{ "count": 32, "next": null, "previous": null, "results": [ { "id": 31095, "url": "https://svs.gsfc.nasa.gov/31095/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Change Over Time—Chicago, Illinois", "description": "Change Over Time—Chicago, Illinois || Page15_ChicagoHyperwall_5760x3240_19.2x10.8_print.jpg (1024x576) [143.0 KB] || Page15_ChicagoHyperwall_5760x3240_19.2x10.8.png (5760x3240) [3.5 MB] || Page15_ChicagoHyperwall_5760x3240_19.2x10.8_searchweb.png (320x180) [89.1 KB] || Page15_ChicagoHyperwall_5760x3240_19.2x10.8_thm.png (80x40) [6.9 KB] || change-over-timechicago-illinois.hwshow [342 bytes] || ", "hits": 83 }, { "id": 31107, "url": "https://svs.gsfc.nasa.gov/31107/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Moon Phases in the Persian Gulf", "description": "Phases of the moon and what they reveal || moon-phases-persian-gulf_print.jpg (1024x576) [105.2 KB] || moon-phases-persian-gulf.png (3840x2160) [6.0 MB] || moon-phases-persian-gulf_searchweb.png (320x180) [59.0 KB] || moon-phases-persian-gulf_thm.png (80x40) [5.1 KB] || moon-phases-in-the-persian-gulf.hwshow [303 bytes] || ", "hits": 23 }, { "id": 31113, "url": "https://svs.gsfc.nasa.gov/31113/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Snow Cover in the Great Lakes Region, United States", "description": "snow cover in the Great Lakes region with Night Lights || snow-cover-great-lakes_print.jpg (1024x576) [144.8 KB] || snow-cover-great-lakes.png (3840x2160) [8.3 MB] || snow-cover-great-lakes_searchweb.png (320x180) [90.6 KB] || snow-cover-great-lakes_thm.png (80x40) [6.4 KB] || snow-cover-in-the-great-lakes-region-united-states.hwshow [318 bytes] || ", "hits": 27 }, { "id": 31116, "url": "https://svs.gsfc.nasa.gov/31116/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Unpopulated Slopes of an Active Volcano—Naples, Italy", "description": "Unpopulated Slopes of an Active Volcano—Naples, ItalyAn astronaut onboard the ISS took this photograph of the city lights of Naples and the Campania region of southern Italy on January 30, 2017. The Naples region is one of the brightest in Italy. Roughly three million people live in and around this metropolitan area.The large black circular area in the photo is Mount Vesuvius, the only active volcano on Europe’s mainland. Although any volcanic activity can endanger surrounding communities, eruptive pyroclastic flows of superheated ash and gas are among the most dangerous, moving at speeds of hundreds of kilometers per hour. Vesuvius has erupted on numerous occasions throughout history. Probably the most famous of those eruptions occurred in 79 A.D., when pyroclastic flows destroyed the cities of Pompeii and Herculaneum, trapping more than 16,000 people. Such historic catastrophes—and the fact that 600,000 people currently live in the immediate vicinity—are why the volcano is one of the most heavily monitored in the world, with several dozen sensors located at many points on and around the cone.The different colors of lights in the scene reflect some of the history of development in the area. The green lights are mercury vapor bulbs, an older variety that has been replaced in newer developments by yellow-orange sodium bulbs. To the northeast, the lightless gaps between the homes and businesses are agricultural fields. The bright yellow-orange complex amidst the fields is the Consorzio Intercomunale dei Servizi, the largest commercial facility in Europe. || Unpop_Slopes_Active_Volcan_Naples_It_print.jpg (1024x540) [202.8 KB] || Unpop_Slopes_Active_Volcan_Naples_It.png (4096x2160) [15.3 MB] || Unpop_Slopes_Active_Volcan_Naples_It_searchweb.png (320x180) [109.9 KB] || Unpop_Slopes_Active_Volcan_Naples_It_thm.png (80x40) [6.6 KB] || unpopulated-slopes-of-an-active-volcanonaples-italy.hwshow [347 bytes] || ", "hits": 55 }, { "id": 31118, "url": "https://svs.gsfc.nasa.gov/31118/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Lighting Paths to Oil in Qatar", "description": "ISS astronaut photograph of Qatar || lighting-paths-oil-qater_print.jpg (1024x576) [57.6 KB] || lighting-paths-oil-qater.png (3840x2160) [3.3 MB] || lighting-paths-oil-qater_searchweb.png (320x180) [41.9 KB] || lighting-paths-oil-qater_thm.png (80x40) [3.3 KB] || lighting-paths-to-oil-in-qatar.hwshow [302 bytes] || ", "hits": 28 }, { "id": 31120, "url": "https://svs.gsfc.nasa.gov/31120/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Snaking Along Canyon Cliffs in Haifa, Israel", "description": "Day and night ISS astronaut photos of Haifa, Israel || haifa_swipe_00000_print.jpg (1024x576) [145.2 KB] || haifa_swipe_00000_searchweb.png (320x180) [102.0 KB] || haifa_swipe_00000_thm.png (80x40) [6.9 KB] || haifa_swipe_1080p30_2.mp4 (1920x1080) [14.6 MB] || haifa_swipe_1080p30_2.webm (1920x1080) [2.4 MB] || haifa_swipe_2160p30_2.mp4 (3840x2160) [37.5 MB] || 3840x2160_16x9_30p (3840x2160) [64.0 KB] || ", "hits": 44 }, { "id": 31121, "url": "https://svs.gsfc.nasa.gov/31121/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Lighting Paths Across the United States", "description": "VIIRS DNB compared with a map of major highways, railways, and rivers || lighting-paths_00000_print.jpg (1024x576) [94.3 KB] || lighting-paths_00000_searchweb.png (320x180) [57.1 KB] || lighting-paths_00000_thm.png (80x40) [4.8 KB] || lighting-paths_1080p30.mp4 (1920x1080) [8.8 MB] || lighting-paths_1080p30.webm (1920x1080) [2.3 MB] || lighting-paths_2160p30.mp4 (3840x2160) [32.2 MB] || 3840x2160_16x9_30p (3840x2160) [64.0 KB] || ", "hits": 102 }, { "id": 31122, "url": "https://svs.gsfc.nasa.gov/31122/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Now You See Them, Now You Don’t—Argentina", "description": "Argentina MODIS natural-color image vs. VIIRS day/night band || symmetry-argentina_00000_print.jpg (1024x576) [109.7 KB] || symmetry-argentina_00000_searchweb.png (320x180) [98.4 KB] || symmetry-argentina_00000_thm.png (80x40) [6.1 KB] || symmetry-argentina_1080p30.mp4 (1920x1080) [5.6 MB] || symmetry-argentina_1080p30.webm (1920x1080) [2.0 MB] || symmetry-argentina_2160p30.mp4 (3840x2160) [13.6 MB] || 3840x2160_16x9_30p (3840x2160) [64.0 KB] || ", "hits": 25 }, { "id": 31123, "url": "https://svs.gsfc.nasa.gov/31123/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Ten Percent of the World’s Gas Flares in One Spot — Nigeria", "description": "Nigeria VIIRS day/night band and infrared || gas-flares-nigeria_00000_print.jpg (1024x576) [44.4 KB] || gas-flares-nigeria_00000_searchweb.png (320x180) [39.0 KB] || gas-flares-nigeria_00000_thm.png (80x40) [2.7 KB] || gas-flares-nigeria_1080p30.mp4 (1920x1080) [3.1 MB] || gas-flares-nigeria_1080p30.webm (1920x1080) [2.3 MB] || gas-flares-nigeria_2160p30.mp4 (3840x2160) [7.8 MB] || 3840x2160_16x9_30p (3840x2160) [64.0 KB] || ", "hits": 86 }, { "id": 31124, "url": "https://svs.gsfc.nasa.gov/31124/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Lights Out in Michael’s Wake—Florida Panhandle", "description": "Hurricane Michael from VIIRS and GOES-16 || lights-out-michael-3_print.jpg (1024x576) [165.4 KB] || lights-out-michael-3.png (5760x3240) [12.3 MB] || lights-out-michael-3.png.dzi (5760x3240) [178 bytes] || lights-out-michael-3_searchweb.png (320x180) [113.1 KB] || lights-out-michael-3_thm.png (80x40) [7.8 KB] || lights-out-michael-3.png_files (1x1) [4.0 KB] || lights-out-in-michaels-wakeflorida-panhandle.hwshow [308 bytes] || ", "hits": 15 }, { "id": 31127, "url": "https://svs.gsfc.nasa.gov/31127/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Shale Revolution: As Clear as Night and Day—South Texas", "description": "Eagle Ford Shale Play || ShaleRevolutionSouthTexas_print.jpg (1024x576) [132.3 KB] || ShaleRevolutionSouthTexas.png (5760x3240) [7.7 MB] || ShaleRevolutionSouthTexas_searchweb.png (320x180) [92.0 KB] || ShaleRevolutionSouthTexas_thm.png (80x40) [6.4 KB] || shale-revolution-as-clear-as-night-and-daysouth-texas.hwshow [327 bytes] || ", "hits": 59 }, { "id": 31129, "url": "https://svs.gsfc.nasa.gov/31129/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Bursting with Holiday Energy—United States", "description": "changes in light intensity || HolidayLightsUnitedStates_print.jpg (1024x576) [153.3 KB] || HolidayLightsUnitedStates.png (5760x3240) [11.1 MB] || HolidayLightsUnitedStates_searchweb.png (320x180) [93.6 KB] || HolidayLightsUnitedStates_thm.png (80x40) [6.9 KB] || bursting-with-holiday-energyunited-states.hwshow [315 bytes] || ", "hits": 26 }, { "id": 31099, "url": "https://svs.gsfc.nasa.gov/31099/", "result_type": "Hyperwall Visual", "release_date": "2020-02-05T00:00:00-05:00", "title": "A Changing Earth at Night (Regions)", "description": "NASA’s Black Marble products are also being used by scientists and decision-makers to monitor gradual changes driven by urbanization, out-migration, economic changes, and electrification. These images show the rapid electrification of India’s rural settlements in recent years. Huge swaths of northern India, relatively dark in 2012 night shots, are lit up in NASA’s Black Marble imagery from 2016. || NightLights.010_print.jpg (1024x576) [175.5 KB] || NightLights.010.png (5760x3240) [20.0 MB] || NightLights.010_searchweb.png (320x180) [101.2 KB] || NightLights.010_thm.png (80x40) [6.8 KB] || ", "hits": 321 }, { "id": 30886, "url": "https://svs.gsfc.nasa.gov/30886/", "result_type": "Hyperwall Visual", "release_date": "2017-06-28T00:00:00-04:00", "title": "Black Marble 2012 vs. 2016", "description": "Black Marble comparing 2012 lights vs. 2016 lights || black_marble_swipe_1080p.00001_print.jpg (1024x576) [58.2 KB] || black_marble_swipe_1080p.00001_searchweb.png (320x180) [34.2 KB] || black_marble_swipe_1080p.00001_thm.png (80x40) [3.6 KB] || black_marble_swipe_1080p.mp4 (1920x1080) [3.5 MB] || black_marble_swipe_720p.mp4 (1280x720) [2.0 MB] || black_marble_swipe_1080p.webm (1920x1080) [7.8 MB] || black_marble_swipe_2304p.mp4 (4096x2304) [11.1 MB] || 4104x2304_16x9_30p (4104x2304) [0 Item(s)] || ", "hits": 252 }, { "id": 30876, "url": "https://svs.gsfc.nasa.gov/30876/", "result_type": "Hyperwall Visual", "release_date": "2017-04-25T00:00:00-04:00", "title": "Black Marble 2016", "description": "An composite image shows a cloud-free view of Earth || BlackMarble_2016_global_7km_print.jpg (1024x576) [62.9 KB] || BlackMarble_2016_global_7km.png (5760x3240) [6.3 MB] || BlackMarble_2016_global_7km_searchweb.png (180x320) [34.9 KB] || BlackMarble_2016_global_7km_thm.png (80x40) [3.7 KB] || BlackMarble_2016_global_7km.hwshow [222 bytes] || ", "hits": 1054 }, { "id": 30877, "url": "https://svs.gsfc.nasa.gov/30877/", "result_type": "Hyperwall Visual", "release_date": "2017-04-25T00:00:00-04:00", "title": "Black Marble 2016 (Regions)", "description": "Satellite images of Earth at night—often referred to as \"night lights\"—have been a gee-whiz curiosity for the public and a tool for fundamental research for nearly 25 years. They have provided a broad, beautiful picture, showing how humans have shaped the planet and lit up the darkness. Produced every decade or so, such maps have spawned hundreds of pop-culture uses and dozens of economic, social science, and environmental research projects. || ", "hits": 175 }, { "id": 30878, "url": "https://svs.gsfc.nasa.gov/30878/", "result_type": "Hyperwall Visual", "release_date": "2017-04-25T00:00:00-04:00", "title": "Black Marble 2016 (Rotating Globe)", "description": "A rotating globe rendered from the blackmarble 2016 image. || BlackMarble_2016_rotate_print.jpg (1024x576) [47.1 KB] || BlackMarble_2016_rotate.png (3840x2160) [3.0 MB] || BlackMarble_2016_rotate_searchweb.png (320x180) [28.2 KB] || BlackMarble_2016_rotate_thm.png (80x40) [2.9 KB] || BlackMarble_2016_rotate_720p.mp4 (1280x720) [11.5 MB] || BlackMarble_2016_rotate_720p.webm (1280x720) [17.2 MB] || BlackMarble_2016_rotate_1080p.mp4 (1920x1080) [23.9 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || BlackMarble_2016_rotate_2160p.mp4 (3840x2160) [108.6 MB] || ", "hits": 590 }, { "id": 30028, "url": "https://svs.gsfc.nasa.gov/30028/", "result_type": "Hyperwall Visual", "release_date": "2013-04-05T00:00:00-04:00", "title": "Earth at Night 2012", "description": "This new space-based view of Earth's city lights is a composite assembled from data acquired by the Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. The data was acquired over nine days in April 2012 and thirteen days in October 2012. It took the satellite 312 orbits and 2.5 terabytes of data to get a clear shot of every parcel of Earth's land surface and islands. This new data was then mapped over existing MODIS Blue Marble imagery to provide a realistic view of the planet.The view was made possible by the \"day-night band\" of Suomi NPP's Visible Infrared Imaging Radiometer Suite. VIIRS detects light in a range of wavelengths from green to near-infrared and uses \"smart\" light sensors to observe dim signals such as city lights, auroras, wildfires, and reflected moonlight. This low-light sensor can distinguish night lights tens to hundreds of times better than previous satellites. || ", "hits": 402 }, { "id": 3656, "url": "https://svs.gsfc.nasa.gov/3656/", "result_type": "Visualization", "release_date": "2009-10-17T00:00:00-04:00", "title": "Sea Level Rise \"What Ifs\" in the Southeastern United States", "description": "This visualization shows the Southeastern United States with population data over the land. Darker areas over land indicate higher population densities. Sea level scenarios are shown starting with 0 meters of sea level rise (current sea level) and proceeding through 9 meters of rise. Blue areas moving inland indicate where the coastline would be at various levels.We will likely see some sea level rise in our lifetimes, but the middle-to-higher levels in this visualization are unlikely in the next 100 years.This visualization is based on Shuttle Radar Topography Mission (SRTM) data. This data primarily measured canopy heights. So, this visualization is showing where water might reach the tops of the trees in various areas. || ", "hits": 21 }, { "id": 3649, "url": "https://svs.gsfc.nasa.gov/3649/", "result_type": "Visualization", "release_date": "2009-10-06T12:00:00-04:00", "title": "Food Consumers versus Food Producers", "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events. || ", "hits": 10 }, { "id": 3629, "url": "https://svs.gsfc.nasa.gov/3629/", "result_type": "Visualization", "release_date": "2009-10-05T12:00:00-04:00", "title": "Crop Intensity", "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events.To successfully monitor worldwide agricultural regions and provide accurate agricultural production assessments, it is important to understand the spatial distribution of croplands. To do this a global croplands mask to identify all sites used for crop production. Croplands are highly variable both temporally and spatially. Croplands vary from year to year due to events such as drought and fallow periods, and they vastly differ across the globe in accordance with characteristics such as cropping intensity and field size. A flexible crop likelihood mask is used to help depict these varying characteristics of global crop cover. Regions featuring intensive agro-industrial farming practices such as the Maize Triangle in South Africa will have higher confidence values in the crop mask as compared to less intensively farmed regions in parts of Sub-Saharan Africa where cropland identification is partly confounded with natural background vegetation phenologies. Thus, a customized threshold can be employed to examine areas of varying cropping intensification. || ", "hits": 52 }, { "id": 3646, "url": "https://svs.gsfc.nasa.gov/3646/", "result_type": "Visualization", "release_date": "2009-10-05T12:00:00-04:00", "title": "2009 Crop Intensity, 2009 Producers, and 2050 Projected Population", "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events.To successfully monitor worldwide agricultural regions and provide accurate agricultural production assessments, it is important to understand the spatial distribution of croplands. To do this a global croplands mask to identify all sites used for crop production. Croplands are highly variable both temporally and spatially. Croplands vary from year to year due to events such as drought and fallow periods, and they vastly differ across the globe in accordance with characteristics such as cropping intensity and field size. A flexible crop likelihood mask is used to help depict these varying characteristics of global crop cover. Regions featuring intensive agro-industrial farming practices such as the Maize Triangle in South Africa will have higher confidence values in the crop mask as compared to less intensively farmed regions in parts of Sub-Saharan Africa where cropland identification is partly confounded with natural background vegetation phenologies. Thus, a customized threshold can be employed to examine areas of varying cropping intensification. || ", "hits": 17 }, { "id": 3601, "url": "https://svs.gsfc.nasa.gov/3601/", "result_type": "Visualization", "release_date": "2009-06-27T12:00:00-04:00", "title": "Global Agricultural Monitoring", "description": "The U.S. Department of Agriculture (USDA) and the National Aeronautics and Space Administration (NASA) signed a Memorandum of Understanding (MOU) to strengthen collaboration. In support of this collaboration, NASA and the USDA Foreign Agricultural Service (FAS) jointly funded a new project to assimilate NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) data and products into an existing decision support system (DSS) operated by the International Production Assessment Division (IPAD) of FAS. To meet its objectives, FAS/IPAD uses satellite data and data products to monitor agriculture worldwide and to locate and keep track of natural disasters such as short and long term droughts, floods and persistent snow cover which impair agricultural productivity. FAS is the largest user of satellite imagery in the non-military sector of the U.S. government. For the last 20 years FAS has used a combination of Landsat and NOAA-AVHRR satellite data to monitor crop condition and report on episodic events. || ", "hits": 31 }, { "id": 3509, "url": "https://svs.gsfc.nasa.gov/3509/", "result_type": "Visualization", "release_date": "2008-04-16T00:00:00-04:00", "title": "Las Vegas Growth from Landsat", "description": "This sequence of images from the earliest Landsat satellite to the present captures the dramatic growth of Las Vegas, Nevada. From 1973 to 2006, the population of Las Vegas grew from 358,000 to over 2 million. || ", "hits": 49 }, { "id": 10184, "url": "https://svs.gsfc.nasa.gov/10184/", "result_type": "Produced Video", "release_date": "2008-01-30T00:00:00-05:00", "title": "Urban Growth in Las Vegas", "description": "In May 1973, less than a year after the first of NASA's Landsat satellites was launched, Las Vegas, Nevada had a population of only 358,000. By 2006 the population had ballooned to over 2 million. Still one of America's fastest growing urban areas, this series of Landsat scenes from four different years shows just how dramamtic the growth of Las Vegas has been. || ", "hits": 51 }, { "id": 3363, "url": "https://svs.gsfc.nasa.gov/3363/", "result_type": "Visualization", "release_date": "2006-07-10T00:00:00-04:00", "title": "The Lights of Earth: Full Spin in High Resolution", "description": "The Lights of Earth can be seen from space. Human-made lights highlight particularly developed or populated areas of the Earth's surface, including the seaboards of Europe, the eastern United States, and Japan. Many large cities are located near rivers or oceans so that they can exchange goods cheaply by boat. Particularly dark areas include the central parts of South America, Africa, Asia, and Australia. The 'Earth at Night' picture is actually a composite of hundreds of images made by the Defense Meteorological Satellite Program (DMSP). DMSP currently operates four satellites carrying the Operational Linescan System (OLS) in low-altitude polar orbits. Three of these satellites record nighttime data. The DMSP-OLS has a unique capability to detect low levels of visible-near infrared (VNIR) radiance at night. With the OLS 'VIS' band data it is possible to detect clouds illuminated by moonlight, plus lights from cities, towns, industrial sites, gas flares, and ephemeral events such as fires and lightning-illuminated clouds. The Nighttime Lights of the World data set is compiled from the October 1994 - March 1995 DMSP nighttime data collected when moonlight was low. Using the OLS thermal infrared band, areas containing clouds were removed and the remaining area used in the time series.A lower resolution version of this same animation can be found here. || ", "hits": 53 }, { "id": 3163, "url": "https://svs.gsfc.nasa.gov/3163/", "result_type": "Visualization", "release_date": "2005-05-23T12:00:00-04:00", "title": "United States Mean Population Center, 1790-2000 (WMS)", "description": "The mean center of population, traditionally referred to as the center of population, is provided for each census in the United States since 1790. The mean center of population is the point at which an imaginary, flat, weightless, and rigid map of the United States would balance if weights of identical value were placed on it so that each weight represented the location of one person. The mean center of population based on the 2000 census results is located in Phelps County, Missouri. For a complete list of the mean center of population for each census since 1790, and for a more detailed description of how these values are calculated, see http://www.census.gov/geo/www/cenpop/calculate2k.pdf. || ", "hits": 20 }, { "id": 3164, "url": "https://svs.gsfc.nasa.gov/3164/", "result_type": "Visualization", "release_date": "2005-05-23T12:00:00-04:00", "title": "United States Median Center of Population, 1880-2000 (WMS)", "description": "The median center of population is calculated from the intersection of two median lines. The first median line is the geographic line running north and south that divides the population into two equal halves, east and west. The second median line is the geographic line running east and west that divides the population into two equal halves, north and south. For the 2000 United States Census, the median center of population was located in Van Buren township, Daviess County, Indiana. For a complete list of the median center of population for each census since 1880, and for a more detailed description of how these values are calculated, see (http://www.census.gov/geo/www/cenpop/calculate2k.pdf). || ", "hits": 30 }, { "id": 2912, "url": "https://svs.gsfc.nasa.gov/2912/", "result_type": "Visualization", "release_date": "2005-05-16T12:00:00-04:00", "title": "Population Density of the World, 1990-2015 (WMS)", "description": "This animation shows the population density of the world in the years 1990, 1995, 2000, as well as a population density estimated for the year 2015. These figures have been adjusted to match United Nations totals. The most dramatic differences in population are not readily visible in this animation because they are located in cities. The maximum population density in 1990 was about 79,000 people per square kilometer, while the estimated maximum population density in 2015 will be about 236,000 people per square kilometer. Developing areas in Africa, Latin America, and Asia change the most visibly. || ", "hits": 163 }, { "id": 2916, "url": "https://svs.gsfc.nasa.gov/2916/", "result_type": "Visualization", "release_date": "2004-02-16T12:00:00-05:00", "title": "Earth At Night (WMS)", "description": "This image of Earth's city lights was created with data from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS). Originally designed to view clouds by moonlight, the OLS is also used to map the locations of permanent lights on the Earth's surface.The brightest areas of the Earth are the most urbanized, but not necessarily the most populated. (Compare western Europe with China and India.) Cities tend to grow along coastlines and transportation networks. Even without the underlying map, the outlines of many continents would still be visible. The United States interstate highway system appears as a lattice connecting the brighter dots of city centers. In Russia, the Trans-Siberian railroad is a thin line stretching from Moscow through the center of Asia to Vladivostok. The Nile River, from the Aswan Dam to the Mediterranean Sea, is another bright thread through an otherwise dark region.Even more than 100 years after the invention of the electric light, some regions remain thinly populated and unlit. Antarctica is entirely dark. The interior jungles of Africa and South America are mostly dark, but lights are beginning to appear there. Deserts in Africa, Arabia, Australia, Mongolia, and the United States are poorly lit as well (except along the coast), along with the boreal forests of Canada and Russia, and the great mountains of the Himalaya. || ", "hits": 144 }, { "id": 2566, "url": "https://svs.gsfc.nasa.gov/2566/", "result_type": "Visualization", "release_date": "2002-10-09T12:00:00-04:00", "title": "Continental United States Population Map", "description": "This image shows the 2001 population distribution estimate made by the US Census. This visualization was created in support of a story describing how NASA is assisting the CDC and EPA in tracking the spread of West Nile Virus. || 2001 US Census Population Estimates with no background. || a002566_pop_wo_bg.jpg (720x528) [78.3 KB] || a002566_pop_wo_bg_web.png (320x234) [79.4 KB] || ", "hits": 40 }, { "id": 1026, "url": "https://svs.gsfc.nasa.gov/1026/", "result_type": "Visualization", "release_date": "1999-12-03T12:00:00-05:00", "title": "Twenty Million New Jobs (for White House)", "description": "This animation was created in response to a White House request. It shows the distribution of the 20 million new jobs created since Clinton was in office. Horace Mitchell and Greg Shirah attended the press event where Clinton showed this visualization. || ", "hits": 6 } ] }