{ "count": 26, "next": null, "previous": null, "results": [ { "id": 14351, "url": "https://svs.gsfc.nasa.gov/14351/", "result_type": "Produced Video", "release_date": "2023-05-17T00:00:00-04:00", "title": "The Science of Snow: Digging for Data", "description": "Complete transcript available. || thumbnail2.jpg (1920x1080) [643.5 KB] || thumbnail2_searchweb.png (320x180) [89.4 KB] || thumbnail2_web.png (320x180) [89.4 KB] || thumbnail2_thm.png (80x40) [7.8 KB] || SnowEx_2023_Final_Export.webm (1920x1080) [2.6 MB] || SnowEx_Transcript.mp4 [22.6 MB] || SnowEx_2023_Final_Export.mp4 (1920x1080) [1.4 GB] || ", "hits": 29 }, { "id": 31054, "url": "https://svs.gsfc.nasa.gov/31054/", "result_type": "Hyperwall Visual", "release_date": "2019-09-17T00:00:00-04:00", "title": "Ocean Color Gallery, late summer 2019", "description": "A selection of images from https://oceancolor.gsfc.nasa.gov/gallery/ from late summer 2019. || ", "hits": 35 }, { "id": 31051, "url": "https://svs.gsfc.nasa.gov/31051/", "result_type": "Hyperwall Visual", "release_date": "2019-08-19T00:00:00-04:00", "title": "Eerie Blooms in Lake Erie", "description": "Algae bloom on July 30, 2019 || erie_oli_2019211_lrg_annotated_print.jpg (1024x570) [215.3 KB] || erie_oli_2019211_lrg_annotated_searchweb.png (320x180) [118.4 KB] || erie_oli_2019211_lrg_annotated_thm.png (80x40) [8.4 KB] || erie_oli_2019211_lrg_annotated.tif (6977x3888) [100.4 MB] || ", "hits": 37 }, { "id": 31032, "url": "https://svs.gsfc.nasa.gov/31032/", "result_type": "Hyperwall Visual", "release_date": "2019-04-08T00:00:00-04:00", "title": "Historic Floods Inundate Nebraska", "description": "Comparison of imagery of Omaha in March 2018 and 2019 shows flooding in 2019 || omaha_oli_flooding_2019_print.jpg (1024x576) [246.2 KB] || omaha_oli_flooding_2019.png (3840x2160) [12.9 MB] || omaha_oli_flooding_2019_searchweb.png (320x180) [124.7 KB] || omaha_oli_flooding_2019_thm.png (80x40) [6.8 KB] || omaha_oli_flooding_2019_1080p.mp4 (1920x1080) [3.0 MB] || omaha_oli_flooding_2019_720p.mp4 (1280x720) [1.6 MB] || omaha_oli_flooding_2019_720p.webm (1280x720) [635.5 KB] || omaha_oli_flooding_2019_3840p.mp4 (3840x2160) [8.5 MB] || ", "hits": 90 }, { "id": 12876, "url": "https://svs.gsfc.nasa.gov/12876/", "result_type": "Produced Video", "release_date": "2018-05-16T13:00:00-04:00", "title": "For 15 Years, GRACE Tracked Freshwater Movements Around the World", "description": "NASA scientists used GRACE data to identify regional trends of freshwater movement, and combined that information with data from other satellites, climate models and precipitation measurements to determine the causes of major regional trends in freshwater storage. || ", "hits": 51 }, { "id": 12332, "url": "https://svs.gsfc.nasa.gov/12332/", "result_type": "Produced Video", "release_date": "2016-08-11T15:00:00-04:00", "title": "PACE -- Plankton, Aerosol, Cloud, ocean Ecosystem", "description": "The Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission will deliver the most comprehensive look at global ocean color measurements in NASA's history. Not only will PACE monitor the health of our ocean, its science data will expand atmospheric studies by sensing our skies over an exceptionally broad spectrum of wavelengths. A strategic climate continuity mission in support of NASA's Plan for a Climate-Centric Architecture for Earth Observations and Applications from Space (2010), PACE wil monitor aerosol particles, clouds, and many factors related to the marine carbon cycle including the phytoplankton pigment, chlorophyll. Moreover, PACE applications will help with many of our most pressing environmental issues such as harmful algal bloom and air quality forecasts. || ", "hits": 27 }, { "id": 30791, "url": "https://svs.gsfc.nasa.gov/30791/", "result_type": "Hyperwall Visual", "release_date": "2016-07-20T00:00:00-04:00", "title": "Algae in Lake Okeechobee", "description": "A Landsat image show green streaks of algae in Lake Okeechobee. || okeechobee_algae_20160702_print.jpg (1024x574) [248.0 KB] || okeechobee_algae_20160702.png (4104x2304) [14.9 MB] || okeechobee_algae_20160702_searchweb.png (320x180) [124.0 KB] || okeechobee_algae_20160702_thm.png (80x40) [7.7 KB] || okeechobee_algae_20160702.hwshow [218 bytes] || ", "hits": 27 }, { "id": 30783, "url": "https://svs.gsfc.nasa.gov/30783/", "result_type": "Hyperwall Visual", "release_date": "2016-06-13T00:00:00-04:00", "title": "Ocean Color Imagery", "description": "Gulf of MexicoThis image of the northern Gulf of Mexico was created from remote-sensing reflectance and chlorophyll measurements taken from newly reprocessed VIIRS data collected on October 15, 2014. For more information, visit: oceancolor.gsfc.nasa.gov/cgi/image_archive.cgi?c=ALL || V20142881857.NorthernGulfOfMexico.jpg (3404x1638) [3.0 MB] || ocean-color-imagery.hwshow [309 bytes] || ", "hits": 217 }, { "id": 40167, "url": "https://svs.gsfc.nasa.gov/gallery/cryoimages/", "result_type": "Gallery", "release_date": "2015-11-16T10:09:22-05:00", "title": "Cryospheric Images", "description": "No description available.", "hits": 4 }, { "id": 4247, "url": "https://svs.gsfc.nasa.gov/4247/", "result_type": "Visualization", "release_date": "2014-12-17T00:00:00-05:00", "title": "Greenland Survey Areas", "description": "This animation starts with an overview of the Earth looking down upon North America. It then zooms into Greenland taking up most of the frame, and slowly dissolves in the research areas of interest. This animation ends where the following 4 animations pick up, so they can be composited together, if desired. || greenland_all_locs.jpg (1920x1080) [356.3 KB] || greenland_slow.1339_print.jpg (1024x576) [107.2 KB] || greenland_slow.1339_searchweb.png (320x180) [72.8 KB] || greenland_slow.1339_thm.png (80x40) [5.7 KB] || greenland_zoom_in_1080.mp4 (1920x1080) [5.2 MB] || Zoom_in (1920x1080) [32.0 KB] || greenland_zoom_in_1080.webm (1920x1080) [1.3 MB] || ", "hits": 12 }, { "id": 30479, "url": "https://svs.gsfc.nasa.gov/30479/", "result_type": "Hyperwall Visual", "release_date": "2013-11-12T13:00:00-05:00", "title": "Coastal Dead Zones", "description": "The size and number of marine dead zones—areas where the deep water is so low in dissolved oxygen that sea creatures can’t survive—have grown explosively in the past half-century. Yellow circles on this map show the location of observed eutrophic zones. Red dots show where hypoxic zones have been observed.It’s no coincidence that dead zones occur downriver of places where land is intensively used for agriculture. Some of the fertilizer we apply to crops is washed into streams and rivers. Fertilizer-laden runoff triggers explosive planktonic algae growth in coastal areas. The algae die and rain down into deep waters, where their remains are like fertilizer for microbes. The microbes decompose the organic matter, using up the oxygen. Mass killing of fish and other sea life often results.Satellites can observe changes in the way the ocean surface reflects and absorbs sunlight when the water holds a lot of particles of organic matter. Darker blues in this image show higher concentrations of particulate organic matter, an indication of the overly fertile waters that can culminate in dead zones. || ", "hits": 356 }, { "id": 11202, "url": "https://svs.gsfc.nasa.gov/11202/", "result_type": "Produced Video", "release_date": "2013-01-31T16:00:00-05:00", "title": "Monitoring Changes in the Chesapeake Bay Watershed", "description": "Landsat is a critical and invaluable tool for characterizing the landscape and mapping it over time. Landsat data provides a baseline of observations for science about how human activities on the land affect water quality, affect wildlife habitat, affect air quality. The satellite imagery covers the entire 64,000 square miles of the Chesapeake Bay watershed (spanning six states and the District of Columbia). Without it we wouldn't be able to really understand how sources of nutrients and sediment have changed and where they are in the Chesapeake Bay. The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey. The narration in this video is by Peter Claggett, a research geographer with the U.S. Geological Survey's Eastern Geographic Science Center. He has worked at the Chesapeake Bay Program Office since 2002, where he leads the Land Data Team that conducts research on land change characterization, analysis, and modeling in the Chesapeake Bay Watershed. The audio was adapted from a radio interview with EarthSky.org. || ", "hits": 28 }, { "id": 11054, "url": "https://svs.gsfc.nasa.gov/11054/", "result_type": "Produced Video", "release_date": "2012-08-02T12:00:00-04:00", "title": "Earth's Water Cycle", "description": "Water is the fundamental ingredient for life on Earth. Looking at our Earth from space, with its vast and deep ocean, it appears as though there is an abundance of water for our use. However, only a small portion of Earth's water is accessible for our needs. How much fresh water exists and where it is stored affects us all. This animation uses Earth science data from a variety of sensors on NASA Earth observing satellites as well as cartoons to describe Earth's water cycle and the continuous movement of water on, above and below the surface of the Earth. Sensors on a suite of NASA satellites observe and measure water on land, in the ocean and in the atmosphere. These measurements are important to understanding the availability and distribution of Earth's water — vital to life and vulnerable to the impacts of climate change on a growing world population.NASA Earth Observing System Data and Information Systems (EOSDIS) EOSDIS is a distributed system of twelve data centers and science investigator processing systems. EOSDIS processes, archives, and distributes data from Earth observing satellites, field campaigns, airborne sensors, and related Earth science programs. These data enable the study of Earth from space to advance scientific understanding.For questions, please contact eosdis-outreach@lists.nasa.gov || ", "hits": 258 }, { "id": 10862, "url": "https://svs.gsfc.nasa.gov/10862/", "result_type": "Produced Video", "release_date": "2012-02-16T00:00:00-05:00", "title": "Shrinking Aral Sea", "description": "In the 1960s, the Soviet Union undertook major water diversion projects on the Syr Darya and Amu Darya rivers, capturing water that once fed into the Aral Sea. Irrigation projects made the desert bloom, but they spelled doom for the natural freshwater lake. As the Aral Sea dried up, fisheries collapsed, as did the communities that depended on them. The remaining water supply became increasingly salty and polluted with runoff from agricultural plots. Dust blowing from the exposed lakebed eventually degraded the soils, forcing further water diversion efforts to revive them. On a larger scale, loss of the Aral Sea's water influenced regional climate, making the winters even colder and the summers much hotter. Fifty years later, the lake is virtually gone. View the dramatic changes that took place over decades in this collection of satellite images. || ", "hits": 330 }, { "id": 10889, "url": "https://svs.gsfc.nasa.gov/10889/", "result_type": "Produced Video", "release_date": "2012-01-04T00:00:00-05:00", "title": "NASA Finds Russian Runoff Freshening Canadian Arctic", "description": "A new NASA and University of Washington study allays concerns that melting Arctic sea ice could be increasing the amount of freshwater in the Arctic enough to have an impact on the global \"ocean conveyor belt\" that redistributes heat around our planet. Read the full press release here: http://www.nasa.gov/topics/earth/features/earth20120104.html || ", "hits": 16 }, { "id": 3829, "url": "https://svs.gsfc.nasa.gov/3829/", "result_type": "Visualization", "release_date": "2011-05-10T00:00:00-04:00", "title": "Aquarius studies Ocean and Wind Flows", "description": "Aquarius is a focused satellite mission to measure global Sea Surface Salinity. During its nominal three-year mission, Aquarius will map the salinity at the ocean surface to improve our understanding of Earth's water cycle and ocean circulation. Aquarius will help scientists see how freshwater moves between the ocean and the atmosphere. It will monitor changes in the water cycle due to rainfall, evaporation, ice melting, and river runoff. Aquarius will also demonstrate a measurement capability that can be applied to future operational missions. Ocean circulation is driven in large part by changes in water density, which is determined by temperature and salinity. Cold, high-salinity water masses sink and trigger the ocean's \"themalhaline circulation\" - the surface and deep currents that distribute solar energy to regulate Earth's climate. By measuring salinity, Aquarius will provide new insight into this global process. Aquarius' measurements of ocean salinity will provide a new perspective on the ocean and its links to climate, greatly expanding upon limited past measurements. Aquarius salinity data - combined with data from other sensors that measure sea level, ocean color, temperature, winds and rainfall will give us a much clearer picture of how the ocean works, how it is linked to climate, and how it may respond to climate change.Aquarius will provide information that will help improve predictions of future climate trends and short-term climate events such as El Niño and La Niña. Precise salinity measurements from Aquarius will reveal changes in patterns of global precipitation and evaporation and show how these changes may affect ocean circulation. || ", "hits": 100 }, { "id": 40083, "url": "https://svs.gsfc.nasa.gov/gallery/aquarius/", "result_type": "Gallery", "release_date": "2010-11-30T00:00:00-05:00", "title": "Aquarius Mission", "description": "During its nominal three-year mission, Aquarius will map the\rsalinity at the ocean surface to improve our understanding of\rEarth's water cycle and ocean circulation. Aquarius will help\rscientists see how freshwater moves between the ocean and\rthe atmosphere. It will monitor changes in the water cycle due\rto rainfall, evaporation, ice melting, and river runoff.", "hits": 91 }, { "id": 3766, "url": "https://svs.gsfc.nasa.gov/3766/", "result_type": "Visualization", "release_date": "2010-09-28T00:00:00-04:00", "title": "2007 Greenland Melt Season Study - Stereoscopic Version", "description": "The Greenland ice sheet has been the focus of attention recently because of increasing melt in response to regional climate change. Several different remote sensing data products have been used to study surface and near-surface melt characteristics of the Greenland ice sheet for the 2007 melt season when record melt extent and runoff occurred. Here, MODIS daily land surface temperature and a special diurnal melt product, derived from QuikSCAT scatterometer data, measure the evolution of melt on the ice sheet. Although these daily products are sensitive to different geophysical features, they show excellent correspondence when surface melt is present. This animation displays these two geophysical data products of the Greenland ice sheet side-by-side, showing MODIS data on the left side and QuikSCAT data on the right. The 2007 melt season is shown twice. In the first sequence, MODIS surface temperature is compared with several categories of QuikSCAT melt between March 15th and October 13th, 2010. During this sequence, active melt detected by QuikSCAT is shown in light blue, reduced melt is medium blue, and completed melt is dark blue. For the MODIS, surface temperature is shown with the color scale — red indicates a surface temperature greater than -1 degree Celsius. As MODIS shows warmer surface temperature as the melt season progresses, QuikSCAT consistently identifies the corresponding melt.In the second sequence, the MODIS and QuikSCAT melted regions of the ice sheet were accumulated during the melt season. QuikSCAT captures melt earlier, and then melt is detected by MODIS shortly afterward at a higher spatial resolution. The final result (frame) shows the seasonal melt extent which was consistently delineated by both sensors. The cross-verification of these independent measurements, by two different instruments on different satellites, provides a higher confidence level in the melt observations, reducing the uncertainty in climate assessment of Greenland melt.This visualization is a stereoscopic version of animation entry: #3738: 2007 Greenland Melt Season Study. In this page the visualization content is offered in two different modes to accommodate stereoscopic systems, such as: Left and Right Eye separate and Left and Right Eye side-by-side combined on the same frame. || ", "hits": 74 }, { "id": 3738, "url": "https://svs.gsfc.nasa.gov/3738/", "result_type": "Visualization", "release_date": "2010-07-23T00:00:00-04:00", "title": "2007 Greenland Melt Season Study", "description": "The Greenland ice sheet has been the focus of attention recently because of increasing melt in response to regional climate change. Several different remote sensing data products have been used to study surface and near-surface melt characteristics of the Greenland ice sheet for the 2007 melt season when record melt extent and runoff occurred. Here, MODIS daily land surface temperature and a special diurnal melt product, derived from QuikSCAT scatterometer data, measure the evolution of melt on the ice sheet. Although these daily products are sensitive to different geophysical features, they show excellent correspondence when surface melt is present. This animation displays these two geophysical data products of the Greenland ice sheet side-by-side, showing MODIS data on the left side and QuikSCAT data on the right. The 2007 melt season is shown twice. In the first sequence, MODIS surface temperature is compared with several categories of QuikSCAT melt between March 15th and October 13th, 2010. During this sequence, active melt detected by QuikSCAT is shown in light blue, reduced melt is medium blue, and completed melt is dark blue. For the MODIS, surface temperature is shown with the color scale — red indicates a surface temperature greater than -1 degree Celsius. As MODIS shows warmer surface temperature as the melt season progresses, QuikSCAT consistently identifies the corresponding melt.In the second sequence, the MODIS and QuikSCAT melted regions of the ice sheet were accumulated during the melt season. QuikSCAT captures melt earlier, and then melt is detected by MODIS shortly afterward at a higher spatial resolution. The final result (frame) shows the seasonal melt extent which was consistently delineated by both sensors. The cross-verification of these independent measurements, by two different instruments on different satellites, provides a higher confidence level in the melt observations, reducing the uncertainty in climate assessment of Greenland melt. || ", "hits": 35 }, { "id": 3652, "url": "https://svs.gsfc.nasa.gov/3652/", "result_type": "Visualization", "release_date": "2009-10-09T13:24:00-04:00", "title": "Sea Surface Temperature, Salinity and Density", "description": "Sea Surface TemperatureThe oceans of the world are heated at the surface by the sun, and this heating is uneven for many reasons. The Earth's axial rotation, revolution about the sun, and tilt all play a role, as do the wind-driven ocean surface currents. The first animation in this group shows the long-term average sea surface temperature, with red and yellow depicting warmer waters and blue depicting colder waters. The most obvious feature of this temperature map is the variation of the temperature by latitude, from the warm region along the equator to the cold regions near the poles. Another visible feature is the cooler regions just off the western coasts of North America, South America, and Africa. On these coasts, winds blow from land to ocean and push the warm water away from the coast, allowing cooler water to rise up from deeper in the ocean. || ", "hits": 640 }, { "id": 3477, "url": "https://svs.gsfc.nasa.gov/3477/", "result_type": "Visualization", "release_date": "2008-04-21T08:00:00-04:00", "title": "Chesapeake Bay Watershed Region (short version)", "description": "The watershed that drains into the Chesapeake Bay is a huge expanse that extends 64,000 miles into five states across North America (New York, Pensylvania, Maryland, Delaware, Virginia) and the District of Columbia. This visualization overlays the full watershed onto a Landsat satellite visualization of the Bay area. The eight different distinctly colored regions indicate the Chesapeake's major subwatersheds. These subwatershed regions are: Susquehanna, Potomac, Patuxent, MD West Shore, Rapahhannock, Eastern Shore, James and York. This visualization contains just the last part of the Chesapeake Bay Flyover and Watershed Region (#3472) animation and demonstrates the entire Watershed without the Chesapeake Bay flyover. This animation highlights and labels each subwatershed in turn. Data Notes:The mosaic was created by EarthSat under contract with NASA as part of the GeoCover 2000 product. All images used in GeoCover were acquired by Landsat-7 during the period of 1999-2002. The pixel size of the full resolution image represents 14.25 m on the ground. The Chesapeake Bay mosaic uses portions of eight Landsat-7 scenes. Below you will find a listing of the eight Landsat 7 images that were put together to create the composite image. Landsat scenes are organized by a Path and Row number according to the Worldwide Reference System. (To learn more about Landsat's Worldwide Reference System, please visit: http://landsat.gsfc.nasa.gov/about/wrs.html)Scenes used in the Chesapeake Bay mosaic: Landsat-7 WRS Path 15-Row 32 acquired on Oct. 05, 2001 Landsat-7 WRS Path 14-Row 32 acquired on Sept. 23, 1999 Landsat-7 WRS Path 15-Row 33 acquired on October 05, 2001 Landsat-7 WRS Path 14-Row 33 acquired on July 10, 2001Landsat-7 WRS Path 15-Row 34 acquired on Sept. 30, 1999 Landsat-7 WRS Path 14-Row 34 acquired on July 10, 2001 Landsat-7 WRS Path 15-Row 35 acquired on Sept. 30, 1999 Landsat-7 WRS Path 14-Row 35 acquired on Sept. 23, 1999 || ", "hits": 70 }, { "id": 10207, "url": "https://svs.gsfc.nasa.gov/10207/", "result_type": "Produced Video", "release_date": "2008-04-20T12:00:00-04:00", "title": "NASA Satellites Aid in Chesapeake Bay Recovery", "description": "From the distant reaches of the Universe, to black holes, and the Martian surface, NASA explores some of the most far out parts of space. But NASA also does research much closer to home. In fact, NASA Earth Science satellites are taking part in the management and recovery of an ecosystem right in our backyard, the Chesapeake Bay. || ", "hits": 24 }, { "id": 2979, "url": "https://svs.gsfc.nasa.gov/2979/", "result_type": "Visualization", "release_date": "2004-09-03T12:00:00-04:00", "title": "Mississippi Dead Zone", "description": "Recent reports indicate that the large region of low oxygen water often referred to as the 'Dead Zone' has spread across nearly 5,800 square miles of the Gulf of Mexico again in what appears to be an annual event. NASA satellites monitor the health of the oceans and spots the conditions that lead to a dead zone. These images show how ocean color changes from winter to summer in the Gulf of Mexico. Summertime satellite observations of ocean color from MODIS Aqua show highly turbid waters which may include large blooms of phytoplankton extending from the mouth of the Mississippi River all the way to the Texas coast. When these blooms die and sink to the bottom, bacterial decomposition strips oxygen from the surrounding water, creating an environment very difficult for marine life to survive in. Reds and oranges represent high concentrations of phytoplankton and river sediment. The National Oceanic and Atmospheric Administration (NOAA) ships measured low oxygen water in the same location as the highly turbid water in the satellite images. Most studies indicate that fertilizers and runoff from human sources is one of the major stresses impacting coastal ecosystems. In the third image using NOAA data, reds and oranges represent low oxygen concentrations. || ", "hits": 73 }, { "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": 21 }, { "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": 7 }, { "id": 742, "url": "https://svs.gsfc.nasa.gov/742/", "result_type": "Visualization", "release_date": "1999-10-27T12:00:00-04:00", "title": "Landsat 7 Cape Hatteras Pamlico Sound", "description": "As Cape Hatteras Pamlico Sound becomes overpowered by rain, the rivers become choked with silt. || ", "hits": 39 } ] }