{ "count": 91, "next": null, "previous": null, "results": [ { "id": 5474, "url": "https://svs.gsfc.nasa.gov/5474/", "result_type": "Visualization", "release_date": "2025-01-20T00:00:00-05:00", "title": "Science On a Sphere: 4 Years of Biosphere", "description": "Biosphere data processed for display on Science On a Sphere (SOS)", "hits": 71 }, { "id": 5031, "url": "https://svs.gsfc.nasa.gov/5031/", "result_type": "Visualization", "release_date": "2023-03-01T11:00:00-05:00", "title": "Continental scale carbon stocks of individual trees in African drylands", "description": "Using commercial, high-resolution satellite images and artificial intelligence, a team of NASA-funded scientists mapped almost 10 billion individual trees in Africa’s drylands in order to assess the amount of carbon stored outside of major forests. The result is the first comprehensive estimate of carbon density in the Saharan, Sahel, and Sudanian zones of Africa. Complete transcript available. || Untitled-1.jpg (2096x1415) [1.8 MB] || Approved_final_exportmp4.webm (1920x1080) [39.1 MB] || Approved_final_exportmp4.mp4 (1920x1080) [719.1 MB] || tree_counting.en_US.srt [5.3 KB] || tree_counting.en_US.vtt [5.3 KB] || ", "hits": 56 }, { "id": 5075, "url": "https://svs.gsfc.nasa.gov/5075/", "result_type": "Visualization", "release_date": "2023-02-13T00:00:00-05:00", "title": "Near Real-Time Global Biosphere", "description": "The latest 2.5 years of Biosphere data with date annotations. || nrtbio_print.jpg (1024x512) [205.4 KB] || nrtbio_searchweb.png (320x160) [88.7 KB] || nrtbio_thm.png (80x40) [7.2 KB] || Plate_Carree_with_Dates (4096x2048) [0 Item(s)] || nrtbio_annot_plate_2048p30.mp4 (4096x2048) [113.2 MB] || slide-01.hwshow ||", "hits": 0 }, { "id": 5006, "url": "https://svs.gsfc.nasa.gov/5006/", "result_type": "Visualization", "release_date": "2022-11-06T00:00:00-04:00", "title": "Global Biosphere March 2017 - Feb 2022", "description": "Example composite of 5 years of Mollweide projected data of Earth's biosphere beginning March 2017 through February 2022. || newbio_v34_mollweide_comp1130_print.jpg (1024x512) [186.1 KB] || newbio_v34_mollweide_comp1130_searchweb.png (180x320) [94.2 KB] || newbio_v34_mollweide_comp1130_thm.png (80x40) [7.4 KB] || Example_Composite (2000x1000) [0 Item(s)] || newbio_v34_mollweide_comp_1000p30.mp4 (2000x1000) [40.4 MB] || newbio_v34_mollweide_comp_1000p30.webm (2000x1000) [4.5 MB] || ", "hits": 59 }, { "id": 4877, "url": "https://svs.gsfc.nasa.gov/4877/", "result_type": "Visualization", "release_date": "2021-04-05T15:30:00-04:00", "title": "Ecological insights from three decades of animal movement tracking across a changing Arctic", "description": "Animal movement tracking across the arctic on top of seasonal natural phenomena like changing vegetation, snow (white), and sea ice (light purple).This video is also available on our YouTube channel. || migration_final_024.1000_print.jpg (1024x576) [74.8 KB] || migration_final_024.1000_print_print.jpg (1024x576) [36.9 KB] || migration_final_024.1000_print_searchweb.png (320x180) [52.6 KB] || migration_final_024.1000_print_web.png (320x180) [52.6 KB] || migration_final_024.1000_print_thm.png (80x40) [4.3 KB] || migration_final_024_1080p59.94.webm (1920x1080) [17.1 MB] || migration_final_024_1080p59.94.mp4 (1920x1080) [103.0 MB] || north_america (3840x2160) [0 Item(s)] || captions_silent.30466.en_US.srt [43 bytes] || migration_final_024_2160p59.94.mp4 (3840x2160) [297.5 MB] || migration_final_024_1080p.hwshow [83 bytes] || ", "hits": 112 }, { "id": 13800, "url": "https://svs.gsfc.nasa.gov/13800/", "result_type": "Produced Video", "release_date": "2021-03-22T09:30:00-04:00", "title": "Landsat Helps Warn of Algae in Lakes and Rivers", "description": "From space, satellites including the NASA and U.S. Geological Survey’s (USGS) Landsat 8 can help scientists identify lakes where an algal bloom has formed. It’s a complicated data analysis process, but one that researchers are automating so resource managers around the country can use the satellite data to identify potential problems.Music: Light From Dark by Adam Salkedi, Neil Pollard [PRS], published by Atmosphere Music Ltd.; Experimental Design by Laurent Dury [SACEM], published by Koka Media; Against The Wall by Benjamin Peter McAvoy [PRS], published by Sound Pocket Music; Brainstorming by Laurent Dury[SACEM], published by Koka Media; Together As One by Le Fat Club [SACEM], Olivier Grim [SACEM]; published by Koka Media.Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13800_aquatic_reflection_poster.png (1564x936) [2.7 MB] || 13800_aquatic_reflection_poster_print.jpg (1024x612) [237.1 KB] || 13800_aquatic_reflection_poster_searchweb.png (320x180) [130.5 KB] || 13800_aquatic_reflection_poster_thm.png (80x40) [10.8 KB] || 13800_aquatic_reflectance_prores.mov (1920x1080) [5.3 GB] || 13800_aquatic_reflectance_yt.mp4 (1920x1080) [632.1 MB] || 13800_aquatic_reflectance_fb.mp4 (1920x1080) [473.0 MB] || 13800_aquatic_reflectance_tw-720.mp4 (1280x720) [161.2 MB] || 13800_aquatic_reflectance_yt.webm (1920x1080) [21.7 MB] || 13800_aquatic_reflectance-captions.en_US.srt [9.4 KB] || 13800_aquatic_reflectance-captions.en_US.vtt [9.0 KB] || ", "hits": 33 }, { "id": 4865, "url": "https://svs.gsfc.nasa.gov/4865/", "result_type": "Visualization", "release_date": "2020-10-16T09:00:00-04:00", "title": "An unexpectedly large count of trees in the West African Sahara and Sahel", "description": "Visualization showing study region, climate zones, close up of high res satellite data with machine learning-based tree crown regions, counting of trees, and overall tree counts and areaThis video is also available on our YouTube channel. || tree_counting_030_1080p59.94.02760_print.jpg (1024x576) [202.7 KB] || tree_counting_030_1080p59.94.02760_searchweb.png (320x180) [111.6 KB] || tree_counting_030_1080p59.94.02760_thm.png (80x40) [7.4 KB] || tree_counting_030_1080p59.94.mp4 (1920x1080) [37.1 MB] || tree_counting_030_1080p59.94.webm (1920x1080) [11.1 MB] || english (3840x2160) [0 Item(s)] || captions_silent.30076.en_US.srt [43 bytes] || tree_counting_030_2160p59.94.mp4 (3840x2160) [116.2 MB] || ", "hits": 135 }, { "id": 4813, "url": "https://svs.gsfc.nasa.gov/4813/", "result_type": "Visualization", "release_date": "2020-04-21T00:00:00-04:00", "title": "Earth Day 2020: Biosphere", "description": "Global Biosphere data from 1997 through 2017 with corresponding colorbars and date stamp.This video is also available on our YouTube channel. || earthday_bio_comp.0000_print.jpg (1024x576) [95.0 KB] || earthday_bio_comp.0000_searchweb.png (320x180) [51.5 KB] || earthday_bio_comp.0000_thm.png (80x40) [5.0 KB] || earthday_biosphere_composite (1920x1080) [0 Item(s)] || earthday_bio_comp_1080p30.webm (1920x1080) [17.9 MB] || earthday_bio_comp_1080p30.mp4 (1920x1080) [106.0 MB] || captions_silent.29351.en_US.srt [43 bytes] || earthday_bio_comp_1080p30.mp4.hwshow [191 bytes] || ", "hits": 45 }, { "id": 13262, "url": "https://svs.gsfc.nasa.gov/13262/", "result_type": "Produced Video", "release_date": "2019-07-22T11:00:00-04:00", "title": "NASA and NOAA Take to the Air to Chase Smoke", "description": "Music: Broad Horizons by Chris White [PRS]Complete transcript available. || Still.png (1773x995) [3.3 MB] || Still_print.jpg (1024x574) [163.4 KB] || Still_searchweb.png (320x180) [119.4 KB] || Still_thm.png (80x40) [7.0 KB] || TWITTER_720_13692_FIREExKickoff_twitter_720.mp4 (1280x720) [27.0 MB] || 13692_FIREExKickoff.webm (960x540) [44.5 MB] || 13262_FIREExKickoff.mov (1920x1080) [1.4 GB] || YOUTUBE_1080_13692_FIREExKickoff_youtube_1080.mp4 (1920x1080) [207.3 MB] || 13262_FIREEx.en_US.srt [2.9 KB] || 13262_FIREEx.en_US.vtt [2.9 KB] || ", "hits": 128 }, { "id": 4597, "url": "https://svs.gsfc.nasa.gov/4597/", "result_type": "Visualization", "release_date": "2017-11-16T15:00:00-05:00", "title": "Earth: Our Living Planet (Updated)", "description": "Twenty years of global biosphere data mapped on a slowly spinning globe. || slow_spin_4k.5542_print.jpg (1024x576) [83.1 KB] || slow_spin_4k.5542_searchweb.png (320x180) [48.3 KB] || slow_spin_4k.5542_thm.png (80x40) [4.4 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || slow_spin_1080p30.webm (1920x1080) [17.8 MB] || slow_spin_1080p30.mp4 (1920x1080) [119.2 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || slow_spin_4k.mp4 (3840x2160) [397.0 MB] || ", "hits": 65 }, { "id": 4596, "url": "https://svs.gsfc.nasa.gov/4596/", "result_type": "Visualization", "release_date": "2017-11-14T17:00:00-05:00", "title": "20 Years of Global Biosphere (updated)", "description": "This Mollweide projected data visualization shows 20 years of Earth's biosphere starting in September 1997 going through September 2017. Data for this visualization was collected from multiple satellites over the past twenty years. || biosphere7_mollweide.4507_print.jpg (576x1024) [192.2 KB] || biosphere7_mollweide.4507_searchweb.png (180x320) [91.0 KB] || biosphere7_mollweide.4507_thm.png (80x40) [7.4 KB] || mollweide_annotated (1920x1080) [0 Item(s)] || biosphere7_mollweide_1080p30.webm (1920x1080) [17.8 MB] || biosphere7_mollweide_1080p30.mp4 (1920x1080) [264.8 MB] || biosphere7_mollweide_1080p30.mp4.hwshow || ", "hits": 96 }, { "id": 4476, "url": "https://svs.gsfc.nasa.gov/4476/", "result_type": "Visualization", "release_date": "2016-07-28T18:00:00-04:00", "title": "Global Terrestrial Water Storage Anomaly (March 2015 - March 2016)", "description": "Animation showing Terrestrial Water Storage Anomaly (TWSA) data from March 2015 to March 2016. Shades of orange indicate areas with less ground water than normal and shades of blue are areas with more ground water than normal, which correlates to droughts and floods in these various regions. || globgrace2016.0365_print.jpg (1024x576) [154.1 KB] || globgrace2016.0365_searchweb.png (320x180) [67.2 KB] || globgrace2016.0365_thm.png (80x40) [6.2 KB] || globgrace2016_1080p30.mp4 (1920x1080) [5.8 MB] || globgrace2016_720p30.mp4 (1280x720) [3.2 MB] || dates (1920x1080) [0 Item(s)] || globgrace2016_1080p30.webm (1920x1080) [1.2 MB] || globgrace2016_2160p30.mp4 (3840x2160) [17.0 MB] || globgrace2016_360p30.mp4 (640x360) [1.1 MB] || example_composite (3840x2160) [0 Item(s)] || robinson_projection (3840x2160) [0 Item(s)] || globgrace2016_1080p30.mp4.hwshow [187 bytes] || ", "hits": 29 }, { "id": 4428, "url": "https://svs.gsfc.nasa.gov/4428/", "result_type": "Visualization", "release_date": "2016-02-19T00:00:00-05:00", "title": "2012 Mediterranean Drought", "description": "Print resolution image showing less than normal ground water saturation throughout the Mediteranean region on January 15, 2012. This image includes the date and colorbar overlay. || grace_med_comp.3666_print.jpg (1024x576) [172.1 KB] || grace_med_comp.3666_searchweb.png (320x180) [88.0 KB] || grace_med_comp.3666_thm.png (80x40) [13.9 KB] || grace_med_comp.3666.tif (3840x2160) [74.7 MB] || ", "hits": 5 }, { "id": 4413, "url": "https://svs.gsfc.nasa.gov/4413/", "result_type": "Visualization", "release_date": "2016-01-07T00:00:00-05:00", "title": "Sea Surface Temperature Anomaly and Terrestrial Water Storage Anomaly Comparison", "description": "Animation showing Sea Surface Temperature Anomaly (SSTA) and Terrestrial Water Storage Anomaly (TWSA) data from 2002 to 2015 simultaneously. For SSTA data, blues indicate temperatures lower than normal and reds are areas warmer than normal. With this data we can see the comings and goings of El Niño and La Niña across the years. For the TWSA data, browns indicate areas with less ground water than normal and greens are areas with more ground water than normal, which correlates to droughts and floods in these various regions. Furthermore, terrestrial areas that show significant amounts of low water storage are much more sensitive to wildfires. || grace_w_ssta_rob2.4991_print.jpg (1024x576) [133.2 KB] || grace_w_ssta_rob2.4991_searchweb.png (180x320) [91.1 KB] || grace_w_ssta_rob2.4991_thm.png (80x40) [7.7 KB] || grace_w_ssta_rob2_2x_1080p30.mp4 (1920x1080) [41.8 MB] || composite (1920x1080) [0 Item(s)] || robinson_projection (1920x1080) [0 Item(s)] || dates (1920x1080) [0 Item(s)] || grace_w_ssta_rob2_2x_1080p30.webm (1920x1080) [9.8 MB] || ", "hits": 34 }, { "id": 4415, "url": "https://svs.gsfc.nasa.gov/4415/", "result_type": "Visualization", "release_date": "2016-01-06T00:00:00-05:00", "title": "Terrestrial Water Storage Anomaly 2002 - 2015", "description": "Animation showing Terrestrial Water Storage Anomaly (TWSA) data from 2002 to 2015. Browns indicate areas with less ground water than normal and greens are areas with more ground water than normal, which correlates to droughts and floods in these various regions.This video is also available on our YouTube channel. || grace_anom_comp_v2.4991_print.jpg (1024x576) [124.4 KB] || grace_anom_comp_v2.4991_searchweb.png (320x180) [70.7 KB] || grace_anom_comp_v2.4991_thm.png (80x40) [6.3 KB] || grace_anom_comp_v2_2x_1080p30.mp4 (1920x1080) [25.8 MB] || grace_anom_comp_v2_2x_1080p30.webm (1920x1080) [8.7 MB] || composite (1920x1080) [0 Item(s)] || robinson_projection (1920x1080) [0 Item(s)] || dates (1920x1080) [0 Item(s)] || grace_anom_comp_v2_2x_1080p30.mp4.hwshow [195 bytes] || ", "hits": 59 }, { "id": 4092, "url": "https://svs.gsfc.nasa.gov/4092/", "result_type": "Visualization", "release_date": "2013-08-08T13:00:00-04:00", "title": "Mapping the Fire Intensity Record for the United States (2000 through 2013)", "description": "This visualization displays the MODIS Climate Modeling Grid (CMG) Mean Fire Radiative Power (FRP). The CMG fire products incorporate MODIS active fire data into gridded statistical summaries of fire pixel information intended for use in regional and global modeling. The products are currently generated at 0.5 degree spatial resolution. Many of the lower intensity fires shown in red were prescribed fires, lit for either agricultural or ecosystem management purposes. Orange indicates fires that were more intense with the most intense FRP being shown in yellow. Most of these intense fires occurred in the western United States, where lightning and human activity often sparks blazes that firefighters cannot contain. || ", "hits": 31 }, { "id": 4093, "url": "https://svs.gsfc.nasa.gov/4093/", "result_type": "Visualization", "release_date": "2013-08-08T13:00:00-04:00", "title": "Mapping the Fire Intensity Global Record (2000 through 2013)", "description": "This visualization displays the MODIS Climate Modeling Grid (CMG) Mean Fire Radiative Power (FRP). The CMG fire products incorporate MODIS active fire data into gridded statistical summaries of fire pixel information intended for use in regional and global modeling. The products are currently generated at 0.5 degree spatial resolution. Many of the lower intensity fires shown in red were prescribed fires, lit for either agricultural or ecosystem management purposes. Orange indicates fires that were more intense with the most intense FRP being shown in yellow. Notice, many of the most intense fires occurred in higher latitudes. || ", "hits": 40 }, { "id": 4055, "url": "https://svs.gsfc.nasa.gov/4055/", "result_type": "Visualization", "release_date": "2013-03-19T00:00:00-04:00", "title": "Seasonal Vegetation and Snow Change", "description": "To determine the density of green on a patch of land, researchers must observe the wavelengths of visible and near-infrared sunlight reflected by the plants. The pigment in plant leaves, chlorophyll, strongly absorbs visible light (from 0.4 um - 0.7 um). Vegetation strongly reflects near-infrared light (from 0.7 -1.0 um). The more healthy leaves a plant has, the more the the visible light will be absorbed and the near-infrared will be reflected. In this animation, dark green indicates dense, healthy vegetation, whereas beige areas represent bare soil. Snow from the MODIS instruments is overlaid on top. || ", "hits": 72 }, { "id": 4011, "url": "https://svs.gsfc.nasa.gov/4011/", "result_type": "Visualization", "release_date": "2012-11-28T00:00:00-05:00", "title": "United States Active Fires 2012", "description": "Records maintained by the National Interagency Fire Center (NIFC) and NASA both indicate that 2012 was an extraordinary year for wildfires in the United States.NIFC statistics show that more than 9.1 million acres had burned as of November 30, 2012—the third highest total in a record that dates back to 1960. Also notable: despite the high number of acres burned in 2012, the total number of fires—55,505—was low, the least on the NIFC record. Average fire size in 2012 was the highest on the record.The visualizations depict fires that burned between January 1 and October 31, 2012, as detected by the MODIS instruments. The fires are displayed over MODIS' vegetation and snow cover data. Yellow and orange indicates fires that were more intense and had a larger area of active burning. Most of these intense fires occurred in the western United States, where lightning and human activity often sparks blazes that firefighters cannot contain. Many of the lower intensity fires shown in red were prescribed fires, lit for either agricultural or ecosystem management purposes.The Terra and Aqua Moderate Resolution Imaging Spectrometer (MODIS) can routinely detect both flaming and smoldering fires that are aproximately 1000 square meters in size. Under pristine and extremely rare observing conditions even smaller flaming fires that are aproximately 50 square meters can be detected. Each active fire location represents the center of a 1 km pixel that is flagged by the algorithm as containing a fire within the pixel. For more information on the fire data, see the MODIS Collection 5 Active Fire Product User's Guide. For more information on the algorithm, see Giglio, L., J. Descloitres, C. O. Justice, and Y. J. Kaufman. 2003. An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment, 87:273-282 || ", "hits": 40 }, { "id": 3927, "url": "https://svs.gsfc.nasa.gov/3927/", "result_type": "Visualization", "release_date": "2012-06-07T12:00:00-04:00", "title": "ICESCAPE Mission Measures High Chlorophyll-a Under the Ice", "description": "ICESCAPE is a multi-year NASA mission to study biogeochemical and ecological impacts of climate change in the Chukchi and Beaufort Seas in the Arctic. During 2011, the ICESCAPE mission acquired data while sailing on the US Coast Guard Cutter Healy. This visualization shows both the technique used by the ICESCAPE mission to take data measurements as well as some of the data that was taken.The visualization shows the ICESCAPE ship's path through the Chukchi and Beaufort seas north of Alaska from July 3, 2011 through July 8, 2011. The ship stops and takes measurements along the way. The measurements are taken by canisters lowered to various depths that sample the water. The measurement depths range from 1.8 meters to 149.3 meters below sea level. The sets of measurements are broken into two transects. The first transect is the trip out into the ice. The second transect is the trip back. Topography (above sea level) is exaggerated 10 times. Bathymetry (below sea level) is exaggerated 200 times in order differentiate the measurements.The colors of the measurements (i.e,. stations) correspond to the color bar below which represent chlorophyll-a concentrations. Measurements that are depicted by spheres were acquired while the ship was in open water while measurements depicted by cubes were acquired when the ship was in ice. As data is collected, a wall of interpolated data is generated.An important finding of this research was that high concentrations of chlorophyll-a were found under the ice. || ", "hits": 27 }, { "id": 10634, "url": "https://svs.gsfc.nasa.gov/10634/", "result_type": "Produced Video", "release_date": "2010-09-07T00:00:00-04:00", "title": "Wildfire and Pine Beetles", "description": "Mountain pine beetles are native to Western forests, but in recent years their numbers have skyrocketed. As they damage more trees and kill whole regions of forest, some worry that the dead forest left behind has become a tinderbox ready to burn. But do pine beetles really increase fire risk?Using Landsat satellite data, University of Wisconsin forest ecologist Phil Townsend and his team are discovering that pine beetle damage appears not to have a significant impact in the risk of large fires. In fact, it might even reduce fire risk in some instances. || ", "hits": 21 }, { "id": 3764, "url": "https://svs.gsfc.nasa.gov/3764/", "result_type": "Visualization", "release_date": "2010-08-19T14:00:00-04:00", "title": "How Much Carbon do Plants Take from the Atmosphere?", "description": "Plant life converts atmospheric carbon dioxide into biomass through photosynthesis, a process called 'fixing'. This is one of the main ways in which carbon dioxide is removed from the atmosphere and is a major part of the carbon cycle. The amount of carbon removed is called the gross primary productivity (GPP), and the change in GPP due to rising global temperatures is very important factor in the response of the Earth to climate change.Data from the MODIS instrument on NASA's Terra satellite has been recently used to calculate the GPP for the whole world for the last 10 years. This animation shows a time sequence of GPP on land as measured by MODIS during the years 2000 through 2009. Two things to note are the year-long productivity of the tropical regions and the large seasonal productivity in the northern hemisphere. A close look at the animation also reveals major urban areas for which the productivity is negligible.For a look at why the decade from 2000 through 2009 meant lower productivity, see the page 'How has the Atmospheric Carbon Uptake from Plants Changed in the Last Decade?' || ", "hits": 290 }, { "id": 3765, "url": "https://svs.gsfc.nasa.gov/3765/", "result_type": "Visualization", "release_date": "2010-08-19T14:00:00-04:00", "title": "How has the Atmospheric Carbon Uptake from Plants Changed in the Last Decade?", "description": "Plant life converts atmospheric carbon dioxide into biomass through photosynthesis. This process, called fixing, is one of the main ways in which carbon dioxide is removed from the atmosphere and is a major part of the carbon cycle. Plants release a fraction of this fixed carbon by respiration in order to get energy to live and to move carbon to other organs. The amount of carbon removed minus the amount of carbon respired is called the net primary productivity (NPP) and is the amount of carbon turned into biomass.The change in NPP due to rising global temperatures is a very important factor in the response of the Earth to climate change. Measurements of radiation and leaf area from the MODIS instrument on NASA's Terra satellite have recently been used to calculate the change in NPP for the whole world for the last 10 years. This animation shows a time sequence of annual NPP deviation from normal (or 'anomaly') on land as measured by MODIS during the years 2000 through 2009. Annual NPP, especially its departures from a long-term mean condition, will demonstrate the effects of environmental drivers such as ENSO (El Niño) events, climate change, droughts, pollution episodes, land degradation, and agricultural expansion.Earlier studies of productivity between 1982 and 1999 showed that prouctivity went up as global temperatures rose, because longer, warmer growing seasons were better for plant growth. This new study indicates that this is still true in the northern hemisphere, but that increased temperatures have meant increased drought and dryness in the tropics and the southern hemisphere. As a result, the global net productivity has actually decreased in the period from 2000 through 2009.Regionally, negative annual NPP anomalies were mainly caused by large-scale droughts. In 2000, droughts reduced NPP in North America and China; in 2002, droughts reduced NPP in North America and Australia; in 2003, drought caused by a major heat wave reduced NPP in Europe; in 2005, severe droughts in the Amazon, Africa, and Australia greatly reduced both regional and global NPP; from 2007 through 2009 over large parts of Australia, continuous droughts reduced continental NPP.For an animation of daily productivity, see the page How Much Carbon do Plants Take from the Atmosphere?. || ", "hits": 124 }, { "id": 10630, "url": "https://svs.gsfc.nasa.gov/10630/", "result_type": "Produced Video", "release_date": "2010-08-19T14:00:00-04:00", "title": "Plant Productivity in a Warming World", "description": "The past decade is the warmest on record since instrumental measurements began in the 1880s. Previous research suggested that in the '80s and '90s, warmer global temperatures and higher levels of precipitation — factors associated with climate change — were generally good for plant productivity. An updated analysis published this week in Science indicates that as temperatures have continued to rise, the benefits to plants are now overwhelmed by longer and more frequent droughts. High-resolution data from the Moderate Resolution Imaging Spectroradiometer, or MODIS, indicate a net decrease in NPP from 2000-2009, as compared to the previous two decades. || ", "hits": 20 }, { "id": 10497, "url": "https://svs.gsfc.nasa.gov/10497/", "result_type": "Produced Video", "release_date": "2009-10-12T00:00:00-04:00", "title": "The Ocean's Green Machines", "description": "One tiny marine plant makes life on Earth possible: phytoplankton. These microscopic photosynthetic drifters form the basis of the marine food web, they regulate carbon in the atmosphere, and are responsible for half of the photosynthesis that takes place on this planet. Earth's climate is changing at an unprecedented rate, and as our home planet warms, so does the ocean. Warming waters have big consequences for phytoplankton and for the planet. For complete transcript, click here. || Oceans_Green_Machines_640x480_ESWpage.00427_print.jpg (1024x576) [65.8 KB] || Oceans_Green_Machines_640x480_ESWpage_web.png (320x180) [135.9 KB] || Oceans_Green_Machines_640x480_ESWpage_thm.png (80x40) [15.0 KB] || Oceans_Green_Machines_AppleTV.webmhd.webm (960x540) [80.8 MB] || Oceans_Green_Machines_1280x720_ProRes.mov (1280x720) [4.9 GB] || Oceans_Green_Machines_1280x720_H264.mov (1280x720) [176.1 MB] || Oceans_Green_Machines_1280x720_ESWpage.mp4 (1280x720) [115.8 MB] || Oceans_Green_Machines_AppleTV.m4v (960x540) [195.1 MB] || Oceans_Green_Machines_640x360_ipod.m4v (640x360) [62.2 MB] || Oceans_Green_Machines_640x480_ESWpage.mp4 (640x360) [62.2 MB] || Oceans_Green_Machines_512x288.mpg (512x288) [113.3 MB] || Oceans_Green_Machines_320x180.mp4 (320x180) [27.7 MB] || Oceans_Green_Machines.wmv (320x176) [37.8 MB] || ", "hits": 79 }, { "id": 10498, "url": "https://svs.gsfc.nasa.gov/10498/", "result_type": "Produced Video", "release_date": "2009-10-12T00:00:00-04:00", "title": "Keeping Up With Carbon", "description": "Carbon is all around us. This unique atom is the basic building block of life, and its compounds form solids, liquids, or gases. Carbon helps form the bodies of living organisms; it dissolves in the ocean; mixes in the atmosphere; and can be stored in the crust of the planet. A carbon atom could spend millions of years moving through this complex cycle. The ocean plays the most critical role in regulating Earth's carbon balance, and understanding how the carbon cycle is changing is key to understanding Earth's changing climate. For complete transcript, click here. || Keeping_Up_with_Carbon_640x360_ESWpage.00577_print.jpg (1024x576) [71.2 KB] || Keeping_Up_with_Carbon_640x360_ESWpage_web.png (320x180) [128.6 KB] || Keeping_Up_with_Carbon_640x360_ESWpage_thm.png (80x40) [13.9 KB] || Keeping_Up_with_Carbon_AppleTV.webmhd.webm (960x540) [84.1 MB] || Keeping_Up_with_Carbon_1280x720_ProRes.mov (1280x720) [5.1 GB] || Keeping_Up_with_Carbon_1280x720_H264.mov (1280x720) [159.3 MB] || Keeping_Up_with_Carbon_1280x720_ESWpage.mp4 (1280x720) [133.5 MB] || Keeping_Up_with_Carbon_AppleTV.m4v (960x540) [201.6 MB] || Keeping_Up_with_Carbon_640x360_ipod.m4v (640x360) [63.2 MB] || Keeping_Up_with_Carbon_640x360_ESWpage.mp4 (640x360) [63.2 MB] || Keeping_Up_with_Carbon_512x288.mpg (512x288) [123.9 MB] || Keeping_Up_with_Carbon_320x180.mp4 (320x180) [26.0 MB] || Keeping_Up_with_Carbon.wmv (320x176) [39.0 MB] || ", "hits": 168 }, { "id": 10495, "url": "https://svs.gsfc.nasa.gov/10495/", "result_type": "Produced Video", "release_date": "2009-10-09T00:00:00-04:00", "title": "Marine Food Web", "description": "This conceptual animation illustrates some of the ecological pathways between species within the marine ecosystem. Single-celled microscopic plants called phytoplankton float in the upper ocean. These photosynthetic plants form the foundation of the marine food web, and nearly all life in the ocean depend upon them for survival, including microscopic zooplankton and whales. || foodweb_0701.00702_print.jpg (1024x563) [49.3 KB] || foodweb_0701_web.png (320x180) [162.0 KB] || foodweb_0701_thm.png (80x40) [11.1 KB] || MarineFoodWeb_appletv.webmhd.webm (960x540) [3.8 MB] || 1280x720_16x9_30p (1280x720) [32.0 KB] || MarineFoodWeb_appletv.m4v (960x540) [9.7 MB] || MarineFoodWeb_h264.mov (1280x720) [12.3 MB] || MarineFoodWeb_prores.mov (1280x720) [436.5 MB] || MarineFoodWeb_ipod.m4v (640x360) [5.3 MB] || foodweb.mp4 (320x176) [3.7 MB] || ", "hits": 108 }, { "id": 3454, "url": "https://svs.gsfc.nasa.gov/3454/", "result_type": "Visualization", "release_date": "2007-11-05T00:00:00-05:00", "title": "SeaWiFS Biosphere Data over the North Pacific", "description": "The SeaWiFS instrument aboard the Seastar satellite has been collecting ocean data since 1997. 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. This animation represents nearly a decade's worth of data taken by the SeaWiFS instrument, showing the abundance of life in the sea. Dark blue represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land. || ", "hits": 10 }, { "id": 3471, "url": "https://svs.gsfc.nasa.gov/3471/", "result_type": "Visualization", "release_date": "2007-10-05T00:00:00-04:00", "title": "SeaWiFS Biosphere Data over the North Pacific (Slow Version)", "description": "The SeaWiFS instrument aboard the Seastar satellite has been collecting ocean data since 1997. 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. This animation represents nearly a decade's worth of data taken by the SeaWiFS instrument, showing the abundance of life in the sea. Dark blue represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land.This animation is essentially the same as animation #3454 with a few minor changes and runs at a slower speed. || ", "hits": 12 }, { "id": 3494, "url": "https://svs.gsfc.nasa.gov/3494/", "result_type": "Visualization", "release_date": "2007-10-05T00:00:00-04:00", "title": "SeaWiFS Biosphere Data over Australia", "description": "The SeaWiFS instrument aboard the Seastar satellite has been collecting ocean data since 1997. 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. This animation represents nearly a decade's worth of data taken by the SeaWiFS instrument, showing the abundance of life in the sea. Dark blue represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land. || ", "hits": 11 }, { "id": 3459, "url": "https://svs.gsfc.nasa.gov/3459/", "result_type": "Visualization", "release_date": "2007-09-15T00:00:00-04:00", "title": "Multivariate ENSO Index Correlation with Ocean Net Primary Production Data over the North Atlantic", "description": "The SeaWiFS instrument aboard the Seastar satellite has been collecting ocean data since 1997. A check up of the Earth's planetary health reveals that the lowest rung in the ocean food chain is shrinking. For the past 20 years (early 1980s to present), phytoplankton concentrations declined as much as 30 percent in northern oceans. Scientists from NASA, the National Oceanic and Atmospheric Administration (NOAA), and Oregon State University say warmer ocean temperatures and low winds may be depriving the tiny ocean plants of necessary nutrients. However, they still do not know if the loss of phytoplankton is a long-term trend or a climate oscillation. Scientists can monitor ocean and planetary health through phytoplankton. Since the whole ocean food chain depends on the health and productivity of phytoplankton, a significant change could indicate a shift in our climate. Phytoplankton consists of many diverse species of microscopic free-floating ocean plants that form the base of the ocean's food chain. These plants thrive on sunlight and nutrients. Limit either one and phytoplankton will not grow. This animation shows the Multivariate ENSO Index (MEI) in red and the net primary production NPP anomaly in units of Tgrams carbon per month in green. The MEI is a multivariate index that incorporates sea level pressure, surface zonal and meridional wind components, sea surface temperature, surface air temperature, and cloudiness (Wolter and Timlin, 1998). The MEI index is calculated for the tropical Pacific (i.e., between 10 degrees North and 10 degrees South, from Asia to the Americas) with units of kg m-3. The Net Primary Production (NPP) data was generated from the Vertically Generalized Production Model (VGPM). The VGPM data set is available at the following URL: http://web.science.oregonstate.eduocean.productivity/ . As the sea surface temperature warms, the production levels decrease. || ", "hits": 61 }, { "id": 3387, "url": "https://svs.gsfc.nasa.gov/3387/", "result_type": "Visualization", "release_date": "2006-12-05T00:00:00-05:00", "title": "SeaWiFS Biosphere from 1997 to 2006", "description": "The SeaWiFS instrument aboard the Seastar satellite has been collecting ocean data since 1997. 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. This animation represents nearly a decade's worth of data taken by the SeaWiFS instrument, showing the abundance of life in the sea. Dark blue represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land. A recent study indicates there is a correlation between this ocean nutrients and changes in sea surface temperature (SST). The results show that when SSTs warm, marine plant life in the form of microscopic phytoplankton declines. When SSTs cool, marine plant life flourishes. Changes in phytoplankton growth influence fishery yields and the amount of carbon dioxide the oceans remove from the atmosphere. This could have major implications on the future of our ocean's food web and how it relates to climate change. Once the animation pulls out to a full global view, the remaining animation can be compared to the 'MODIS Sea Surface Temperature from 2002 to 2006' animation. || ", "hits": 15 }, { "id": 3388, "url": "https://svs.gsfc.nasa.gov/3388/", "result_type": "Visualization", "release_date": "2006-12-05T00:00:00-05:00", "title": "MODIS Sea Surface Temperature from 2002 to 2006", "description": "A recent study indicates there is a correlation between ocean nutrients and changes in sea surface temperature (SST). The results show that when ocean water warms, marine plant life in the form of microscopic phytoplankton tend to decline. When water cools, plant life flourishes. Changes in phytoplankton growth influence fishery yields and the amount of carbon dioxide the oceans remove from the atmosphere. This could have major implications on the future of our ocean's food web and how it relates to climate change.The temperature data in this visualization comes from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA's Terra and Aqua spacecraft.In order to see the correlation between SST and SeaWiFS data, this animation can be compared to the latter part of the 'SeaWiFS Biosphere from 1997 to 2006' animation. || ", "hits": 20 }, { "id": 3389, "url": "https://svs.gsfc.nasa.gov/3389/", "result_type": "Visualization", "release_date": "2006-12-05T00:00:00-05:00", "title": "MODIS Sea Surface Temperature Highlighting the Gulf Stream (2002 to 2006)", "description": "A recent study indicates a correlation between ocean nutrients and changes sea surface temperature (SST). The results show that when SSTs warm, marine plant life in the form of microscopic phytoplankton declines. Similarly, when SSTs cool, marine plant life seems to flourish. Changes in phytoplankton growth influence fishery yields and the amount of carbon dioxide the oceans remove from the atmosphere. This could have major implications on the future of our ocean's food web and how it relates to climate change.The temperature data in this visualization comes from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA's Terra and Aqua spacecraft. || ", "hits": 14 }, { "id": 3450, "url": "https://svs.gsfc.nasa.gov/3450/", "result_type": "Visualization", "release_date": "2006-12-05T00:00:00-05:00", "title": "SeaWiFS Biosphere Data over the North Atlantic", "description": "The SeaWiFS instrument aboard the Seastar satellite has been collecting ocean data since 1997. 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. This animation represents nearly a decade's worth of data taken by the SeaWiFS instrument, showing the abundance of life in the sea. Dark blue represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land. || ", "hits": 46 }, { "id": 3468, "url": "https://svs.gsfc.nasa.gov/3468/", "result_type": "Visualization", "release_date": "2006-12-05T00:00:00-05:00", "title": "SeaWiFS Biosphere Data over the North Atlantic (Slow Version)", "description": "The SeaWiFS instrument aboard the Seastar satellite has been collecting ocean data since 1997. 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. This animation represents nearly a decade's worth of data taken by the SeaWiFS instrument, showing the abundance of life in the sea. Dark blue represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land.This animation is essentially the same as animation #3450 with a few minor changes and runs at half the speed. || ", "hits": 7 }, { "id": 3510, "url": "https://svs.gsfc.nasa.gov/3510/", "result_type": "Visualization", "release_date": "2006-12-05T00:00:00-05:00", "title": "MODIS Sea Surface Temperature from 2002 to 2006 around Australia", "description": "A recent study indicates there is a correlation between ocean nutrients and changes in sea surface temperature (SST). The results show that when ocean water warms, marine plant life in the form of microscopic phytoplankton tend to decline. When water cools, plant life flourishes. Changes in phytoplankton growth influence fishery yields and the amount of carbon dioxide the oceans remove from the atmosphere. This could have major implications on the future of our ocean's food web and how it relates to climate change.The temperature data in this visualization comes from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA's Terra and Aqua spacecraft.In order to see the correlation between SST and SeaWiFS data, this animation can be compared to 'SeaWiFS Biosphere Data over Australia'. Please click here to see this other animation. || ", "hits": 7 }, { "id": 3599, "url": "https://svs.gsfc.nasa.gov/3599/", "result_type": "Visualization", "release_date": "2006-12-05T00:00:00-05:00", "title": "Phytoplankton Blooms through the Eyes of SeaWiFS Data", "description": "The SeaWiFS instrument aboard the Seastar satellite has been collecting ocean data since 1997. 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. This animation represents nearly a decade's worth of data taken by the SeaWiFS instrument, showing the abundance of life in the sea. Dark blue represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land. Dark gray indicate areas where no data was collected. || ", "hits": 20 }, { "id": 2914, "url": "https://svs.gsfc.nasa.gov/2914/", "result_type": "Visualization", "release_date": "2004-06-17T12:00:00-04:00", "title": "Global Biosphere from August, 1997 to July, 2003 (WMS)", "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. This animation represents the first six years' worth of data taken by the SeaWiFS instrument, showing the abundance of life both on land and in the sea. In the ocean, dark blue represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land. On land, green represents areas of abundant plant life, such as forests and grasslands, while tan and white represent areas where plant life is sparse or non-existent, such as the deserts in Africa and the Middle East and snow-cover and ice at the poles. || ", "hits": 19 }, { "id": 2913, "url": "https://svs.gsfc.nasa.gov/2913/", "result_type": "Visualization", "release_date": "2004-02-13T12:00:00-05:00", "title": "Life Returns to the Galapagos after El Niño (WMS)", "description": "During the El Niño in 1997 and 1998, the surface water in the eastern equatorial Pacific off the coast of South America was warmer than normal. This warm water trapped the ocean nutrients that normally come to the surface in the upwelling cold water, leading to a drastic decrease in phytonplankton and other ocean life in the region. The unique Galapagos ecosystem was severely affected and many species, including sea lions, seabirds, and barracudas, suffered a very high mortality level. During the second week of May, 1998, the ocean temperatures plummeted 10 degrees in one day, and the ocean productivity exploded with large phytoplankton blooms. After this time, many species recovered very rapidly and the land species started to reproduce immediately. The SeaWiFS instrument, which monitors global phytoplankton in the oceans by measuring the color of reflected light, caught this dramatic recovery. This visualization shws images from SeaWiFS starting on May 10, 1998 and ending on May 31, 1998, where ocean colors of blue or purple represents little or no ocean life and colors or yellow and red indicate significant ocean productivity. White and gray denote areas occluded by clouds in these images, and a relief image of the Galapagos Islands has been superimposed on the images to clarify the location of the islands. || ", "hits": 26 }, { "id": 2497, "url": "https://svs.gsfc.nasa.gov/2497/", "result_type": "Visualization", "release_date": "2002-08-08T12:00:00-04:00", "title": "Decadal Comparison of Plankton Levels", "description": "The global ocean chlorophyll archive produced by the CZCS was revised using compatible algorithms with SeaWiFS. Both archives were then blended with in situ data to reduce residual errors. This methodology permitted a quantitative comparison of decadal changes in global ocean chlorophyll from the CZCS (1979 - 1986) and SeaWiFS (1997 - 2000) records. Global spatial distributions and seasonal variablility of ocean chlorophyll were similar, but global means decreased over the two observational segments. Major changes were observed regionally: chlorophyll concentrations decreased in the northern high latitudes while chlorophyll in the low latitudes increased. Mid-ocean gyres exhibited limited changes. The overall spatial and seasonal similarity of the two data records suggests that the changes are due to natural variability. These results provide evidence of how the Earth's climate may be changing and how ocean biota respond. || ", "hits": 14 }, { "id": 2288, "url": "https://svs.gsfc.nasa.gov/2288/", "result_type": "Visualization", "release_date": "2001-12-10T12:00:00-05:00", "title": "Missing Link in Carbon Sink Found in Northern Forests: Three Years of Biosphere Data, Spinning Globe", "description": "Using the Biosphere SeaWiFS Globe to help visualize the Carbon Sink Release. || Using the Biosphere SeaWiFS Globe to visualizethe carbon sink story. The Oceans are masked out to help see the land better. || a002288.00005_print.png (720x480) [303.4 KB] || a002288_pre.jpg (320x240) [5.9 KB] || a002288.webmhd.webm (960x540) [7.6 MB] || a002288.dv (720x480) [221.3 MB] || a002288.mpg (320x240) [1.2 MB] || ", "hits": 9 }, { "id": 2289, "url": "https://svs.gsfc.nasa.gov/2289/", "result_type": "Visualization", "release_date": "2001-12-10T12:00:00-05:00", "title": "Missing Link in Carbon Sink found in Northern Forests: Three Years of Biosphere Data, North America focus", "description": "Using the Biosphere SeaWiFS Globe to help visualize the Carbon Sink Release. || This animation shows our planet pulsate withlife. The Carbon Sink Animation uses three years of data of the Biosphere,focused on North America. || a002289.00005_print.png (720x480) [311.4 KB] || a002289.00860_print.png (720x480) [310.9 KB] || a002289_pre.jpg (320x240) [5.9 KB] || a002289.webmhd.webm (960x540) [4.2 MB] || a002289.dv (720x480) [124.7 MB] || a002289.mpg (320x240) [3.8 MB] || ", "hits": 13 }, { "id": 2290, "url": "https://svs.gsfc.nasa.gov/2290/", "result_type": "Visualization", "release_date": "2001-12-10T12:00:00-05:00", "title": "Missing Link in Carbon Sink found in Northern Forests: Three Years of Biosphere Data, Europe and Asia focus", "description": "Using the Biosphere SeaWiFS Globe to help visualize the Carbon Sink Release. || This visualization uses the three years of data of theBiosphere, focused on Europe and Asia || a002290.00100_print.png (720x480) [296.9 KB] || a002290.00960_print.png (720x480) [375.1 KB] || a002290_pre.jpg (320x240) [6.1 KB] || a002290.webmhd.webm (960x540) [6.6 MB] || a002290.dv (720x480) [166.7 MB] || a002290.mpg (320x240) [3.3 MB] || ", "hits": 14 }, { "id": 2210, "url": "https://svs.gsfc.nasa.gov/2210/", "result_type": "Visualization", "release_date": "2001-08-02T12:00:00-04:00", "title": "Landsat Witnesses the Destruction of Mesopotamian Ecosystem", "description": "In one of the greatest ecological disasters of our time, the ancient marshlands of Mesopotamia are systematically being converted to dry salt flats as a result of human mismanagement of the region's water resources.Landsat satellite imagery reveals that in the last 10 years, wetlands that once covered as much as 20,000 square km in parts of Iraq and Iran have been reduced to a small fraction of their original size. The authors of a new report released by the United Nations Environment Programme (UNEP) at the 11th Stockholm Water Symposium on August 13, 2001, warn that the marshlands could completely disappear within the next 3-5 years unless dramatic steps are taken immediately to reverse the damage being done.The UNEP Executive Director described the wetlands' condition as 'a major environmental catastrophe that will be remembered as one of humanity's worst engineered disasters.' He noted that 'the tragic loss of this rare wetland has occurred in approximately the same period since world leaders pledged to safeguard the environment at the United Nations Conference on Environment and Development (the Earth Summit) held in Rio de Janeiro in 1992.' Regarded by historians as one of the cradles of civilization, the Mesopotamian Fertile Crescent has supported Marsh Arab society for millennia. But through the damming and siphoning off of waters from the Tigris and Euphrates Rivers, the countries of Iran, Iraq, Turkey, and Syria have decimated the ecosystem and, with it, a culture rooted in the dawn of human history (dating back to ancient Sumeria about 5,000 years ago). || ", "hits": 50 }, { "id": 2176, "url": "https://svs.gsfc.nasa.gov/2176/", "result_type": "Visualization", "release_date": "2001-06-12T12:00:00-04:00", "title": "Impervious Surface Cover: Paved Areas in DC and Baltimore", "description": "A special algorithm has been applied to the Landsat 7 image to illuminate the changes in low-density residential land use which exemplify sprawl.There is a link between impervious surfaces within a watershed, (here we see a subset of the Chesapeake Bay watershed area) and the water quality within the watershed. In general, once 10-15 % of an area is covered by impervious surfaces, increased sediments and chemical pollutants in runoff have a measurable effect on water quality. When 15-25% of a watershed is paved or impervious to drainage, increased runoff leads to reduced oxygen levels and impaired stream life. When more then 25% of surfaces are paved, many types of stream life die from the concentrated runoff and sediments. || ", "hits": 7 }, { "id": 2177, "url": "https://svs.gsfc.nasa.gov/2177/", "result_type": "Visualization", "release_date": "2001-06-12T12:00:00-04:00", "title": "Impervious Surface Cover: Non-Paved Areas", "description": "A special algorithm has been applied to the Landsat 7 image to illuminate the changes in low-density residential land use which exemplify sprawl.There is a link between impervious surfaces within a watershed, (here we see a subset of the Chesapeake Bay watershed area) and the water quality within the watershed. In general, once 10-15 % of an area is covered by impervious surfaces, increased sediments and chemical pollutants in runoff have a measurable effect on water quality. When 15-25% of a watershed is paved or impervious to drainage, increased runoff leads to reduced oxygen levels and impaired stream life. When more then 25% of surfaces are paved, many types of stream life die from the concentrated runoff and sediments. || ", "hits": 11 }, { "id": 2178, "url": "https://svs.gsfc.nasa.gov/2178/", "result_type": "Visualization", "release_date": "2001-06-12T12:00:00-04:00", "title": "Impervious Surface Cover: Full Graph of DC and Baltimore", "description": "Here we see an image of the Baltimore/D.C. area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. || ", "hits": 8 }, { "id": 2179, "url": "https://svs.gsfc.nasa.gov/2179/", "result_type": "Visualization", "release_date": "2001-06-12T12:00:00-04:00", "title": "Impervious Surface Cover: Close Up of DC", "description": "Here we see an image of the DC area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. || ", "hits": 10 }, { "id": 2180, "url": "https://svs.gsfc.nasa.gov/2180/", "result_type": "Visualization", "release_date": "2001-06-12T12:00:00-04:00", "title": "Impervious Surface Cover: Close Up of Baltimore", "description": "Here we see an image of the Baltimore area taken with the Landsat satellite on March 27, 1998. For over 26 years, Landsat images have been used to help urban planners understand where growth is taking place and help geographers evaluate how different urban planning programs effect population growth and land use. || ", "hits": 202 }, { "id": 2076, "url": "https://svs.gsfc.nasa.gov/2076/", "result_type": "Visualization", "release_date": "2001-03-12T12:00:00-05:00", "title": "SeaWiFS Views the Whole World with Three Years of Data", "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": 15 }, { "id": 2082, "url": "https://svs.gsfc.nasa.gov/2082/", "result_type": "Visualization", "release_date": "2001-03-12T12:00:00-05:00", "title": "SeaWiFS Land Views on a Globe", "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": 6 }, { "id": 883, "url": "https://svs.gsfc.nasa.gov/883/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Phoenix With Terrain, x 3 Exaggeration", "description": "These scenes show Phoenix, Arizona as seen by the Landsat Thematic Mapper (TM) instrument. The shortwave infrared (TM band 5), infrared (TM band 4), and visible green (TM band 2) channels are displayed in the images as red, green, and blue respectively. In this combination, barren and/or recently cultivated land appears red to pink, vegetation appears green, water is dark blue, and artificial structures of concrete and asphalt appear dark gray or black.The Landsat image has been combined with digital elevation model data to show terrain. The terrain has been vertically exaggerated by a factor of three to emphasize elevation information. || ", "hits": 38 }, { "id": 884, "url": "https://svs.gsfc.nasa.gov/884/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area", "description": "1973 - 1985 = Red; 1985 - 1990 = Yellow; 1990 - 1996 = Blue || A animation of regions of urban growth in the Washington metropolitan area from 1973 to 1996 || a000884.00010_print.png (720x480) [455.2 KB] || a000884_pre.jpg (320x238) [7.5 KB] || a000884_thm.png (80x40) [4.7 KB] || a000884_pre_searchweb.jpg (320x180) [52.2 KB] || a000884.webmhd.webm (960x540) [4.1 MB] || a000884.dv (720x480) [67.9 MB] || a000884.mp4 (640x480) [3.7 MB] || a000884.mpg (352x240) [2.6 MB] || ", "hits": 37 }, { "id": 885, "url": "https://svs.gsfc.nasa.gov/885/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area: Dulles, VA", "description": "1973 - 1985 = Red; 1985 - 1990 = Yellow; 1990 - 1996 = Blue || A animation of urban growth in the area around Dulles Airport from 1973 to 1996 || a000885.00010_print.png (720x480) [511.8 KB] || a000885_thm.png (80x40) [5.1 KB] || a000885_pre.jpg (320x238) [9.1 KB] || a000885_pre_searchweb.jpg (320x180) [63.4 KB] || a000885.webmhd.webm (960x540) [5.3 MB] || a000885.dv (720x480) [73.9 MB] || a000885.mp4 (640x480) [4.1 MB] || a000885.mpg (352x240) [2.8 MB] || ", "hits": 39 }, { "id": 886, "url": "https://svs.gsfc.nasa.gov/886/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area: Rockville, MD", "description": "1973 - 1985 = Red; 1985 - 1990 = Yellow; 1990 - 1996 = Blue || An animation or urban growth around Rockville, Maryland, from 1973 to 1996 || a000886.00010_print.png (720x480) [513.7 KB] || a000886_pre.jpg (320x238) [9.0 KB] || a000886_thm.png (80x40) [5.1 KB] || a000886_pre_searchweb.jpg (320x180) [64.0 KB] || a000886.webmhd.webm (960x540) [5.9 MB] || a000886.dv (720x480) [80.0 MB] || a000886.mp4 (640x480) [4.4 MB] || a000886.mpg (352x240) [3.0 MB] || ", "hits": 30 }, { "id": 887, "url": "https://svs.gsfc.nasa.gov/887/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area: Laurel, MD", "description": "1973 - 1985 = Red; 1985 - 1990 = Yellow; 1990 - 1996 = Blue || An animation of urban growth around Laurel, Maryland, from 1973 to 1996 || a000887.00010_print.png (720x480) [521.6 KB] || a000887_pre.jpg (320x238) [9.0 KB] || a000887_thm.png (80x40) [5.1 KB] || a000887_pre_searchweb.jpg (320x180) [63.7 KB] || a000887.webmhd.webm (960x540) [5.7 MB] || a000887.dv (720x480) [74.0 MB] || a000887.mp4 (640x480) [3.9 MB] || a000887.mpg (352x240) [2.8 MB] || ", "hits": 32 }, { "id": 888, "url": "https://svs.gsfc.nasa.gov/888/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area: Largo, MD", "description": "1973 - 1985 = Red; 1985 - 1990 = Yellow; 1990 - 1996 = Blue || An animation of urban growth around Largo, Maryland, from 1973 to 1996 || a000888.00630_print.png (720x480) [720.3 KB] || a000888_pre.jpg (320x238) [9.2 KB] || a000888_thm.png (80x40) [5.1 KB] || a000888_pre_searchweb.jpg (320x180) [63.6 KB] || a000888.webmhd.webm (960x540) [6.1 MB] || a000888.dv (720x480) [73.8 MB] || a000888.mp4 (640x480) [4.0 MB] || a000888.mpg (352x240) [2.7 MB] || ", "hits": 34 }, { "id": 889, "url": "https://svs.gsfc.nasa.gov/889/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area: Waldorf, MD", "description": "1973 - 1985 = Red; 1985 - 1990 = Yellow; 1990 - 1996 = Blue || An animation of urban growth around Waldorf, Maryland, from 1973 to 1996 || a000889_thm.png (80x40) [5.1 KB] || a000889_pre.jpg (320x238) [9.1 KB] || a000889_pre_searchweb.jpg (320x180) [63.2 KB] || preview_made_from_dv.00010_print.png (352x240) [141.8 KB] || a000889.webmhd.webm (960x540) [1.4 MB] || a000889.mpg (352x240) [3.1 MB] || ", "hits": 37 }, { "id": 890, "url": "https://svs.gsfc.nasa.gov/890/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area: Alexandria, VA", "description": "1973 - 1985 = Red; 1985 - 1990 = Yellow; 1990 - 1996 = Blue || An animation of urban growth around Alexandria, Virginia, from 1973 to 1996 || a000890_thm.png (80x40) [5.1 KB] || a000890_pre.jpg (320x238) [9.0 KB] || a000890_pre_searchweb.jpg (320x180) [62.6 KB] || preview_made_from_dv.00010_print.png (352x240) [141.4 KB] || a000890.webmhd.webm (960x540) [1.5 MB] || a000890.mpg (352x240) [2.9 MB] || ", "hits": 31 }, { "id": 891, "url": "https://svs.gsfc.nasa.gov/891/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area: Annandale, VA", "description": "1973 - 1985 = Red; 1985 - 1990 = Yellow; 1990 - 1996 = Blue || An animation of urban growth around Annandale, Virginia, from 1973 to 1996 || a000891_thm.png (80x40) [5.1 KB] || a000891_pre.jpg (320x238) [9.0 KB] || a000891_pre_searchweb.jpg (320x180) [63.2 KB] || preview_made_from_dv.00010_print.png (352x240) [140.9 KB] || a000891.webmhd.webm (960x540) [1.9 MB] || a000891.mpg (352x240) [2.9 MB] || ", "hits": 35 }, { "id": 893, "url": "https://svs.gsfc.nasa.gov/893/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Shanghai, dissolve from 1986 to Feb 1998", "description": "A animation of urban changes in Shanghai, dissolving between Landsat imagery from 1986 and 1998 || a000893_thm.png (80x40) [4.2 KB] || a000893_pre.jpg (320x238) [5.3 KB] || a000893_pre_searchweb.jpg (320x180) [37.0 KB] || preview_made_from_dv.00010_print.png (352x240) [88.9 KB] || a000893.webmhd.webm (960x540) [341.4 KB] || a000893.mpg (352x240) [2.5 MB] || ", "hits": 8 }, { "id": 894, "url": "https://svs.gsfc.nasa.gov/894/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area: Gray Scheme", "description": "Urban growth of Washington DC and surrounding suburbs from 1973 to 1996 || a000894_thm.png (80x40) [5.1 KB] || a000894_pre.jpg (320x238) [9.1 KB] || a000894_pre_searchweb.jpg (320x180) [63.8 KB] || preview_made_from_dv.00010_print.png (352x240) [141.0 KB] || a000894.webmhd.webm (960x540) [792.4 KB] || a000894.mpg (352x240) [2.9 MB] || For More Information || See [http://svs.gsfc.nasa.gov/stories/Landsat/dc_growth.html](http://svs.gsfc.nasa.gov/stories/Landsat/dc_growth.html) || ", "hits": 6 }, { "id": 895, "url": "https://svs.gsfc.nasa.gov/895/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area: Alternate Color Scheme", "description": "1973 - 1985 = Red; 1985 - 1990 = Orange; 1990 - 1996 = Yellow || Urban growth of Washington, D.C. and its suburbs from 1973 to 1996. || dc_growth_pre.jpg (320x240) [9.8 KB] || a000895_thm.png (80x40) [5.1 KB] || a000895_pre.jpg (320x238) [9.1 KB] || a000895_pre_searchweb.jpg (320x180) [62.9 KB] || preview_made_from_dv.00010_print.png (352x240) [141.5 KB] || a000895.webmhd.webm (960x540) [1.1 MB] || dc_growth.mov (320x240) [1.2 MB] || a000895.mpg (352x240) [2.9 MB] || ", "hits": 8 }, { "id": 897, "url": "https://svs.gsfc.nasa.gov/897/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Shanghai, Dissolve From 1986 to Feb 1998", "description": "Shanghai urban growth (1986 - 1998) || a000897.00100_print.png (720x480) [361.8 KB] || a000897_pre.jpg (320x238) [5.4 KB] || shanghai_growth_pre.jpg (320x240) [4.6 KB] || a000897_thm.png (80x40) [4.3 KB] || shanghai_growth_pre_searchweb.jpg (320x180) [35.5 KB] || a000897.webmhd.webm (960x540) [2.2 MB] || a000897.dv (720x480) [68.3 MB] || a000897.mp4 (640x480) [3.7 MB] || shanghai_growth.mov (320x240) [1.2 MB] || a000897.mpg (352x240) [3.2 MB] || ", "hits": 10 }, { "id": 898, "url": "https://svs.gsfc.nasa.gov/898/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro area: Gray Scheme with TM Data", "description": "Opening image is 1985 TM data, closing 1996 TM data || An animation of the changes in urban growth in the Washington DC metropolitan area from 1985 to 1996, using Landsat data || a000898.00010_print.png (720x480) [611.5 KB] || a000898_pre.jpg (320x238) [10.2 KB] || a000898_thm.png (80x40) [5.4 KB] || a000898_pre_searchweb.jpg (320x180) [76.0 KB] || a000898.webmhd.webm (960x540) [4.4 MB] || a000898.dv (720x480) [83.5 MB] || a000898.mp4 (640x480) [4.3 MB] || a000898.mpg (352x240) [3.2 MB] || ", "hits": 6 }, { "id": 909, "url": "https://svs.gsfc.nasa.gov/909/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Pearl River, Region 1, Principal Component Analysis 621", "description": "A zoom into the Pearl River area, using Landsat data || a000909.00010_print.png (720x480) [778.6 KB] || a000909_pre.jpg (320x238) [14.9 KB] || a000909_thm.png (80x40) [6.6 KB] || a000909_pre_searchweb.jpg (320x180) [98.7 KB] || a000909.webmhd.webm (960x540) [3.8 MB] || a000909.dv (720x480) [55.6 MB] || a000909.mp4 (640x480) [3.0 MB] || a000909.mpg (352x240) [2.0 MB] || ", "hits": 35 }, { "id": 910, "url": "https://svs.gsfc.nasa.gov/910/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Pearl River, Region 2, Principal Component Analysis 621", "description": "A zoom into the Pearl River area, using Landsat data || a000910.00010_print.png (720x480) [779.0 KB] || a000910_pre.jpg (320x238) [14.9 KB] || a000910_thm.png (80x40) [6.6 KB] || a000910_pre_searchweb.jpg (320x180) [99.0 KB] || a000910.webmhd.webm (960x540) [4.1 MB] || a000910.dv (720x480) [54.7 MB] || a000910.mp4 (640x480) [3.0 MB] || a000910.mpg (352x240) [1.9 MB] || ", "hits": 34 }, { "id": 911, "url": "https://svs.gsfc.nasa.gov/911/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Pearl River, Region 3, Principal Component Analysis 621", "description": "A zoom into the Pearl River area, using Landsat data || a000911.00010_print.png (720x480) [778.5 KB] || a000911_pre.jpg (320x238) [14.9 KB] || a000911_thm.png (80x40) [6.6 KB] || a000911_pre_searchweb.jpg (320x180) [98.9 KB] || a000911.webmhd.webm (960x540) [3.6 MB] || a000911.dv (720x480) [54.8 MB] || a000911.mp4 (640x480) [2.9 MB] || a000911.mpg (352x240) [1.9 MB] || ", "hits": 32 }, { "id": 912, "url": "https://svs.gsfc.nasa.gov/912/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Pearl River, Region 4, Principal Component Analysis 621", "description": "A zoom into the Pearl River area, using Landsat data || a000912.00010_print.png (720x480) [778.2 KB] || a000912_pre.jpg (320x238) [14.9 KB] || a000912_thm.png (80x40) [6.6 KB] || a000912_pre_searchweb.jpg (320x180) [97.2 KB] || a000912.webmhd.webm (960x540) [4.1 MB] || a000912.dv (720x480) [54.7 MB] || a000912.mp4 (640x480) [3.0 MB] || a000912.mpg (352x240) [1.9 MB] || ", "hits": 30 }, { "id": 914, "url": "https://svs.gsfc.nasa.gov/914/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Ground Photographs from Southern China: Road Construction", "description": "New road construction in what was previously banana plantations || a000914_still.jpg (720x528) [95.1 KB] || a000914_pre.jpg (320x238) [10.9 KB] || a000914_thm.png (80x40) [6.6 KB] || a000914_pre_searchweb.jpg (320x180) [84.2 KB] || ", "hits": 3 }, { "id": 915, "url": "https://svs.gsfc.nasa.gov/915/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Ground Photographs from Southern China: Abandoned Project", "description": "Typical abandoned project || a000915_still.jpg (720x528) [103.8 KB] || a000915_pre.jpg (320x238) [10.7 KB] || a000915_thm.png (80x40) [6.0 KB] || a000915_pre_searchweb.jpg (320x180) [69.4 KB] || Video slate image reads, \"Ground Photographs from Southern China Typical abandoned project (of which there are many in the area)Photographs courtesy of Karen Seto (Boston University)\". || a000915_slate.jpg (720x528) [94.4 KB] || a000915_slate_web.png (320x234) [81.6 KB] || ", "hits": 7 }, { "id": 916, "url": "https://svs.gsfc.nasa.gov/916/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Ground Photographs from Southern China: Housing in Guangdong Province", "description": "Example of the new style of housing in Guangdong Province || a000916_still.jpg (720x528) [93.9 KB] || a000916_pre.jpg (320x238) [7.8 KB] || a000916_thm.png (80x40) [4.9 KB] || a000916_pre_searchweb.jpg (320x180) [55.5 KB] || ", "hits": 4 }, { "id": 917, "url": "https://svs.gsfc.nasa.gov/917/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Ground Photographs from Southern China: New Housing Development", "description": "A new housing development near the location of the raw materials || a000917_still.jpg (720x528) [116.7 KB] || a000917_pre.jpg (320x238) [11.8 KB] || a000917_thm.png (80x40) [6.8 KB] || a000917_pre_searchweb.jpg (320x180) [83.2 KB] || ", "hits": 5 }, { "id": 918, "url": "https://svs.gsfc.nasa.gov/918/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Ground Photographs from Southern China: Road Development in the Delta", "description": "Road development in a delta, requiring significant gravel build-up || a000918_still.jpg (720x528) [108.5 KB] || a000918_pre.jpg (320x238) [10.0 KB] || a000918_thm.png (80x40) [6.3 KB] || a000918_pre_searchweb.jpg (320x180) [62.1 KB] || ", "hits": 6 }, { "id": 919, "url": "https://svs.gsfc.nasa.gov/919/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Ground Photographs from Southern China: Suburban Housing Development", "description": "New housing development modeled after southern California suburbia || a000919_still.jpg (720x528) [125.3 KB] || a000919_pre.jpg (320x238) [11.5 KB] || a000919_thm.png (80x40) [6.7 KB] || a000919_pre_searchweb.jpg (320x180) [74.0 KB] || ", "hits": 7 }, { "id": 920, "url": "https://svs.gsfc.nasa.gov/920/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area: Roadways Labeled", "description": "An animation showing regions of significant urban growth in the metropolitan area around Washington, DC || a000920.00010_print.png (720x480) [640.5 KB] || a000920_pre.jpg (320x238) [12.2 KB] || a000920_thm.png (80x40) [6.3 KB] || a000920_pre_searchweb.jpg (320x180) [88.7 KB] || a000920.webmhd.webm (960x540) [4.3 MB] || a000920.dv (720x480) [76.4 MB] || a000920.mp4 (640x480) [4.0 MB] || a000920.mpg (352x240) [2.9 MB] || ", "hits": 11 }, { "id": 921, "url": "https://svs.gsfc.nasa.gov/921/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Atlanta in False Color Infrared (432)(b)", "description": "A flyby of Atlanta in false color infrared using Landsat data || a000921.00010_print.png (720x480) [408.2 KB] || a000921_pre.jpg (320x238) [5.5 KB] || a000921_thm.png (80x40) [4.0 KB] || a000921_pre_searchweb.jpg (320x180) [41.7 KB] || a000921.webmhd.webm (960x540) [12.1 MB] || a000921.dv (720x480) [275.6 MB] || a000921.mp4 (640x480) [14.9 MB] || a000921.mpg (352x240) [10.5 MB] || ", "hits": 2 }, { "id": 928, "url": "https://svs.gsfc.nasa.gov/928/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Atlanta Heat Island: Landsat Land Use Classification and Thermal IR Data", "description": "A comparison of land use and thermal infrared data of Atlanta from Landsat || a000928.00005_print.png (720x480) [474.3 KB] || a000928_thm.png (80x40) [3.8 KB] || a000928_pre.jpg (320x238) [8.1 KB] || a000928_pre_searchweb.jpg (320x180) [60.1 KB] || a000928.webmhd.webm (960x540) [7.8 MB] || a000928.dv (720x480) [107.6 MB] || a000928.mp4 (640x480) [5.8 MB] || a000928.mpg (352x240) [4.0 MB] || ", "hits": 43 }, { "id": 930, "url": "https://svs.gsfc.nasa.gov/930/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Atlanta Urban Growth from 1984 to 1998 (in Gray)", "description": "A flyby of the Atlanta area, with regions of high urban growth indicated in gray || a000930.00005_print.png (720x480) [564.4 KB] || a000930_thm.png (80x40) [5.1 KB] || a000930_pre.jpg (320x238) [9.3 KB] || a000930_pre_searchweb.jpg (320x180) [67.5 KB] || a000930.webmhd.webm (960x540) [10.2 MB] || a000930.dv (720x480) [145.5 MB] || a000930.mp4 (640x480) [7.8 MB] || a000930.mpg (352x240) [5.1 MB] || ", "hits": 42 }, { "id": 937, "url": "https://svs.gsfc.nasa.gov/937/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Atlanta Heat Island: Slower Flyover, Yellow TIR Data", "description": "A animation showing the correlation between thermal and visible Landsat data of the Atlanta Heat Island || a000937.00005_print.png (720x480) [857.5 KB] || a000937_pre.jpg (320x242) [18.0 KB] || a000937.webmhd.webm (960x540) [11.2 MB] || a000937.dv (720x480) [165.3 MB] || a000937.mp4 (640x480) [8.8 MB] || a000937.mpg (352x240) [6.3 MB] || ", "hits": 34 }, { "id": 938, "url": "https://svs.gsfc.nasa.gov/938/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Atlanta Heat Island: Slower Flyover, Blue TIR Data", "description": "A animation showing the correlation between thermal and visible Landsat data of the Atlanta Heat Island || a000938.00005_print.png (720x480) [856.9 KB] || a000938_thm.png (80x40) [6.7 KB] || a000938_pre.jpg (320x238) [17.3 KB] || a000938_pre_searchweb.jpg (320x180) [109.0 KB] || a000938.webmhd.webm (960x540) [11.1 MB] || a000938.dv (720x480) [164.6 MB] || a000938.mp4 (640x480) [8.8 MB] || a000938.mpg (352x240) [6.3 MB] || ", "hits": 41 }, { "id": 939, "url": "https://svs.gsfc.nasa.gov/939/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area: Rockville, MD (ROY Scheme)", "description": "1973 - 1985 = Red; 1985 - 1990 = Orange; 1990 - 1996 = Yellow || ", "hits": 36 }, { "id": 940, "url": "https://svs.gsfc.nasa.gov/940/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Growth of Washington D.C. Metro Area: Dulles, VA (ROY Scheme)", "description": "1973 - 1985 = Red; 1985 - 1990 = Orange; 1990 - 1996 = Yellow || ", "hits": 40 }, { "id": 941, "url": "https://svs.gsfc.nasa.gov/941/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Atlanta Heat Island: Land Use Map in Shades of Green", "description": "A simulation showing the correlation between thermal and visible Landsat data of the Atlanta Heat Island || a000941.00005_print.png (720x480) [807.3 KB] || a000941_thm.png (80x40) [6.1 KB] || a000941_pre.jpg (320x238) [13.9 KB] || a000941_pre_searchweb.jpg (320x180) [93.1 KB] || a000941.webmhd.webm (960x540) [4.6 MB] || a000941.mp4 (640x480) [3.5 MB] || a000941.dv (720x480) [70.0 MB] || a000941.mpg (352x240) [2.0 MB] || ", "hits": 39 }, { "id": 945, "url": "https://svs.gsfc.nasa.gov/945/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Atlanta Land Use Map: Green Scheme, Perspective Angle", "description": "A perspective view of a Landsat image of the Atlanta region || a000945_still.jpg (720x528) [179.2 KB] || a000945_pre.jpg (320x238) [14.1 KB] || a000945_thm.png (80x40) [6.1 KB] || a000945_pre_searchweb.jpg (320x180) [93.5 KB] || For More Information || See [http://svs.gsfc.nasa.gov/stories/Landsat/atlanta_heat.html](http://svs.gsfc.nasa.gov/stories/Landsat/atlanta_heat.html) || ", "hits": 35 }, { "id": 946, "url": "https://svs.gsfc.nasa.gov/946/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Atlanta Land Use Map: Green Scheme, Straight Down", "description": "A Landsat image of the Atlanta region || a000946_still.jpg (720x528) [186.3 KB] || a000946_pre.jpg (320x238) [14.6 KB] || a000946_thm.png (80x40) [6.2 KB] || a000946_pre_searchweb.jpg (320x180) [97.4 KB] || For More Information || See [http://svs.gsfc.nasa.gov/stories/Landsat/atlanta_heat.html](http://svs.gsfc.nasa.gov/stories/Landsat/atlanta_heat.html) || ", "hits": 39 }, { "id": 947, "url": "https://svs.gsfc.nasa.gov/947/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Atlanta Thermal Image (Blue TIR, Perspective Angle)", "description": "A perspective view of a Landsat thermal image of the Atlanta region || a000947_still.jpg (720x528) [154.0 KB] || a000947_pre.jpg (320x238) [12.0 KB] || a000947_thm.png (80x40) [5.7 KB] || a000947_pre_searchweb.jpg (320x180) [83.7 KB] || For More Information || See [http://svs.gsfc.nasa.gov/stories/Landsat/atlanta_heat.html](http://svs.gsfc.nasa.gov/stories/Landsat/atlanta_heat.html) || ", "hits": 30 }, { "id": 948, "url": "https://svs.gsfc.nasa.gov/948/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Atlanta Thermal Image (Blue TIR, Straight Down)", "description": "A Landsat thermal image of the Atlanta region || a000948_still.jpg (720x528) [157.9 KB] || a000948_pre.jpg (320x238) [12.1 KB] || a000948_thm.png (80x40) [5.7 KB] || a000948_pre_searchweb.jpg (320x180) [85.6 KB] || For More Information || See [http://svs.gsfc.nasa.gov/stories/Landsat/atlanta_heat.html](http://svs.gsfc.nasa.gov/stories/Landsat/atlanta_heat.html) || ", "hits": 36 }, { "id": 165, "url": "https://svs.gsfc.nasa.gov/165/", "result_type": "Visualization", "release_date": "1998-01-01T12:00:00-05:00", "title": "SeaWiFS Chesapeake Bay Zoom in", "description": "SeaWiFS Chesapeake Bay Zoom in || a000165.00095_print.png (720x480) [616.5 KB] || a000165_thm.png (80x40) [6.4 KB] || a000165_pre.jpg (320x242) [14.0 KB] || a000165_pre_searchweb.jpg (320x180) [81.1 KB] || a000165.webmhd.webm (960x540) [8.6 MB] || a000165.dv (720x480) [125.2 MB] || a000165.mp4 (640x480) [7.2 MB] || a000165.mpg (352x240) [4.8 MB] || Video slate image reads \"SeaWiFS Chesapeake Bay Zoom\". || a000165_slate.jpg (720x528) [30.1 KB] || a000165_slate_web.png (320x234) [24.0 KB] || ", "hits": 7 }, { "id": 99, "url": "https://svs.gsfc.nasa.gov/99/", "result_type": "Visualization", "release_date": "1996-04-15T12:00:00-04:00", "title": "Baltimore - Washington: 200 Years of Urban Growth", "description": "This series of animated maps portrays the growth and gradual merger of Washington and Baltimore over the past 200 years. They provide a powerful tool that could help manage the region's suburban sprawl in the near future.Researchers incorporated historical maps and census information dating back to 1792, as well as satellite photographs and other data collected from NASA satellites and space shuttles over the past 25 years. These animations were developed using provisional data, which may contain anomalies. The final database is scheduled for completion after June, 1996. || ", "hits": 21 } ] }