{ "count": 24, "next": null, "previous": null, "results": [ { "id": 14198, "url": "https://svs.gsfc.nasa.gov/14198/", "result_type": "Produced Video", "release_date": "2022-08-11T10:00:00-04:00", "title": "Listening to the Amazon: Tracking Deforestation Through Sound", "description": "Complete transcript available. || Thumbnail_print.jpg (1024x574) [240.6 KB] || Thumbnail.png (2858x1604) [7.8 MB] || Thumbnail_searchweb.png (320x180) [150.3 KB] || Thumbnail_web.png (320x179) [150.3 KB] || Thumbnail_thm.png (80x40) [12.4 KB] || Sounds_of_the_Amazon_Final.webm (1920x1080) [28.0 MB] || Sounds_of_the_Amazon_Final.mp4 (1920x1080) [353.5 MB] || Transcript_otter_ai.en_US.srt [2.6 KB] || Transcript_otter_ai.en_US.vtt [2.6 KB] || ", "hits": 120 }, { "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": 53 }, { "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": 43 }, { "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": 46 }, { "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": 46 }, { "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": 42 }, { "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": 31 }, { "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": 27 }, { "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": 89 }, { "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": 341 }, { "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": 32 }, { "id": 12982, "url": "https://svs.gsfc.nasa.gov/12982/", "result_type": "Produced Video", "release_date": "2018-06-12T11:00:00-04:00", "title": "Amazon Canopy Comes to Life through Laser Data", "description": "Flying over the Brazilian Amazon with an instrument firing 300,000 laser pulses per second, NASA scientists have made the first 3D measurements of forest canopies in the region. With this research they hope to shed light on the effects of prolonged drought on forest ecosystems and to provide a potential preview of stresses on rainforests in a warming world.Complete transcript available. || Amazon_lidar_2018_final.00150_print.jpg (1024x576) [36.8 KB] || Amazon_lidar_2018_final.00150_searchweb.png (180x320) [21.4 KB] || Amazon_lidar_2018_final.00150_web.png (320x180) [21.4 KB] || Amazon_lidar_2018_final.00150_thm.png (80x40) [2.0 KB] || Amazon_lidar_2018_prores.mov (1920x1280) [4.5 GB] || Amazon_lidar_2018_final.mp4 (1920x1080) [705.9 MB] || Amazon_lidar_2018_final.webm (1920x1080) [17.2 MB] || 12982.AmazonLidar2018.cc.en_US.vtt [2.5 KB] || 12982.AmazonLidar2018.cc.en_US.srt [2.4 KB] || ", "hits": 79 }, { "id": 11785, "url": "https://svs.gsfc.nasa.gov/11785/", "result_type": "Produced Video", "release_date": "2015-02-24T13:00:00-05:00", "title": "NASA On Air: NASA Satellite Reveals How Much Dust Feeds Amazon’s Plants (2/24/2015)", "description": "LEAD: NASA scientists have made the first multi-year satellite-based estimate of how much Saharan dust in Africa floats all the way to South America’s Amazon rainforest.1. An estimated 28 million tons of African dust falls on the Amazon rainforest – more than 100,000 semi-truck loads.2. A small but very important ingredient in the dust is the phosphorus from an ancient dusty lake bed in Chad.3. The African phosphorus plays a critical role as a natural fertilizer for the Amazon rainforest growth.TAG: This dust transport is the largest on the planet. Satellite studies will also help determine its relationship to climate changes. || WC_Dust-1920-MASTER_iPad_1920x0180_print.jpg (1024x576) [105.3 KB] || WC_Dust-1920-MASTER_iPad_1920x0180_searchweb.png (320x180) [75.0 KB] || WC_Dust-1920-MASTER_iPad_1920x0180_web.png (320x180) [75.0 KB] || WC_Dust-1920-MASTER_iPad_1920x0180_thm.png (80x40) [5.5 KB] || WC_Dust-1920-MASTER_WEA_CEN.wmv (1280x720) [16.3 MB] || DUST_WC3.avi (1280x720) [16.9 MB] || WC_Dust-1920-MASTER_baron.mp4 (1920x1080) [20.9 MB] || WC_Dust-1920-MASTER_iPad_1920x0180.webm (1920x1080) [2.9 MB] || WC_Dust-1920-MASTER_iPad_960x540.m4v (960x540) [111.7 MB] || WC_Dust-1920-MASTER_iPad_1280x720.m4v (1280x720) [173.6 MB] || WC_Dust-1920-MASTER_NBC_Today.mov (1920x1080) [405.3 MB] || WC_Dust-1920-MASTER_prores.mov (1920x1080) [434.1 MB] || WC_Dust-1920-MASTER_iPad_1920x0180.m4v (1920x1080) [405.3 MB] || WC_Dust-1920-MASTER_1920x1080.mov (1920x1080) [669.5 MB] || WC_Dust-1920-MASTER_1280x720.mov (1280x720) [769.1 MB] || ", "hits": 113 }, { "id": 11775, "url": "https://svs.gsfc.nasa.gov/11775/", "result_type": "Produced Video", "release_date": "2015-02-24T10:00:00-05:00", "title": "Satellite Tracks Saharan Dust To Amazon In 3-D", "description": "For the first time, a NASA satellite has quantified in three dimensions how much dust makes the trans-Atlantic journey from the Sahara Desert to the Amazon rainforest. Among this dust is phosphorus, an essential nutrient that acts like a fertilizer, which the Amazon depends on in order to flourish.The new dust transport estimates were derived from data collected by a lidar instrument on NASA's Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation, or CALIPSO, satellite from 2007 though 2013.An average of 27.7 million tons of dust per year – enough to fill 104,908 semi trucks – fall to the surface over the Amazon basin. The phosphorus portion, an estimated 22,000 tons per year, is about the same amount as that lost from rain and flooding. The finding is part of a bigger research effort to understand the role of dust and aerosols in the environment and on local and global climate.Research: The fertilizing role of African dust in the Amazon rainforest: A first multiyear assessment based on data from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite ObservationsJournal: Geophysical Research LettersLink to paper: http://onlinelibrary.wiley.com/doi/10.1002/2015GL063040/fullHere is the YouTube video. || ", "hits": 315 }, { "id": 10872, "url": "https://svs.gsfc.nasa.gov/10872/", "result_type": "Produced Video", "release_date": "2011-11-14T13:00:00-05:00", "title": "Amazon Deforestation in Rondonia, Brazil, 2000-2010", "description": "The state of Rondonia in western Brazil is observed by satellite. This timelapse of MODIS images shows the reduction of the forest from 2000-2010.Deforestation follows a fairly predictable pattern in these images. The first clearings that appear in the forest are in a fishbone pattern, arrayed along the edges of roads. Over time, the fishbones collapse into a mixture of forest remnants, cleared areas, and settlements. This pattern follows one of the most common deforestation trajectories in the Amazon. Legal and illegal roads penetrate a remote part of the forest, and small farmers migrate to the area. They claim land along the road and clear some of it for crops. Within a few years, heavy rains and erosion deplete the soil, and crop yields fall. Farmers then convert the degraded land to cattle pasture, and clear more forest for crops. Eventually the small land holders, having cleared much of their land, sell it or abandon it to large cattle holders, who consolidate the plots into large areas of pasture. || ", "hits": 150 }, { "id": 3671, "url": "https://svs.gsfc.nasa.gov/3671/", "result_type": "Visualization", "release_date": "2010-01-14T12:00:00-05:00", "title": "Amazon Basin Monthly GRACE Data", "description": "This visualization displays monthly GRACE data in the Amazon basin. GRACE (Gravity Recovery and Climate Experiment) measures mass distribution and in this instance is used to demonstrate water storage and movement in the basin. Warmer colors like red and yellow reveal areas with greater mass, or more water, while cooler colors like blue and green indicate areas with lesser mass, or less water. || ", "hits": 50 }, { "id": 2405, "url": "https://svs.gsfc.nasa.gov/2405/", "result_type": "Visualization", "release_date": "2002-03-14T12:00:00-05:00", "title": "Mapping the Amazon: Mosaic tiles animation", "description": "A satellite can cover the Amazon in just two months. The mapping team chose a Japanese satellite outfitted with synthetic aperture radar, or SAR for short. SAR is a natural fit for the Amazon. It can penetrate the clouds that pour rain for half of the year and the smoke from trees burned by farmers to clear land. SAR even works at night. As you might imagine, the satellite collects a pile of data. In raw form, these observations are gibberish. Focusing them requires a supercomputer to crunch fifteen hundred trillion calculations. The output is rich images of the Amazon. Scientists listed worked as a team on Mosaicking Software and Mosaic Production. || ", "hits": 16 }, { "id": 2406, "url": "https://svs.gsfc.nasa.gov/2406/", "result_type": "Visualization", "release_date": "2002-03-14T12:00:00-05:00", "title": "Mapping the Amazon: Mosaic Pan", "description": "Pan across Amazon rainforest mosaic showing low water season (blue) and high water season (yellow). Together, these snapshots reveal conditions on the ground. Scientists listed worked as a team on Mosaicking Software and Mosaic Production. || ", "hits": 16 }, { "id": 2407, "url": "https://svs.gsfc.nasa.gov/2407/", "result_type": "Visualization", "release_date": "2002-03-14T12:00:00-05:00", "title": "Mapping the Amazon: The Mouth of the Amazon", "description": "The Amazon rain forest is the largest tropical forest in the world. It stretches across South America from nearly ocean to ocean. No seasonal view of this territory existed until a NASA-university collaboration began mapping the Amazon - from space. Scientists listed worked as a team on Mosaicking Software and Mosaic Production. || ", "hits": 45 }, { "id": 2408, "url": "https://svs.gsfc.nasa.gov/2408/", "result_type": "Visualization", "release_date": "2002-03-14T12:00:00-05:00", "title": "Mapping the Amazon: Manaus", "description": "The largest city along the Amazon River is Manaus.NASA's mosaic says that thirty percent of the surrounding area is wetlands. Scientists listed worked as a team on Mosaicking Software and Mosaic Production. || Mosaic zoom to Manaus || a002408.00010_print.png (720x480) [460.6 KB] || a002408_pre.jpg (320x238) [8.6 KB] || a002408.webmhd.webm (960x540) [1.7 MB] || a002408.dv (720x480) [26.1 MB] || a002408.mp4 (640x480) [1.4 MB] || a002408.mpg (352x240) [625.0 KB] || ", "hits": 21 }, { "id": 2409, "url": "https://svs.gsfc.nasa.gov/2409/", "result_type": "Visualization", "release_date": "2002-03-14T12:00:00-05:00", "title": "Mapping the Amazon: Deforestation", "description": "One feature that appears in this mosaic of images showing the Amazon River is tree-clearing that happened between two seasons. Scientists listed worked as a team on Mosaicking Software and Mosaic Production. || Viewing two seperate seasons of tree clearing || a002409.00065_print.png (720x480) [462.2 KB] || a002409_pre.jpg (320x238) [8.7 KB] || a002409.webmhd.webm (960x540) [1.6 MB] || a002409.dv (720x480) [24.5 MB] || a002409.mp4 (640x480) [1.3 MB] || a002409.mpg (352x240) [586.0 KB] || ", "hits": 17 }, { "id": 2388, "url": "https://svs.gsfc.nasa.gov/2388/", "result_type": "Visualization", "release_date": "2002-02-18T12:00:00-05:00", "title": "Wonderglobe: Brazil", "description": "Zoom in to Brazil following the Amazon River. Data set is the Wonderglobe data composited via Terra/MODIS data. || Animation zooming into Brazil || a002388.00100_print.png (720x480) [239.0 KB] || brazil_thm.png (80x40) [4.2 KB] || brazil_pre.jpg (320x238) [5.8 KB] || brazil_pre_searchweb.jpg (320x180) [43.5 KB] || a002388.webmhd.webm (960x540) [5.6 MB] || a002388.dv (720x480) [157.8 MB] || brazil.mpg (352x240) [6.8 MB] || ", "hits": 32 }, { "id": 2078, "url": "https://svs.gsfc.nasa.gov/2078/", "result_type": "Visualization", "release_date": "2001-03-12T12:00:00-05:00", "title": "SeaWiFS: The Effect of the Amazon on the Atlantic", "description": "By monitoring the color of reflected light via satellite, scientists can determine how successfully plant life is photosynthesizing. A measurement of photosynthesis is essentially a measurement of successful growth, and growth means successful use of ambient carbon.Until now, scientists have only had a continuous record of photosynthesis on land. But following three years of continual data collected by the SeaWiFS instrument, NASA has gathered the first record of photosynthetic productivity in the oceans. By taking three years of continuous data as a whole, experts have been able to map trends and anomalies in the global circulation of carbon to a degree of detail than has never been done before. It is a baseline measurement to by which all future measurements will be compared. || ", "hits": 20 }, { "id": 67, "url": "https://svs.gsfc.nasa.gov/67/", "result_type": "Visualization", "release_date": "1994-03-13T12:00:00-05:00", "title": "Amazon Deforestation Model", "description": "This series of animations depicts the results of a computer simulation of the effects of deforestation on the surface temperature and precipitation in the Amazon region. Six animations are shown - a control simulation, a deforestation simulation, and the difference between the two for both surface temperature and rainfall. The period simulated is the second half of 1987. || ", "hits": 47 } ] }