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    "results": [
        {
            "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": 122
        },
        {
            "id": 31196,
            "url": "https://svs.gsfc.nasa.gov/31196/",
            "result_type": "Hyperwall Visual",
            "release_date": "2022-10-20T00:00:00-04:00",
            "title": "50 years of Landsat: Denver",
            "description": "Since 1972, Landsat satellites have observed our planet’s forests, deserts, cities, farms, and badlands. The Mile High City rose up on the hopes of gold miners, who founded the city in 1858 after the discovery of gold in the waters at the confluence of the South Platte River and Cherry Creek. Denver, Colorado, quickly became a hub for the mining towns to the west and the agricultural interests on the plains to the east. Unhindered by any major body of water or topographic feature to the north, south, or east, the city has expanded in all directions. These red-NIR-green combination false color images show the city of Denver between 1972 or 1972 and 2022, using sensors aboard Landsat satellites that have been collecting data in different ranges of frequencies along the electromagnetic spectrum for nearly 50 years. || ",
            "hits": 52
        },
        {
            "id": 13286,
            "url": "https://svs.gsfc.nasa.gov/13286/",
            "result_type": "Produced Video",
            "release_date": "2019-12-02T00:00:00-05:00",
            "title": "Why Observe?: Land Cover",
            "description": "\"Life Choices\" - Instrumental (Full Length) Eric Chevalier [SACEM]; Koka Media/Universal Publishing Production Music; Universal Production Music\"Evolution of Life\" - Instrumental (Full Length) David Stephen Goldsmith [PRS]; Atmosphere; Universal Production Music\"Time Ticking Away\" - Instrumental (Full Length) Adam Paul Courtenay Burns [PRS] and Jez Burns [PRS]; Atmosphere; Universal Production Music\"Shadow Lands\" - Instrumental (Full Length) Anthoney Edwin Philips [PRS] and Samuel Karl Bohn [PRS]; Atmosphere; Universal Production Music\"The Remaining Shadows\" Mark Russell [PRS]; Atmosphere Ltd.; Universal Production Music\"8bit Ninja\" - 15 Sec. Alex Komlew [GEMA] and Florian Jahrstorfer [GEMA]; Ed. Berlin Production Music/Universal Production Music Gmblt; Universal Production Music || 13286_WhyObserve_LandCover_GLOBEObserver.11884_print.jpg (1024x576) [132.5 KB] || 13286_WhyObserve_LandCover_GLOBEObserver.11884_thm.png (80x40) [6.1 KB] || 13286_WhyObserve_LandCover_GLOBEObserver.11884_searchweb.png (320x180) [96.6 KB] || 13286_WhyObserve_Landcover_GLOBEObserver.mov (1920x1080) [10.4 GB] || 13286_WhyObserve_Landcover_GLOBEObserver_lowres.mp4 (1280x720) [145.5 MB] || FACEBOOK_720_13286_WhyObserve_Landcover_GLOBEObserver_facebook_720.mp4 (1280x720) [502.1 MB] || TWITTER_720_13286_WhyObserve_Landcover_GLOBEObserver_twitter_720.mp4 (1280x720) [88.3 MB] || 13286_WhyObserve_Landcover_GLOBEObserver.webm (960x540) [214.6 MB] || YOUTUBE_720_13286_WhyObserve_Landcover_GLOBEObserver_youtube_720.mp4 (1280x720) [678.1 MB] || YOUTUBE_1080_13286_WhyObserve_Landcover_GLOBEObserver_youtube_1080.mp4 (1920x1080) [685.7 MB] || WhyObserve_Landcover_GLOBEObserver.en_US.srt [9.4 KB] || WhyObserve_Landcover_GLOBEObserver.en_US.vtt [9.4 KB] || ",
            "hits": 26
        },
        {
            "id": 13329,
            "url": "https://svs.gsfc.nasa.gov/13329/",
            "result_type": "Produced Video",
            "release_date": "2019-09-27T12:45:00-04:00",
            "title": "OLI-2 ships to Northrop Grumman",
            "description": "The Operational Land Imager 2, or OLI-2, will detect visible and infrared light from Earth's surface, providing data on our changing planet. OLI-2 was built and tested at Ball Aerospace in Boulder, Colorado. Landsat 9, a partnership between NASA and the U.S. Geological Survey, is a series of satellites that began with Landsat 1 in 1972.Music: Bit Streaming, composed by David Edwards [ASCAP], published by Soundcast Music [SESAC] Complete transcript available. || 13329_OLI-2_Ships_still.jpg (1920x1080) [555.8 KB] || 13329_OLI-2_Ships_still_searchweb.png (320x180) [110.3 KB] || 13329_OLI-2_Ships_still_thm.png (80x40) [8.5 KB] || 13329_OLI-2_Ships_large.webm (1920x1080) [19.2 MB] || 13329_OLI-2_Ships_large.mp4 (1920x1080) [217.5 MB] || 13329_OLI-2_ships-captions.en_US.srt [1.4 KB] || 13329_OLI-2_ships-captions.en_US.vtt [1.4 KB] || 13329_OLI-2_Ships_MASTER.mov (1920x1080) [3.5 GB] || ",
            "hits": 124
        },
        {
            "id": 13187,
            "url": "https://svs.gsfc.nasa.gov/13187/",
            "result_type": "Produced Video",
            "release_date": "2019-05-30T10:00:00-04:00",
            "title": "GLOBE Observer Land Cover: Getting Started",
            "description": "Learn how to take land cover observations using the GLOBE Observer app.Music: Up On the Mountain/WAX005: Goodvibes - Bruce Driscoll [BMI], Marie Seyrat [BMI]; Killer Tracks Production Music || FACEBOOK_720_13187_GLOBE_Observer_Land_Cover_Final1_facebook_720.00150_print.jpg (1024x576) [47.5 KB] || FACEBOOK_720_13187_GLOBE_Observer_Land_Cover_Final1_facebook_720.00150_searchweb.png (320x180) [58.5 KB] || 13187_GLOBE_Observer_Land_Cover_Final1.00150_thm.png (80x40) [6.1 KB] || 13187_GLOBE_Observer_Land_Cover_Final1.mov (1920x1080) [3.9 GB] || 13187_GLOBE_Observer_Land_Cover_Final1_lowres.mp4 (1280x720) [52.0 MB] || FACEBOOK_720_13187_GLOBE_Observer_Land_Cover_Final1_facebook_720.mp4 (1280x720) [182.4 MB] || TWITTER_720_13187_GLOBE_Observer_Land_Cover_Final1_twitter_720.mp4 (1280x720) [31.7 MB] || YOUTUBE_1080_13187_GLOBE_Observer_Land_Cover_Final1_youtube_1080.mp4 (1920x1080) [243.2 MB] || FACEBOOK_720_13187_GLOBE_Observer_Land_Cover_Final1_facebook_720.webm (1280x720) [21.1 MB] || YOUTUBE_720_13187_GLOBE_Observer_Land_Cover_Final1_youtube_720.mp4 (1280x720) [244.9 MB] || 13187_GLOBE_Observer_Land_Cover_Final1.en_US.vtt [1.9 KB] || 13187_GLOBE_Observer_Land_Cover_Final1.en_US.srt [1.9 KB] || ",
            "hits": 30
        },
        {
            "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": 217
        },
        {
            "id": 13053,
            "url": "https://svs.gsfc.nasa.gov/13053/",
            "result_type": "Produced Video",
            "release_date": "2018-09-12T12:00:00-04:00",
            "title": "GLOBE Adopt a Pixel",
            "description": "Music Provided by Killer Tracks\"Feet on the Ground\" by Elliot Nash [PRS] and Jackson Buckley [PRS].Stock Video provided by Pond5 and Artbeats. || Screen_Shot_2018-09-11_at_4.42.53_PM_print.jpg (1024x574) [126.6 KB] || Screen_Shot_2018-09-11_at_4.42.53_PM.png (3824x2144) [8.5 MB] || Screen_Shot_2018-09-11_at_4.42.53_PM_searchweb.png (320x180) [94.1 KB] || Screen_Shot_2018-09-11_at_4.42.53_PM_thm.png (80x40) [7.4 KB] || GLOBE_Final.mov (1920x1080) [760.0 MB] || GLOBE_Final.mp4 (1920x1080) [59.7 MB] || GLOBE_Final.webm (1920x1080) [6.2 MB] || GLOBE_Final.en_US.srt [1003 bytes] || GLOBE_Final.en_US.vtt [1015 bytes] || ",
            "hits": 14
        },
        {
            "id": 12851,
            "url": "https://svs.gsfc.nasa.gov/12851/",
            "result_type": "Produced Video",
            "release_date": "2018-02-09T10:00:00-05:00",
            "title": "5th Anniversary of Landsat 8's Launch",
            "description": "In its five years in space, Landsat 8 made 26,500 orbits around Earth and captured 1.1 million \"scenes\" of our home planet, representing 16 percent of all the observations kept in the 45-year Landsat archive.Music:  Divine Punishment by Christopher Franke [BMI]Complete transcript available. || 12851_Landsat8_5_year_large.01975_print.jpg (1024x576) [50.2 KB] || 12851_Landsat8_5_year_large.01975_searchweb.png (320x180) [7.1 KB] || 12851_Landsat8_5_year_large.01975_thm.png (80x40) [1.4 KB] || 12851_Landsat8_5_year_prores_1920.mov (1920x1080) [4.7 GB] || 12851_Landsat8_5_year_prores_1280.mov (1280x720) [2.5 GB] || 12851_Landsat8_5_year_large.mp4 (1920x1080) [191.3 MB] || 12851_Landsat8_5_year_youtube_1080.mp4 (1920x1080) [327.2 MB] || 12851_Landsat8_5_year_youtube_720.mp4 (1280x720) [315.6 MB] || 12851_Landsat8_5_year_twitter_720.mp4 (1280x720) [53.5 MB] || 12851_Landsat8_5_year.webm (960x540) [76.4 MB] || 12851_Landsat8_5_year-captions.en_US.srt [3.8 KB] || 12851_Landsat8_5_year-captions.en_US.vtt [3.8 KB] || ",
            "hits": 117
        },
        {
            "id": 30761,
            "url": "https://svs.gsfc.nasa.gov/30761/",
            "result_type": "Hyperwall Visual",
            "release_date": "2017-07-29T00:00:00-04:00",
            "title": "Cape Canaveral and Orlando Landsat timeseries",
            "description": "Kennedy Space Center and Orlando land cover change.Since December 1968, the John F. Kennedy Space Center (KSC) has been NASA's primary launch center of human spaceflight. The center is home to one Launch Complex (LC) with two pads: LC-39A and LC-39B. Built on a swamp, the two pads were originally constructed in the 1960s as clean pads and served as a starting point for Apollo and our journey to the moon.This pair of false-color images shows KSC and the adjacent Cape Canaveral Air Force Station in 1972 and 2016. Acquired with the Landsat series of satellites, the scenes are shown in green, red, and near-infrared light, a combination that helps differentiate components of the landscape. Vegetation is red, while urban areas are brown to gray. West of launch pads 39A and 39B, you can see the facility’s 525-foot-tall Vehicle Assembly Building (for stacking NASA's largest rockets), the 3-mile-long Shuttle Landing Facility, and the iconic Kennedy Space Center Visitor Complex.  As of 2017, only Launch Complex 39A is active, launching SpaceX's Falcon 9. Launch Complex 39B will serve as the launch site for the agency's Space Launch System rocket and Orion spacecraft on deep-space missions, including the journey to Mars. South of KSC, launch pads (active and inactive) line the coast of Cape Canaveral Air Force Station (CCAFS). || ",
            "hits": 43
        },
        {
            "id": 30166,
            "url": "https://svs.gsfc.nasa.gov/30166/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-17T12:00:00-04:00",
            "title": "Amazon Deforestation",
            "description": "The state of Rondônia in western Brazil has become one of the most deforested parts of the Amazon. This image series, created with data from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA’s Terra satellite, shows the region from 2000 to 2010. By the year 2000, the frontier had reached the remote northwest corner of Rondônia. Intact forest is deep green, while cleared areas are tan (bare ground) or light green (crops, pastures). Deforestation follows a predictable pattern in these images. The first clearings appear in a fishbone pattern, arrayed along the edges of roads. Over time, the fishbones collapse into a mixture of forest remnants, cleared areas, and settlements. This pattern is common in the Amazon. Legal and illegal roads penetrate a remote part of the forest, and small farmers migrate to the area. They claim land along the road and clear some of it for crops. Within a few years, heavy rains and erosion deplete the soil, and crop yields fall. Farmers then convert the degraded land to cattle pasture, and clear more forest for crops. || ",
            "hits": 171
        },
        {
            "id": 30191,
            "url": "https://svs.gsfc.nasa.gov/30191/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-17T12:00:00-04:00",
            "title": "Australian Dust over the Pacific Ocean",
            "description": "Strong westerly winds roaring across Australia’s desert interior were able to suspend dust particles for hundreds of miles before reaching the South Pacific Ocean. This image, taken by NASA’s Terra satellite on September 12, 2009, reveals the wedge of dust as it parts from the continent. Nearly weightless in nature, the wispy layer of dust is visible by its tan hue floating above the underlying stratus cloud deck. The dust is thought to have originated from the dry Lake Eyre basin, covering nearly one sixth of the continent. The lake fills during exceptionally wet rainy seasons (December-February) but remains dry during other months. As water evaporates from the lake, it leaves a fine layer of sediment that is easily lifted by wind. Sediment from dry lakebeds is a significant source of airborne dust worldwide. || ",
            "hits": 80
        },
        {
            "id": 30009,
            "url": "https://svs.gsfc.nasa.gov/30009/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-04-02T00:00:00-04:00",
            "title": "Landsat: 25 Years of Land-Use Change near Portland, Oregon",
            "description": "This animation shows land-use changes over 25 years around the area of Portland, Oregon, United States, and Mt. St. Helens in Washington state.In this visualization, north is to the right and west is up. The city of Portland, Oregon can just be seen on the left edge of the image, while Mt. St. Helens shows up as a large red/purple area in the middle right.Areas of vegetation are shown in blues, greens and yellows while areas lacking vegetation are shown in reds, oranges, and browns. As the animation cycles through the years 1984-2008, the harvest and regrowth cycle of commercial forestry operations can be seen, along with gradual re-vegetation of areas destroyed by the 1980 volcanic eruption of Mt. St. Helens. || ",
            "hits": 76
        },
        {
            "id": 4012,
            "url": "https://svs.gsfc.nasa.gov/4012/",
            "result_type": "Visualization",
            "release_date": "2012-12-07T00:00:00-05:00",
            "title": "Life Histories from Landsat: 25 Years in the Pacific Northwest Forest — North/South Tour",
            "description": "This visualization shows a sequence of Landsat-based data in the Pacific Northwest. There is one data set for each year representing an aggregate of the approximate peak of the growing season (around August). The data was created using a sophisticated algorithm called LandTrendr. LandTrendr analyzes 'stacks' of Landsat scenes, looking for statistical trends in the data and filtering out noise. The algorithm evaluated data from more than 1,800 Landsat Thematic Mapper images, nearly 1 Terabyte of raw imagery, to define the life histories of each of more than 336 million pixels on the landscape. The resulting trends identify periods of stability and change that are displayed as colors.In these false color images, the colors represent types of land; for example, blue areas are forests; orange/yellow areas are agriculture; and, purple areas are urban. Each 'stack' is representative of a Landsat scene. There are 22 stacks stitched together to cover most of the U.S. Pacific Northwest. This processed data is used for science, natural resource management, and education.We move in to the southwest corner of the data set near Redwood National Park and proceed on a slow tour through a portion of the data set. Time loops from 1984 through 2011 as we move. We move over to Mount Shasta, then up the Cascade Range, passing Crater Lake National Park, the Three Sisters, Mount Jefferson, Mount Hood, Mount Saint Helens, Mount Adams, Mount Rainier, Mount Baker, and the North Cascades National Park. Next we move west over Seattle and pass over Olympic National Park, then we head back south down the Willamette Valley back to Redwood National Park.Don't miss this related narrated visualization || ",
            "hits": 137
        },
        {
            "id": 3737,
            "url": "https://svs.gsfc.nasa.gov/3737/",
            "result_type": "Visualization",
            "release_date": "2010-06-22T00:00:00-04:00",
            "title": "Tropospheric Column Ozone",
            "description": "These visuals present retrieved global distribution of tropospheric column ozone from NASA's AURA spacecraft. Tropospheric ozone is close the ground and a component of pollution. This should be distinguished from high-altitude (stratospheric) ozone which shields the Earth's surface from ultraviolet radiation. Ozone measurements from the OMI and MLS instruments on board the Aura satellite are used for deriving global distributions of tropospheric column ozone (TCO). TCO is determined using the tropospheric ozone residual method which involves subtracting measurements of MLS stratospheric column ozone (SCO) from OMI total column ozone after adjusting for intercalibration differences of the two instruments using the convective-cloud differential method. The derived TCO field, which covers one complete year of mostly continuous daily measurements from January 2005 through December 2006, is used for studying the regional and global pollution on a timescale of a few days to months. MLS and OMI are two out of a total of four instruments on board the Aura spacecraft which is flown in a sunsynchronous polar orbit at 705 km altitude with a 98.2 degree inclination. The spacecraft has an equatorial crossing time of 1:45 pm (ascending node) with around 98.8 min per orbit (14.6 orbits per day on average). OMI is a nadir-scanning instrument that at visible (350-500 nm) and UV wavelength channels (UV-1: 270-314 nm; UV-2: 306-380 nm) detects backscattered solar radiance to measure column ozone. The MLS instrument is a thermal-emission microwave limb sounder that measures vertical profiles of mesospheric, stratospheric, and upper tropospheric temperature, ozone and other constituents from limb scans ahead of the Aura satellite. The MLS profile measurements are taken about 7 min before OMI views the same location during ascending (daytime) orbital tracks. These are referred as \"collocated\" measurements between OMI and MLS. The data shows signals due to convection, biomass burning, stratospheric influence, pollution, and transport. They are capable of capturing the spatiotemporal evolution of tropospheric column ozone. For more information see the links below: http://www.nasa.gov/vision/earth/environment/ozone_resource_page.htmlhttp://acdb-ext.gsfc.nasa.gov/Data_services/cloud_slice/#nd || ",
            "hits": 63
        },
        {
            "id": 3707,
            "url": "https://svs.gsfc.nasa.gov/3707/",
            "result_type": "Visualization",
            "release_date": "2010-05-01T00:00:00-04:00",
            "title": "Five Spheres - Land Changes through NDVI",
            "description": "Satellite data can be used to monitor the health of plant life from space. The Normalized Difference Vegetation Index (NDVI) provides a simple numerical indicator of the health of vegetation which can be used to monitoring changes in vegetation over time. This animation shows the seasonal changes in vegetation by fading between average monthly NDVI data from 2004. This animation of land changes is match framed to animation id a003708, a003709, a003710, and a003711. || ",
            "hits": 171
        },
        {
            "id": 3708,
            "url": "https://svs.gsfc.nasa.gov/3708/",
            "result_type": "Visualization",
            "release_date": "2010-05-01T00:00:00-04:00",
            "title": "Five Spheres - Tropospheric Ozone",
            "description": "Satellite data can be used to monitor the health of the atmosphere from space. This animation of atmospheric changes is match framed to animation entries 3707, 3709, 3710, and 3711. This dataset shows tropospheric ozone, which is close to the ground and a component of pollution. This should be distinguished from high altitude (stratospheric) ozone which shields the Earth's surface from ultraviolet radiation.For more information about tropospheric ozone see the links below:http://www.nasa.gov/vision/earth/environment/ozone_resource_page.htmlhttp://www.ozonelayer.noaa.gov/science/basics.htm || ",
            "hits": 73
        },
        {
            "id": 3709,
            "url": "https://svs.gsfc.nasa.gov/3709/",
            "result_type": "Visualization",
            "release_date": "2010-05-01T00:00:00-04:00",
            "title": "Five Spheres - Biosphere",
            "description": "Satellite data can be used to monitor the health of the biosphere from space. This animation of seasonal changes to the biosphere is match framed to animation entries 3707, 3708, 3710, and 3711. The SeaWiFS instrument is carried aboard the satellite OrbView-2, providing important information about the oceans, the land, and the life within them. On land, the dark greens show where there is abundant vegetation and tans show relatively sparse plant cover. In the oceans, red, yellow, and green pixels show dense phytoplankton blooms, those regions of the ocean that are the most productive over time, while blues and purples show where there is very little of the microscopic marine plants called phytoplankton. For most of the world's oceans, the most important things that influence its color are phytoplankton. Phytoplankton are very small, single-celled plants, generally smaller than the size of a pinhead that contain a green pigment called chlorophyll. All plants (on land and in the ocean) use chlorophyll to capture energy from the sun and through the process known as photosynthesis convert water and carbon dioxide into new plant material and oxygen. Although microscopic, phytoplankton can bloom in such large numbers that they can change the color of the ocean to such a degree that we can measure that change from space. The basic principle behind the remote sensing of ocean color from space is this: the more phytoplankton in the water, the greener it is...the less phytoplankton, the bluer it is. For more information, visit http://oceancolor.gsfc.nasa.gov/SeaWiFS/. || ",
            "hits": 98
        },
        {
            "id": 3710,
            "url": "https://svs.gsfc.nasa.gov/3710/",
            "result_type": "Visualization",
            "release_date": "2010-05-01T00:00:00-04:00",
            "title": "Five Spheres - Cryosphere",
            "description": "Sea ice is frozen seawater floating on the surface of the ocean. Some sea ice is semi-permanent, persisting from year to year, and some is seasonal, melting and refreezing from season to season. The sea ice cover reaches its minimum extent at the end of each summer and the remaining ice is called the perennial ice cover. The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA Earth Observing System (EOS) Aqua satellite, provides data mapped to a polar stereographic grid at 12.5 km spatial resolution. This satellite data can be used to monitor the health of the cryosphere from space. This animation of sea ice changes in the Arctic is match framed to animation entries 3707, 3708, 3709, and 3711. Over the water, Arctic sea ice changes from day to day showing a running 3-day maximum sea ice concentration in the region where the concentration is greater than 15%. The blueish white color of the sea ice is derived from a 3-day running maximum of the AMSR-E 89 GHz brightness temperature. Over the terrain, monthly data from the seasonal Blue Marble Next Generation fades slowly from month to month.For more information about sea ice see http://nsidc.org/data/amsre or http://modis-snow-ice.gsfc.nasa.gov. || ",
            "hits": 29
        },
        {
            "id": 3711,
            "url": "https://svs.gsfc.nasa.gov/3711/",
            "result_type": "Visualization",
            "release_date": "2010-05-01T00:00:00-04:00",
            "title": "Five Spheres - Water",
            "description": "Satellite data can be used to observe the dramatic ebb and flow of the our planet's water system from space. This animation of QuikSCAT's sea surface winds is match framed to animation entries 3707, 3708, 3709, and 3710. The SeaWinds Scatterometer instrument on the QuikSCAT satellite captures the always moving and complex sea surface. The mission has also provided critical information for monitoring, modeling, forecasting and researching our atmosphere, ocean and climate.By any measure of success, the 10-year-old QuikSCAT mission is a unique national resource that has achieved and far surpassed its science objectives. Designed for a two-year lifetime, QuikSCAT has been used around the globe by the world's operational meteorological agencies to improve weather forecasts and identify the location, size and strength of hurricanes and other storms in the open ocean. More information on QuikSCAT is online at: http://winds.jpl.nasa.gov/missions/quikscat/index.cfm. || ",
            "hits": 22
        },
        {
            "id": 3602,
            "url": "https://svs.gsfc.nasa.gov/3602/",
            "result_type": "Visualization",
            "release_date": "2009-07-07T00:00:00-04:00",
            "title": "TDRS Poster of the Northern Hemisphere",
            "description": "The Tracking and Data Relay Satellites (TDRS) comprise the communication satellite component of the Tracking and Data Relay Satellite System (TDRSS). TDRSS is a communication signal relay system which provides tracking and data aquisition services between low earth orbiting spacecraft and control and/or data processing facilities. TDRS supports many of NASA's missions including the space shuttles, Hubble and COBE. This image was created as a background for a 6 foot by 4 foot mural for display in Building 12 at Goddard Space Flight Center. The final poster will include a indication of the TDRSS ground segment located newr LasCruces, New Mexico as well as insets of several of the spacecraft that TDRSS supports. || ",
            "hits": 23
        },
        {
            "id": 3584,
            "url": "https://svs.gsfc.nasa.gov/3584/",
            "result_type": "Visualization",
            "release_date": "2009-06-05T00:00:00-04:00",
            "title": "A Global View of Seasonal NDVI",
            "description": "Satellite data can be used to monitor the health of plant life from space. The Normalized Difference Vegetation Index (NDVI) provides a simple numerical indicator of the health of vegetation which can be used to monitoring changes in vegetation over time. This animation shows the seasonal changes in vegetation by fading between average monthly NDVI data from 2004. The loop begins on September 24 and repeats six times during one full rotation of the globe at a rate of one frame per day. The fade for each month is complete on the 15th of each month. || ",
            "hits": 73
        },
        {
            "id": 3457,
            "url": "https://svs.gsfc.nasa.gov/3457/",
            "result_type": "Visualization",
            "release_date": "2009-05-27T00:00:00-04:00",
            "title": "Three Images of North America",
            "description": "A Song for the Horse Nation, an exhibit at the National Museum of the American Indian shown from November 14, 2009 through March 7, 2011, presents the epic story of the horse's influence on American Indian tribes from the 1600s to the present. Drawing upon a treasure-trove of stunning historical objects-including ledger drawings, hoof ornaments, beaded bags, hide robes, paintings, and other objects-and new pieces by contemporary Native artists, the exhibition reveals how horses shaped the social, economic, cultural, and spiritual foundations of American Indian life, particularly on the Great Plains.The story of American Indians and horses is one of the great sagas of human contact with the animal kingdom. The foundation of this extraordinary relationship was laid in 1493, when Christopher Columbus brought the first horses to the Western Hemisphere. As Spaniards surged westward from the Caribbean and northwards from Mexico, American Indians caught their first glimpse of the horse, and soon adopted it into their world. Horses revolutionized Native life and became an integral part of tribal cultures, honored in objects, stories, songs, and ceremonies. By the 1800s, Native American horsemanship was legendary in American culture at large, celebrated in paintings, photographs, Wild West shows, and later in movies and television programs. Today, the image of the mounted Native warrior remains fixed in the American imagination. With traditional and contemporary stories, songs, and poetry and using archival photographs, lithographs, maps, books, magazines, and audio-visual presentations, the exhibition brings the story up to the present, demonstrating that the horse, though no longer ubiquitous, is still venerated in Indian Country today.This exhibition is an outgrowth of the NMAI publication A Song for the Horse Nation: Horses in Native American Cultures, edited by George P. Horse Capture and Emil Her Many Horses (2006).In support of this exhibit, these three images showing the topography and seasonal landcover over North America were created as a background for an 'interactive map' where museum visitors can learn about the relationship between humans and horses over hundreds of years, and how trade, migration, and technology impacted this relationship. || ",
            "hits": 43
        },
        {
            "id": 3523,
            "url": "https://svs.gsfc.nasa.gov/3523/",
            "result_type": "Visualization",
            "release_date": "2008-01-07T00:00:00-05:00",
            "title": "Seasonal Landcover for Science On a Sphere",
            "description": "The Blue Marble Next Generation (BMNG) data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This series of images fades from month to month showing seasonal variations such as snowfall, spring greening and droughts in a seamless fashion. The data set,derived from monthly data collected in 2004, is shown on a flat cartesian grid. The ocean color is derived from applying a depth shading to the bathymetry data. Where available, the Antarctica coverage shown is the Landsat Image Mosaic of Antarctica (LIMA). || ",
            "hits": 41
        },
        {
            "id": 3329,
            "url": "https://svs.gsfc.nasa.gov/3329/",
            "result_type": "Visualization",
            "release_date": "2006-02-15T00:00:00-05:00",
            "title": "Photos of Tamarisk Seasonal Changes at the Grand Staircase Escalante National Monument, Utah",
            "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS).  The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor, and predict the spread of significant invasive plant species.  These photos show the seasonal change of one daunting invasive species, the Tamarisk tree, at the Grand Staircase Escalante National Monument in Utah.  It's important to note the slight differences in the Tamarisk growing season when compared to some of the plant life in the foreground and the trees in the background.  These slight seasonal differences allow the science team to distinguish Tamarisk from other vegetation through satellite sensors.  In these photos, the Tamarisk is the pink flowering foliage to the center right of the images. || ",
            "hits": 11
        },
        {
            "id": 3277,
            "url": "https://svs.gsfc.nasa.gov/3277/",
            "result_type": "Visualization",
            "release_date": "2005-10-19T00:00:00-04:00",
            "title": "Seasonal Landcover Change over the Nile Delta in 2004",
            "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the Nile Delta. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ",
            "hits": 22
        },
        {
            "id": 3278,
            "url": "https://svs.gsfc.nasa.gov/3278/",
            "result_type": "Visualization",
            "release_date": "2005-10-12T00:00:00-04:00",
            "title": "Seasonal Landcover Change over Eastern Asia in 2004",
            "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the Eastern Asia. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ",
            "hits": 12
        },
        {
            "id": 3269,
            "url": "https://svs.gsfc.nasa.gov/3269/",
            "result_type": "Visualization",
            "release_date": "2005-10-11T12:00:00-04:00",
            "title": "Seasonal Landcover Change over Western Asia in 2004",
            "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the Westerm Asia. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ",
            "hits": 61
        },
        {
            "id": 3270,
            "url": "https://svs.gsfc.nasa.gov/3270/",
            "result_type": "Visualization",
            "release_date": "2005-10-11T12:00:00-04:00",
            "title": "Seasonal Landcover Change over the Alps",
            "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the European Alps. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ",
            "hits": 56
        },
        {
            "id": 3271,
            "url": "https://svs.gsfc.nasa.gov/3271/",
            "result_type": "Visualization",
            "release_date": "2005-10-11T12:00:00-04:00",
            "title": "Seasonal Landcover Change over the Eastern United States",
            "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we focus on the seasonal land cover changes over the Eastern United States. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ",
            "hits": 57
        },
        {
            "id": 3272,
            "url": "https://svs.gsfc.nasa.gov/3272/",
            "result_type": "Visualization",
            "release_date": "2005-10-11T12:00:00-04:00",
            "title": "Global Seasonal Landcover in 2004",
            "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. Here we tour the globe, viewing seasonal land cover over many continents. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ",
            "hits": 64
        },
        {
            "id": 3273,
            "url": "https://svs.gsfc.nasa.gov/3273/",
            "result_type": "Visualization",
            "release_date": "2005-10-11T12:00:00-04:00",
            "title": "2004 Global Vegetation from Blue Marble Next Generation",
            "description": "The Blue Marble Next Generation data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This visualization of the data set shows seasonal variations such as snowfall, spring greening and droughts in a seamless fashion, thereby heightening awareness of changes in the Earth's climate. The image here shows a global view of the data. This data set is derived from imagery taken in 2004 by the MODIS instrument on the Terra satellite. || ",
            "hits": 34
        }
    ]
}