{ "count": 152, "next": "https://svs.gsfc.nasa.gov/api/search/?keywords=Forestry&limit=100&offset=100", "previous": null, "results": [ { "id": 15024, "url": "https://svs.gsfc.nasa.gov/15024/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Deforestation in Santa Cruz, Bolivia", "description": "Forty decades of agricultural expansion in Bolivia have completely transformed the landscape. This time series zooms in on a region east of Santa Cruz, where soybean producers cleared tropical dry forests to make way for farms. The broad green expanse is replaced with striking geometric patterns of rectangular fields, protective windbreaks, and radial settlements.", "hits": 277 }, { "id": 15026, "url": "https://svs.gsfc.nasa.gov/15026/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Deforestation in Paraguay’s Gran Chaco", "description": "This animation shows the progression of deforestation in the Paraguayan Chaco from 1985 to 2025 using natural-color images from Landsat satellites. Research using Landsat imagery found that 27% of the Paraguayan Chaco disappeared between 1987 and 2012. Another study found that Dry Chaco forest cover decreased by 20.2% between 2000 and 2019, with Paraguay’s forest experiencing the highest levels of loss.", "hits": 224 }, { "id": 14894, "url": "https://svs.gsfc.nasa.gov/14894/", "result_type": "Produced Video", "release_date": "2025-09-23T13:00:00-04:00", "title": "NASA Flew Over a Fire — to Better Understand Future Ones", "description": "On April 14th-20th, 2025, NASA’s FireSense project led a multi-agency prescribed burn research operation at Fort Stewart-Hunter Army Field, Georgia, in partnership with the U.S. Department of War (DoW). The DoW led the prescribed burn activities, while NASA FireSense coordinated field and airborne sampling with academic and agency partners, including the DoW Strategic Environmental Research and Development Program (SERDP) and DoW Environmental Security Technology Certification Program (ESTCP). The campaign targeted vegetation, fire, and smoke measurements, and aims to enhance understanding of fire behavior and smoke dynamics in order to provide actionable information to practitioners.In a collaboration between NASA, the DoW, and wildland experts, NASA FireSense demonstrates how cutting-edge satellite and airborne technology is revolutionizing fire detection, prescribed fire, and ecosystem management—bringing real-time data to wildland fire managers.NASA FireSense Website || ", "hits": 64 }, { "id": 14854, "url": "https://svs.gsfc.nasa.gov/14854/", "result_type": "Produced Video", "release_date": "2025-06-17T15:00:00-04:00", "title": "From Space to Soil: How NASA Sees Forests", "description": "Music: \"Overview Effect,\" \"All In Stride,\" Universal Production Music. NASA utilizes advanced satellite lidar technology to better understand and observe Earth’s forests—crucial ecosystems that absorb roughly 30 percent of atmospheric carbon. Remote sensing scientist, Laura Duncanson, explains the challenge of studying vast, remote regions where traditional field research is limited. For over 50 years, satellites like Landsat have tracked forest cover, but have lacked the ability to measure how much carbon these forests contain. That’s where NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission comes in. GEDI provides high-resolution 3D data on tree canopy height, canopy structure, and surface elevation, allowing scientists to determine forest biomass. However, based on GEDI’s orbit on the International Space Station (ISS), it is unable to capture data near Earth’s poles. To fill that gap, NASA uses the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2), which, although not originally designed for forests, provides complementary 3D forest data, especially in boreal regions. Together, the two lidar systems enable the first comprehensive global biomass map, revealing where and how much carbon is being lost or regained in forests. With this new understanding comes smarter conservation and restoration efforts, assisting in identifying carbon-rich areas to prioritize protection. With these NASA Earth science missions, we can see a clearer global picture of our planet and its carbon balance. Find out more about NASA’s Earth Sciences Division at https://science.gsfc.nasa.gov/earth.This video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by external sources (see list below) is obtained through permission and may not be excised or remixed in other products. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html Complete transcript available. || 06_04_GEDI_ICESat2_Video_FINAL.00100_print.jpg (1024x576) [231.2 KB] || From_Space_to_Soil_THUMBNAIL.jpg (1280x720) [925.4 KB] || 06_04_GEDI_ICESat2_Video_FINAL.00020_searchweb.png (320x180) [101.0 KB] || 06_04_GEDI_ICESat2_Video_FINAL.00020_web.png (320x180) [101.0 KB] || 06_04_GEDI_ICESat2_Video_FINAL.en_US.srt [7.2 KB] || 06_04_GEDI_ICESat2_Video_FINAL.en_US.vtt [6.9 KB] || 06_04_GEDI_ICESat2_Video_FINAL.mp4 (3840x2160) [2.6 GB] || ", "hits": 175 }, { "id": 14804, "url": "https://svs.gsfc.nasa.gov/14804/", "result_type": "Produced Video", "release_date": "2025-03-27T14:00:00-04:00", "title": "Global Biomass - GEDI and ICESat-2", "description": "Global visualization of forest biomass using GEDI and ICESat-2 data. || biomass_gedi_icesat2_global_4k_colorbar.00001_print.jpg (1024x576) [82.0 KB] || biomass_gedi_icesat2_global_4k_colorbar.00001_searchweb.png (320x180) [28.6 KB] || biomass_gedi_icesat2_global_4k_colorbar.00001_web.png (320x180) [28.6 KB] || biomass_gedi_icesat2_global_4k_colorbar.00001_thm.png [3.0 KB] || biomass_gedi_icesat2_global_4k_colorbar.webm (3840x2160) [18.0 MB] || biomass_gedi_icesat2_global_4k_colorbar.mp4 (3840x2160) [748.8 MB] || ", "hits": 136 }, { "id": 5095, "url": "https://svs.gsfc.nasa.gov/5095/", "result_type": "Visualization", "release_date": "2023-04-20T00:00:00-04:00", "title": "USFS/GEDI Old Growth Forest Visualizations", "description": "This visualization begins with a view of USFS Forest Inventory and Analysis (FIA) plot locations (orange dots) across the continental US. GEDI vegetation height data then draws on dynamically, showing how data from both the USFS and NASA can be used together to increase spatial coverage. || FIA_plots_with_GEDI.00425_print.jpg (1024x576) [304.0 KB] || FIA_plots_with_GEDI.00425_searchweb.png (320x180) [96.4 KB] || FIA_plots_with_GEDI.00425_thm.png (80x40) [6.6 KB] || FIA_plots_with_GEDI_1080p60.mp4 (1920x1080) [26.4 MB] || FIA_plots_with_GEDI_no_legend_1080p60.mp4 (1920x1080) [25.8 MB] || FIA_plots_with_GEDI_1080p60.webm (1920x1080) [2.1 MB] || FIA_plots_with_GEDI (3840x2160) [0 Item(s)] || FIA_plots_with_GEDI_noLegend (3840x2160) [0 Item(s)] || FIA_plots_with_GEDI_2160p60.mp4 (3840x2160) [63.6 MB] || FIA_plots_with_GEDI_no_legend_2160p60.mp4 (3840x2160) [63.0 MB] || FIA_plots_with_GEDI_2160p60.mp4.hwshow [124 bytes] || ", "hits": 71 }, { "id": 4950, "url": "https://svs.gsfc.nasa.gov/4950/", "result_type": "Visualization", "release_date": "2021-10-29T10:00:00-04:00", "title": "GEDI Forest Height", "description": "This visualization depicts a global view of forest height data collected by the GEDI instrument aboard the International Space Station. Brown and dark green represent shorter vegetation. Bright green and white represent taller vegetation. This visualization uses data collected between April 2019 and April 2020. Height is exaggerated to depict variation at this scale.Coming soon to our YouTube channel. || GEDI_global_w_colorbar_0900_print.jpg (1024x576) [83.4 KB] || GEDI_global_w_colorbar_0900_searchweb.png (320x180) [42.8 KB] || GEDI_global_w_colorbar_0900_thm.png (80x40) [4.0 KB] || GEDI_global_w_colorbar_1080p60.mp4 (1920x1080) [17.7 MB] || GEDI_global_w_colorbar_1080p60.webm (1920x1080) [6.0 MB] || GEDI_global_w_colorbar (3840x2160) [0 Item(s)] || GEDI_global_w_colorbar_2160p30.mp4 (3840x2160) [61.5 MB] || GEDI_global_w_colorbar_2160p60.mp4 (3840x2160) [65.5 MB] || captions_silent.31845.en_US.srt [43 bytes] || ", "hits": 253 }, { "id": 4826, "url": "https://svs.gsfc.nasa.gov/4826/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Brazil and Novo Progresso Land Use Data Over Time", "description": "This animation begins by showing the similar sizes between the country of Brazil and the United States. It then cycles through over three decades of classification data for the entire Northern half of Brazil. We then zoom down to the town of Novo Progresso and compare its relative size to the San Francisco Bay region. Next we cycle through over three decades of transformation in the region showing how the north/south corridor of this region changed over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || novo_progressov_finalcomp.2009_print.jpg (1024x576) [287.1 KB] || novo_progressov_finalcomp.2009_searchweb.png (180x320) [105.7 KB] || novo_progressov_finalcomp.2009_thm.png (80x40) [7.3 KB] || novo_progressov_finalcomp_1080p30.mp4 (1920x1080) [48.9 MB] || example_composite (1920x1080) [0 Item(s)] || novo_progressov_finalcomp_1080p30.webm (1920x1080) [7.9 MB] || novo_progressov_finalcomp_1080p30.mp4.hwshow [199 bytes] || ", "hits": 63 }, { "id": 4827, "url": "https://svs.gsfc.nasa.gov/4827/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Novo Progresso Surrounding Region Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Novo Progresso and compare its relative size to the San Francisco Bay region. Next we cycle through over three decades of transformation in the region showing how the north/south corridor of this area opened up over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || novo_wide_finalcomp.2009_print.jpg (1024x576) [387.4 KB] || novo_wide_finalcomp.1116_print.jpg (1024x576) [221.0 KB] || novo_wide_finalcomp_1080p30_2.mp4 (1920x1080) [30.2 MB] || novo_wide_finalcomp_1080p30_2.webm (1920x1080) [3.7 MB] || Example_Composite (1920x1080) [0 Item(s)] || novo_wide_finalcomp_1080p30_2.mp4.hwshow [195 bytes] || ", "hits": 91 }, { "id": 4828, "url": "https://svs.gsfc.nasa.gov/4828/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Colider Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Colider and compares its relative size to Northern California. Next we cycle through over three decades of land use transformation showing cropland a pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || colider_finalcomp.2009_print.jpg (1024x576) [548.1 KB] || colider_finalcomp.2009_searchweb.png (320x180) [144.4 KB] || colider_finalcomp.2009_thm.png (80x40) [8.4 KB] || colider_finalcomp_1080p30.mp4 (1920x1080) [40.2 MB] || colider_finalcomp_1080p30.webm (1920x1080) [4.0 MB] || Example_Composite (1920x1080) [0 Item(s)] || colider_finalcomp_1080p30.mp4.hwshow [191 bytes] || ", "hits": 30 }, { "id": 4829, "url": "https://svs.gsfc.nasa.gov/4829/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Ji-Paraná Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Ji Parana and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing cropland a pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || ji_parana_finalcomp.2009_print.jpg (1024x576) [412.8 KB] || ji_parana_finalcomp.2009_searchweb.png (320x180) [133.8 KB] || ji_parana_finalcomp.2009_thm.png (80x40) [8.2 KB] || ji_parana_finalcomp_1080p30.mp4 (1920x1080) [34.0 MB] || Example_Composite (1920x1080) [0 Item(s)] || ji_parana_finalcomp_1080p30.webm (1920x1080) [3.8 MB] || ji_parana_finalcomp_1080p30.mp4.hwshow [193 bytes] || ", "hits": 50 }, { "id": 4830, "url": "https://svs.gsfc.nasa.gov/4830/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Rio Branco Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Rio Branco and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || rio_branco_finalcomp.2009_print.jpg (1024x576) [331.8 KB] || rio_branco_finalcomp.2009_searchweb.png (320x180) [108.8 KB] || rio_branco_finalcomp.2009_thm.png (80x40) [7.4 KB] || rio_branco_finalcomp_1080p30.mp4 (1920x1080) [24.0 MB] || rio_branco_finalcomp_1080p30.webm (1920x1080) [3.4 MB] || Example_Composite (1920x1080) [0 Item(s)] || rio_branco_finalcomp_1080p30.mp4.hwshow [194 bytes] || ", "hits": 43 }, { "id": 4831, "url": "https://svs.gsfc.nasa.gov/4831/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Uatumã Biological Reserve Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the Uatumã Biological Reserve and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation to show the lake formation over time as well as the increased pasture and croplands to the west of the lake. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || dam_finalcomp.2009_print.jpg (1024x576) [216.7 KB] || dam_finalcomp.2009_searchweb.png (320x180) [80.9 KB] || dam_finalcomp.2009_thm.png (80x40) [5.9 KB] || dam_finalcomp_1080p30.mp4 (1920x1080) [22.1 MB] || Example_Composite (1920x1080) [0 Item(s)] || dam_finalcomp_1080p30.webm (1920x1080) [3.3 MB] || dam_finalcomp_1080p30.mp4.hwshow [187 bytes] || ", "hits": 40 }, { "id": 4832, "url": "https://svs.gsfc.nasa.gov/4832/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Itaituba and Uruara Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region between Itaituba and Uruara and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || ruropolis_finalcomp.2009_print.jpg (1024x576) [345.6 KB] || ruropolis_finalcomp.2009_searchweb.png (320x180) [116.9 KB] || ruropolis_finalcomp.2009_thm.png (80x40) [7.6 KB] || ruropolis_finalcomp_1080p30.mp4 (1920x1080) [29.5 MB] || Sample_Composite (1920x1080) [0 Item(s)] || ruropolis_finalcomp_1080p30.webm (1920x1080) [3.5 MB] || ruropolis_finalcomp_1080p30.mp4.hwshow [193 bytes] || ", "hits": 30 }, { "id": 4833, "url": "https://svs.gsfc.nasa.gov/4833/", "result_type": "Visualization", "release_date": "2021-04-19T12:00:00-04:00", "title": "Northern Brazil Land Use Data Over Time", "description": "This data visualization begins with a wide view of Northern Brazil. While zooming in a little closer an image of the United States fades in to get the relative size of the region. Next we cycle through over three decades of transformation in the region showing land use change over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || brazil_wide_finalcomp.2009_print.jpg (1024x576) [451.8 KB] || brazil_wide_finalcomp.2009_searchweb.png (320x180) [128.6 KB] || brazil_wide_finalcomp.2009_thm.png (80x40) [8.1 KB] || brazil_wide_finalcomp_1080p30.mp4 (1920x1080) [31.3 MB] || Sample_Composite (1920x1080) [0 Item(s)] || brazil_wide_finalcomp_1080p30.webm (1920x1080) [3.8 MB] || brazil_wide_finalcomp_1080p30.mp4.hwshow [195 bytes] || ", "hits": 81 }, { "id": 13694, "url": "https://svs.gsfc.nasa.gov/13694/", "result_type": "Produced Video", "release_date": "2021-04-19T09:00:00-04:00", "title": "Tracking Amazon Deforestation", "description": "The Amazon is the largest tropical rainforest in the world, nearly as big as the continental United States. But every year, less of that forest is still standing. Today's deforestation across the Amazon frontier is tractors and bulldozers clearing large swaths to make room for industrial-scale cattle ranching and crops. Landsat satellite data is used to map land cover in Brazil with a historical perspective, going back to 1984.Music: Organic Circuit by Richard Birkin [PRS]; Into the Atmosphere by Sam Joseph Delves [PRS]; Ethereal Journey by Noé Bailleux [SACEM]; Wildfires by Magnum Opus [ASCAP]; Letter For Tomorrow by Anthony d’Amario [SACEM].Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || Amazon_clearing_poster.jpg (3840x2160) [2.4 MB] || Amazon_clearing_DSC_1491.jpg (6000x4000) [5.3 MB] || Amazon_clearing_poster_searchweb.png (320x180) [88.6 KB] || Amazon_clearing_poster_thm.png (80x40) [5.8 KB] || 13694_Amazon_deforestation_yt.mp4 (1920x1080) [417.9 MB] || 13694_Amazon_deforestation_tw.mp4 (1280x720) [89.4 MB] || 13694_Amazon_deforestation_yt.webm (1920x1080) [45.5 MB] || 13694_Amazon_deforestation-captions.en_US.srt [7.1 KB] || 13694_Amazon_deforestation-captions.en_US.vtt [6.9 KB] || ", "hits": 693 }, { "id": 4900, "url": "https://svs.gsfc.nasa.gov/4900/", "result_type": "Visualization", "release_date": "2021-04-19T00:00:00-04:00", "title": "Novo Progresso Deforestation Soccer Field Comparison", "description": "Animation begins with a stylized bright green soccer field. Soccer fields then fall into place over a recently deforested field showing the estimated size of the newly cleared field. The camera then pulls back to reveal all the recently deforested areas (shown in bright green) around Novo Progresso from 2017 to 2018. || soccer_comp.0700_print.jpg (1024x576) [161.5 KB] || soccer_comp.0700_searchweb.png (320x180) [85.8 KB] || soccer_comp.0700_thm.png (80x40) [14.1 KB] || soccer_2017_2018_1080p30.mp4 (1920x1080) [28.6 MB] || 2017_to_2018 (1920x1080) [0 Item(s)] || soccer_2017_2018_1080p30.webm (1920x1080) [5.7 MB] || soccer_2017_2018_1080p30.mp4.hwshow [190 bytes] || ", "hits": 54 }, { "id": 13614, "url": "https://svs.gsfc.nasa.gov/13614/", "result_type": "Produced Video", "release_date": "2020-05-18T11:00:00-04:00", "title": "40 Years of Forest Recovery", "description": "The long record of Landsat data (since 1972) is helping scientists Sean Healey and Zhiqiang Yang of the Rocky Mountain Research Station (U.S. Forest Service) study the long-term impact of the May 18, 1980, eruption of Mount St. Helens. With Landsat data for 8 years before the eruption, and 40 years since, they have calculated the percent tree cover for each year, watching as vegetation grows back.Music: The Waiting Room by Sam Dodson [PRS], published by Atmosphere Music Ltd [PRS]; Inner Strength by Brava [SGAE], Dsilence [SGAE], Input [SGAE] , Output [SGAE], published by El Murmullo Sarao [SGAE], Universal Sarao [SGAE], Some Assembly by Kyle Fredrickson [ASCAP] and Taylor Alexander Locke [BMI], published by Killer Tracks [BMI], Soundcast Music [SESAC], and Light From Dark by Adam Salkeld [PRS] and Neil Pollard [PRS], published by Atmosphere Music Ltd [PRS], all available from Universal Production Music.Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13614_Mt_St_Helens_Landsat.png (1920x1080) [4.0 MB] || 13614_Mt_St_Helens_print.png (1920x1080) [3.5 MB] || 13614_Mt_St_Helens_print_print.jpg (1024x576) [287.9 KB] || 13614_Mt_St_Helens_print_searchweb.png (320x180) [106.3 KB] || 13614_Mt_St_Helens_print_thm.png (80x40) [7.4 KB] || 13614_Mt_St_Helens_prores.mov (1920x1080) [11.9 GB] || 13614_Mt_St_Helens_youtube.mp4 (1920x1080) [411.3 MB] || 13614_Mt_St_Helens_facebook.mp4 (1920x1080) [354.9 MB] || 13614_Mt_St_Helens_twitter.mp4 (1504x846) [139.3 MB] || 13614_Mt_St_Helens_youtube.webm (1920x1080) [47.9 MB] || 13614_Mt_St_Helens-captions.en_US.srt [8.6 KB] || 13614_Mt_St_Helens-captions.en_US.vtt [8.6 KB] || ", "hits": 65 }, { "id": 13313, "url": "https://svs.gsfc.nasa.gov/13313/", "result_type": "Produced Video", "release_date": "2019-09-12T00:00:00-04:00", "title": "NASA Science Live: A World of Fires (Episode 8)", "description": "NASA Science Live: A World of Fires (Episode 8)Program Aired September 12, 2019 || 13313_NSL_Fires_Ep8_youtube.00377_print.jpg (1024x576) [73.1 KB] || 13313_NSL_Fires_Ep8_youtube.00377_searchweb.png (320x180) [77.6 KB] || 13313_NSL_Fires_Ep8_youtube.00377_thm.png (80x40) [5.7 KB] || 13313_NSL_Fires_Ep8_lowres.mp4 (1280x720) [551.2 MB] || 13313_NSL_Fires_Ep8_youtube.mp4 (1280x720) [3.1 GB] || 13313_NSL_Fires_Ep8.mov (1280x720) [20.7 GB] || 13313_NSL_Fires_Ep8_youtube.webm (1280x720) [222.2 MB] || 13313_NSL_Fires_Ep8.en_US.srt [57.8 KB] || 13313_NSL_Fires_Ep8.en_US.vtt [54.6 KB] || ", "hits": 18 }, { "id": 4735, "url": "https://svs.gsfc.nasa.gov/4735/", "result_type": "Visualization", "release_date": "2019-07-29T18:30:00-04:00", "title": "NASA Surveys Hurricane Damage to Puerto Rico's Forests (Data Viz Version)", "description": "Hurricane Maria transformed the lush rainforests of Puerto Rico leaving lots of openings in the forest canopy. NASA scientists studied the island's forests before and after the storm. Goddard's Lidar, Hyperspectral, and Thermal Imager (G-LiHT) is a portable instrument that maps forest health and structure from a small airplane resulting in detailed 3-D views of the forest. G-LiHT sends out 600,000 laser pulses every second mapping leaves and branches, rocks and streams. Almost 60% of the canopy trees lost branches, snapped in half, or were uprooted. Trees with wide, spreading crowns were reduced to a slender main trunk. Forests in Puerto Rico are now one-third shorter on average, after Hurricane Maria. The disturbances affected the whole ecosystem, from soils and streams to birds and frogs. G-LiHT data will help scientists understand how forests and wildlife respond to future changes. || SIGGRAPH_lidar_over_Puerto_Rico.01000_print.jpg (1024x576) [90.3 KB] || SIGGRAPH_lidar_over_Puerto_Rico.01000_searchweb.png (320x180) [89.6 KB] || SIGGRAPH_lidar_over_Puerto_Rico.01000_thm.png (80x40) [7.1 KB] || SIGGRAPH_PuertoRicoLidar.webm (1920x1080) [19.9 MB] || SIGGRAPH_lidar_over_Puerto_Rico.webm (1920x1080) [21.4 MB] || SIGGRAPH_PuertoRicoLidar.mp4 (1920x1080) [253.0 MB] || ", "hits": 55 }, { "id": 13114, "url": "https://svs.gsfc.nasa.gov/13114/", "result_type": "Produced Video", "release_date": "2018-12-17T10:00:00-05:00", "title": "GEDI Overview", "description": "The GEDI instrument was built at NASA's Goddard Space Flight Center, and has the highest resolution and densest sampling of any lidar every put in orbit. The mission is led by the University of Maryland and is designed to help researchers understand how ecosystems are storing carbon.Complete transcript available.Music: Secret Science, by Lee Groves [PRS], Peter George Marett [PRS]; Team Effort, by Alexandre Prodhomme [SACEM], Eddy Pradelles [SACEM]Watch this video on the NASA Goddard YouTube channel. || GEDI_on_ISS_print.jpg (1024x576) [60.9 KB] || GEDI_on_ISS.png (3840x2160) [5.6 MB] || GEDI_on_ISS_searchweb.png (320x180) [56.5 KB] || GEDI_on_ISS_thm.png (80x40) [5.2 KB] || 13114_GEDI_overview_prores.mov (1920x1080) [6.3 GB] || 13114_GEDI_overview_youtube_1080.mp4 (1920x1080) [354.2 MB] || 13114_GEDI_overview_youtube_720.mp4 (1280x720) [354.4 MB] || 13114_GEDI_overview_twitter_720.mp4 (1280x720) [49.8 MB] || 13114_GEDI_overview.webm (960x540) [91.1 MB] || 13114_GEDI_overview-captions.en_US.srt [5.0 KB] || 13114_GEDI_overview-captions.en_US.vtt [5.0 KB] || ", "hits": 154 }, { "id": 12590, "url": "https://svs.gsfc.nasa.gov/12590/", "result_type": "Produced Video", "release_date": "2018-12-10T09:45:00-05:00", "title": "3-D Views of Puerto Rico's Forests After Hurricane Maria", "description": "To get a detailed look at vegetation and land cover, NASA uses an airborne instrument called Goddard’s Lidar, Hyperspectral and Thermal Airborne Imager, or G-LiHT. From the belly of a small aircraft flying one thousand feet above the trees, G-LiHT collects multiple measurements of forests, including high-resolution photographs, surface temperatures and the heights and structure of the vegetation. Watch this video on the NASA Goddard YouTube channel.Complete transcript available.Music: Letting the Past Go, by Ben Hales [PRS], Matt Hales [PRS] || 12590_Puerto_Rico_lidar_youtube_1080.00248_print.jpg (1024x576) [311.0 KB] || 12590_Puerto_Rico_lidar_youtube_1080.00248_searchweb.png (320x180) [126.9 KB] || 12590_Puerto_Rico_lidar_youtube_1080.00248_thm.png (80x40) [6.4 KB] || 12590_Puerto_Rico_lidar_twitter_720.mp4 (1280x720) [29.6 MB] || 12590_Puerto_Rico_lidar.webm (960x540) [49.2 MB] || 12590_Puerto_Rico_lidar_youtube_720.mp4 (1280x720) [182.1 MB] || 12590_Puerto_Rico_lidar_youtube_1080.mp4 (1920x1080) [193.0 MB] || 12590_Puerto_Rico_lidar-captions.en_US.srt [1.6 KB] || 12590_Puerto_Rico_lidar-captions.en_US.vtt [1.6 KB] || 12590_Puerto_Rico_lidar_prores.mov (1920x1080) [1.7 GB] || ", "hits": 46 }, { "id": 13100, "url": "https://svs.gsfc.nasa.gov/13100/", "result_type": "Produced Video", "release_date": "2018-11-07T07:45:00-05:00", "title": "GEDI: Mapping Carbon in 3-D", "description": "The Global Ecosystem Dynamics Investigation (GEDI) instrument will measure forest structure and canopy height, from a perch on the International Space Station. By sending laser pulses down to Earth, GEDI will generate a three-dimensional map of forest structure that will allow scientists to better understand where carbon is being stored around the world.Music: \"Hard Thinking\" by Leonard-Morgen and \"Hidden Files\" by Sam Dodson [PRS] Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13100_GEDI_texter_still_print.jpg (1024x576) [121.7 KB] || 13100_GEDI_texter_still_searchweb.png (320x180) [103.7 KB] || 13100_GEDI_texter_still_thm.png (80x40) [8.2 KB] || 13100_GEDI_texter_still.tif (1920x1080) [7.9 MB] || 13100_GEDI_texter.webm (1920x1080) [10.5 MB] || 13100_GEDI_texter.mp4 (1920x1080) [152.6 MB] || 13100_GEDI_texter_720.mp4 (1280x720) [152.3 MB] || 13100_GEDI_texter-captions.en_US.srt [1.4 KB] || 13100_GEDI_texter-captions.en_US.vtt [1.5 KB] || 13100_GEDI_texter.mov (1920x1080) [2.6 GB] || ", "hits": 72 }, { "id": 13090, "url": "https://svs.gsfc.nasa.gov/13090/", "result_type": "Produced Video", "release_date": "2018-10-09T08:00:00-04:00", "title": "GEDI Media Resources", "description": "The Global Ecosystem Dynamics Investigation (GEDI) uses laser pulses to give a view of the 3D structure of the Earth. GEDI’s precise measurements of the height and vertical structure of forest canopy, along with the surface elevation, will greatly advance our ability to characterize important carbon and water cycling processes, biodiversity, and habitat. The mission is led by the University of Maryland, College Park, and the instrument was built and tested at NASA's Goddard Space Flight Center.GEDI observes nearly all tropical and temperate forests using a self-contained laser altimeter on the International Space Station. GEDI has the highest resolution and densest sampling of any lidar ever put in orbit. This has required a number of innovative technologies to be developed at NASA Goddard.GEDI has three lasers that produce 8 parallel tracks of observations. Each laser fires 242 times per second and illuminates a 25-meter footprint on the surface over which 3D structure is measured. Each footprint is separated by 60 meters along the track, with an across-track distance of about 600 m between each of the 8 tracks. GEDI is expected to produce about 10 billion cloud-free observations during its nominal 24-month mission length.With these observations, GEDI will provide answers to how deforestation has contributed to atmospheric CO2 concentrations, how much carbon forests will absorb in the future, and how habitat degradation will affect global biodiversity. This data is of immense value for forest and water resource management, carbon cycle science, and weather prediction.For more information about GEDI: https://gedi.umd.edu || ", "hits": 217 }, { "id": 4530, "url": "https://svs.gsfc.nasa.gov/4530/", "result_type": "Visualization", "release_date": "2018-06-12T11:00:00-04:00", "title": "50 Kilometers of Brazilian Forest Canopy", "description": "This visualization shows an airplane collecting a 50 kilometer swath of lidar data over the Brazilian rainforest. For ground level features, colors range from deep brown to tan. Vegetation heights are depicted in shades of green, where dark greens are closest to the ground and light greens are the highest. || transect2014.17900_print.jpg (1024x576) [106.2 KB] || transect2014.17900_searchweb.png (320x180) [44.6 KB] || transect2014.17900_thm.png (80x40) [4.1 KB] || transect2014_720p30.webm (1280x720) [71.4 MB] || transect2014_720p30.mp4 (1280x720) [132.4 MB] || transect2014_1080p30.mp4 (1920x1080) [311.2 MB] || transect2014_360p30.mp4 (640x360) [30.3 MB] || transect2014 (3840x2160) [0 Item(s)] || transect2014_2160p30_3.mp4 (3840x2160) [1.2 GB] || transect2014_1080p30.mp4.hwshow [212 bytes] || ", "hits": 71 }, { "id": 30162, "url": "https://svs.gsfc.nasa.gov/30162/", "result_type": "Hyperwall Visual", "release_date": "2017-09-01T12:00:00-04:00", "title": "Devastation and Recovery of Mt. St. Helens", "description": "In the nearly four decades since the eruption (1980), Mt. St. Helens has given scientists an unprecedented opportunity to witness the steps through which life reclaims a devastated landscape. The scale of the eruption and the beginning of reclamation in the Mt. St. Helens blast zone are documented in this series of images between 1979 and 2017. The older images are false-color (vegetation is red). Not surprisingly, the first noticeable recovery (late 1980s) takes place in the northwestern quadrant of the blast zone, farthest from the volcano. It is another decade (late 1990s) before the terrain east of Spirit Lake is considerably greener. By the end of the series, the only area (beyond the slopes of the mountain itself) that remains conspicuously bare at the scale of these images is the Pumice Plain. || ", "hits": 94 }, { "id": 12684, "url": "https://svs.gsfc.nasa.gov/12684/", "result_type": "Produced Video", "release_date": "2017-08-15T16:00:00-04:00", "title": "Earth Expedition: Studying Wildfires in a Warming Arctic", "description": "Music: Suspended Beauty by Laurent Dury [SACEM]Complete transcript available. || LARGE_MP4-Aug7_Wildfires_large.00529_print.jpg (1024x576) [58.4 KB] || LARGE_MP4-Aug7_Wildfires_large.00529_searchweb.png (320x180) [59.1 KB] || LARGE_MP4-Aug7_Wildfires_large.00529_thm.png (80x40) [4.7 KB] || WEBM-Aug7_Wildfires.webm (960x540) [13.5 MB] || LARGE_MP4-Aug7_Wildfires_large.mp4 (1920x1080) [35.0 MB] || APPLE_TV-Aug7_Wildfires_appletv.m4v (1280x720) [12.5 MB] || YOUTUBE_HQ-Aug7_Wildfires_youtube_hq.mov (1920x1080) [141.4 MB] || APPLE_TV-Aug7_Wildfires_appletv_subtitles.m4v (1280x720) [12.5 MB] || Aug7_Wildfires.en_US.srt [464 bytes] || Aug7_Wildfires.en_US.vtt [477 bytes] || NASA_PODCAST-Aug7_Wildfires_ipod_sm.mp4 (320x240) [4.8 MB] || ", "hits": 22 }, { "id": 4399, "url": "https://svs.gsfc.nasa.gov/4399/", "result_type": "Visualization", "release_date": "2015-11-30T00:00:00-05:00", "title": "A Quarter Century US Forest Disturbance History from Landsat – the NAFD-NEX Products", "description": "Visualization showing forest change in various locations from 1986 to 2010This video is also available on our YouTube channel. || annual_forest43.04000_print.jpg (1024x576) [253.2 KB] || annual_forest43.04000_searchweb.png (180x320) [129.5 KB] || annual_forest43.04000_thm.png (80x40) [7.7 KB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || annual_forest43_1920x1080p60.webm (1920x1080) [23.2 MB] || annual_forest43_1920x1080p60.mp4 (1920x1080) [228.8 MB] || 9600x3240_16x9_30p (9600x3240) [0 Item(s)] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || annual_forest43_4399.key [233.2 MB] || annual_forest43_4399.pptx [230.6 MB] || annual_forest43_4k_2160p60.mp4 (3840x2160) [825.7 MB] || 4399_annual_forest43_4k_cbar_MP4.mov (3840x2160) [14.4 GB] || annual.hwshow [55 bytes] || ", "hits": 85 }, { "id": 4071, "url": "https://svs.gsfc.nasa.gov/4071/", "result_type": "Visualization", "release_date": "2013-05-08T12:00:00-04:00", "title": "Normalized Differential Vegetation Index critical to Agricultural Monitoring in Ukraine, Russia, and Kazakhstan", "description": "On April 29-30, 2012 the G8 International Conference on Open Data for Agriculture brought together open data and agriculture experts along with the U.S. Agriculture Secretary U.S. Chief Technology Officer, and the World Bank Vice President for Sustainable Development to explore more opportunities for open data and knowledge sharing. Governments want to help their farmers protect crops from pests and extreme weather, monitor water supplies and anticipate planting seasons that are shifting due to climate change. New satellite technologies offer enhanced capabilities for early forecasting of food production at national, regional, and global scales. The Group on Earth Observations (GEO) Global Agricultural Monitoring (GEOGLAM) program aims to strengthen national capacity in all countries from freely available data.These visuals show MODIS' satellite-derived crop NDVI Anomaly relative to average (2000-2011). Orange and brown indicate crop with below average conditions. Green indicates crop with above averate conditions. || ", "hits": 259 }, { "id": 4072, "url": "https://svs.gsfc.nasa.gov/4072/", "result_type": "Visualization", "release_date": "2013-05-08T12:00:00-04:00", "title": "Normalized Differential Vegetation Index critical to Agricultural Monitoring in the United States", "description": "On April 29-30, 2012 the G8 International Conference on Open Data for Agriculture brought together open data and agriculture experts along with the U.S. Agriculture Secretary U.S. Chief Technology Officer, and the World Bank Vice President for Sustainable Development to explore more opportunities for open data and knowledge sharing. Governments want to help their farmers protect crops from pests and extreme weather, monitor water supplies and anticipate planting seasons that are shifting due to climate change. New satellite technologies offer enhanced capabilities for early forecasting of food production at national, regional, and global scales. The Group on Earth Observations (GEO) Global Agricultural Monitoring (GEOGLAM) program aims to strengthen national capacity in all countries from freely available data.These visuals show MODIS' satellite-derived crop NDVI Anomaly relative to average (2000-2011). Orange and brown indicate crop with below average conditions. Green indicates crop with above averate conditions. The visual compares the crop conditions or NDVI anomaly from year 2011-2012 to year 2012-2013. In the 2012-2013 year 7,342 more metric tons (MT) of wheat were produced then in the previous year, but 40,086 fewer metric tons of corn were produced. || ", "hits": 224 }, { "id": 3870, "url": "https://svs.gsfc.nasa.gov/3870/", "result_type": "Visualization", "release_date": "2011-10-18T23:00:00-04:00", "title": "African Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. The MODIS instrument onboard the Terra and Aqua satellite, was specifically designed to detect fires. As a result, it can see both smaller fires and a wide range of fires from cool grass fires to raging forest fires. Burning carbon particles both on the tiny soot particles in the flame and on the fuel itself emit a very specific wavelength of light, 3.8 to 4 microns. NASA research has contributed to much improved detection of fire for scientific purposes using satellite remote sensing and geographic information systems. This has helped advance our understanding of the impacts of fire in many areas of earth science, including atmospheric chemistry and the impacts on protected areas. This research has led to the development of a rapid response system widely used throughout the world for both natural resource management and for firefighting by providing near real-time information. The visualization shows fires detected in Africa from July 2002 through July 2011. Africa has more abundant burning than any other continent. MODIS observations have shown that some 70 percent of the world's fires occur in Africa alone. \"It's incredibly satisfying to see such a long record of fires visualized,\" said Chris Justice, a scientist from the University of Maryland who leads NASA's effort to use MODIS data to study the world's fires. \"It's not only exciting visually, but what you see here is a very good representation of the data scientists use to understand the global distribution of fires and to determine where and how fires are responding to climate change and population growth.\"More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 46 }, { "id": 3869, "url": "https://svs.gsfc.nasa.gov/3869/", "result_type": "Visualization", "release_date": "2011-10-18T19:00:00-04:00", "title": "Boreal Forest Fire Observations and MODIS NDVI", "description": "NASA has released a series of new visualizations that show the locations of the millions of fires detected by key fire-monitoring instruments on NASA satellites over the last decade. This visualization shows fire observations made by the MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites in Europe and Asia from July 2002 through July 2011. \"It's incredibly satisfying to see such a long record of fires visualized,\" said Chris Justice, a scientist from the University of Maryland who leads NASA's effort to use MODIS data to study the world's fires. \"It's not only exciting visually, but what you see here is a very good representation of the data scientists use to understand the global distribution of fires and to determine where and how fires are responding to climate change and population growth.\"More information on the Fire Information for Resource Management System (FIRMS) is available at https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms. || ", "hits": 30 }, { "id": 3871, "url": "https://svs.gsfc.nasa.gov/3871/", "result_type": "Visualization", "release_date": "2011-10-18T19:00:00-04:00", "title": "Australia Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. The MODIS instrument onboard the Terra and Aqua satellite, was specifically designed to detect fires. This visualization shows fire detections from July 2002 through July 2011. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. The tour begins in Australia in 2002 by showing a network of massive grassland fires spreading across interior Australia as well as the greener Eucalyptus forests in the northern and eastern part of the continent.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 19 }, { "id": 3872, "url": "https://svs.gsfc.nasa.gov/3872/", "result_type": "Visualization", "release_date": "2011-10-18T19:00:00-04:00", "title": "South American Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. NASA research has contributed to much improved detection of fire for scientific purposes using satellite remote sensing and geographic information systems. This visualization of South America shows fire observations made by MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites . South America exhibits a steady flickering of fire across much of the Amazon rainforest with peaks of activity in September and November. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 39 }, { "id": 3873, "url": "https://svs.gsfc.nasa.gov/3873/", "result_type": "Visualization", "release_date": "2011-10-18T19:00:00-04:00", "title": "United States Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. NASA has released a series of new visualizations that show fires detected by key fire-monitoring instruments on NASA satellites over the last decade. The visualizations show fire observations made by MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. \"It's incredibly satisfying to see such a long record of fires visualized,\" said Chris Justice, a scientist from the University of Maryland who leads NASA's effort to use MODIS data to study the world's fires. \"It's not only exciting visually, but what you see here is a very good representation of the data scientists use to understand the global distribution of fires and to determine where and how fires are responding to climate change and population growth.\" North America is a region where fires are comparatively rare. North American fires make up just 2 percent of the world's burned area each year. The fires that receive the most attention in the United States, the uncontrolled forest fires in the West, are less visible than the wave of agricultural fires prominent in the Southeast and along the Mississippi River Valley, but some of the large wildfires that struck Texas earlier this spring are visible.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 26 }, { "id": 3868, "url": "https://svs.gsfc.nasa.gov/3868/", "result_type": "Visualization", "release_date": "2011-10-18T01:00:00-04:00", "title": "Global Fire Observations and MODIS NDVI", "description": "This visualization leads viewers on a narrated global tour of fire detections beginning in July 2002 and ending July 2011. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. The tour begins in Australia in 2002 by showing a network of massive grassland fires spreading across interior Australia as well as the greener Eucalyptus forests in the northern and eastern part of the continent. The tour then shifts to Asia where large numbers of agricultural fires are visible first in China in June 2004, then across a huge swath of Europe and western Russia in August, and then across India and Southeast Asia through the early part of 2005. It moves next to Africa, the continent that has more abundant burning than any other. MODIS observations have shown that some 70 percent of the world's fires occur in Africa alone. In what's a fairly average burning season, the visualization shows a huge outbreak of savanna fires during the dry season in Central Africa in July, August, and September of 2006, driven mainly by agricultural activities but also by the fact that the region experiences more lightning than anywhere else in the world. The tour shifts next to South America where a steady flickering of fire is visible across much of the Amazon rainforest with peaks of activity in September and November of 2009. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring. It concludes in North America, a region where fires are comparatively rare. North American fires make up just 2 percent of the world's burned area each year. The fires that receive the most attention in the United States, the uncontrolled forest fires in the West, are less visible than the wave of agricultural fires prominent in the Southeast and along the Mississippi River Valley, but some of the large wildfires that struck Texas earlier this spring are visible. More information on the Fire Information for Resource Management System (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 65 }, { "id": 3649, "url": "https://svs.gsfc.nasa.gov/3649/", "result_type": "Visualization", "release_date": "2009-10-06T12:00:00-04:00", "title": "Food Consumers versus Food Producers", "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events. || ", "hits": 16 }, { "id": 3650, "url": "https://svs.gsfc.nasa.gov/3650/", "result_type": "Visualization", "release_date": "2009-10-06T12:00:00-04:00", "title": "Food Insecure Countries", "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events. Food security in 70 developing countries is projected to deteriorate over the next decade, according to USDA's Economic Research Service. After rising nearly 11 percent from 2007 to 2008, the number of food-insecure people in the developing countries analyzed by ERS researchers is estimated to rise to 833 million in 2009, an almost 2-percent rise from 2008 to 2009. Despite a decline in food prices in late 2008, deteriorating purchasing power and food security are expected in 2009 because of the growing financial deficits and higher inflation that have occurred in recent years. Food-insecure people are defined as those consuming less than the nutritional target of 2,100 calories per day per person. || ", "hits": 19 }, { "id": 3629, "url": "https://svs.gsfc.nasa.gov/3629/", "result_type": "Visualization", "release_date": "2009-10-05T12:00:00-04:00", "title": "Crop Intensity", "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events.To successfully monitor worldwide agricultural regions and provide accurate agricultural production assessments, it is important to understand the spatial distribution of croplands. To do this a global croplands mask to identify all sites used for crop production. Croplands are highly variable both temporally and spatially. Croplands vary from year to year due to events such as drought and fallow periods, and they vastly differ across the globe in accordance with characteristics such as cropping intensity and field size. A flexible crop likelihood mask is used to help depict these varying characteristics of global crop cover. Regions featuring intensive agro-industrial farming practices such as the Maize Triangle in South Africa will have higher confidence values in the crop mask as compared to less intensively farmed regions in parts of Sub-Saharan Africa where cropland identification is partly confounded with natural background vegetation phenologies. Thus, a customized threshold can be employed to examine areas of varying cropping intensification. || ", "hits": 47 }, { "id": 3637, "url": "https://svs.gsfc.nasa.gov/3637/", "result_type": "Visualization", "release_date": "2009-10-05T12:00:00-04:00", "title": "Deforestation of Rondonia, Brazil from 1975 to 2009", "description": "In the 1970s, Brazil's Program of National Integration built roads across the Amazon and settled land along these roads with colonists. These roads were catalysts of land use change in the Amazon.Brazil is also home to more than a quarter of Earth's tropical forests. Considering that the band of lush green that circles the globe through many equatorial nations is fundamental to the overall health of the whole planet's environment, careful monitoring of forest health in the tropics is essential. Tropical forests act as major carbon 'sinks', places where ambient carbon dioxide in the atmosphere can be absorbed by growing things and sequestered for years. Definitive evidence shows that excess carbon dioxide can contribute to the greenhouse effect and speed global warming. Similarly, tropical forests also act as a primary producer of oxygen. In the respiration process that absorbs gaseous carbon dioxide, trees and other plants give off oxygen.Data taken in 1975 and 2009 from the Landsat series of spacecraft shows enormous tracts of forest disappearing in Rondonia, Brazil. || ", "hits": 174 }, { "id": 3646, "url": "https://svs.gsfc.nasa.gov/3646/", "result_type": "Visualization", "release_date": "2009-10-05T12:00:00-04:00", "title": "2009 Crop Intensity, 2009 Producers, and 2050 Projected Population", "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events.To successfully monitor worldwide agricultural regions and provide accurate agricultural production assessments, it is important to understand the spatial distribution of croplands. To do this a global croplands mask to identify all sites used for crop production. Croplands are highly variable both temporally and spatially. Croplands vary from year to year due to events such as drought and fallow periods, and they vastly differ across the globe in accordance with characteristics such as cropping intensity and field size. A flexible crop likelihood mask is used to help depict these varying characteristics of global crop cover. Regions featuring intensive agro-industrial farming practices such as the Maize Triangle in South Africa will have higher confidence values in the crop mask as compared to less intensively farmed regions in parts of Sub-Saharan Africa where cropland identification is partly confounded with natural background vegetation phenologies. Thus, a customized threshold can be employed to examine areas of varying cropping intensification. || ", "hits": 16 }, { "id": 3624, "url": "https://svs.gsfc.nasa.gov/3624/", "result_type": "Visualization", "release_date": "2009-09-13T01:00:00-04:00", "title": "2008 Northern Australia Fire Observations", "description": "The data used to generate this animation were collected by the NASA MODIS intrument. Data are collected four times per day using two satellite platforms. The instrument design included the capability to identify active fires sensing in the middle infrared part of the spectrum. The fire data used in the animation were generated by the MODIS advanced processing system at NASA. The MODIS Global Fire data are available free of charge and within a few hours of satellite acquisition. The fire data are used by scientists and fire managers around the world. The fires that these data show include - savanna fires, wildfires, managed fires, agricultural fires, and thermal anomalies associated with power plants or gas flares. Fires occur around the world at different times of the year. MODIS is entering its 10th year of data collection and we are using the data to study the global distribution of fires and document changed in fire regimes due to climate or land use change. These fire data are used by Australian fire managers and scientists. Dr Chris Justice and the MODIS team participated in the NAILSMA experiment. NAILSMA was commissioned by the Northern Australia Land and Water Taskforce to convene a forum to bring together key Indigenous water experts from across the north of Australia to discuss their water interests and issues. This part of Northern Australia is an important area in terms of biodiversity and fire is an integral ecosystem process. We are interested in applying these data and other data from the MODIS instrument to better understand the occurence of fire and its characteristics in the Northern Territories with respect to emissions of trace gases into the atmosphere an the imacts of fire on the ecosystem. || ", "hits": 23 }, { "id": 3601, "url": "https://svs.gsfc.nasa.gov/3601/", "result_type": "Visualization", "release_date": "2009-06-27T12:00:00-04:00", "title": "Global Agricultural Monitoring", "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events. || ", "hits": 25 }, { "id": 3598, "url": "https://svs.gsfc.nasa.gov/3598/", "result_type": "Visualization", "release_date": "2009-06-24T12:00:00-04:00", "title": "Monitoring Agricultural Production from Space", "description": "Normalized Difference Vegetation Index (NDVI) maps allow comparisons of the spatial and temporal variability in the amount and condition of vegetation. The time series satellite derived NDVI was used to monitor and analyze changes in vegetation patterns in the major wheat production domain area in Australia. The NDVI comparison was done during the growing season, April through November, for 2002, 2005, and 2006 and it found that significant differences in vegetation growth production. These data and utilities are fundamental for crop yield forecasts and can serve as an early warning system for regions suffering from crop loss and food shortages. Wheat is Australia's most important crop, with a seasonal gross value approaching 3 billion Australian dollars. Australia contributes between and 8 and 15% of world's wheat trade, making it the fourth largest exporter after the United States, Canada and the European Union. Severe drought in Australia not only decimating crops, but it also curtails exports and causes major price and trade impacts on global markets. In 2006, wheat exports dropped by a third from the year before which caused worldwide prices to soar to the highest levels in a decade. || ", "hits": 29 }, { "id": 3597, "url": "https://svs.gsfc.nasa.gov/3597/", "result_type": "Visualization", "release_date": "2009-06-13T01:00:00-04:00", "title": "Fire Observations - As the World Turns", "description": "From space, we can understand fires in ways that are impossible from the ground. NASA research has contributed to much improved detection of fire for scientific purposes using satellite remote sensing and geographic information systems. This has helped advance our understanding of the impacts of fire in many areas of earth science, including atmospheric chemistry and the impacts on protected areas. This research has led to the development of a rapid response system widely used throughout the world for both natural resource management and for firefighting by providing near real-time information. In this animation of fires around the globe in 2007, each red dot marks a new fire. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/ || ", "hits": 12 }, { "id": 10386, "url": "https://svs.gsfc.nasa.gov/10386/", "result_type": "Produced Video", "release_date": "2009-02-19T00:00:00-05:00", "title": "Sources of Aerosols", "description": "Aerosols can occur in nature, but they can also originate from human activity. These animations provide an introduction to four of the varied sources of atmospheric aerosols: cities, forest fires, the ocean, and deserts. || ", "hits": 40 }, { "id": 3116, "url": "https://svs.gsfc.nasa.gov/3116/", "result_type": "Visualization", "release_date": "2005-03-02T12:00:00-05:00", "title": "Mount St. Helens Before, During, and After (WMS)", "description": "Mount St. Helens erupted on May 18, 1980, devastating more than 150 square miles of forest in southwestern Washington state. This animation shows Landsat images of the Mount St. Helens area in 1973, 1983, and 2000, illustrating the destruction and regrowth of the forest. The 1983 image clearly shows the new crater on the northern slope where the eruption occurred, the rivers and lakes covered with ash, and the regions of deforestation. The 2000 image, taken twenty years after the eruption, still shows the changed crater, but much of the devastated area is covered by new vegetation growth. || ", "hits": 188 }, { "id": 3113, "url": "https://svs.gsfc.nasa.gov/3113/", "result_type": "Visualization", "release_date": "2005-02-17T12:00:00-05:00", "title": "Rondonia Deforestation (WMS)", "description": "A animation of deforestation in Rondonia from 1975 through 2001 from Landsat imageryThis product is available through our Web Map Service. || rondonia.0002.png (1024x1024) [1.7 MB] || hw_a003113.png (640x27) [13.4 KB] || rondonia_pre.jpg (320x160) [12.1 KB] || rondonia_thm.png (80x40) [6.1 KB] || rondonia_pre_searchweb.jpg (320x180) [21.6 KB] || 1024x1024 (1024x1024) [0 Item(s)] || rondonia.webmhd.webm (960x540) [282.8 KB] || rondonia.mp4 (720x720) [606.2 KB] || rondonia.mpg (320x320) [737.0 KB] || ", "hits": 38 }, { "id": 2972, "url": "https://svs.gsfc.nasa.gov/2972/", "result_type": "Visualization", "release_date": "2004-08-19T12:00:00-04:00", "title": "Fires Ravage Parts of Alaska and Canada", "description": "Alaska and Canada both suffered multi-fire damage. On June 29, 2004, these smoke plumes were detected from space by the Aqua satellite. || ", "hits": 14 }, { "id": 2943, "url": "https://svs.gsfc.nasa.gov/2943/", "result_type": "Visualization", "release_date": "2004-05-17T12:00:00-04:00", "title": "Canadian Smoke Invades the East Coast", "description": "Smoke from multiple large wildfires in Canada blanketed the Great Lakes and eastern United States. The enormous smoke plume was almost 200 miles wide. The thick pall affected air quality from New York, to Baltimore, and Washington, D.C. and blocked the sunlight cooling the East Coast. The first image was taken by the Moderate Resolution Imaging Spectroradiometer (MODIS) on the Terra satellite on July 7, 2002. The second image comes from NASA's Total Ozone Mapping Spectrometer (TOMS) on the Earth Probe Satellite. || ", "hits": 25 }, { "id": 2937, "url": "https://svs.gsfc.nasa.gov/2937/", "result_type": "Visualization", "release_date": "2004-05-13T12:00:00-04:00", "title": "NDVI Anomalies Show Areas of Likely Drought in the Western US (wide view)", "description": "Satellite data can gauge the health of plants, which is a good indicator of drought. Satellite imagery shows changes in vegetation between 1999 and 2003. The Normalized Difference Vegetation Index (NDVI) measures how dense and green plant leaves are, which suggests overall vegetative health. The NDVI images are also useful as a measure of drought when compared to 'normal' plant health. NASA scientists calculate average NDVI values for an area to find out what is normal at a particular time of year. This data was measured by the vegetation instrument on Europe's SPOT satellite provided by DigitalGlobe/SPOT, under agreement with the U.S. Department of Agriculture Foreign Agricultural Service (USDA/FAS). In 2002, drought had settled across the Midwest. Large dark brown sections of eastern Colorado show where vegetation was less lush and healthy than normal. This version of the visualization is a wide view showing the western United States. || ", "hits": 75 }, { "id": 2938, "url": "https://svs.gsfc.nasa.gov/2938/", "result_type": "Visualization", "release_date": "2004-05-13T12:00:00-04:00", "title": "NDVI Anomalies Show Areas of Likely Drought in the Western US (Southwest view)", "description": "Satellite data can gauge the health of plants, which is a good indicator of drought. Satellite imagery shows changes in vegetation between 1999 and 2003. The Normalized Difference Vegetation Index (NDVI) measures how dense and green plant leaves are, which suggests overall vegetative health. The NDVI images are also useful as a measure of drought when compared to 'normal' plant health. NASA scientists calculate average NDVI values for an area to find out what is normal at a particular time of year. This data was measured by the vegetation instrument on Europe's SPOT satellite provided by DigitalGlobe/SPOT, under agreement with the U.S. Department of Agriculture Foreign Agricultural Service (USDA/FAS).In 2002, drought had settled across the Midwest. Large dark brown sections of eastern Colorado show where vegetation was less lush and healthy than normal.This version of the visualization focuses on the southwestern United States. || ", "hits": 54 }, { "id": 2939, "url": "https://svs.gsfc.nasa.gov/2939/", "result_type": "Visualization", "release_date": "2004-05-13T12:00:00-04:00", "title": "NDVI Anomalies Show Areas of Likely Drought in the Western US (Colorado view)", "description": "Satellite data can gauge the health of plants, which is a good indicator of drought.Satellite imagery shows changes in vegetation between 1999 and 2003.The Normalized Difference Vegetation Index (NDVI) measures how dense and green plant leaves are, which suggests overall vegetative health.The NDVI images are also useful as a measure of drought when compared to 'normal' plant health. NASA scientists calculate average NDVI values for an area to find out what is normal at a particular time of year. This data was measured by the vegetation instrument on Europe's SPOT satellite provided by DigitalGlobe/SPOT, under agreement with the U.S. Department of Agriculture Foreign Agricultural Service (USDA/FAS).In 2002, drought had settled across the Midwest. Large dark brown sections of eastern Colorado show where vegetation was less lush and healthy than normal.This version of the visualization focuses on Colorado. || ", "hits": 35 }, { "id": 2890, "url": "https://svs.gsfc.nasa.gov/2890/", "result_type": "Visualization", "release_date": "2004-02-10T12:00:00-05:00", "title": "African Fires During 2002 (WMS)", "description": "This animation shows fire activity in Africa from January 1, 2002 to December 31, 2002. The fires are shown as tiny particles with each particle depicting the geographic region in which fire was detected. The color of a particle represents the number of days since a sizable amount of fire was detected in that region, with red representing less than 20 days, orange representing 20 to 40 days, yellow representing 40 to 60 days, and gray to black representing more than 60 days. This data was measured by the MODIS instrument on the Terra satellite. MODIS detects fires by measuring the brightness temperature of a region in several frequency bands and looking for hot spots where this temperature is greater than the surrounding region. || ", "hits": 13 }, { "id": 2853, "url": "https://svs.gsfc.nasa.gov/2853/", "result_type": "Visualization", "release_date": "2004-01-31T12:00:00-05:00", "title": "Multisensor Fire Observations with Labels (HD Version)", "description": "From space, we can understand fires in ways that are impossible from the ground. New Earth-observing satellites capture the significant impact of fires on our planet. In this animation of fires around the globe in 2002, each red dot marks a new fire. Dots change color to yellow after a few days and to black when fires burn out. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. In the summer and fall burning seasons, particularly destructive fires occurred in Colorado, Arizona, and Oregon. This version of the visualization displays descriptive text labels and color bars. There is a standard definition version available as well. || ", "hits": 29 }, { "id": 2854, "url": "https://svs.gsfc.nasa.gov/2854/", "result_type": "Visualization", "release_date": "2004-01-31T12:00:00-05:00", "title": "Multisensor Fire Observations without Labels (HD Version)", "description": "From space, we can understand fires in ways that are impossible from the ground. New Earth-observing satellites capture the significant impact of fires on our planet. In this animation of fires around the globe in 2002, each red dot marks a new fire. Dots change color to yellow after a few days and to black when fires burn out. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. In the summer and fall burning seasons, particularly destructive fires occurred in Colorado, Arizona, and Oregon. This version of the animation displays a minimal set of labels. For a closed captioned version of this animation, see the standard definition version at animation ID 2806. || ", "hits": 21 }, { "id": 2707, "url": "https://svs.gsfc.nasa.gov/2707/", "result_type": "Visualization", "release_date": "2003-11-03T12:00:00-05:00", "title": "Multisensor Fire Observations", "description": "From space, we can understand fires in ways that are impossible from the ground. New Earth-observing satellites capture the significant impact of fires on our planet. In this animation of fires around the globe in 2002, each red dot marks a new fire. Dots change color to yellow after a few days and to black when fires burn out. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. In the summer and fall burning seasons, particularly destructive fires occurred in Colorado, Arizona, and Oregon. || ", "hits": 29 }, { "id": 2806, "url": "https://svs.gsfc.nasa.gov/2806/", "result_type": "Visualization", "release_date": "2003-11-03T12:00:00-05:00", "title": "Multisensor Fire Observations without Labels", "description": "From space, we can understand fires in ways that are impossible from the ground. New Earth-observing satellites capture the significant impact of fires on our planet. In this animation of fires around the globe in 2002, each red dot marks a new fire. Dots change color to yellow after a few days and to black when fires burn out. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. In the summer and fall burning seasons, particularly destructive fires occurred in Colorado, Arizona, and Oregon. This animation of remote sensing observations of fires and other related data was chosen as part of the SIGGRAPH 2003 Computer Animation Theater. (The only difference was that the SIGGRAPH version had shorter credits.) || ", "hits": 19 }, { "id": 2846, "url": "https://svs.gsfc.nasa.gov/2846/", "result_type": "Visualization", "release_date": "2003-10-29T12:00:00-05:00", "title": "California Fires with Fire Pixels", "description": "This visualization shows the Southern California Fires. || ", "hits": 13 }, { "id": 2847, "url": "https://svs.gsfc.nasa.gov/2847/", "result_type": "Visualization", "release_date": "2003-10-29T12:00:00-05:00", "title": "California Fires without Fire Pixels", "description": "This Visualization shows the Southern California Fires. || ", "hits": 13 }, { "id": 2844, "url": "https://svs.gsfc.nasa.gov/2844/", "result_type": "Visualization", "release_date": "2003-10-28T12:00:00-05:00", "title": "Southern California Fires, October 27, 2003", "description": "This visualization shows the Southern California and Mexican fires as seen by Aqua/MODIS on October 27, 2003. || ", "hits": 12 }, { "id": 2845, "url": "https://svs.gsfc.nasa.gov/2845/", "result_type": "Visualization", "release_date": "2003-10-28T12:00:00-05:00", "title": "Southern California Fires, October 27, 2003 (Fire Pixels Included)", "description": "This visualization shows the Southern California and Mexican fires as seen by Aqua/MODIS on October 27, 2003. This version included red fire pixels to display each incident fire. || ", "hits": 15 }, { "id": 2842, "url": "https://svs.gsfc.nasa.gov/2842/", "result_type": "Visualization", "release_date": "2003-10-27T12:00:00-05:00", "title": "Southern California Fires, Oct 26, 2003", "description": "Several massive wildfires were raging across southern California over the weekend of October 25, 2003. Whipped by the hot, dry Santa Ana winds that blow toward the coast from interior deserts, at least one fire grew 10,000 acres in just 6 hours. Moving northwest to southeast along the coast, the first cluster of red dots is a combination of the Piru, Verdale, and the Simi Incident Fires; The next cluster-to the east of Los Angeles-is the Grand Prix (west) and Old (east) Fires; To their south is the Roblar 2 Fire; Next is the Paradise Fire; Then the massive Cedar Fire, whose thick smoke is completely overshadowing the coastal city of San Diego; Finally, at the California-Mexico border is the Otay Fire. At least 13 people have lost their lives because of these fires, which officials are reporting were caused by carelessness and arson. Thousands have been evacuated across the region and hundreds of homes have been lost. || ", "hits": 28 }, { "id": 2843, "url": "https://svs.gsfc.nasa.gov/2843/", "result_type": "Visualization", "release_date": "2003-10-27T12:00:00-05:00", "title": "Southern California Fires, Oct 26, 2003 (Western View of Smoke)", "description": "Several massive wildfires were raging across southern California over the weekend of October 25, 2003. Whipped by the hot, dry Santa Ana winds that blow toward the coast from interior deserts, at least one fire grew 10,000 acres in just six hours. Moving northwest to southeast along the coast, the first cluster of red dots is a combination of the Piru, Verdale, and Simi Incident Fires. The next cluster, to the east of Los Angeles, is the Grand Prix (west) and Old (east) Fires. To their south is the Roblar 2 Fire; next is the Paradise Fire; then the massive Cedar Fire, whose thick smoke is completely overshadowing the coastal city of San Diego; finally at the California-Mexico border is the Otay Fire. At least 13 people have lost their lives because of these fires, which officials are reporting were caused by carelessness and arson. Thousands have been evacuated across the region and hundreds of homes have been lost. || ", "hits": 44 }, { "id": 2790, "url": "https://svs.gsfc.nasa.gov/2790/", "result_type": "Visualization", "release_date": "2003-08-04T12:00:00-04:00", "title": "Time Series of the Biscuit Fire", "description": "This animation contains a time series of print resolution still images showing the progression of the Biscuit fire in Oregon during 2002. Fire locations are represented as particles that change color as the fire ages. The Biscuit fire burned 500,000 acres of forest in Oregon and Northern California during the summer and fall of 2002. || ", "hits": 82 }, { "id": 2791, "url": "https://svs.gsfc.nasa.gov/2791/", "result_type": "Visualization", "release_date": "2003-08-04T12:00:00-04:00", "title": "Time Series of the Biscuit Fire with Smoke", "description": "This animation contains a time series of print resolution still images showing the progression of the Biscuit fire with smoke plumes in Oregon during 2002. Fire locations are represented as particles that change color as the fire ages. The Biscuit fire burned 500,000 acres of forest in Oregon and Northern California during the summer and fall of 2002. || ", "hits": 14 }, { "id": 2788, "url": "https://svs.gsfc.nasa.gov/2788/", "result_type": "Visualization", "release_date": "2003-07-30T12:00:00-04:00", "title": "Montana and Alberta (Canada) fires - July 29, 2003", "description": "Push-in to the fires in Montana (US) and Alberta (Canada). || ", "hits": 11 }, { "id": 2789, "url": "https://svs.gsfc.nasa.gov/2789/", "result_type": "Visualization", "release_date": "2003-07-30T12:00:00-04:00", "title": "Washington Fawn Peak Complex Fire - July 29, 2003", "description": "Push-in to the Fawn Peak Complex fire in Washington. || ", "hits": 9 }, { "id": 2786, "url": "https://svs.gsfc.nasa.gov/2786/", "result_type": "Visualization", "release_date": "2003-07-29T12:00:00-04:00", "title": "Fires in the Northwest - July 28, 2003", "description": "A view of the fires in Glacier National Park from Aqua/MODIS. || ", "hits": 10 }, { "id": 2787, "url": "https://svs.gsfc.nasa.gov/2787/", "result_type": "Visualization", "release_date": "2003-07-29T12:00:00-04:00", "title": "Fires in the Northwest (Fire Pixels) - July 28, 2003", "description": "A view of the fires in Glacier National Park from Aqua/MODIS. || ", "hits": 15 }, { "id": 2772, "url": "https://svs.gsfc.nasa.gov/2772/", "result_type": "Visualization", "release_date": "2003-07-03T12:00:00-04:00", "title": "Zoom to the Aspen Fire, Arizona on June 19, 2003", "description": "Twenty miles north of Tucson, Arizona, the Aspen Fire rages through the Coronado National Forest. This animation zooms into the Aspen Fire showing the extent of the smoke plume on June 19, 2003. || ", "hits": 12 }, { "id": 2773, "url": "https://svs.gsfc.nasa.gov/2773/", "result_type": "Visualization", "release_date": "2003-07-03T12:00:00-04:00", "title": "A Time Series of the Aspen, Arizona Fire from June 19 - 24, 2003 (Offset View)", "description": "Twenty miles north of Tucson, Arizona, the Aspen Fire rages through the Coronado National Forest. This time series shows the growth of the Aspen fire over the weekend of June 19-24, 2003. The view is offset to show the extent of the smoke plumes. || ", "hits": 13 }, { "id": 2774, "url": "https://svs.gsfc.nasa.gov/2774/", "result_type": "Visualization", "release_date": "2003-07-03T12:00:00-04:00", "title": "A Time Series of the Aspen Fire North of Tucson, Arizona from June 19 - 24, 2003", "description": "Twenty miles north of Tucson, Arizona, the Aspen Fire rages through the Coronado National Forest. This time series shows the growth of the Aspen fire over the weekend of June 19-24, 2003. || ", "hits": 5 }, { "id": 2775, "url": "https://svs.gsfc.nasa.gov/2775/", "result_type": "Visualization", "release_date": "2003-07-03T12:00:00-04:00", "title": "Zoom to the Aspen Fire, Arizona on June 24, 2003", "description": "Twenty miles north of Tucson, Arizona, the Aspen Fire rages through the Coronado National Forest. This animation zooms into the Aspen fire showing the smoke plume on June 24, 2003. || ", "hits": 8 }, { "id": 2776, "url": "https://svs.gsfc.nasa.gov/2776/", "result_type": "Visualization", "release_date": "2003-07-03T12:00:00-04:00", "title": "Aspen Fire, Arizona", "description": "Images from NASA's Terra and Aqua satellites have become a regular part of the National Interagency Fire Center's firefighting toolkit. The images help the center track fires on a daily basis and are used in allocating precious firefighting resources. || ", "hits": 9 }, { "id": 2638, "url": "https://svs.gsfc.nasa.gov/2638/", "result_type": "Visualization", "release_date": "2002-10-24T12:00:00-04:00", "title": "Fires over Central America during 2001 and 2002", "description": "This animation shows fire activity over North America from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 8 }, { "id": 2639, "url": "https://svs.gsfc.nasa.gov/2639/", "result_type": "Visualization", "release_date": "2002-10-24T12:00:00-04:00", "title": "Fires over Central America during 2001 and 2002 with Clock", "description": "This animation shows fire activity over Central America from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. A clock inset indicates the date. || ", "hits": 10 }, { "id": 2522, "url": "https://svs.gsfc.nasa.gov/2522/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Global Revolution of Fires During 2001 and 2002", "description": "This animation shows a unique picture of annual fire activity. Here, global fire activity between 8/21/2001 and 8/20/2002 is displayed as tiny particles on a rotating globe with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 18 }, { "id": 2524, "url": "https://svs.gsfc.nasa.gov/2524/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "A Portrait of Global Fires during 2001 and 2002", "description": "This animation shows a unique picture of seasonal fire activity. Here, global fire activity is displayed as tiny particles on a rotating globe with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 10 }, { "id": 2525, "url": "https://svs.gsfc.nasa.gov/2525/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "A Portrait of Global Fires during 2001 and 2002 with Clock", "description": "This animation shows a unique picture of seasonal fire activity. Here, global fire activity is displayed as tiny particles on a rotating globe with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. A clock overlay shows the date. || ", "hits": 9 }, { "id": 2526, "url": "https://svs.gsfc.nasa.gov/2526/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Annual Portrait of Global Fires during 2001 and 2002 on a Flat Map", "description": "This animation shows a unique picture of seasonal and yearly fire activity. Here, global fire activity is displayed as tiny particles on a flat map with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 17 }, { "id": 2527, "url": "https://svs.gsfc.nasa.gov/2527/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Annual Portrait of Global Fires during 2001 and 2002 on a Flat Map with Clock", "description": "This animation shows a unique picture of seasonal and yearly fire activity. Here, global fire activity is displayed as tiny particles on a flat map with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. A clock inset shows the date. || ", "hits": 13 }, { "id": 2528, "url": "https://svs.gsfc.nasa.gov/2528/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over the Western US during 2002 with Zoom", "description": "This animation shows the camera pulling out from the Southwestern US while fire activity during the summer of 2002 is displayed. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 5 days per second. The particles fade over 3.4 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 13 }, { "id": 2529, "url": "https://svs.gsfc.nasa.gov/2529/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over the Western US during 2002 with Zoom and Clock", "description": "This animation shows the camera pulling out from the Southwestern US while fire activity during the summer of 2002 is displayed. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 5 days per second. The particles fade over 3.4 seconds and change color as they age from red to orange, yellow and gray. A clock inset indicates the date. || ", "hits": 12 }, { "id": 2530, "url": "https://svs.gsfc.nasa.gov/2530/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over the Western US during 2002 with Still Camera", "description": "This animation shows fire activity over the Western US during the summer of 2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 5 days per second. The particles fade over 3.4 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 4 }, { "id": 2531, "url": "https://svs.gsfc.nasa.gov/2531/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over the Western US during 2002 with Still Camera and Clock", "description": "This animation shows fire activity over the Western US during the summer of 2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 5 days per second. The particles fade over 3.4 seconds and change color as they age from red to orange, yellow and gray. A clock inset indicates the date. || ", "hits": 6 }, { "id": 2532, "url": "https://svs.gsfc.nasa.gov/2532/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over the United States during the Summer of 2002", "description": "This animation shows fire activity over the United States from 5/1/2002 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 15 days per second. The particles fade over 1.13 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 9 }, { "id": 2533, "url": "https://svs.gsfc.nasa.gov/2533/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over the United States during the Summer of 2002 with Clock", "description": "This animation shows fire activity over the United States from 5/1/2002 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 15 days per second. The particles fade over 1.13 seconds and change color as they age from red to orange, yellow and gray. A clock inset shows the date. || ", "hits": 7 }, { "id": 2534, "url": "https://svs.gsfc.nasa.gov/2534/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over North America during 2001 and 2002 ", "description": "This animation shows fire activity over North America from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 10 }, { "id": 2535, "url": "https://svs.gsfc.nasa.gov/2535/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over North America during 2001 and 2002 with Clock", "description": "This animation shows fire activity over North America from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. A clock inset indicates the date. || ", "hits": 14 }, { "id": 2536, "url": "https://svs.gsfc.nasa.gov/2536/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over South America during 2001 and 2002", "description": "This animation shows fire activity over South America from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 5 }, { "id": 2537, "url": "https://svs.gsfc.nasa.gov/2537/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over South America during 2001 and 2002 with Clock", "description": "This animation shows fire activity over South America from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. A clock inset indicates the date. || ", "hits": 9 }, { "id": 2538, "url": "https://svs.gsfc.nasa.gov/2538/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over Europe during 2001 and 2002", "description": "This animation shows fire activity over Europe from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 6 }, { "id": 2539, "url": "https://svs.gsfc.nasa.gov/2539/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over Europe during 2001 and 2002 with Clock", "description": "This animation shows fire activity over Europe from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. A clock inset indicates the date. || ", "hits": 10 }, { "id": 2540, "url": "https://svs.gsfc.nasa.gov/2540/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over Asia during 2001 and 2002", "description": "This animation shows fire activity over Asia from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 9 }, { "id": 2541, "url": "https://svs.gsfc.nasa.gov/2541/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over Asia during 2001 and 2002 with Clock", "description": "This animation shows fire activity over Asia from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. A clock inset indicates the date. || ", "hits": 9 }, { "id": 2542, "url": "https://svs.gsfc.nasa.gov/2542/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over Africa during 2001 and 2002", "description": "This animation shows fire activity over Africa from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 8 }, { "id": 2543, "url": "https://svs.gsfc.nasa.gov/2543/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over Africa during 2001 and 2002 with Clock", "description": "This animation shows fire activity over Africa from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. A clock inset indicates the date. || ", "hits": 8 }, { "id": 2544, "url": "https://svs.gsfc.nasa.gov/2544/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over Australia during 2001 and 2002", "description": "This animation shows fire activity over Australia from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. || ", "hits": 8 }, { "id": 2545, "url": "https://svs.gsfc.nasa.gov/2545/", "result_type": "Visualization", "release_date": "2002-09-05T12:00:00-04:00", "title": "Fires over Australia during 2001 and 2002 with Clock", "description": "This animation shows fire activity over Australia from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and gray. A clock inset indicates the date. || ", "hits": 10 } ] }