{ "count": 158, "next": "https://svs.gsfc.nasa.gov/api/search/?limit=100&offset=100&search=%22Time+Series%22", "previous": null, "results": [ { "id": 15084, "url": "https://svs.gsfc.nasa.gov/15084/", "result_type": "Visualization", "release_date": "2026-08-30T00:00:00-04:00", "title": "Brunei Bay Boats", "description": "Brunei Bay, located on the northwest coast of Borneo, serves as a major anchorage for commercial vessels, including large cargo ships and oil tankers. This time series of Harmonized Landsat and Sentinel-2 (HLS) imagery captures the dynamic nature of this maritime hub. As ships arrive, wait at anchor, and eventually depart, changing ocean currents and tides cause the anchored vessels to rotate and sway, creating a dynamic display of ship traffic over time.", "hits": 98 }, { "id": 15085, "url": "https://svs.gsfc.nasa.gov/15085/", "result_type": "Visualization", "release_date": "2026-08-30T00:00:00-04:00", "title": "The Shrinking Salton Sea", "description": "California's largest lake, the Salton Sea, has experienced a severe decline in water levels over recent years. Driven by reduced agricultural runoff, persistent regional drought, and extreme heat, the lake's shoreline has rapidly retreated, exposing vast swaths of dry lakebed. This time series of Harmonized Landsat and Sentinel-2 (HLS) imagery documents the dramatic shrinking of the Salton Sea, highlighting a critical environmental transformation that continues to reshape the landscape.", "hits": 239 }, { "id": 15086, "url": "https://svs.gsfc.nasa.gov/15086/", "result_type": "Visualization", "release_date": "2026-08-30T00:00:00-04:00", "title": "Growth of the Escondida Mine, Chile", "description": "Located in the arid Atacama Desert of northern Chile, the Escondida Mine is the highest-producing copper mine in the world. Since operations began in the late 1980s, the mining complex has undergone massive expansion to meet global resource demands. This Landsat time series captures over four decades of landscape alteration, showcasing the continuous growth of its massive open pits carved into the desert.", "hits": 76 }, { "id": 15087, "url": "https://svs.gsfc.nasa.gov/15087/", "result_type": "Visualization", "release_date": "2026-08-30T00:00:00-04:00", "title": "Flooding in Southern Mozambique", "description": "In December 2025 and January 2026, weeks of heavy rain caused severe flooding in southern Mozambique. The rainfall overwhelmed regional reservoirs, causing the Limpopo and Incomati rivers to overflow into heavily populated areas and agricultural land. This false-color Landsat time series uses shortwave-infrared (SWIR) imagery to clearly separate water from land.", "hits": 64 }, { "id": 5666, "url": "https://svs.gsfc.nasa.gov/5666/", "result_type": "Visualization", "release_date": "2026-07-30T16:02:00-04:00", "title": "Smoke from Record-Breaking Wildfires in Spain and France", "description": "Record-breaking wildfires in July 2026 severely impacted European air quality. Watch how NASA’s GEOS model tracks the dramatic transport of wildfire smoke across the continent, alongside two NASA FEDS visualizations showing the rapid expansion of active fire perimeters in Madrid, Spain, and Bordeaux, France.", "hits": 304 }, { "id": 15055, "url": "https://svs.gsfc.nasa.gov/15055/", "result_type": "Visualization", "release_date": "2026-06-23T00:00:00-04:00", "title": "Tracking Timber in Washington’s Wynoochee Valley", "description": "Washington's Wynoochee Valley contains dense forests that are regularly altered by timber harvesting. In this Harmonized Landsat and Sentinel-2 (HLS) sequence, disturbed forests are visible as patches of bare ground against the green of the undisturbed trees. Tracking these changes from space is a practical way to monitor logging patterns and forest health over large regions for free.", "hits": 56 }, { "id": 15054, "url": "https://svs.gsfc.nasa.gov/15054/", "result_type": "Visualization", "release_date": "2026-06-22T00:00:00-04:00", "title": "The Retreating Alsek Glacier, Alaska", "description": "The Alsek Glacier, located in the remote wilderness of Alaska, has undergone dramatic transformations over the last few decades. As the climate has warmed, the glacier’s tongue has retreated and thinned, giving way to the expansion of a proglacial lake at its terminus. Because this dynamic landscape is difficult to monitor continuously from the ground, the historical record of the Landsat program provides critical insights into the rate of ice loss and the shifting features of the region. ||", "hits": 95 }, { "id": 15039, "url": "https://svs.gsfc.nasa.gov/15039/", "result_type": "Gallery", "release_date": "2026-05-06T16:50:00-04:00", "title": "Landsat and HLS (Harmonized Landsat and Sentinel-2) Time Series", "description": "This gallery contains time series animations which utilizes the extensive Landsat data archive of Earth’s surface. Watch seasonal shifts in cropland, long-term coastline change, and more.", "hits": 209 }, { "id": 15019, "url": "https://svs.gsfc.nasa.gov/15019/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Reno, Nevada and Surrounding Areas", "description": "This collection of Landsat time series explores dynamic landscape changes across the Sierra Nevada. It shows a four-decade look at rapid urban expansion in Reno, Nevada with a targeted, false-color analysis of severe late-2021 wildfire burn scars near Lake Tahoe.", "hits": 59 }, { "id": 15020, "url": "https://svs.gsfc.nasa.gov/15020/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "The Shrinking Great Salt Lake", "description": "The Great Salt Lake is shrinking. Driven by upstream water diversions and a shifting climate, the largest saline lake in the Western Hemisphere has experienced a severe, decades-long decline. This time series captures the transformation of the Great Salt Lake, watching it plummet from historic highs in the 1980s to record low water levels in the 2020s.", "hits": 1087 }, { "id": 15021, "url": "https://svs.gsfc.nasa.gov/15021/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "The Meandering Ucayali River", "description": "Peru’s restless Ucayali River is constantly changing shape. Landsat satellites captured the the headwater of the Amazon over four decades as it twisted its way across the landscape, meandering, shifting channels, and forming oxbow lakes.", "hits": 128 }, { "id": 15022, "url": "https://svs.gsfc.nasa.gov/15022/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "The Ephemeral Lake Carnegie", "description": "Lake Carnegie in Western Australia is typically a dry expanse, but transforms into a temporary oasis following intense tropical storms. These natural and infrared-color time series document the inundation triggered by rains, revealing stark seasonal shifts in water and vegetation across the Western Australian landscape.", "hits": 39 }, { "id": 15023, "url": "https://svs.gsfc.nasa.gov/15023/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Erosion in the Beaufort Sea Coastline", "description": "For the past 40 years, the coastline of Alaska’s Beaufort Sea has been retreating. This time series uses near-infrared imagery to contrast land and water, highlighting how thawing permafrost and longer ice-free seasons have accelerated coastal erosion, reshaping the Arctic landscape.", "hits": 59 }, { "id": 15024, "url": "https://svs.gsfc.nasa.gov/15024/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Deforestation in Santa Cruz, Bolivia", "description": "Forty decades of agricultural expansion in Bolivia have completely transformed the landscape. This time series zooms in on a region east of Santa Cruz, where soybean producers cleared tropical dry forests to make way for farms. The broad green expanse is replaced with striking geometric patterns of rectangular fields, protective windbreaks, and radial settlements.", "hits": 53 }, { "id": 15025, "url": "https://svs.gsfc.nasa.gov/15025/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Saudi Arabia’s Desert Agriculture", "description": "In this animation, crop fields in Saudi Arabia cycle through their growing seasons. Corn, barley, sorghum, and wheat—Saudi Arabia’s four main crops—all follow different crop calendars, but the bulk of the harvesting occurs in late spring and early summer. The time series spans 2024 and January 2025.", "hits": 125 }, { "id": 15026, "url": "https://svs.gsfc.nasa.gov/15026/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Deforestation in Paraguay’s Gran Chaco", "description": "This animation shows the progression of deforestation in the Paraguayan Chaco from 1985 to 2025 using natural-color images from Landsat satellites. Research using Landsat imagery found that 27% of the Paraguayan Chaco disappeared between 1987 and 2012. Another study found that Dry Chaco forest cover decreased by 20.2% between 2000 and 2019, with Paraguay’s forest experiencing the highest levels of loss.", "hits": 124 }, { "id": 15027, "url": "https://svs.gsfc.nasa.gov/15027/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Undamming the Klamath", "description": "Between October 2023 and October 2024, the four dams comprising the Klamath Hydroelectric Project were taken down. Gates opened, dams were blasted apart, reservoir drawdown began. The result, at first, was a rush of sediment that muddied the waters of the Klamath River. As the river flowed toward the Pacific Ocean, water levels lowered, exposing previously submerged land to sunlight.", "hits": 51 }, { "id": 15028, "url": "https://svs.gsfc.nasa.gov/15028/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Harmful Algal Blooms in California’s Pyramid Lake", "description": "Green algae swirls across the blue waters of Nevada’s Pyramid Lake. This time series of Harmonized Landsat and Sentinel-2 (HLS) imagery from August 28 to November 6, 2024 shows the explosive growth and decline of these blooms, which form when a flood of nutrients meets warm water and abundant sunlight. Under these conditions, toxic cyanobacteria can multiply rapidly, releasing liver-damaging toxins that threaten public health.", "hits": 63 }, { "id": 15029, "url": "https://svs.gsfc.nasa.gov/15029/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Fluctuations in Egypt’s Lake Nasser", "description": "Egypt’s Lake Nasser is one of the world’s largest man-made lakes, stretching over 300 miles long and 10 miles wide. This time series shows Landsat’s view of Lake Nasser’s transformation between 1972 and 2024, during which the lake’s water levels fluctuate dramatically due to the region’s arid climate and seasonal rainfall. High evaporation rates in the dry season can cause the lake to shrink, while flooding seasons can bring the water levels to a high point. ||", "hits": 115 }, { "id": 15030, "url": "https://svs.gsfc.nasa.gov/15030/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "The Retreat of Alaska’s Mendenhall Glacier", "description": "From 1986 to 2024, the Mendenhall Glacier retreated by about a mile and in some places thinned by 2,000 feet. This Landsat time series uses infrared bands to differentiate ice, rocks, soil, and vegetation. Although Mendenhall’s retreat began centuries ago, warming has accelerated its decline. The Juneau Icefield, Mendenhall’s source, lost 63 of 1,050 glaciers and 10% of its ice between 2005 and 2019.", "hits": 261 }, { "id": 15031, "url": "https://svs.gsfc.nasa.gov/15031/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Seasons Change in Southwest Virginia", "description": "The animation showcases the Valley and Ridge province of the Appalachian Mountains, named for its characteristic parallel ridges and valleys. When the supercontinent Pangea formed, the region was compressed, one of the factors producing this folded landscape.The region’s forests, largely deciduous, undergo color change in the fall before shedding their leaves. Certain species change color earlier, while others lose their green pigment later in the season.", "hits": 42 }, { "id": 15032, "url": "https://svs.gsfc.nasa.gov/15032/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Plants and Algae Swirl Across a South African Reservoir", "description": "On clear days in Hartbeespoort, South Africa, Landsat and Sentinel-2 images often reveal a reservoir with shades of deep blue interrupted by drifting patches of vivid green. Over the years, these shifting features have included algae blooms—which can affect water quality, ecosystems, and nearby human communities—along with several types of invasive aquatic plants. ||", "hits": 29 }, { "id": 15034, "url": "https://svs.gsfc.nasa.gov/15034/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Braided River in Tibet Redraws Its Channels", "description": "This Landsat time series shows the channels of Tibet’s Yarlung Zangbo river shifting substantially from year to year due to high sediment discharge from nearby steep mountains. Flooding events frequently remobilize the steady accumulation of loose, coarse sediment, preventing vegetation from becoming established on the sandbars.", "hits": 58 }, { "id": 15035, "url": "https://svs.gsfc.nasa.gov/15035/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Forty Years of Change in Louisiana’s Wetlands", "description": "Louisiana's coastline is on the move. Utilizing infrared-color imagery to contrast water and vegetation, this Landsat time series tracks 40 years of dynamic shifts across Louisiana’s fragile coast. From abrupt hurricane-induced flooding to the gradual, permanent drowning of vital marshes, these visualizations capture an ecosystem in perpetual motion.", "hits": 117 }, { "id": 15036, "url": "https://svs.gsfc.nasa.gov/15036/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "Lithium Ponds of Tibet’s Lake Zabuye", "description": "Lake Zabuye, located high on the Tibetan Plateau, is a hypersaline, alkaline lake that holds some of the world's highest concentrations of lithium. In this remote, arid, and cold environment, mining operations pump mineral-rich underground brines into shallow surface pools.", "hits": 64 }, { "id": 15037, "url": "https://svs.gsfc.nasa.gov/15037/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "The Receding Breiðamerkurjökull Glacier, Iceland", "description": "Breiðamerkurjökull, an outlet glacier of Iceland’s Vatnajökull ice cap, has been in rapid retreat for decades. As the ice shrinks, it expands the deepening Jökulsárlón lagoon. Warm saltwater from the North Atlantic flows into this basin, accelerating the melting and calving of the glacier's edge. Because these icy landscapes are too vast and remote to measure entirely from the ground, Landsat’s record is vital for tracking trends over time.", "hits": 102 }, { "id": 15018, "url": "https://svs.gsfc.nasa.gov/15018/", "result_type": "Visualization", "release_date": "2026-05-06T11:00:00-04:00", "title": "Agricultural Cycles in the Imperial Valley", "description": "This page features HLS (Harmonized Landsat and Sentinel-2) time series of California’s Imperial Valley near the Salton Sea. Spanning October 2024 to October 2025, these animations highlight multiple agricultural growth cycles within a single year using natural color, NDVI, and a side-by-side comparison.", "hits": 74 }, { "id": 15017, "url": "https://svs.gsfc.nasa.gov/15017/", "result_type": "Visualization", "release_date": "2026-05-06T10:00:00-04:00", "title": "Urban Growth in Las Vegas", "description": "Over the course of four decades, Las Vegas sprawls outward into the pale background of the Mojave Desert. Landsat satellites captured this steady transformation of open desert to developed metropolitan grid. ||", "hits": 137 }, { "id": 15005, "url": "https://svs.gsfc.nasa.gov/15005/", "result_type": "Visualization", "release_date": "2026-04-28T00:00:00-04:00", "title": "Mount Saint Helens Recovery", "description": "In 1980, Mount Saint Helens erupted and destroyed 230 square miles of forest in Washington State. This near-infrared time series follows the decades-long recovery of that scarred landscape. Volcanic ash and rock appear grey, while plant life appears bright red.", "hits": 72 }, { "id": 15006, "url": "https://svs.gsfc.nasa.gov/15006/", "result_type": "Visualization", "release_date": "2026-04-28T00:00:00-04:00", "title": "Lithium Ponds of Chile's Salar de Atacama", "description": "Chile’s largest salt flat, Salar de Atacama, produces a significant portion of the global lithium supply. The desert receives just millimeters of rain annually, making it one of the driest places on Earth. Local mines harness the harsh desert sun to evaporate underground brines to access lithium. This HLS (Harmonized Landsat and Sentinel-2) sequence showcases shifting colors as water slowly vanishes to concentrate the critical mineral.", "hits": 170 }, { "id": 15007, "url": "https://svs.gsfc.nasa.gov/15007/", "result_type": "Visualization", "release_date": "2026-04-28T00:00:00-04:00", "title": "Urban Growth in Nouakchott, Mauritania", "description": "Nouakchott, Mauritania rapidly expanded its urban footprint from 1984 to 2026, driven by a surge in population from 278,000 to 1.7 million. This growing city is continually threatened by creeping Saharan sand dunes at its city limits. The two time series below reveal this dramatic transformation using both natural-color and urban infrared-color satellite imagery.", "hits": 59 }, { "id": 15008, "url": "https://svs.gsfc.nasa.gov/15008/", "result_type": "Visualization", "release_date": "2026-04-28T00:00:00-04:00", "title": "The Shrinking Amistad Reservoir", "description": "The Amistad Reservoir, which straddles the U.S.-Mexico border, has shrunk and surged repeatedly from 1985 to 2025. Despite these seasonal and annual cycles, prolonged regional drought and population growth has strained the reservoir, leading to an overall decline in water levels.", "hits": 66 }, { "id": 15009, "url": "https://svs.gsfc.nasa.gov/15009/", "result_type": "Visualization", "release_date": "2026-04-28T00:00:00-04:00", "title": "Water Loss in Lake Milh (Razzaza), Iraq", "description": "Lake Milh, Iraq was once a thriving resort and ecological haven. Over the past 3 decades, the lake has experienced extreme water loss, increasing salinity, and occasional algal blooms. These blooms, seen as red stains in 2019 and 2025, are driven by environmental and human impacts.", "hits": 62 }, { "id": 15010, "url": "https://svs.gsfc.nasa.gov/15010/", "result_type": "Visualization", "release_date": "2026-04-28T00:00:00-04:00", "title": "Lake Mead Recedes", "description": "Lake Mead has the largest storage capacity of any reservoir in the U.S. However, decades of increasing water demand and drought in the American West have caused a continual decline in water levels. This time series shows the gradual shrinkage of Lake Mead’s shorelines, which now sit lower than any time since the 1930s.", "hits": 400 }, { "id": 5625, "url": "https://svs.gsfc.nasa.gov/5625/", "result_type": "Visualization", "release_date": "2026-03-25T00:00:00-04:00", "title": "GUARDIAN Warns Hawaii Early of Incoming Kamchatka Tsunami", "description": "GUARDIAN is a near-real-time ionospheric monitoring software that uses multi-GNSS total electron content time series to detect natural hazard signatures over the Pacific. Its AI-powered extension, GUARDIAN Scout, automates earthquake and tsunami detection. On July 29, 2025, GUARDIAN detected an incoming tsunami triggered by a magnitude 8.8 Kamchatka earthquake 32 minutes before the earliest tidal gauge detection, demonstrating its life-saving early warning potential.", "hits": 146 }, { "id": 5626, "url": "https://svs.gsfc.nasa.gov/5626/", "result_type": "Visualization", "release_date": "2026-03-25T00:00:00-04:00", "title": "GUARDIAN Warns Hawaii Early of Incoming Kamchatka Tsunami (Vertical version)", "description": "This data visualizaton show the Kamchatka earthquake, soon followed by GUARDIAN stations G027 and QSPP early warning detections. NOAA's MOST simulation then shows the progression of the tsunami waves across the Pacific Ocean. Guardian station KOKB (Hawaii) picks up the incoming tsunami wave followed by Hawaii's tidal gauge detectors.", "hits": 102 }, { "id": 14947, "url": "https://svs.gsfc.nasa.gov/14947/", "result_type": "Produced Video", "release_date": "2026-01-20T11:00:00-05:00", "title": "Webb Spectrum and Image Animations", "description": "These are animated versions of James Webb Space Telescope imagery and spectra. The spectra visualizations were created by the Space Telescope Science Institute and then animated at NASA's Goddard Space Flight Center. || ", "hits": 270 }, { "id": 5442, "url": "https://svs.gsfc.nasa.gov/5442/", "result_type": "Visualization", "release_date": "2025-01-29T12:00:00-05:00", "title": "Water Cycle Nonstationarity", "description": "The global water cycle is undergoing unprecedented shifts from climate change, intensified by human water and land management practices. These changes are evident in phenomena such as depleted groundwater, earlier snowmelt, and erratic fluctuations in floods and drought occurrences. To better understand these changes in terrestrial water storage, scientists have integrated multiple remote sensing datasets with NASA’s advanced land surface model through data assimilation, creating a global water storage reanalysis dataset. The results capture the complex patterns of global water cycle shifts in response to both climate and human activities. Using this new integrated dataset, scientists use statistical methods (time series analysis) to identify trends (TR), seasonal shifts (SS), and changes in extreme events (EFR), ultimately developing an index, the “Nonstationarity Index,” (NSI) that quantifies the degree of nonstationarity within the global water system. || ", "hits": 76 }, { "id": 5373, "url": "https://svs.gsfc.nasa.gov/5373/", "result_type": "Visualization", "release_date": "2024-09-03T13:00:00-04:00", "title": "PREFIRE First Light", "description": "Visualization emphasizing two passes of PREFIRE over Greenland. Information about the rates of atmospheric emission can be derived from the change in emission at the intersection of the passes. || prefire_first_light_FINAL_2160p30.00450_print.jpg (1024x576) [224.8 KB] || prefire_first_light_FINAL_2160p30.00450_thm.png (80x40) [6.3 KB] || prefire_first_light_FINAL_2160p30.00450_searchweb.png (320x180) [78.7 KB] || prefire_first_light_FINAL [0 Item(s)] || prefire_first_light_FINAL_1080p30.mp4 (1920x1080) [47.2 MB] || prefire_first_light_FINAL_4K [0 Item(s)] || prefire_first_light_FINAL_2160p30.mp4 (3840x2160) [133.7 MB] || prefire_first_light_FINAL_2160p30.mp4.hwshow [199 bytes] || ", "hits": 35 }, { "id": 5313, "url": "https://svs.gsfc.nasa.gov/5313/", "result_type": "Visualization", "release_date": "2024-06-14T00:00:00-04:00", "title": "Change in Night Lights between 2012 and 2023 - EIC Version", "description": "This global, flat map view of night lights data begins with a time series depicting annual averages from 2012 to 2023. The lights then fade away to reveal night lights change between 2012 and 2023, with regions of more light depicted in purple and regions with less light depicted in orange. The sequence then repeats with pop-out, zoomed-in views of India, Ukraine, Western Europe, and the Eastern Mediterranean region. || nightlights_flat_series_and_change_wZooms_13_EIC.02599_print.jpg (1024x288) [62.0 KB] || nightlights_flat_series_and_change_wZooms_13_EIC.02599_searchweb.png (320x180) [49.9 KB] || nightlights_flat_series_and_change_wZooms_13_EIC.02599_thm.png (80x40) [4.6 KB] || nightlights_2012-2023_change_flat_eic [0 Item(s)] || nightlights_flat_series_and_change_wZooms_13_EIC_2160p30_h265.mp4 (7680x2160) [32.7 MB] || nightlights_flat_series_and_change_wZooms_13_EIC_prores.mov (7680x2160) [4.0 GB] || ", "hits": 255 }, { "id": 5276, "url": "https://svs.gsfc.nasa.gov/5276/", "result_type": "Visualization", "release_date": "2024-05-27T00:00:00-04:00", "title": "Change in Night Lights between 2012 and 2023", "description": "This global, flat map view of night lights data begins with a time series depicting annual averages from 2012 to 2023. The lights then fade away to reveal night lights change between 2012 and 2023, with regions of more light depicted in purple and regions with less light depicted in orange. The sequence then repeats with two pop-out, zoomed-in views of India and Ukraine.", "hits": 482 }, { "id": 31281, "url": "https://svs.gsfc.nasa.gov/31281/", "result_type": "Hyperwall Visual", "release_date": "2024-05-07T00:00:00-04:00", "title": "Aurora Australis as seen from ISS", "description": "The photographs used to make this video were taken on August 17, 2022 from 19:13:45 to 19:33:41 GMT from the International Space Station (ISS). This image sequence begins over the the Southern Ocean halfway between Africa and Antarctica. Green and Red Aurora Australis is visible throughout the time series. Towards the end, Australia comes into view and the yellow night lights of Perth and smaller cities are visible. || ", "hits": 539 }, { "id": 31195, "url": "https://svs.gsfc.nasa.gov/31195/", "result_type": "Hyperwall Visual", "release_date": "2024-04-16T00:00:00-04:00", "title": "50+ years of Landsat: Las Vegas", "description": "The city of Las Vegas—meaning the meadows—was established in 1905. In the 1930s, gambling became legalized and construction of the Hoover Dam began, resulting in the city's first growth spurt. Since then, Las Vegas has not stopped growing. Population has reached nearly two million over the past decade, becoming one of the fastest growing metropolitan areas in the world. These false-color images show the rapid urbanization of Las Vegas between 1972 and 2024.", "hits": 208 }, { "id": 5185, "url": "https://svs.gsfc.nasa.gov/5185/", "result_type": "Visualization", "release_date": "2023-12-07T15:00:00-05:00", "title": "PACE orbit with Ocean Color Instrument (OCI) data", "description": "PACE orbiting Earth with Ocean Color Instrument (OCI) swath revealed below || pace_orbit_swath.45_OCIonly_2023-10-27_1527.08000_print.jpg (1024x576) [73.1 KB] || pace_orbit_swath.45_OCIonly_2023-10-27_1527.08000_searchweb.png (320x180) [34.6 KB] || pace_orbit_swath.45_OCIonly_2023-10-27_1527.08000_thm.png (80x40) [3.5 KB] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || pace_orbit_swath.45_OCIonly_2023-10-27_1527_2160p60.mp4 (3840x2160) [24.0 MB] || ", "hits": 66 }, { "id": 40462, "url": "https://svs.gsfc.nasa.gov/gallery/cosmic-cycles3-earthas-art/", "result_type": "Gallery", "release_date": "2023-05-01T00:00:00-04:00", "title": "Cosmic Cycles 3 Earth as Art", "description": "Starting in 1972, nine Landsat satellites have orbited Earth, taking images of the surface. This unprecedented coverage has been tremendously useful to the scientific community, but it has also produced thousands of beautiful high-resolution images of the complex patterns of our world. From the fractal patterns of mountain ranges and river deltas to the precise geometry of agriculture, Landsat has rendered Earth as a work of art.", "hits": 46 }, { "id": 31207, "url": "https://svs.gsfc.nasa.gov/31207/", "result_type": "Hyperwall Visual", "release_date": "2022-11-09T00:00:00-05:00", "title": "Changes in Zachariæ Isstrøm, North East Greenland, from Landsat – 1999-2022", "description": "Zachariae Isstrom glacier, 1999-2022 || ZI-update-2022_00000_print.jpg (1024x576) [314.7 KB] || ZI-update-2022_00000_searchweb.png (320x180) [133.7 KB] || ZI-update-2022_00000_thm.png (80x40) [8.0 KB] || ZI-update-2022_1080p30_3.mp4 (1920x1080) [44.7 MB] || ZI-update-2022_1080p30_3.webm (1920x1080) [6.7 MB] || time-series (3840x2160) [0 Item(s)] || ZI-update-2022_2160p30_3.mp4 (3840x2160) [145.8 MB] || ", "hits": 57 }, { "id": 5019, "url": "https://svs.gsfc.nasa.gov/5019/", "result_type": "Visualization", "release_date": "2022-10-14T11:00:00-04:00", "title": "PACE orbit with swaths and instrument fields of view", "description": "PACE orbiting the Earth showing OCI, HARP2, and SPEXone instument fields of view followed by instrument ground swath patterns || pace_orbit_swath.42_FINAL_HD.09000_print.jpg (1024x576) [110.6 KB] || pace_orbit_swath.42_FINAL_HD.09000.png (1920x1080) [10.1 MB] || pace_orbit_swath.42_FINAL_HD.09000_searchweb.png (320x180) [72.6 KB] || pace_orbit_swath.42_FINAL_HD.09000_thm.png (80x40) [4.6 KB] || pace_orbit_swath.42_FINAL_HD_1080p59.94.mp4 (1920x1080) [70.0 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || pace_orbit_swath.42_FINAL_HD_1080p59.94.webm (1920x1080) [20.3 MB] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || 9600x3240_16x9_30p (9600x3240) [0 Item(s)] || pace_orbit_swath.42_FINAL_4K_2160p59.94.mp4 (3840x2160) [269.9 MB] || ", "hits": 122 }, { "id": 4971, "url": "https://svs.gsfc.nasa.gov/4971/", "result_type": "Visualization", "release_date": "2022-06-07T10:00:00-04:00", "title": "Monitoring Changing Waters using the Gulf of Maine Atlantic Time Series (GNATS)", "description": "Visualization of 20 years of data from the Gulf of Maine North Atlantic Time Series (GNATS). The data shown are temperatures at the water's surface and below the surface. Satellite based sea surface temperatures are also shown. This version does not include date or color bar overlays. || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458.02970_print.jpg (1024x576) [149.8 KB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458.02970_thm.png (80x40) [6.1 KB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458.02970_searchweb.png (320x180) [73.4 KB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458.02970_web.png (320x180) [73.4 KB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458_1080p29.97.mp4 (1920x1080) [76.4 MB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458_1080p29.97.webm (1920x1080) [12.0 MB] || 3840x2160_16x9_60p (3840x2160) [1.0 MB] || 9600x3240_16x9_30p (9600x3240) [1.0 MB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458_2160p59.94.mp4 (3840x2160) [249.3 MB] || preview_5x3_hyperwall_gulf_of_maine.mp4 (2400x810) [129.1 MB] || ", "hits": 82 }, { "id": 31161, "url": "https://svs.gsfc.nasa.gov/31161/", "result_type": "Hyperwall Visual", "release_date": "2021-10-25T00:00:00-04:00", "title": "Shrinking Tropical Ice Areas", "description": "Ten selected false-color Landsat images from 1980 to 2020 show the progressive loss of ice from the highest part of the Surdiman Range, part of the Maoke ‘Snow’ Mountains in the Indonesian Province of Papua on the island of New Guinea. This location is about 4 degrees south of the Equator but the rocky peaks near Puncak Jaya (4884 m or 16,020 ft at the highest point) are known to have had extensive glacial ice cover for thousands of years. Excluding the small ice area once found near Ngga Pilimsit, from an initial ice area of ~6.3 km2 in 1980 near the highest peaks east of the vast Grasberg Mine, only about 0.3 km2 of glacial ice remains in these mountains. The imagery series also gives the approximate dates of when specific ice remnants disappeared. Each image in the time series has an area of about 16.9 x 9.5 km (10.5 x 5.9 mi). || v2-puncakjaya-time-series_00000_print.jpg (1024x576) [135.3 KB] || v2-puncakjaya-time-series_00000_searchweb.png (320x180) [87.4 KB] || v2-puncakjaya-time-series_00000_thm.png (80x40) [6.5 KB] || v2-puncakjaya-time-series_1080p30.mp4 (1920x1080) [24.3 MB] || v2-puncakjaya-time-series_1080p30.webm (1920x1080) [5.6 MB] || puncakjaya (3840x2160) [128.0 KB] || v2-puncakjaya-time-series_2160p30.mp4 (3840x2160) [58.3 MB] || ", "hits": 110 }, { "id": 4908, "url": "https://svs.gsfc.nasa.gov/4908/", "result_type": "Visualization", "release_date": "2021-06-30T11:00:00-04:00", "title": "Climate Drivers", "description": "Data visualization of human and natural drivers of climate change for the period 1850-2018, showcasing data products from NASA's GISS Model E 2.1-G and observations.Dr. Gavin Schmidt uses this visual to explain NASA's role in tracking and predicting climate at the 2021 COP26 conference - https://www.youtube.com/watch?v=CCAcKuJaJOg. || ClimateDrivers_3840x2160_30fps_923_print.jpg (1024x576) [106.7 KB] || ClimateDrivers_3840x2160_30fps_923_searchweb.png (320x180) [44.7 KB] || ClimateDrivers_3840x2160_30fps_923_thm.png (80x40) [4.9 KB] || ClimateDrivers_1080p30.mp4 (1920x1080) [13.2 MB] || ClimateDrivers_1080p30.webm (1920x1080) [3.6 MB] || Composite (3840x2160) [0 Item(s)] || ClimateDrivers_3840x2160p30.mp4 (3840x2160) [36.1 MB] || ClimateDrivers_3840x2160_30fps_923.tif (3840x2160) [31.7 MB] || ClimateDrivers_1080p30.mp4.hwshow || ", "hits": 368 }, { "id": 4834, "url": "https://svs.gsfc.nasa.gov/4834/", "result_type": "Visualization", "release_date": "2020-08-31T11:00:00-04:00", "title": "First Global Survey of Glacial Lakes Shows 30-Years of Dramatic Growth", "description": "Data visualization featuring the glacier rich region of the Himalayas, along with many of Earth’s highest peaks. The visualization sequence starts with a wide view of the Tibetan plateau and moves along a hiking path highlighting Mt. Everest, Mt. Lhotse, Mt Nuptse, the Everest Base Camp, the Khumbhu glacier, all the way to Imja Lake. Moving to a top-down view of Imja Lake, a time series of Landsat data unveils its dramatic growth for the period 1989-2019.This video is also available on our YouTube channel. || imja_final_4k.4600_print.jpg (1024x576) [114.8 KB] || imja_final_4k.4600_searchweb.png (320x180) [101.5 KB] || imja_final_4k.4600_web.png (320x180) [101.5 KB] || imja_final_4k.4600_thm.png (80x40) [7.5 KB] || imja_final_HD_1080p60.mp4 (1920x1080) [72.9 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || imja_final_HD_1080p60.webm (1920x1080) [19.7 MB] || with_cities (3840x2160) [0 Item(s)] || captions_silent.30013.en_US.srt [43 bytes] || imja_final_4k_2160p60.mp4 (3840x2160) [215.1 MB] || imja_final_2160p60_prores.mov (3840x2160) [16.9 GB] || ", "hits": 207 }, { "id": 13699, "url": "https://svs.gsfc.nasa.gov/13699/", "result_type": "Produced Video", "release_date": "2020-08-31T11:00:00-04:00", "title": "Tracking Three Decades of Dramatic Glacial Lake Growth", "description": "Music: \"Dew\" by Matthew Nicholson [PRS], Suki Jeanette Finn [PRS]This video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by pond5.com is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Complete transcript available. || ImjaLake.jpg (1920x1080) [1.2 MB] || ImjaLake_print.jpg (1024x576) [382.8 KB] || ImjaLake_searchweb.png (320x180) [109.6 KB] || ImjaLake_web.png (320x180) [109.6 KB] || ImjaLake_thm.png (80x40) [7.5 KB] || 13699_GlacierLake820.mov (1920x1080) [1.9 GB] || 13699_GlacierLake820.mp4 (1920x1080) [138.4 MB] || 13699_GlacierLake820.webm (1920x1080) [15.0 MB] || GlacierLake820.en_US.srt [2.1 KB] || GlacierLake820.en_US.vtt [2.1 KB] || ", "hits": 132 }, { "id": 4810, "url": "https://svs.gsfc.nasa.gov/4810/", "result_type": "Visualization", "release_date": "2020-04-24T00:00:00-04:00", "title": "Reductions in Pollution Associated with Decreased Fossil Fuel Use Resulting from COVID-19 Mitigation", "description": "Over the past several weeks, the United States has seen significant reductions in air pollution over its major metropolitan areas. Similar reductions in air pollution have been observed in other regions of the world. || Tropospheric NO2 Column, Animated GIF || cropped_NO2_2019_2020.gif (848x862) [54.4 MB] || cropped_NO2_2019_2020_print.jpg (1024x1040) [318.2 KB] || cropped_NO2_2019_2020_searchweb.png (320x180) [102.2 KB] || ", "hits": 134 }, { "id": 40170, "url": "https://svs.gsfc.nasa.gov/gallery/air-quality/", "result_type": "Gallery", "release_date": "2020-04-01T00:00:00-04:00", "title": "Air Quality ", "description": "Air is all around us, but it’s hard to see when harmful particulates are, too. That’s why we use NASA’s Earth-observing satellites to track air quality on our home planet. The data they generate are incorporated into products like the U.S. Air Quality Index the public uses to make decisions that protect their health and well-being.", "hits": 108 }, { "id": 31100, "url": "https://svs.gsfc.nasa.gov/31100/", "result_type": "Hyperwall Visual", "release_date": "2020-03-30T00:00:00-04:00", "title": "Global Transport of Smoke from Australian Bushfires", "description": "Animation of global aerosols from August 1, 2019 to January 29, 2020 || australia_fire_smoke_print.jpg (1024x576) [184.6 KB] || australia_fire_smoke.png (3840x2160) [8.2 MB] || australia_fire_smoke_searchweb.png (180x320) [104.5 KB] || australia_fire_smoke_thm.png (80x40) [7.7 KB] || australia_fire_smoke_720p.webm (1280x720) [11.3 MB] || australia_fire_smoke_1080p.mp4 (1920x1080) [228.5 MB] || AerosolFrames (10080x5043) [0 Item(s)] || AerosolFrames (5760x3240) [0 Item(s)] || australia_fire_smoke_2160p.mp4 (3840x2160) [688.8 MB] || ", "hits": 142 }, { "id": 13484, "url": "https://svs.gsfc.nasa.gov/13484/", "result_type": "Produced Video", "release_date": "2019-12-04T13:00:00-05:00", "title": "Parker Solar Probe First Findings - Media Telecon", "description": "NASA to Present First Parker Solar Probe Findings in Media TeleconferenceNASA will announce the first results from the Parker Solar Probe mission, the agency's mission to \"touch\" the Sun, during a media teleconference at 1:30 pm EST on Wednesday, Dec. 4, 2019.Parker has traveled closer to our star than any human-made object before it. The teleconference will discuss the first papers from the principal investigators of the mission’s four instruments. The papers will be published online Wednesday in Nature at 1 pm EST.The teleconference audio will stream live at:https://www.nasa.gov/nasaliveParticipants in the call are: •Nicola Fox, director of the Heliophysics Division, Science Mission Directorate, NASA Headquarters, Washington•Stuart Bale, principal investigator of the FIELDS instrument at the University of California, Berkeley•Justin Kasper, principal investigator of the SWEAP instrument at the University of Michigan in Ann Arbor•Russ Howard, principal investigator of the WISPR instrument at the Naval Research Laboratory in Washington•David McComas, principal investigator of the ISʘIS instrument at Princeton University in Princeton, N.J. || ", "hits": 98 }, { "id": 4750, "url": "https://svs.gsfc.nasa.gov/4750/", "result_type": "Visualization", "release_date": "2019-09-30T12:00:00-04:00", "title": "Weekly Arctic Sea Ice Age with Graph of Ice Age By Area: 1984 - 2019", "description": "This visualization shows the age of the Arctic sea ice between 1984 and 2019. Younger sea ice, or first-year ice, is shown in a dark shade of blue while the ice that is four years old or older is shown as white. A graph displayed in the upper left corner quantifies the area covered sea ice 4 or more years old in millions of square kilometers.This video is also available on our YouTube channel. || IceAge_2019_comp_withGraph.3714_print.jpg (1024x576) [124.7 KB] || IceAge_2019_comp_withGraph.3714_searchweb.png (320x180) [71.6 KB] || IceAge_2019_comp_withGraph.3714_thm.png (80x40) [6.3 KB] || IceAge_2019_comp_withGraph_1080p30.mp4 (1920x1080) [90.9 MB] || IceAge_2019_comp_withGraph_1080p30.webm (1920x1080) [14.9 MB] || iceAge_withGraph (3840x2160) [0 Item(s)] || captions_silent.27894.en_US.srt [43 bytes] || IceAge_2019_comp_withGraph_2160p30.mp4 (3840x2160) [255.2 MB] || IceAge_2019_comp_withGraph_1080p30.mp4.hwshow [200 bytes] || ", "hits": 203 }, { "id": 4625, "url": "https://svs.gsfc.nasa.gov/4625/", "result_type": "Visualization", "release_date": "2019-05-17T17:00:00-04:00", "title": "25 Years of Antarctic Land Ice Elevation Change Anomalies (West Coast Fly Over)", "description": "This data visualization depicts the last 25 years of land ice elevation change. Areas in red indicate land ice loss. Areas in blue are regions that saw land ice elevation gains. The camera starts with a view of the Earth and then flies down to Antarctica where it pauses to watch the 25 years of data unfold. Once the data reaches the end of 2017, the camera then flies down over the western Antarctic coast and then backs up across the central region. || expo_comp.1200_print.jpg (1024x576) [64.8 KB] || expo_comp.1200_searchweb.png (320x180) [56.2 KB] || expo_comp.1200_thm.png (80x40) [5.4 KB] || expo_comp_1080p30.mp4 (1920x1080) [65.3 MB] || expo_comp_1080p30.webm (1920x1080) [21.1 MB] || 1920x1080_16x9_30p (1920x1080) [256.0 KB] || ", "hits": 49 }, { "id": 30977, "url": "https://svs.gsfc.nasa.gov/30977/", "result_type": "Hyperwall Visual", "release_date": "2019-03-29T00:00:00-04:00", "title": "Nighttime Views of the 2018 Kilauea Eruption", "description": "An animation of Landsat-8 truecolor and nighttime imagery shows the prograssion of the East Rift Zone eruption. || kilauea_2018_east_rift_zone_20180712_print.jpg (1024x576) [70.6 KB] || kilauea_2018_east_rift_zone_20180712.png (3840x2160) [1.8 MB] || kilauea_2018_east_rift_zone_20180712_searchweb.png (320x180) [45.1 KB] || kilauea_2018_east_rift_zone_20180712_thm.png (80x40) [3.8 KB] || kilauea_2018_east_rift_zone_720p.mp4 (1280x720) [2.7 MB] || kilauea_2018_east_rift_zone_720p.webm (1280x720) [1.9 MB] || ", "hits": 75 }, { "id": 4726, "url": "https://svs.gsfc.nasa.gov/4726/", "result_type": "Visualization", "release_date": "2019-03-27T00:00:00-04:00", "title": "New Island forms in Tonga (Updated)", "description": "This visualization shows the evolution Tonga's new island between January 2015 and March 2018. || Tonga_evolutn.1300_print.jpg (1024x576) [129.1 KB] || Tonga_evolutn.1300_searchweb.png (320x180) [84.2 KB] || Tonga_evolutn.1300_web.png (320x180) [84.2 KB] || Tonga_evolutn_Wcredits_1080p30.mp4 (1920x1080) [43.0 MB] || Tonga_evolutn_Wcredits_1080p30_h265.mp4 (1920x1080) [17.9 MB] || Tonga_evolutn_Wcredits_1080p30.webm (1920x1080) [5.8 MB] || Tonga_evolutn_Wcredits_2160p30_h265.mp4 (3840x2160) [50.9 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || Tonga_evolutn_Wcredits_2160p30.mp4 (3840x2160) [140.4 MB] || Tonga_evolutn_Wcredits_1080p30_h265.mp4.hwshow || ", "hits": 137 }, { "id": 30215, "url": "https://svs.gsfc.nasa.gov/30215/", "result_type": "Hyperwall Visual", "release_date": "2019-03-15T18:00:00-04:00", "title": "Urban Growth in Las Vegas", "description": "The city of Las Vegas—meaning the meadows—was established in 1905. Its grassy meadows and artesian springs attracted settlers traveling across the arid Desert Southwest in the early 1800s. In the 1930s, gambling became legalized and construction of the Hoover Dam began, resulting in the city's first growth spurt. Since then, Las Vegas has not stopped growing. Population has reached nearly two million over the past decade, becoming one of the fastest growing metropolitan areas in the world. These false-color images show the rapid urbanization of Las Vegas between 1972 and 2018. The city streets and other impervious surfaces appear gray, while irrigated vegetation appears red. Over the years, the expansion of irrigated vegetation (e.g., lawns and golf courses) has stretched the city’s desert bounds. || ", "hits": 336 }, { "id": 4695, "url": "https://svs.gsfc.nasa.gov/4695/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Niño 3.4 Index and Sea Surface Temperature Anomaly Timeline: 1982-2017", "description": "This visualization captures Sea Surface Temperature (SST) anomalies around the world from 1982 to 2017, along with a corresponding timeplot graph focusing on the Niño 3.4 SST Index region (5N-5S, 120W-170W), which represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the El Niño years, in which sea surface temperature anomalies peaked: 1982-1983, 1997-1998, and 2015-2016. || NINO3.4SST_FlatMapComposite_1920x1080_00932_print.jpg (1024x576) [104.9 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_searchweb.png (320x180) [72.1 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_thm.png (80x40) [6.8 KB] || SST_Nino3.4Index_1982_2017_Composite (1920x1080) [0 Item(s)] || NINO3.4SST_FlatMapComposite_1920x1080_p30.mp4 (1920x1080) [57.2 MB] || NINO3.4SST_FlatMapComposite_1920x1080_00932.tif (1920x1080) [1.4 MB] || NINO3.4SST_FlatMapComposite_1920x1080_p30.webm (1920x1080) [9.3 MB] || SSTNino3.4Index_1982_2017_Composite (3840x2160) [0 Item(s)] || ", "hits": 640 }, { "id": 4697, "url": "https://svs.gsfc.nasa.gov/4697/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "ENSO teleconnections in South East Asia for the period of 2015-2016", "description": "The 2015-2016 strong El Niño event brought changes to weather conditions across the globe that triggered regional infectious disease outbreaks, including mosquito-borne dengue fever in South East Asia. This visualization with corresponding multi-plot graph shows how Sea Surface Temperature anomalies in the equatorial Pacific Ocean (left), resulted in anomalous drought conditions (center) and increase in land surface temperatures (right) in South East Asia. During the 2015-2016 El Niño event, the South East Asia region received below than normal precipitation resulting in drier and warner than normal conditions, which increased the populations of mosquito vectors in urban areas, where there are open water storage containers providing ideal habitats for mosquito production. In addition, the higher than normal temperature on land shortens the maturation time of larvae to adult mosquitos and induces frequent blood feeding/biting of humans by mosquito vectors resulting in the amplification of dengue disease outbreaks over the South East Asia region. || SST_LST_Precip_2014_2016_Comp_print.jpg (1024x576) [82.9 KB] || SST_LST_Precip_2014_2016_Comp_searchweb.png (320x180) [51.5 KB] || SST_LST_Precip_2014_2016_Comp_thm.png (80x40) [6.0 KB] || SST_Precip_LST_Plot_Composite (1920x1080) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4 (1920x1080) [9.7 MB] || SST_LST_Precip_2014_2016_Comp.tif (1920x1080) [1.1 MB] || SST_LST_Precip_2014_2016_Comp_1080p30.webm (1920x1080) [4.2 MB] || TeleconnectionsSEAsia (3840x2160) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4.hwshow [203 bytes] || ", "hits": 99 }, { "id": 31014, "url": "https://svs.gsfc.nasa.gov/31014/", "result_type": "Hyperwall Visual", "release_date": "2018-12-14T00:00:00-05:00", "title": "Peru's Shrinking Tropical Ice Caps", "description": "Map of the region || PeruBaseMapCoropunaQuelccayaannosm_print.jpg (1024x574) [150.0 KB] || PeruBaseMapCoropunaQuelccayaannosm.png (4104x2304) [44.6 MB] || ", "hits": 41 }, { "id": 4700, "url": "https://svs.gsfc.nasa.gov/4700/", "result_type": "Visualization", "release_date": "2018-12-05T09:00:00-05:00", "title": "PACE - Studying Plankton, Aerosols, Clouds, and the Ocean Ecosystem", "description": "The visualization starts close on the PACE spacecraft. A representative data swath is shown, depicting biosphere plankton data. The camera then pulls out to show the spacecraft's polar orbit. Complete global coverage is achieved after approximately two days of orbits. Over time, the data swath cycles between biosphere, aerosol, and cloud data, representing PACE's collective mission to study Earth's ocean and atmosphere. This version end with animated biosphere data. || pace_v2_4k_0245_print.jpg (1024x576) [36.4 KB] || pace_v2_4k_0245_searchweb.png (320x180) [39.7 KB] || pace_v2_4k_0245_thm.png (80x40) [3.7 KB] || pace_v3_1080p30.mp4 (1920x1080) [30.0 MB] || pace_comp3_animated-biosphere (3840x2160) [0 Item(s)] || pace_v3_2160p30.mp4 (3840x2160) [94.4 MB] || pace_v3_2160p30.webm (3840x2160) [19.1 MB] || 600-science-overview-003.hwshow || ", "hits": 65 }, { "id": 4678, "url": "https://svs.gsfc.nasa.gov/4678/", "result_type": "Visualization", "release_date": "2018-09-07T00:00:00-04:00", "title": "Rink Glacier Multi-Year Surface Elevation Comparison", "description": "Since 1993, the Airborne Topographic Mapper or ATM has been monitoring elevation changes of 160 outlet glaciers in Greenland, many of them on an almost annual basis. Rink Glacier in central west Greenland is one example of a 25-year-long time series of elevation changes. In these visualizations, elevation data for each aircraft flight over the glacier are illustrated using spheres 1m in diameter, with each sphere representing a specific measurement. When viewed together, the spheres form sheets defining the observed surface of the glacier for a given year. The spheres are colored by year, and over time we can see how the glacier's elevation changes. Towards the end of the visualization, the study area of the Rink Glacier is compared to the future coverage of the Ice, Cloud and land Elevation Satellite-2 (ICESat-2), as represented by bright green crisscrossing ground tracks. || ", "hits": 28 }, { "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": 47 }, { "id": 40348, "url": "https://svs.gsfc.nasa.gov/gallery/esddatafor-societal-benefits/", "result_type": "Gallery", "release_date": "2018-04-24T00:00:00-04:00", "title": "ESD data for Societal Benefit", "description": "No description available.", "hits": 199 }, { "id": 30938, "url": "https://svs.gsfc.nasa.gov/30938/", "result_type": "Hyperwall Visual", "release_date": "2018-04-04T00:00:00-04:00", "title": "Ice Losses in Tropical Asia", "description": "Progression from 1980-2018 || L2to8_1980_HWcrop2_1080p.00001_print.jpg (1024x576) [99.1 KB] || L2to8_1980_HWcrop2_1080p.00001_searchweb.png (320x180) [87.8 KB] || L2to8_1980_HWcrop2_1080p.00001_thm.png (80x40) [6.4 KB] || L2to8_1980_HWcrop2_1080p.mp4 (1920x1080) [5.2 MB] || L2to8_1980_HWcrop2_720p.mp4 (1280x720) [3.0 MB] || L2to8_1980_HWcrop2_1080p.webm (1920x1080) [4.1 MB] || L2to8_1980_HWcrop2_2304p.mp4 (4096x2304) [16.1 MB] || 4104x2304_16x9_30p (4104x2304) [0 Item(s)] || ", "hits": 27 }, { "id": 4602, "url": "https://svs.gsfc.nasa.gov/4602/", "result_type": "Visualization", "release_date": "2017-12-11T10:00:00-05:00", "title": "New island forms in Tonga", "description": "This visualization shows the change in the island of Hunga Tonga Hunga Ha'apa between January 2015 and September 2017.This video is also available on our YouTube channel. || Tonga_v60_vis.0780_print.jpg (1024x576) [123.5 KB] || Tonga_v60_vis.0780_searchweb.png (320x180) [76.8 KB] || Tonga_v60_vis.0780_thm.png (80x40) [6.0 KB] || new_island_vis (1920x1080) [0 Item(s)] || Tonga_v60_vis_1080p30.mp4 (1920x1080) [33.3 MB] || Tonga_v60_vis_1080p30.webm (1920x1080) [5.1 MB] || Tonga_4k_final2_1080p30.mp4 (1920x1080) [34.3 MB] || new_island_vis (3840x2160) [0 Item(s)] || Tonga_4k_final2_2160p30.mp4 (3840x2160) [52.0 MB] || Tonga_v60_vis_1080p30.mp4.hwshow [187 bytes] || ", "hits": 116 }, { "id": 30914, "url": "https://svs.gsfc.nasa.gov/30914/", "result_type": "Hyperwall Visual", "release_date": "2017-12-06T14:00:00-05:00", "title": "Pine Island Glacier Retreat, Antarctica", "description": "This visualization shows Sentinel-1 imagery from October 2014 to October 2017 over Pine Island Glacier in West Antarctica. The advance and retreat of the front of this ~35-kilometer (~22-mile) wide outlet glacier can be seen in this 6-day interval image series. The rapid flow of inland ice causes the glacier front to advance and two major calving events cause the ice front to retreat.Combined, the 2015 and 2017 calving events have led to the glacier’s ice front being fully disconnected from the North Ice Shelf. The changes to this large outlet from West Antarctica could signal additional sea level contributions from this glacier and the even larger outlet to the west, Thwaites Glacier.Credit: Stef Lhermitte, Delft University of Technology, NetherlandsContains modified Copernicus Sentinel data (2017), processed by ESA || pine_island_1080p.00001_print.jpg (1024x576) [180.8 KB] || pine_island_1080p.00001_searchweb.png (320x180) [98.2 KB] || pine_island_1080p.00001_thm.png (80x40) [6.7 KB] || pine_island_1080p.mp4 (1920x1080) [54.5 MB] || pine_island_720p.mp4 (1280x720) [26.3 MB] || pine_island_1080p.webm (1920x1080) [5.0 MB] || 4104x2304_16x9_30p (4104x2304) [0 Item(s)] || pine_island_2304p.mp4 (4096x2304) [156.5 MB] || ", "hits": 65 }, { "id": 4592, "url": "https://svs.gsfc.nasa.gov/4592/", "result_type": "Visualization", "release_date": "2017-10-16T00:00:00-04:00", "title": "Annual Arctic Sea Ice Minimum 1979-2017 (SSMI data)", "description": "The annual minimum Arctic sea ice from 1979-2017. || seaIce_framePerYear_HD.2017_print.jpg (1024x576) [141.0 KB] || seaIce_framePerYear_HD.2017_searchweb.png (320x180) [88.9 KB] || seaIce_framePerYear_HD.2017_thm.png (80x40) [6.3 KB] || nodates (1920x1080) [0 Item(s)] || no_dates_20fps (1920x1080) [0 Item(s)] || nodates_seaIce_20framesPerYear_HD_1080p30.mp4 (1920x1080) [14.3 MB] || nodates_seaIce_20framesPerYear_HD_1080p30.webm (1920x1080) [1.5 MB] || ", "hits": 84 }, { "id": 30888, "url": "https://svs.gsfc.nasa.gov/30888/", "result_type": "Hyperwall Visual", "release_date": "2017-08-01T15:00:00-04:00", "title": "A Human-Driven Decline in Global Burned Area", "description": "Global Burned Area annual change, plus overall trend || time_series_fraction_hw_1080p.00001_print.jpg (1024x576) [205.5 KB] || time_series_fraction_hw_1080p.00001_searchweb.png (320x180) [102.4 KB] || time_series_fraction_hw_1080p.00001_thm.png (80x40) [7.3 KB] || time_series_fraction_hw_1080p.mp4 (1920x1080) [8.0 MB] || time_series_fraction_hw_720p.mp4 (1280x720) [4.0 MB] || time_series_fraction_hw_1080p.webm (1920x1080) [2.2 MB] || time_series_fraction_hw_2304p.mp4 (4096x2304) [26.3 MB] || hw (4104x2304) [128.0 KB] || ", "hits": 51 }, { "id": 4523, "url": "https://svs.gsfc.nasa.gov/4523/", "result_type": "Visualization", "release_date": "2017-03-29T13:00:00-04:00", "title": "Irrigation and Groundwater Depletion", "description": "A time series of global irrigation and groundwater depletion maps reveals geographical patterns in the use of fresh water for agriculture.The amount of water involved is enormous. Worldwide, the irrigation of farmland accounts for about 70% of the fresh water diverted by human activity. We might each drink only a few liters (quarts) of water per day, but the food we eat can require a thousand times as much water to produce. Some of the underground aquifers tapped for irrigation replenish so slowly that they are considered a non-renewable resource. The overuse of this groundwater could have long-term consequences for food security and the stability of global markets in food, cotton, and other agricultural products.A new study by researchers at University College London and NASA's Goddard Institute of Space Studies in New York City combines trade data and a global water usage model to determine which crops are grown with non-renewable groundwater and where those crops are consumed. The study appears in the March 30, 2017 issue of Nature. || ", "hits": 203 }, { "id": 40318, "url": "https://svs.gsfc.nasa.gov/gallery/vcearth-interactive/", "result_type": "Gallery", "release_date": "2017-02-13T00:00:00-05:00", "title": "VC Earth Interactive", "description": "Items for the digital interactive in the VC Earth science exhibit", "hits": 42 }, { "id": 30768, "url": "https://svs.gsfc.nasa.gov/30768/", "result_type": "Hyperwall Visual", "release_date": "2016-07-31T00:00:00-04:00", "title": "September Arctic Sea Ice", "description": "Satellite-based passive microwave images of sea ice have provided a reliable tool for continuously monitoring changes in the Arctic ice since 1979. During Northern Hemisphere spring and summer months, the Arctic sea ice melts considerably, usually reaching its minimum extent in September, before colder weather begins to cause ice cover to increase during fall and winter months. This series of images shows Arctic sea ice extent for a selection of years using data from AMSR-E and AMSR2. The burgundy area represents the median sea ice extent observed by satellite sensors in September from 1979 to 2000. Over the last few decades, the average global temperature has been on the rise—and temperatures in the Arctic have risen at nearly twice the rate as temperatures elsewhere on the planet. As temperatures rise in the Arctic, the extent of sea ice declines. Sea ice is highly reflective of the sun’s energy; therefore, reductions in sea ice impact Earth’s radiation budget. Rather than reflecting most of the sun’s energy, ice-free areas absorb sunlight causing subsequent warming of the ocean. || ", "hits": 36 }, { "id": 40297, "url": "https://svs.gsfc.nasa.gov/gallery/hyperwall29-mar2016/", "result_type": "Gallery", "release_date": "2016-03-29T00:00:00-04:00", "title": "Hyperwall 29 Mar 2016", "description": "Content for the March 2016 Hyperwall Content News mailing list", "hits": 0 }, { "id": 30754, "url": "https://svs.gsfc.nasa.gov/30754/", "result_type": "Hyperwall Visual", "release_date": "2016-03-17T00:00:00-04:00", "title": "Ocean Color Time Series", "description": "Ocean Color, July 2002 - March 2017 || ocean_color_mollweide_1080p.00001_print.jpg (1024x576) [147.0 KB] || ocean_color_mollweide_1080p.mp4 (1920x1080) [52.3 MB] || ocean_color_mollweide_720p.mp4 (1280x720) [26.0 MB] || ocean_color_mollweide_1080p.webm (1920x1080) [4.1 MB] || mollweide (4104x2304) [0 Item(s)] || ocean_color_mollweide_2304p.mp4 (4096x2304) [172.6 MB] || ", "hits": 77 }, { "id": 30758, "url": "https://svs.gsfc.nasa.gov/30758/", "result_type": "Hyperwall Visual", "release_date": "2016-03-16T00:00:00-04:00", "title": "March 2016 Total Solar Eclipse", "description": "These two views of the March 2016 total solar eclipse, visible to those living in parts of Indonesia (including Sumatra, Borneo, and Sulawesi) and from locations in the Pacific Ocean, look similar but come from completely different perspectives. The side-by-side visualizations reveal information about the orbits of the two instruments that observed the event. On the left, a series of images taken by NASA’s Earth Polychromatic Imaging Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR) show the eclipse from its orbit at the first Lagrange point (L1)—a point about 1,000,000 miles (1,609,344 km) from Earth where the force of Earth's gravity almost exactly matches that of the Sun. As the DSCOVR spacecraft slowly orbits around L1 (always viewing the sunlit side of Earth) the area of reflected sunlight near the center of the globe remains stationary. During the eclipse, the moon’s shadow crosses the face of the Earth’s surface as Earth appears to rotate from left (west) to right (east) below.In contrast, Himawari-8, a Japanese weather spacecraft, is in geostationary orbit at an altitude of ~35,791 km (22,239 mi). This means that Himawari-8 is positioned over a particular spot on Earth—located at 141 degrees East, 0 degrees North. During the eclipse, the moon's shadow appears mid-ocean and races off to the east (right), while the area of reflected sunlight appears to move right (east) to left (west) across the Earth’s surface. The instruments onboard Himawari-8 and DSCOVR use different spectral bands so the colors of the two images appear different. || ", "hits": 49 }, { "id": 30753, "url": "https://svs.gsfc.nasa.gov/30753/", "result_type": "Hyperwall Visual", "release_date": "2016-02-18T03:00:00-05:00", "title": "Sea Surface Temperature Anomaly Time Series", "description": "Sea Surface Temperature Anomaly February 2015-February 2016 || ssta_flat_1080p_print.jpg (1024x576) [186.0 KB] || ssta_flat_1080p_searchweb.png (320x180) [112.3 KB] || ssta_flat_1080p_thm.png (80x40) [7.9 KB] || ssta_flat_1080p.mp4 (1920x1080) [43.3 MB] || ssta_flat_720p.mp4 (1280x720) [23.2 MB] || ssta_flat_720p.webm (1280x720) [5.5 MB] || ssta_flat_360p.mp4 (640x360) [7.7 MB] || flat (4104x2304) [0 Item(s)] || omniglobe (4104x2052) [0 Item(s)] || ssta_flat_2304p.mp4 (4096x2304) [140.8 MB] || ", "hits": 38 }, { "id": 4407, "url": "https://svs.gsfc.nasa.gov/4407/", "result_type": "Visualization", "release_date": "2015-12-15T11:00:00-05:00", "title": "Monthly burned area from the Global Fire Emissions Database (GFED)", "description": "The final animation of the monthly burned area percent shown in the Robinson projection with a colorbar and date overlay || comp_burned_area_pct.2234_print.jpg (1024x576) [128.4 KB] || comp_burned_area_pct.2234_searchweb.png (320x180) [78.4 KB] || comp_burned_area_pct.2234_thm.png (80x40) [6.4 KB] || comp_burned_area_pct.2234_web.png (320x180) [78.4 KB] || comp_burned_area_pct_1080p30.mp4 (1920x1080) [44.1 MB] || comp_burned_area_pct_1080p30.webm (1920x1080) [8.4 MB] || robinson_final (1920x1080) [0 Item(s)] || Comp_burned_area_pct_720p30.mp4 (1280x720) [26.2 MB] || robinson_final (3840x2160) [0 Item(s)] || comp_burned_area_4407.key [29.7 MB] || comp_burned_area_4407.pptx [27.1 MB] || comp_burned_area_pct_4k_2160p30.mp4 (3840x2160) [142.3 MB] || comp_burned_area_pct_1080p30.mp4.hwshow [228 bytes] || ", "hits": 88 }, { "id": 12095, "url": "https://svs.gsfc.nasa.gov/12095/", "result_type": "Produced Video", "release_date": "2015-12-15T10:30:00-05:00", "title": "AGU El Nino Press Conference Release Materials", "description": "Forty percent of California's annual water supply comes in the form of atmospheric rivers, tendrils of moisture that travel from the Pacific Ocean and rain out when they move over the coast. New research on how El Niño affects atmospheric rivers headed for the California coast suggest that while the number of atmospheric rivers California receives (typically ten per year) will not change during an El Niño, they will be stronger, warmer, and thus wetter. || ", "hits": 40 }, { "id": 4376, "url": "https://svs.gsfc.nasa.gov/4376/", "result_type": "Visualization", "release_date": "2015-10-27T00:00:00-04:00", "title": "Antarctic Mass Change from GRACE derived Gravity Observations: Jan 2004 - Jun 2014", "description": "GRACE, NASA's Gravity Recovery and Climate Experiment, consists of twin co-orbiting satellites that fly in a near polar orbit separated by a distance of 220 km. GRACE precisely measures the distance between the two spacecraft in order to make detailed measurements of the Earth's gravitational field. Since its launch in 2002, GRACE has provided a continuous record of changes in the mass of the Earth's ice sheets.These animations show the change in the mass of the Antarctic Ice Sheet between January 2004 and June 2014 as measured by the pair of GRACE satellites. The 1-arc-deg NASA GSFC mascon solution data was resampled to a 5130 x 5130 data array using Kriging interpolation. A color scale was applied where blue values indicate an increase in the ice sheet mass while red shades indicate a decrease. In addition, a graph overlay shows the running total of the accumulated mass change in gigatons.Four separate animations are shown here: one of the full Antarctic Ice Sheet (above) and three of individual regional views (below) showing the regions of West Antarctica, the Antarctic Peninsula and East Antarctica. The time-series of each region is shown with a graph depicting the ice loss for the region alone. Note that the range on the color scale is different for each regional view in order to portray the most detail possible. Areas outside the region being shown are colored in a pale green to indicate that it is not included in the view. The floating ice shelves, shown in a lighter shade of green, are also not included.Technical Note: The glacial isostatic adjustment signal (Earth mass redistribution in response to historical ice loading) has been removed using the ICE-6G model (Peltier et al. 2015). || ", "hits": 60 }, { "id": 4386, "url": "https://svs.gsfc.nasa.gov/4386/", "result_type": "Visualization", "release_date": "2015-10-09T17:00:00-04:00", "title": "Beyond Graphs: You, Too, Can Be A Data Visualizer!", "description": "This gallery was created for Earth Science Week 2015 and beyond. It includes a quick start guide for educators and first-hand stories (blogs) for learners of all ages by NASA visualizers, scientists and educators. We hope that your understanding and use of NASA's visualizations will only increase as your appreciation grows for the beauty of the science they portray, and the communicative power they hold. Read all the blogs and find educational resources for all ages at: the Earth Science Week 2015 page.As an education specialist for NASA, I help teachers and students access and make sense of data. This often means using a type of visual representation. This could be anything from a simple bar graph to a complex animated visualization. Take a look at the last seven days of global precipitation, or other great examples relating to Visualizing Earth Systems here. While the complex animations may be difficult to replicate, a line or bar graph is just the beginning.I work for the Global Precipitation Measurement (GPM) mission, so let's use snow data for an example. This data is from a big snowstorm that hit upstate New York in November 2014. While the GPM satellite does measure snowfall, we'll start with data collected by \"citizen scientists.\" Citizen science is research conducted by non-professional scientists — which could include you! These particular citizen scientists are part of the Community Collaborative Rain, Hail and Snow Network (CoCoRaHS.)The data below is from one station, graphed using Microsoft Excel. It shows snow accumulation in inches at the location of one monitoring station over four days. (Note: CoCoRaHS reports are made in the morning reflecting the previous 24 hours of precipitation. The dates below show snow that fell the day and night prior.) || ", "hits": 47 }, { "id": 4365, "url": "https://svs.gsfc.nasa.gov/4365/", "result_type": "Visualization", "release_date": "2015-09-30T12:00:00-04:00", "title": "Airborne in the Arctic", "description": "This gallery was created for Earth Science Week 2015 and beyond. It includes a quick start guide for educators and first-hand stories (blogs) for learners of all ages by NASA visualizers, scientists and educators. We hope that your understanding and use of NASA's visualizations will only increase as your appreciation grows for the beauty of the science they portray, and the communicative power they hold. Read all the blogs and find educational resources for all ages at: the Earth Science Week 2015 page.Four turboprop engines roar to life under the autumnal Alaskan sun, and we begin to taxi to the main runway of Eielson Air Force Base. After extensive pre-flight configurations, our science payload is primed for our eight-hour mission. Without delay, the engines’ roar becomes a howl as we hurtle down the nearly three-mile stretch of runway until that near-weightless moment we become airborne. Our mission into the clouds of the arctic is underway.Clouds are important drivers of Earth’s climate by regulating the amount of sunlight that is absorbed at the ground versus what is reflected back into space. You’ve probably experienced this firsthand when sitting outside on a hot and sunny summer day when a fluffy cumulus cloud crosses the sky between you and the sun. The respite that you feel from the heat of the sun’s rays means that that energy is no longer reaching you at the surface. At the lower latitudes where most of us live, these thick, stratiform and cumuliform clouds have a cooling effect because the white cloud reflects the sun’s energy back to space instead of being absorbed by the dark brown soil, green trees and plants, or the blue ocean waters. The story is much more complicated at the high latitudes where the frozen ice surface is also very bright white and reflective. Under these conditions, clouds can actually have a net warming effect because they reflect a similar or smaller amount of the incoming sunlight, but also trap more of the outgoing heat radiation and keep it close to the surface (like a blanket.)The exact balance between heating and cooling depends on the cloud properties - droplet number and size - and where the clouds are located in the atmosphere (high or low altitude as well as overlying dark water or bright ice.) Unraveling these effects is important for understanding how the Earth’s radiation balance and climate exist now and how they are likely to change in the future.Differentiating the impacts of low-level clouds versus Arctic sea ice on sunlight from space is hard, because to a passive satellite sensor orbiting many hundreds of kilometers above the Earth’s surface, both the ice and cloud look very similar. To best visualize this system, we must go to the Arctic with scientific research aircraft to measure the cloud properties just below, above, and within the clouds themselves. This was precisely the motivation behind the NASA Arctic Radiation – IceBridge Sea and Ice Experiment (ARISE), which was conducted in the Alaskan Arctic from September-October, 2014.ARISE carried out 14 science flights aboard the NASA Wallops Flight Facility C-130 Hercules aircraft, which was outfitted with a comprehensive suite of scientific instrumentation including a laser altimeter for measuring the sea ice surface properties, in situ cloud probes, and a sun photometer and two radiometers (SSFR, BBR) for measuring the surface, aerosol, and cloud radiative properties. An example 8-hour flight track is shown for the September 7th science flight in the Google Map below. The aircraft was based at Eielson Air Force Base near Fairbanks, AK, and began each flight by transiting approximately 2 hours north to the vicinity of the ice edge in the Beaufort Sea. On the 7th, the aircraft flew a series of parallel, horizontal legs to cover a single satellite grid box of the overflying NASA Clouds and the Earth's Radiant Energy System (CERES) satellite. These measurements help CERES scientists to understand how small-scale variability in ice and cloud extent and properties affect their satellite-based retrievals. Google map showing the flight track of the NASA C-130 aircraft during a research flight conducted on 7 September 2014 north of the Alaskan coast. Before wrapping up the research flight on the 7th and beginning our 2-hour transit back to Fairbanks, we descended into the low-level clouds to measure their microphysical properties with the in situ cloud probes. The video below shows what it’s like to measure an Arctic cloud from inside it! The left side of the video shows the real-time data time series from our research instruments that we are continuously monitoring in flight. The top-right imagery is from the forward-facing camera in the C-130 cockpit. The bottom-right imagery is from the downward-facing, nadir camera mounted on the bottom of the aircraft. || ", "hits": 24 }, { "id": 40259, "url": "https://svs.gsfc.nasa.gov/gallery/svsdb-esw2015index/", "result_type": "Gallery", "release_date": "2015-09-28T00:00:00-04:00", "title": "Earth Science Week 2015: Visualizing Earth Systems (Oct. 11-17)", "description": "This gallery was created for Earth Science Week 2015 and beyond, and includes a quick start guide for educators and first-hand stories (blogs) for learners of all ages by NASA visualizers, scientists and educators. It's our hope that your understanding and use of NASA's visualizations will only increase as your appreciation grows for the beauty of the science they portray, and the communicative power they hold.ESW is an initiative of the American Geosciences Institute (AGI). NASA is a partner in ESW, collaborating with AGI's Center for Science and Society and the Institute for Global Environmental Strategies (IGES).", "hits": 10 }, { "id": 11733, "url": "https://svs.gsfc.nasa.gov/11733/", "result_type": "Produced Video", "release_date": "2015-01-20T11:00:00-05:00", "title": "Warmest Year On Record", "description": "The year 2014 ranks as Earth’s warmest since 1880. || cf-1024.jpg (1024x576) [201.3 KB] || cf-1280.jpg (1280x720) [272.4 KB] || cf-1920.jpg (1920x1080) [408.3 KB] || cf-1024_print.jpg (1024x576) [194.6 KB] || cf-1024_searchweb.png (320x180) [99.2 KB] || ", "hits": 23 }, { "id": 11611, "url": "https://svs.gsfc.nasa.gov/11611/", "result_type": "Produced Video", "release_date": "2014-07-17T12:00:00-04:00", "title": "Briefing Materials: NASA Field Campaign to Probe Ocean Ecology, Carbon Cycle", "description": "NASA will host a media teleconference at 1 p.m. EDT Thursday, July 17, to discuss new fieldwork using coordinated ship and aircraft observations aimed at advancing the technology needed to measure microscopic plankton in the ocean from space.Press release: http://www.nasa.gov/press/2014/july/nasa-kicks-off-field-campaign-to-probe-ocean-ecology-carbon-cycle/Briefing SpeakersIntroduction 1: Paula Bontempi, ocean biology and biogeochemistry program scientist, NASA Headquarters, WashingtonIntroduction 2: Michael Behrenfeld, ocean plant ecologist, Oregon State University, CorvallisChris Hostetler, atmospheric scientist, NASA's Langley Research Center, Hampton, VirginiaJacek Chowdhary, research scientist, Columbia University, New YorkAlex Gilerson, ocean imager, City College of New YorkIvona Cetinic, ocean ecologist, University of Maine, WalpolePresenter 1: Paula Bontempi || ", "hits": 18 }, { "id": 4184, "url": "https://svs.gsfc.nasa.gov/4184/", "result_type": "Visualization", "release_date": "2014-06-30T00:00:00-04:00", "title": "2014 Update Aqua/AIRS Carbon Dioxide with Mauna Loa Carbon Dioxide", "description": "This visualization is a time-series of the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft. For comparison, it is overlain by a graph of the seasonal variation and interannual increase of carbon dioxide observed at the Mauna Loa, Hawaii observatory.The graph shows data, commonly called the Keeling Curve, from the Scripps measurements of monthly carbon dioxide concentration at Mauna Loa Observatory. The collection of this data was started by C. David Keeling of the Scripps Institution of Oceanography in March of 1958 at a facility of the National Oceanic and Atmospheric Administration [Keeling, 1976]. The two most notable features of this visualization are the seasonal variation of carbon dioxide and the trend of increase in its concentration from year to year. The global map clearly shows that the carbon dioxide in the Northern Hemisphere peaks in April-May and then drops to a minimum in September-October. Although the seasonal cycle is less pronounced in the Southern Hemisphere it is opposite to that in the Northern Hemisphere. This seasonal cycle is governed by the growth cycle of plants. The Northern Hemisphere has the majority of the land masses, and so the amplitude of the cycle is greater in that hemisphere. The overall color of the map shifts toward the red with advancing time due to the annual increase of carbon dioxide.The concentration of carbon dioxide in the mid-troposphere lags the concentration found at the surface as mixing from the lower to upper altitudes usually takes days to weeks.More information about AIRS can be found at http://airs.jpl.nasa.gov. More information about the carbon dioxide concentration at Mauna Loa Observatory can be found at http://scrippsco2.ucsd.edu/ || ", "hits": 52 }, { "id": 30393, "url": "https://svs.gsfc.nasa.gov/30393/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Sea Surface Temperature (Aqua/MODIS)", "description": "Sea-surface temperatures have a large influence on climate and weather. For example, ocean temperatures influence the development of tropical cyclones (hurricanes and typhoons), which draw energy from warm ocean waters to form and intensify. These maps show monthly sea-surface temperatures from July 2002 to the present, based on observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA’s Aqua satellite. The satellite measures the temperature of the top millimeter of the ocean surface. The coolest waters appear as purple shades (approximately -2 degrees Celsius), while the warmest temperatures appear as yellow shades (45 degrees Celsius). Landmasses and the large area of sea ice around Antarctica appear in shades of gray, indicating no data were collected. The most obvious pattern shown in the time series is the year-round difference in sea surface temperatures between equatorial regions and the poles. Various warm and cool currents stand out even in monthly averages of sea surface temperature. A band of warm waters snakes up the East Coast of the United States and veers across the North Atlantic—known as the Gulf Stream. || ", "hits": 55 }, { "id": 30174, "url": "https://svs.gsfc.nasa.gov/30174/", "result_type": "Hyperwall Visual", "release_date": "2013-10-17T12:00:00-04:00", "title": "Southern California Groundwater", "description": "This animation depicts variations in surface elevation resulting from the discharge and recharge of groundwater basins in Southern California. These seasonal fluctuations, which range between -5 and +5 centimeters (-2 to +2 inches), result from the pumping of groundwater during the dry season (Summer/Fall) and recharge of the basins during the wet season (Winter/Spring). Reductions in elevation, resulting from extraction of groundwater, are shown in orange, while increases in elevation, resulting from the recharge of the basins, are shown in blue. || ", "hits": 29 }, { "id": 30188, "url": "https://svs.gsfc.nasa.gov/30188/", "result_type": "Hyperwall Visual", "release_date": "2013-10-17T12:00:00-04:00", "title": "Mount Etna Deformation", "description": "This animation depicts a time-series of ground deformation at Mount Etna Volcano between 1992 and 2001. The deformation results from changes in the volume of a shallow chamber centered approximately 5 km (3 miles) below sea level. The accumulation of magma in this chamber results in the inflation, or expansion, of the volcano, while the release of magma from the chamber results in deflation or contraction. || ", "hits": 35 }, { "id": 30059, "url": "https://svs.gsfc.nasa.gov/30059/", "result_type": "Hyperwall Visual", "release_date": "2013-07-10T09:00:00-04:00", "title": "Mountaintop Mining, West Virginia", "description": "These images illustrate the growth of the Hobet mine in Boone County, WV as it moves from ridge to ridge between 1984 and 2015. The natural forested landscape appears dark green, creased by steams and indented by hollows. Active mining areas, however, appear off-white and areas being reclaimed with vegetation appear light green. The law requires coal operators to restore the land to its approximate original shape, but the rock debris generally can’t be securely piled as high or graded as steeply as the original mountaintop. There is always too much rock left over, and coal companies dispose of it by building valley fills in hollows, gullies, and streams. While the image from 2015 shows apparent green-up of restored lands, it also shows expanded operations in the west. The resulting impacts to stream biodiversity, forest health, and ground-water quality are high, and may be irreversible. || ", "hits": 56 }, { "id": 11290, "url": "https://svs.gsfc.nasa.gov/11290/", "result_type": "Produced Video", "release_date": "2013-05-23T12:00:00-04:00", "title": "Pivot Irrigation in Saudi Arabia", "description": "Saudi Arabia is drilling for a resource possibly more precious than oil.Over the last 24 years, it has tapped hidden reserves of water to grow wheat and other crops in the Syrian Desert. This time series of data shows images acquired by three different Landsat satellites operated by NASA and the U.S. Geological Survey.The green fields that dot the desert draw on water that in part was trapped during the last Ice Age. In addition to rainwater that fell over several hundred thousand years, this fossil water filled aquifers that are now buried deep under the desert's shifting sands.Saudi Arabia reaches these underground rivers and lakes by drilling through the desert floor, directly irrigating the fields with a circular sprinkler system. This technique is called center-pivot irrigation.Because rainfall in this area is now only a few centimeters (about one inch) each year, water here is a non-renewable resource. Although no one knows how much water is beneath the desert, hydrologists estimate it will only be economical to pump water for about 50 years.In this series of four Landsat images, the agricultural fields are about one kilometer (.62 miles) across. The images were created using reflected light from the short wave-infrared, near-infrared, and green portions of the electromagnetic spectrum (bands 7, 4, and 2 from Landsat 4 and 5 TM and Landsat 7 ETM+ sensors). Using this combination of wavelengths, healthy vegetation appears bright green while dry vegetation appears orange. Barren soil is a dark pink, and urban areas, like the town of Tubarjal at the top of each image, have a purple hue.Landsat 4 launched in 1982 and provided scientific data for 11 years until 1993. NASA launched Landsat 5 in 1984 and it ran a record-breaking 28 years, sending back what was likely its last data in 2011. Landsat 7 is still up and running; it was launched in 1999. The data from these and other Landsat satellites has been instrumental in increasing our understanding of forest health, storm damage, agricultural trends, urban growth, and many other ongoing changes to our land.NASA and the U.S. Department of the Interior through the U.S. Geological Survey (USGS) jointly manage Landsat, and the USGS preserves a 40-year archive of Landsat images that is freely available data over the Internet. Download a still image showing four of the years: 1987, 1991, 2000, and 2012. || ", "hits": 278 }, { "id": 30039, "url": "https://svs.gsfc.nasa.gov/30039/", "result_type": "Hyperwall Visual", "release_date": "2013-03-28T00:00:00-04:00", "title": "2010 Indus Floods", "description": "Some blamed La Niña, while others faulted inadequate flood-prevention plans for the devastation left behind by the 2010 Pakistan Floods. In either case, the coming together of international partners allowed rapid humanitarian response efforts to take place. The importance of international partnership lies within the craftsmanship of the middle map, a mosaic of shared satellite data pieced together by UNITAR’s Operational Satellite Application Programme (UNOSAT). The map provides flood analysis based on a time series of satellite data recorded between July 28-September 16, 2010. With the support from several other partners, UNOSAT was able to provide emergency response maps to humanitarian communities during the floods. Often times, those assessing flood extent on land are unable to map an entire area before water levels change again. Satellites, however, offer a unique perspective from space and provide data across large geographic areas nearly every day. || ", "hits": 49 }, { "id": 11149, "url": "https://svs.gsfc.nasa.gov/11149/", "result_type": "Produced Video", "release_date": "2012-12-18T00:00:00-05:00", "title": "Galactic Snacks", "description": "Even black holes grab a meal now and then, feeding on everything from planets and asteroids to comets and gas. The supermassive black hole at the center of the Milky Way galaxy has a relatively small appetite. Nevertheless, scientists using NASA's Nuclear Spectroscopic Telescope Array (NuSTAR) orbiting observatory caught our galaxy's central black hole in the act of devouring a snack. In July 2012, detection of a high-energy X-ray flare indicated that something—possibly an asteroid—was being torn apart and ingested at a temperature of about 100 million degrees Celsius. Watch the video to see the flare, and to find out how NuSTAR's crisp vision is improving our understanding of the high-energy phenomena and the diet of black holes. || ", "hits": 73 }, { "id": 11144, "url": "https://svs.gsfc.nasa.gov/11144/", "result_type": "Produced Video", "release_date": "2012-12-11T00:00:00-05:00", "title": "The Secret Life Of Forests", "description": "Forests in the United States are constantly changing. For four decades NASA and the U.S. Geological Survey's Landsat satellites have kept a steady watch from space, and now scientists are turning yearly data sets into powerful time series that show the evolution of the landscape. In this visualization of false color images taken of the Pacific Northwest from 1984 to 2011, scientists see many different stories. Some are obvious, like the patchwork of logged land that flickers from mature trees (blue) to clear-cut (red) to regrown shrubs (yellow). Some are subtle, like the bark beetle or western spruce budworm infestations (dark red) that pulse across mountainsides. Watch as these and other changes come to life in the video. || ", "hits": 50 }, { "id": 3975, "url": "https://svs.gsfc.nasa.gov/3975/", "result_type": "Visualization", "release_date": "2012-08-04T15:00:00-04:00", "title": "Shifting Distribution of Northern Hemisphere Summer Temperature Anomalies, 1951-2011", "description": "This bell curve graph shows how the distribution of Northern Hemisphere summer temperature anomalies has shifted toward an increase in hot summers. The seasonal mean temperature for the entire base period of 1951-1980 is plotted at the top of the bell curve. Decreasing in frequency to the right are what are defined as \"hot\" anomalies (between 1 and 2 standard deviations from the norm), \"very hot\" anomalies (between 2 and 3 standard deviations) and \"extremely hot\" anomalies (greater than 3 standard deviations). The anomalies fall off to the left in mirror-image categories of \"cold, \"very cold\" and \"extremely cold.\" The range between the .43 and -.43 standard deviation marks represent \"normal\" temperatures. As the graph moves forward in time, the bell curve shifts to the right, representing an increase in the frequency of the various hot anomalies. It also gets wider and shorter, representing a wider range of temperature extremes. As the graph moves beyond 1980, the temperatures are still compared to the seasonal mean of the 1951-1980 base period, so that as it reaches the 21st century, there is a far greater frequency of temperatures that once fell 3 standard deviations beyond the mean. As the graphic indicates, each bell curve shown through the time series represents the distribution of anomalies over an 11-year period. || ", "hits": 53 }, { "id": 11050, "url": "https://svs.gsfc.nasa.gov/11050/", "result_type": "Produced Video", "release_date": "2012-07-18T00:00:00-04:00", "title": "Landsat 40th Liveshot City Images", "description": "The following are U.S. cities imaged by Landsat over its 40 year span. Multiple years of selected cities are grouped together with specific years in parentheses. || Atlanta, Georgia || Atlanta_crop_321_1920x1080.jpg (1920x1080) [3.8 MB] || Atlanta_crop_321_1920x1080_web.png (320x180) [347.9 KB] || landsat_us_city_image.hwshow [65 bytes] || ", "hits": 73 }, { "id": 10969, "url": "https://svs.gsfc.nasa.gov/10969/", "result_type": "Produced Video", "release_date": "2012-06-13T00:00:00-04:00", "title": "OIB: NASA and ESA in an Arctic Alliance", "description": "For the second straight year, NASA's Operation IceBridge is collaborating with the European Space Agency's CryoVEx program, flying aircraft low over Arctic sea ice while ESA's CryoSat satellite orbits above. In this video, IceBridge Project Scientist Michael Studinger discusses the benefits of the long term joint data set the agencies are creating. || ", "hits": 15 } ] }