{ "count": 52, "next": null, "previous": null, "results": [ { "id": 31341, "url": "https://svs.gsfc.nasa.gov/31341/", "result_type": "Visualization", "release_date": "2025-04-11T10:30:00-04:00", "title": "2020 Iowa Derecho", "description": "NASA satellites imaged the after effects of an August 2020 derecho on Iowa crops.", "hits": 130 }, { "id": 31267, "url": "https://svs.gsfc.nasa.gov/31267/", "result_type": "Hyperwall Visual", "release_date": "2023-11-28T00:00:00-05:00", "title": "Landsat and Sentinel NDVI, 2022", "description": "The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming to produce a seamless surface reflectance record from the Operational Land Imager (OLI) and Multi-Spectral Instrument (MSI) aboard Landsat-8/9 and Sentinel-2A/B remote sensing satellites, respectively. These animations show a year's worth of HLS data near Columbus, Nebraska from 2022. One animation includes the cloudy scenes and the other has cloud-free or mostly cloud-free scenes. ||", "hits": 186 }, { "id": 4915, "url": "https://svs.gsfc.nasa.gov/4915/", "result_type": "Visualization", "release_date": "2021-08-09T00:00:00-04:00", "title": "A Global view of Normalized Difference Vegetation Index (NDVI) Anomaly in crop-growing regions from 2000 to 2021", "description": "This visualization shows the NDVI anomaly from the year 2000 to 2021 in areas where maize, rice, soybeans, spring wheat or winter wheat are grown. Green colors indicate more than average vegetatation while orange colors indicate less productive areas.Coming soon to our YouTube channel. || NDVI_anomaly_2000-2021.11770.png (1920x1080) [897.2 KB] || NDVI_anomaly_2000-2021.11770_print.jpg (1024x576) [79.6 KB] || NDVI_anomaly_2000-2021.11770_searchweb.png (320x180) [39.8 KB] || NDVI_anomaly_2000-2021.11770_thm.png (80x40) [4.5 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || NDVI_anomaly_2000-2021_1080p30.webm (1920x1080) [60.4 MB] || NDVI_anomaly_2000-2021_1080p30.mp4 (1920x1080) [146.7 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || captions_silent.31356.en_US.srt [43 bytes] || NDVI_Anomaly_2000_2021_4k_2160p30.mp4 (3840x2160) [608.3 MB] || NDVI_anomaly_2000-2021_1080p30.mp4.hwshow [196 bytes] || ", "hits": 522 }, { "id": 4916, "url": "https://svs.gsfc.nasa.gov/4916/", "result_type": "Visualization", "release_date": "2021-08-09T00:00:00-04:00", "title": "Normalized Difference Vegetation Index (NDVI) Anomaly in crop-growing regions for selected years", "description": "This visualization shows the NDVI anomaly in areas where maize, rice, soybeans, spring wheat or winter wheat are grown over the United States, Australia, Russia, Europe and southern Africa during certain years. Green colors indicate more than average vegetatation while orange colors indicate less productive areas.Coming soon to our YouTube channel. || NDVI_anomaly_regions.1020_print.jpg (1024x576) [140.2 KB] || NDVI_anomaly_regions.1020_searchweb.png (320x180) [72.6 KB] || NDVI_anomaly_regions.1020_thm.png (80x40) [5.9 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || NDVI_anomaly_regions_1080p30.mp4 (1920x1080) [110.9 MB] || captions_silent.31363.en_US.srt [43 bytes] || NDVI_anomaly_regions_1080p30.mp4.hwshow [194 bytes] || ", "hits": 115 }, { "id": 13899, "url": "https://svs.gsfc.nasa.gov/13899/", "result_type": "Produced Video", "release_date": "2021-07-28T15:00:00-04:00", "title": "Snack Time with NASA: Chips & Dip", "description": "Music credit: “Happy Accident” from Universal Production MusicThis video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery is provided by pond5.com and is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Complete transcript available. || 13899_Thumbnail_print.jpg (1024x576) [188.2 KB] || 13899_Thumbnail.png (2646x1490) [5.6 MB] || 13899_Thumbnail_searchweb.png (320x180) [95.2 KB] || 13899_Thumbnail_web.png (320x180) [95.2 KB] || 13899_Thumbnail_thm.png (80x40) [11.2 KB] || 13899_Cooking_Show_Crops.webm (960x540) [220.1 MB] || TWITTER_720_13899_Cooking_Show_Crops.mp4 (1280x720) [98.8 MB] || 13899_Cooking_Show_Crops.mp4 (1920x1080) [1.2 GB] || 13899_Cooking_Show_Crops.en_US.srt [12.0 KB] || 13899_Cooking_Show_Crops.en_US.vtt [12.0 KB] || ", "hits": 16 }, { "id": 13894, "url": "https://svs.gsfc.nasa.gov/13894/", "result_type": "Produced Video", "release_date": "2021-07-26T09:00:00-04:00", "title": "Keeping Track of Food Production From Space", "description": "Music: Building Ideas [Instrumental] by Todd James Carlin BakerComplete transcript available. || GLAM_thumbnail.png (1280x720) [796.0 KB] || GLAM_thumbnail_print.jpg (1024x576) [133.6 KB] || GLAM_thumbnail_searchweb.png (320x180) [57.4 KB] || GLAM_thumbnail_thm.png (80x40) [5.1 KB] || GLAM_FINAL.mov (1280x720) [887.4 MB] || GLAM_FINAL.mp4 (1280x720) [122.3 MB] || GLAM_FINAL.webm (1280x720) [13.1 MB] || GLAM_Captions.en_US.srt [2.3 KB] || GLAM_Captions.en_US.vtt [2.3 KB] || ", "hits": 34 }, { "id": 4816, "url": "https://svs.gsfc.nasa.gov/4816/", "result_type": "Visualization", "release_date": "2020-04-20T00:00:00-04:00", "title": "Earth Day 2020: Normalized Difference Vegetation Index (NDVI) Seasonal Cycles", "description": "NDVI Seasonal Cycles, With LabelsThis video is also available on our YouTube channel. || ndvi_w_labels.00001_print.jpg (1024x576) [66.3 KB] || ndvi_w_labels.00001_searchweb.png (320x180) [42.2 KB] || ndvi_w_labels.00001_thm.png (80x40) [3.9 KB] || ndvi_w_labels.webm (1920x1080) [6.8 MB] || ndvi_w_labels.mp4 (1920x1080) [111.8 MB] || captions_silent.29562.en_US.srt [43 bytes] || ndvi_w_labels.mp4.hwshow [373 bytes] || ", "hits": 63 }, { "id": 4782, "url": "https://svs.gsfc.nasa.gov/4782/", "result_type": "Visualization", "release_date": "2020-03-04T00:00:00-05:00", "title": "Vegetation Index Anomalies and Rift Valley fever (RVF) outbreaks in South Africa region: 2008-2011", "description": "This visualization with corresponding data dashboard shows the relationship between vegetation index anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal vegetaion over land (green) and RVF outbreak locations (orange pins). || NDVI_RVF_SAfrica_Composite_3840x2160_2657_print.jpg (1024x576) [102.7 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_searchweb.png (320x180) [57.8 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_thm.png (80x40) [5.0 KB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [35.6 MB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.webm (1920x1080) [7.1 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || NDVI_RVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [72.6 MB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657.tif (3840x2160) [31.6 MB] || ", "hits": 50 }, { "id": 4724, "url": "https://svs.gsfc.nasa.gov/4724/", "result_type": "Visualization", "release_date": "2020-02-21T00:00:00-05:00", "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in Africa and Middle East during 2000-2018", "description": "Data visualization featuring vegetation index anomalies over Africa and Middle East and locations of Rift Valley Fever (RVF) outbreaks (orange pins) during the period of 2000-2018. Frames are provided in 4K resolution. || Africa_NDVIRVF_2000_2018_3840x2160_2430_print.jpg (1024x576) [78.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_searchweb.png (320x180) [48.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_thm.png (80x40) [4.4 KB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.mp4 (1920x1080) [88.7 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.webm (1920x1080) [25.5 MB] || Africa_NDVIRVF_2000_2018_Composite (3840x2160) [0 Item(s)] || Africa_NDVIRVF_2000_2018_3840x2160_2430.tif (3840x2160) [6.0 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_p30.mp4 (3840x2160) [283.2 MB] || ", "hits": 42 }, { "id": 4747, "url": "https://svs.gsfc.nasa.gov/4747/", "result_type": "Visualization", "release_date": "2020-02-21T00:00:00-05:00", "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in South Africa during 2009-2011", "description": "This visualization shows the relationship between vegetation index anomalies (Normalized Difference Vegetation Index - NDVI) data and outbreak locations of Rift Valley fever (RVf) during 2008 and 2011. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa slowly to take a closer look at the above normal vegetation (green) and RVF outbreak locations (orange pins). Frames are provided in 4K resolution. || SAfrica_NDVIRVFwDates_3840x2160_1263_print.jpg (1024x576) [86.2 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_searchweb.png (320x180) [56.0 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_thm.png (80x40) [4.5 KB] || SAfrica_NDVIRVFComposite_1080p30.mp4 (1920x1080) [31.6 MB] || SAfrica_NDVIRVFComposite_1080p30.webm (1920x1080) [7.0 MB] || Composite (3840x2160) [0 Item(s)] || SAfrica_NDVIRVFwDates_3840x2160_1263.tif (3840x2160) [7.6 MB] || SAfrica_NDVIRVFComposite_3840x2160_p30.mp4 (3840x2160) [96.4 MB] || ", "hits": 33 }, { "id": 31053, "url": "https://svs.gsfc.nasa.gov/31053/", "result_type": "Hyperwall Visual", "release_date": "2019-12-02T00:00:00-05:00", "title": "Global Vegetation Index, Terra MODIS", "description": "One of the primary interests of NASA's Earth Sciences Program is to study the role of terrestrial vegetation in large-scale processes with the goal of understanding how our world functions as a system. These maps show Normalized Difference Vegetation Index (NDVI) values—a measure of the \"greenness\" of Earth's landscapes—from February 2000 to the present. The values, derived using data collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA's Terra satellite, range from -0.1 to 0.9 and have no unit. Rather, they are index values in which higher values (0.4 to 0.9) show lands covered by green, leafy vegetation and lower values (0 to 0.4) show lands where there is little or no vegetation. Dark green areas show where there was a lot of green leaf growth; light greens show where there was some green leaf growth; and tan areas show little or no growth. Black means no data. || ", "hits": 273 }, { "id": 12770, "url": "https://svs.gsfc.nasa.gov/12770/", "result_type": "Produced Video", "release_date": "2018-03-19T18:00:00-04:00", "title": "Harmonized Landsat 8 and Sentinel-2 Data", "description": "Landsat 8 and Sentinel-2 satellites have spectral and spatial similarities that make using their data together possible. When the data are used together observations can be more timely and accurate. The HLS project is an effort to \"harmonize\" the data of the two satellite programs so that they can be more easily used in unison. The ultimate goal is to obtain seamless 2-3 day global surface reflectance coverage at 30 meters that removes residual differences between the sensors due to spectral bandpass and view geometry. Currently the v1.3 HLS data set encompasses 82 global test sites that cover about 7% of the global land area.Using the processing power of the NASA Earth Exchange (NEX) computer cluster at NASA Ames, the HLS workflow atmospherically corrects data from the satellites, geographically tiles the Landsat data in a manor matching the Sentinel-2 tiling, and then corrects for different sensor view angles (Bidirectional Reflectance Distribution Function, or BRDF) and does a slight band pass adjustment for the Sentinel-2 data to create the harmonized 30-meter product.The HLS team includes researchers from NASA Goddard Space Flight Center, the University of Maryland, and NASA Ames Research Center. || ", "hits": 73 }, { "id": 4486, "url": "https://svs.gsfc.nasa.gov/4486/", "result_type": "Visualization", "release_date": "2016-08-19T00:00:00-04:00", "title": "Study Domain for the Arctic-Boreal Vulnerability Experiment", "description": "This image shows the core region (red outline) and extended region (purple outline) of the Arctic-Boreal Vulnerability Experiment over a background of the NDVI trend from 1983-2012. || ArcticGreeningImage_flat_print.jpg (1024x696) [278.1 KB] || ArcticGreeningImage_flat_searchweb.png (320x180) [152.1 KB] || ArcticGreeningImage_flat_thm.png (80x40) [21.3 KB] || ArcticGreeningImage_flat.tif (1000x680) [1.9 MB] || ", "hits": 28 }, { "id": 4452, "url": "https://svs.gsfc.nasa.gov/4452/", "result_type": "Visualization", "release_date": "2016-06-02T09:50:00-04:00", "title": "Vegetation Greening Trend in Canada and Alaska: 1984-2012", "description": "This animation examines the change in the vegetation trend over Canada and Alaska between 1984 and 2012. || AG_v0020_Final.3975_print.jpg (1024x576) [213.8 KB] || AG_v0020_Final.3975_searchweb.png (180x320) [103.3 KB] || AG_v0020_Final.3975_thm.png (80x40) [6.9 KB] || AG_Final_mb150_slow_1080p30.mp4 (1920x1080) [38.0 MB] || AG_Final_mb150_slow_1080p60.mp4 (1920x1080) [38.0 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || AG_Final_mb150_slow_1080p30.webm (1920x1080) [5.7 MB] || AG_Final_mb150_slow_1080p30.mp4.hwshow [226 bytes] || ", "hits": 99 }, { "id": 12225, "url": "https://svs.gsfc.nasa.gov/12225/", "result_type": "Produced Video", "release_date": "2016-06-02T09:50:00-04:00", "title": "Details of Arctic Greening in North America", "description": "NASA scientists used almost 30 years of data from the NASA/USGS Landsat satellites to track changes in vegetation in Alaska and Canada. Of the more than 4 million square miles, 30% had increases in vegetation (greening) while only 3% had decreases (browning). This is the first study to produce a continent-scale map while still providing detailed information at the human scale.Music: \"Alaska,\" by Janik Riegert [GEMA], Josh Tapen [GEMA]Watch this video on the NASA Goddard YouTube channel. || 12225_Arctic_greening_MASTER_large.00140_print.jpg (1024x576) [212.8 KB] || 12225_Arctic_greening_MASTER_large.00140_searchweb.png (320x180) [111.9 KB] || 12225_Arctic_greening_MASTER_large.00140_thm.png (80x40) [6.8 KB] || 12225_Arctic_greening_MASTER_youtube_hq.mov (1920x1080) [781.8 MB] || 12225_Arctic_greening_MASTER_large.mp4 (1920x1080) [109.6 MB] || 12225_Arctic_greening_MASTER_appletv.m4v (1280x720) [53.8 MB] || 12225_Arctic_greening_MASTER.mpeg (1280x720) [368.4 MB] || 12225_Arctic_greening_MASTER_prores.mov (1280x720) [1.5 GB] || 12225_Arctic_greening_MASTER.webm (960x540) [43.9 MB] || 12225_Arctic_greening_MASTER_appletv_subtitles.m4v (1280x720) [53.8 MB] || 12225_Arctic_greening-captions.en_US.srt [105 bytes] || 12225_Arctic_greening-captions.en_US.vtt [118 bytes] || 12225_Arctic_greening_MASTER_ipod_sm.mp4 (320x240) [19.2 MB] || ", "hits": 219 }, { "id": 11861, "url": "https://svs.gsfc.nasa.gov/11861/", "result_type": "Produced Video", "release_date": "2015-04-22T10:00:00-04:00", "title": "NASA On Air: NASA Satellites Show Global Biosphere Yearly Cycle (4/22/2015)", "description": "LEAD: A new view from NASA satellites show how the earth “greens up\" during spring and summer in the Northern Hemisphere. Here is an entire year in seven seconds.1. The green color represents plant growth on land, which is caused by increased sunlight during longer days (daylight).2. In the ocean, plant life is represented by the teal color. This color represents populations of tiny marine plants called phytoplankton.TAG: The satellite data has been averaged over ten-year periods and provides long-term views of how Earth changes. || WC_Biosphere-1920-MASTER_iPad_1920x0180_print.jpg (1024x576) [138.0 KB] || WC_Biosphere-1920-MASTER_iPad_1920x0180_searchweb.png (320x180) [77.6 KB] || WC_Biosphere-1920-MASTER_iPad_1920x0180_web.png (320x180) [77.6 KB] || WC_Biosphere-1920-MASTER_iPad_1920x0180_thm.png (80x40) [6.8 KB] || WC_Biosphere-1920-MASTER_WEA_CEN.wmv (1280x720) [6.9 MB] || WC_Biosphere_converted.avi (1280x720) [8.1 MB] || WC_Biosphere-1920-MASTER_baron.mp4 (1920x1080) [10.2 MB] || WC_Biosphere-1920-MASTER_iPad_960x540.m4v (960x540) [26.8 MB] || WC_Biosphere-1920-MASTER_iPad_1280x720.m4v (1280x720) [48.9 MB] || WC_Biosphere-1920-MASTER_iPad_1920x0180.webm (1920x1080) [1.5 MB] || WC_Biosphere-1920-MASTER_NBC_Today.mov (1920x1080) [121.6 MB] || WC_Biosphere-1920-MASTER_iPad_1920x0180.m4v (1920x1080) [121.6 MB] || WC_Biosphere-1920-MASTER_prores.mov (1920x1080) [217.9 MB] || WC_Biosphere-1920-MASTER_1920x1080.mov (1920x1080) [359.4 MB] || WC_Biosphere-1920-MASTER_1280x720.mov (1280x720) [406.2 MB] || ", "hits": 298 }, { "id": 30595, "url": "https://svs.gsfc.nasa.gov/30595/", "result_type": "Hyperwall Visual", "release_date": "2015-04-12T15:00:00-04:00", "title": "Global Biosphere, Yearly Cycle", "description": "A different color scheme to differentiate ocean and land. || biosphere_cryo_280_print.jpg (1024x576) [145.4 KB] || biosphere_cryo_280_searchweb.png (180x320) [77.2 KB] || biosphere_cryo_280_thm.png (80x40) [7.2 KB] || biosphere_cryo_1080p.mp4 (1920x1080) [10.5 MB] || biosphere_cryo_720p.mp4 (1280x720) [5.0 MB] || biosphere_cryo_720p.webm (1280x720) [1.4 MB] || biosphere_cryo_2160p.mp4 (3840x2160) [37.2 MB] || biosphere_cryo_280.tif (5760x3240) [14.7 MB] || biosphere_cryo_3240p.mp4 (5760x3240) [43.6 MB] || biosphere_cryo_30595.key [14.6 MB] || biosphere_cryo_30595.pptx [12.0 MB] || ", "hits": 291 }, { "id": 4044, "url": "https://svs.gsfc.nasa.gov/4044/", "result_type": "Visualization", "release_date": "2013-02-27T00:00:00-05:00", "title": "The Distributed Water Balance of the Nile Basin", "description": "This visualization shows how satellite data and NASA models are being applied to study the hydrology of the Nile basin. The Tropical Rainfall Measurement Mission (TRMM) Multisensor Precipitation Analysis (TMPA) provides three-hourly estimates of rainfall rate across much of the globe. Here we see the seasonal cycle of monthly precipitation derived from TMPA for Africa, including the Nile Basin. The annual migration of the Intertropical Convergence Zone (ITCZ) from the Nile Equatorial Lakes region around Lake Victoria, source of the White Nile, northward into Sudan and the highlands of Ethiopia, headwaters of the Blue Nile, and back is evident in the seasonal cycle in precipitation. This precipitation cycle drives flow through the Nile River system. The Nile basin, however, is intensely evaporative, and the majority of the water that falls as rain leaves the basin as evaporation rather than river flow—either from the humid headwaters regions or from large reservoirs and irrigation developments in Egypt and Sudan. The Atmosphere Land Exchange Inverse (ALEXI) evapotranspiration product, developed by USDA scientists, uses satellite data to map daily evapotranspiration across the entire Nile basin, providing unprecedented information on water consumption. The balance of rainfall and evapotranspiration can be seen in seasonal patterns of soil moisture, as simulated by the NASA Nile Land Data Assimilation System (LDAS), which merges satellite information with a physically-based land surface model to simulate variability in soil moisture—a critical variable for rainfed agriculture and natural ecosystems. Finally, the twin satellites of the Gravity Recovery and Climate Experiment (GRACE) can be used to monitor variability in total water storage, including surface water, soil moisture, and groundwater. The annual cycle in GRACE estimates of water storage anomalies clearly shows the seasonal movement of water storage due to precipitation patterns and the movement of surface waters from headwaters regions into the wetlands of South Sudan and the reservoirs of the lower Nile basin.The Nile is the longest river in the world and its basin is shared by 11 countries. Reliable, spatially distributed estimates of hydrologic storage and fluxes can provide critical information for water managers contending with multiple resource demands, a variable and changing climate, and the risk of damaging floods and droughts. NASA observations and modeling systems offer unique capabilities to meet these information needs. || ", "hits": 108 }, { "id": 3947, "url": "https://svs.gsfc.nasa.gov/3947/", "result_type": "Visualization", "release_date": "2012-07-08T00:00:00-04:00", "title": "Watching the Earth Breathe:
An Animation of Seasonal Vegetation and its effect on Earth's Global Atmospheric Carbon Dioxide", "description": "In this animation, NASA instruments show the seasonal cycle of vegetation and the concentration of carbon dioxide in the atmosphere. The animation begins on January 1, when the northern hemisphere is in winter and the southern hemisphere is in summer. At this time of year, the bulk of living vegetation, shown in green, hovers around the equator and below it, in the southern hemisphere.As the animation plays forward through mid-April, the concentration of carbon dioxide, shown in orange-yellow, in the middle part of Earth's lowest atmospheric layer, the troposphere, increases and spreads throughout the northern hemisphere, reaching a maximum around May. This blooming effect of carbon dioxide follows the seasonal changes that occur in northern latitude ecosystems, in which deciduous trees lose their leaves, resulting in a net release of carbon dioxide through a process called respiration. Carbon dioxide is also released in early spring as soils begin to warm. Almost 10 percent of atmospheric carbon dioxide passes through soils each year.After April, the northern hemisphere moves into late spring and summer and plants begin to grow, reaching a peak in the late summer. The process of plant photosynthesis removes carbon dioxide from the air. The animation shows how carbon dioxide is scrubbed out of the atmosphere by the large volume of new and growing vegetation. Following the peak in vegetation, the drawdown of atmospheric carbon dioxide due to photosynthesis becomes apparent, particularly over the boreal forests.Note that there is roughly a three-month lag between the state of vegetation at Earth's surface and its effect on carbon dioxide in the middle troposphere.Data like these give scientists a new opportunity to better understand the relationships between carbon dioxide in Earth's middle troposphere and the seasonal cycle of vegetation near the surface.Creating the AnimationThis animation was created with data taken from two NASA spaceborne instruments. The concentration of carbon dioxide data from the Atmospheric Infrared Sounder (AIRS), a weather and climate instrument that flies aboard NASA's Aqua spacecraft, is overlain on measurements of vegetation index from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument, also on NASA's Aqua spacecraft, to better understand how photosynthesis and respiration influences the atmospheric carbon dioxide cycle over the globe. The animation runs from January through December and repeats. The AIRS tropospheric carbon dioxide seasonal cycle values were made by averaging AIRS data collected between 2003 and 2010, from which the annual carbon dioxide growth trend of 2 parts per million per year has been removed. For example, the data used for January 1 is actually an average of eight years of AIRS carbon dioxide data taken each year on January 1. The vegetation values were made using data averaged over a four-year period, from 2003 to 2006.Further DetailAIRS uses infrared technology to determine the concentration of atmospheric water vapor and several important trace gases as well as information about temperature and clouds. AIRS orbits Earth from pole-to-pole at an altitude of 438 miles (705 kilometers), measuring Earth's infrared spectrum in 3,278 channels spanning a wavelength range from 3.74 microns to 15.4 microns. Originally designed to improve weather forecasts, AIRS has improved operational five-day weather forecasts more than any other single instrument over the past decade. AIRS has also been found to be sensitive to atmospheric carbon dioxide in the middle troposphere, at an altitude of 5 to 10 kilometers or 3 to 6 miles. AIRS is managed by NASA's Jet Propulsion Laboratory, Pasadena, Calif., under contract to NASA. JPL is a division of the California Institute of Technology in Pasadena. For further information, access the AIRS projectThe MODIS instrument is managed by NASA's Goddard Space Flight Center, Greenbelt, Md. For further information, access the MODIS project. || ", "hits": 222 }, { "id": 3807, "url": "https://svs.gsfc.nasa.gov/3807/", "result_type": "Visualization", "release_date": "2011-08-31T00:00:00-04:00", "title": "Predicting Disease Outbreaks from Space", "description": "These visualizations were created for the May 18, 2012 Library of Congress Talk Predictiding Disease Outbreaks from Space. In this talk NASA scientist Assaf Anyamba, will present how using remote-sensing data we can see links among weather, diseases and famine.An early warning system more than a decade in development successfully predicted the 2006-2007 outbreak of the deadly Rift Valley Fever (RVF) in East Africa and subsequent outbreaks in Sudan (2007) and South Africa (2008-2011). RVF is a deadly hemorrhagic disease transmitted by mosquitoes that infects livestock and human populations episodically. An international team of research scientists, public-health professionals, agricultural specialists and military personnel had worked for a decade to successfully predict when and where an outbreak of RVF would occur. || ", "hits": 49 }, { "id": 3707, "url": "https://svs.gsfc.nasa.gov/3707/", "result_type": "Visualization", "release_date": "2010-05-01T00:00:00-04:00", "title": "Five Spheres - Land Changes through NDVI", "description": "Satellite data can be used to monitor the health of plant life from space. The Normalized Difference Vegetation Index (NDVI) provides a simple numerical indicator of the health of vegetation which can be used to monitoring changes in vegetation over time. This animation shows the seasonal changes in vegetation by fading between average monthly NDVI data from 2004. This animation of land changes is match framed to animation id a003708, a003709, a003710, and a003711. || ", "hits": 145 }, { "id": 3708, "url": "https://svs.gsfc.nasa.gov/3708/", "result_type": "Visualization", "release_date": "2010-05-01T00:00:00-04:00", "title": "Five Spheres - Tropospheric Ozone", "description": "Satellite data can be used to monitor the health of the atmosphere from space. This animation of atmospheric changes is match framed to animation entries 3707, 3709, 3710, and 3711. This dataset shows tropospheric ozone, which is close to the ground and a component of pollution. This should be distinguished from high altitude (stratospheric) ozone which shields the Earth's surface from ultraviolet radiation.For more information about tropospheric ozone see the links below:http://www.nasa.gov/vision/earth/environment/ozone_resource_page.htmlhttp://www.ozonelayer.noaa.gov/science/basics.htm || ", "hits": 16 }, { "id": 3710, "url": "https://svs.gsfc.nasa.gov/3710/", "result_type": "Visualization", "release_date": "2010-05-01T00:00:00-04:00", "title": "Five Spheres - Cryosphere", "description": "Sea ice is frozen seawater floating on the surface of the ocean. Some sea ice is semi-permanent, persisting from year to year, and some is seasonal, melting and refreezing from season to season. The sea ice cover reaches its minimum extent at the end of each summer and the remaining ice is called the perennial ice cover. The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA Earth Observing System (EOS) Aqua satellite, provides data mapped to a polar stereographic grid at 12.5 km spatial resolution. This satellite data can be used to monitor the health of the cryosphere from space. This animation of sea ice changes in the Arctic is match framed to animation entries 3707, 3708, 3709, and 3711. Over the water, Arctic sea ice changes from day to day showing a running 3-day maximum sea ice concentration in the region where the concentration is greater than 15%. The blueish white color of the sea ice is derived from a 3-day running maximum of the AMSR-E 89 GHz brightness temperature. Over the terrain, monthly data from the seasonal Blue Marble Next Generation fades slowly from month to month.For more information about sea ice see http://nsidc.org/data/amsre or http://modis-snow-ice.gsfc.nasa.gov. || ", "hits": 34 }, { "id": 3711, "url": "https://svs.gsfc.nasa.gov/3711/", "result_type": "Visualization", "release_date": "2010-05-01T00:00:00-04:00", "title": "Five Spheres - Water", "description": "Satellite data can be used to observe the dramatic ebb and flow of the our planet's water system from space. This animation of QuikSCAT's sea surface winds is match framed to animation entries 3707, 3708, 3709, and 3710. The SeaWinds Scatterometer instrument on the QuikSCAT satellite captures the always moving and complex sea surface. The mission has also provided critical information for monitoring, modeling, forecasting and researching our atmosphere, ocean and climate.By any measure of success, the 10-year-old QuikSCAT mission is a unique national resource that has achieved and far surpassed its science objectives. Designed for a two-year lifetime, QuikSCAT has been used around the globe by the world's operational meteorological agencies to improve weather forecasts and identify the location, size and strength of hurricanes and other storms in the open ocean. More information on QuikSCAT is online at: http://winds.jpl.nasa.gov/missions/quikscat/index.cfm. || ", "hits": 15 }, { "id": 10516, "url": "https://svs.gsfc.nasa.gov/10516/", "result_type": "Produced Video", "release_date": "2009-11-03T00:00:00-05:00", "title": "Science for a Hungry World: Agriculture and Climate Change", "description": "How will climate change impact agriculture? This episode explores the need for accurate, continuous and accessible data and computer models to track and predict the challenges farmers face as they adjust to a changing climate.For complete transcript, click here. || Thumbnail_1280x720.jpg (1280x720) [776.8 KB] || Thumbnail_80x40.jpg (80x40) [2.6 KB] || Thumbnail_160x80.jpg (160x80) [7.9 KB] || Thumbnail_320x180.jpg (320x180) [91.4 KB] || Ag_Ep6_Climate_AppleTV.webmhd.webm (960x540) [70.8 MB] || Ag_Ep6_Climate_AppleTV.m4v (960x540) [188.6 MB] || Ag_Ep6_Climate_1280x720.mp4 (1280x720) [285.4 MB] || Ag_Ep6_Climate_640x360.m4v (640x360) [54.7 MB] || Ag_Ep6_Climate_640x480.mp4 (640x480) [112.9 MB] || Ag_Ep6_Climate_320x180.mp4 (320x180) [23.4 MB] || Ag_Ep6_Climate.wmv (320x176) [34.9 MB] || Ag_Ep6_Climate_H264.mov (1280x720) [2.7 GB] || Ag_Ep6_Climate_FullRes.mov (1280x720) [5.1 GB] || bigmovie-agriculture_part6_video.hwshow || ", "hits": 128 }, { "id": 10491, "url": "https://svs.gsfc.nasa.gov/10491/", "result_type": "Produced Video", "release_date": "2009-09-30T00:00:00-04:00", "title": "Science For a Hungry World: NASA's Partners", "description": "Every day, NASA collects information vital to food production all over the world. This information is a valuable asset. NASA's mission: to give it away for free. With the data they collect, teams of NASA researchers and their partners at the USDA Foreign Agriculture Service, USAID Famine Early Warning Network (FEWS NET), NOAA, and several major universities including the University of Maryland, work to increase crop yields, ease famine, and keep the global agricultural system functioning.For complete transcript, click here. || ag_ep_2_H.264_iPod_320x240.01192_print.jpg (1024x576) [85.5 KB] || ag_ep_2_H.264_iPod_320x240_web.png (320x180) [108.6 KB] || ag_ep_2_H.264_iPod_320x240_thm.png (80x40) [12.4 KB] || Ag_Ep_2_full_res-H.264_for_Apple_TV.webmhd.webm (960x540) [65.1 MB] || ag_ep_2_draft_5-Ag_ep2_Partners_09-25-09_1804_copy-720_H.264_QT_for_16x9_Youtube.mov (1280x720) [69.5 MB] || Ag_Ep_2_full_res-H.264_for_Apple_TV.m4v (960x540) [166.6 MB] || ag_ep_2_draft_5-Ag_ep2_Partners_09-25-09_1804_copy-H.264_for_iPod_video_and_iPhone_640x480.m4v (640x360) [56.2 MB] || GSFC_20090930_ag_ep_2_m10491.en_US.srt [11.6 KB] || GSFC_20090930_ag_ep_2_m10491.en_US.vtt [11.2 KB] || ag_ep_2_H.264_iPod_320x240.m4v (320x180) [20.7 MB] || Ag_Ep_2_full_res.wmv (320x236) [43.4 MB] || bigmovie-agriculture_part2_video.hwshow || ", "hits": 20 }, { "id": 10490, "url": "https://svs.gsfc.nasa.gov/10490/", "result_type": "Produced Video", "release_date": "2009-09-22T23:00:00-04:00", "title": "Science For a Hungry World: Introduction", "description": "As the first of six episodes, Science for a Hungry World: Part 1 sets the groundwork for explaining why NASA data is critical to ensure a stable global food system. This video reveals how satellite remote sensing data provide the world with essential information like the Normalized Difference Vegetation Index, or NDVI, which allows scientists and governments to see the health of crops on a global scale. This video reinforces the idea that a unique perspective from space is essential for continuous global agricultural monitoring and accurate forecasting.For complete transcript, click here. || Science_for_a_Hungry_World_Part_1_320x240.01627_print.jpg (1024x576) [111.9 KB] || Science_for_a_Hungry_World_Part_1_320x240_thm.png (80x40) [17.4 KB] || Science_for_a_Hungry_World_Part_1_320x240_web.png (180x320) [152.7 KB] || Science_for_a_Hungry_World_Part_1_AppleTV.webmhd.webm (960x540) [68.9 MB] || Science_for_a_Hungry_World_Part_1_AppleTV.m4v (960x540) [174.3 MB] || Science_for_a_Hungry_World_Part_1_H264_1280x720.mov (1280x720) [194.6 MB] || Science_for_a_Hungry_World_Part_1_640x480_ipod.m4v (640x360) [57.4 MB] || Science_for_a_Hungry_World_Part_1_for_Rob.m4v (640x360) [39.4 MB] || Science_for_a_Hungry_World_Part_1_320x240.mp4 (320x180) [22.5 MB] || Science_for_a_Hungry_World_Part_1.wmv (320x236) [37.8 MB] || bigmovie-science_for_a_hungry_world_1-introduction.hwshow || ", "hits": 25 }, { "id": 3584, "url": "https://svs.gsfc.nasa.gov/3584/", "result_type": "Visualization", "release_date": "2009-06-05T00:00:00-04:00", "title": "A Global View of Seasonal NDVI", "description": "Satellite data can be used to monitor the health of plant life from space. The Normalized Difference Vegetation Index (NDVI) provides a simple numerical indicator of the health of vegetation which can be used to monitoring changes in vegetation over time. This animation shows the seasonal changes in vegetation by fading between average monthly NDVI data from 2004. The loop begins on September 24 and repeats six times during one full rotation of the globe at a rate of one frame per day. The fade for each month is complete on the 15th of each month. || ", "hits": 892 }, { "id": 3292, "url": "https://svs.gsfc.nasa.gov/3292/", "result_type": "Visualization", "release_date": "2006-02-15T12:00:00-05:00", "title": "Habitat Suitability for Tamarisk Invasion in the State of Texas", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and the US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of Texas. Red indicates areas that are highly suitable and yellow indicates areas which are less suitable. Texas is the most vulnerable state to a Tamarisk invasion with 30.11% of the states area classified as 95% suitable for tamarisk habitat. || ", "hits": 5 }, { "id": 3291, "url": "https://svs.gsfc.nasa.gov/3291/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "National Map Showing Habitat Suitability for Tamarisk Invasion", "description": "The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data, to create on-demand, regional-scale assessments of invasive species likely habitats.Recent work on the Invasive Species Forecasting System (ISFS) project has shown the importance of remotely-sensed time-series data in geostatistical models for mapping the distribution of Tamarisk and other invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the continental United States. Red indicates areas that are highly suitable and yellow indicates areas which are less suitable. Texas, New Mexico, and Nevada are the most highly suitable states. Utah and Arizona have the next greatest risk. California, Arizona, Montana, Colorado, Oregon, Ohio, Wyoming, and Florida also have a significant risk. || ", "hits": 20 }, { "id": 3293, "url": "https://svs.gsfc.nasa.gov/3293/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "The Habitat Suitability for Tamarisk Invasion in the State of New Mexico", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in New Mexico. New Mexico is vulnerable to a Tamarisk invasion with 13.55% of the states area classified as 95% suitable for Tamarisk habitat. Tamarisk spreads quickly along riverbeds and when it sheds its leaves, this foliage secretes salt on the soil, hindering other plant growth. Red indicates areas that are highly suitable for Tamarisk. Yellow indicates areas which are less suitable, and gray indicates areas which are not suitable. || ", "hits": 11 }, { "id": 3297, "url": "https://svs.gsfc.nasa.gov/3297/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Habitat Suitability for Tamarisk Invasion in the State of Arizona", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of Arizona. Tamarisk spreads quickly along riverbeds and when it sheds its leaves, this foliage secretes salt on the soil, which hinders other plant growth. Red indicates areas that are highly suitable for Tamarisk. Yellow indicates areas which are less suitable, and gray are areas which are not suitable. || ", "hits": 17 }, { "id": 3298, "url": "https://svs.gsfc.nasa.gov/3298/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Habitat Suitability for Tamarisk Invasion in the State of Nevada", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of Nevada. Tamarisk spreads quickly along riverbeds and when it sheds its leaves, this foliage secretes salt on the soil, which hinders other plant growth. Red indicates areas that are highly suitable for Tamarisk. Yellow indicates areas which are less suitable, and gray are areas which are not suitable. || ", "hits": 11 }, { "id": 3299, "url": "https://svs.gsfc.nasa.gov/3299/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Habitat Suitability for Tamarisk Invasion in the State of California", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of California. Tamarisk spreads quickly along riverbeds and when its leaves shed, they secrete salt on the soil, which can hinder other plant growth. Red indicates areas that are highly suitable. Yellow indicates areas which are less suitable, and gray are areas which are not suitable. || ", "hits": 13 }, { "id": 3300, "url": "https://svs.gsfc.nasa.gov/3300/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Habitat Suitability for Tamarisk Invasion in the State of Colorado", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of California. Tamarisk spreads quickly along riverbeds and when its leaves shed, they secrete salt on the soil, which can hinder other plant growth. Red indicates areas that are highly suitable for Tamarisk growth. Yellow indicates areas which are less suitable, and gray are areas which are not suitable. The study used field surveys of species richness, one 30m spatial resolution Landsat 7 Enhanced Thematic Mapper plus (ETM+) image, and a three year time-series of 250m spatial resolution Moderate Resolution Imaging Spectrometer (MODIS) imagery over three sites. Actual tamarisk presence data from the field surveys are shown in green. || ", "hits": 9 }, { "id": 3296, "url": "https://svs.gsfc.nasa.gov/3296/", "result_type": "Visualization", "release_date": "2006-01-30T12:00:00-05:00", "title": "Habitat Suitability for Tamarisk Invasion in the State of Utah", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of Utah. Tamarisk spreads quickly along riverbeds and when it sheds its leaves, this foliage secretes salt on the soil, which hinders other plant growth. Red indicates areas that are highly suitable for Tamarisk. Yellow indicates areas which are less suitable, and gray are areas which are not suitable. || ", "hits": 12 }, { "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": 2851, "url": "https://svs.gsfc.nasa.gov/2851/", "result_type": "Visualization", "release_date": "2003-12-30T12:00:00-05:00", "title": "Mapping Invasive Species Using MODIS Time Series Data", "description": "This video shows how remote sensing coupled with time series analysis can be used to make predictive maps for various parameters, including invasive species. || nvsv.0158_print.jpg (640x480) [34.7 KB] || a002851_pre.jpg (320x240) [4.3 KB] || a002851.webmhd.webm (960x540) [10.0 MB] || 640x480_4x3_30p (640x480) [256.0 KB] || a002851.mpg (640x480) [40.6 MB] || invasive_species.mov (480x640) [37.9 MB] || a002851_320.m1v (320x240) [11.6 MB] || ", "hits": 61 }, { "id": 2568, "url": "https://svs.gsfc.nasa.gov/2568/", "result_type": "Visualization", "release_date": "2002-10-09T12:00:00-04:00", "title": "NDVI Animation over Continental United States", "description": "The Normalized Differential Vegetation Index, NDVI, is one component of a model that is used to predict mosquito where mosquitos will flourish and where they will not. These images were created in support of a story describing how NASA is assisting the CDC and EPA in tracking the spread of West Nile Virus. || ", "hits": 13 }, { "id": 2493, "url": "https://svs.gsfc.nasa.gov/2493/", "result_type": "Visualization", "release_date": "2002-07-15T12:00:00-04:00", "title": "Drought over Western United States (Stills)", "description": "The product that generated these images is the Normalized Difference Vegetation Index (NDVI), which measures the health of plant life based on their levels of photosynthesis. The NDVI was developed by Compton Tucker, a senior scientist at NASA/Goddard. || NDVI measurments for Arizona during May, 2002. || az_whole.0001.jpg (2560x1920) [804.6 KB] || az_whole.0001_web.jpg (320x240) [16.3 KB] || az_whole.0001.tif (2560x1920) [5.8 MB] || ", "hits": 3 }, { "id": 2489, "url": "https://svs.gsfc.nasa.gov/2489/", "result_type": "Visualization", "release_date": "2002-07-03T12:00:00-04:00", "title": "NDVI for the United States as of May, 2002", "description": "New satellite-derived images of vegetation confirm extremely dry conditions exist that are ripe for fires in the western United States, according to a data collaboration between NASA and the USDA Foreign Agricultural Service. || ", "hits": 29 }, { "id": 116, "url": "https://svs.gsfc.nasa.gov/116/", "result_type": "Visualization", "release_date": "1996-10-25T12:00:00-04:00", "title": "The HoloGlobe Project (Version 2)", "description": "This animation was produced for the Smithsonian Institution's HoloGlobe Exhibit which opened to the public on August 10, 1996. The various orthographic data sets showing progressive global change were mapped onto a rotating globe and projected into space to create a holographic image of the Earth. Showing Earthandapos;s atmosphere, hydrosphere, geosphere, and biosphere are dynamic, changing on timescales of days, minutes, or even seconds. This animation is a revised version of Animation #96 [The HoloGlobe Project (Version 1)]. || ", "hits": 59 }, { "id": 1306, "url": "https://svs.gsfc.nasa.gov/1306/", "result_type": "Visualization", "release_date": "1996-08-10T12:00:00-04:00", "title": "HoloGlobe: Vegetation Index for 1991 on a Globe", "description": "This is one of a series of animations that were produced to be part of the narrated video shown in the HoloGlobe exhibit at the Smithsonian Museum of Natural History and the Earth Today exhibit at the Smithsonian Air and Space Museum. || ", "hits": 9 }, { "id": 1307, "url": "https://svs.gsfc.nasa.gov/1307/", "result_type": "Visualization", "release_date": "1996-08-10T12:00:00-04:00", "title": "HoloGlobe: Vegetation Index for 1991 on a Globe (with Dates)", "description": "This is one of a series of animations that were produced to be part of the narrated video shown in the HoloGlobe exhibit at the Smithsonian Museum of Natural History and the Earth Today exhibit at the Smithsonian Air and Space Museum. || ", "hits": 6 }, { "id": 1308, "url": "https://svs.gsfc.nasa.gov/1308/", "result_type": "Visualization", "release_date": "1996-08-10T12:00:00-04:00", "title": "HoloGlobe: Vegetation Index for 1991 on a Flat Earth", "description": "This is one of a series of animations that were produced to be part of the narrated video shown in the HoloGlobe exhibit at the Smithsonian Museum of Natural History and the Earth Today exhibit at the Smithsonian Air and Space Museum. || ", "hits": 10 }, { "id": 1309, "url": "https://svs.gsfc.nasa.gov/1309/", "result_type": "Visualization", "release_date": "1996-08-10T12:00:00-04:00", "title": "HoloGlobe: Vegetation Index for 1991 on a Flat Earth (with Dates)", "description": "This is one of a series of animations that were produced to be part of the narrated video shown in the HoloGlobe exhibit at the Smithsonian Museum of Natural History and the Earth Today exhibit at the Smithsonian Air and Space Museum. || ", "hits": 43 }, { "id": 1317, "url": "https://svs.gsfc.nasa.gov/1317/", "result_type": "Visualization", "release_date": "1996-08-10T12:00:00-04:00", "title": "HoloGlobe: Countries in the GLOBE Program as of April 1997", "description": "This is one of a series of animations that were produced to be part of the narrated video shown in the HoloGlobe exhibit at the Smithsonian Museum of Natural History and the Earth Today exhibit at the Smithsonian Air and Space Museum. This particular animation was not used in the final video. || ", "hits": 12 }, { "id": 1318, "url": "https://svs.gsfc.nasa.gov/1318/", "result_type": "Visualization", "release_date": "1996-08-10T12:00:00-04:00", "title": "HoloGlobe: Cloud Dynamics over the Eastern Hemisphere", "description": "This is one of a series of animations that were produced to be part of the narrated video shown in the HoloGlobe exhibit at the Smithsonian Museum of Natural History and the Earth Today exhibit at the Smithsonian Air and Space Museum. This particular animation was not used in the final video. || ", "hits": 19 }, { "id": 96, "url": "https://svs.gsfc.nasa.gov/96/", "result_type": "Visualization", "release_date": "1996-08-01T12:00:00-04:00", "title": "The HoloGlobe Project (Version 1)", "description": "This animation was originally produced for the Smithsonian Institution's HoloGlobe Exhibit which opened to the public on August 10, 1996 at the Museum of Natural History in Washington, DC. These various data sets showing progressive global change were mapped onto a rotating globe and projected into space to create a holographic image of the Earth. Showing Earth's atmosphere, hydrosphere, geosphere, and biosphere are dynamic, changing on timescales of days, minutes, or even seconds. || ", "hits": 52 }, { "id": 155, "url": "https://svs.gsfc.nasa.gov/155/", "result_type": "Visualization", "release_date": "1996-08-01T12:00:00-04:00", "title": "The HoloGlobe Project (Version 3)", "description": "These animations were produced for the Smithsonian Institution's HoloGlobe Exhibit which opened to the public on August 10, 1996 at the Museum of Natural History in Washington, DC. The various data sets show progressive global change mapped onto a rotating globe and projected into space to create a holographic image of the Earth. The exhibit shows that Earth's atmosphere, hydrosphere, geosphere, and biosphere are dynamic, changing on timescales of days, minutes, or even seconds. The exhibit has since been relocated to the west coast. This is a revised version from Animation #116 [The HoloGlobe Project (version 2)]. || ", "hits": 87 } ] }