{ "count": 17, "next": null, "previous": null, "results": [ { "id": 13946, "url": "https://svs.gsfc.nasa.gov/13946/", "result_type": "Produced Video", "release_date": "2021-10-01T15:00:00-04:00", "title": "Landsat 9 Launch Footage", "description": "Video showing the countdown and launch of Landsat 9, on Monday, Sept 27, 2021. The satellite launched at 2:12pm EDT, from Vandenberg Space Force Base in California, riding on and Atlas V rocket. || L9_launch_footage_print.jpg (1280x720) [232.9 KB] || L9_launch_footage_print_searchweb.png (320x180) [70.4 KB] || L9_launch_footage_print_thm.png (80x40) [5.3 KB] || L9_launch_footage.mp4 (1280x720) [42.0 MB] || L9_launch_footage.webm (1280x720) [6.7 MB] || L9_launch_footage-captions.en_US.srt [1.0 KB] || L9_launch_footage-captions.en_US.vtt [997 bytes] || ", "hits": 91 }, { "id": 13919, "url": "https://svs.gsfc.nasa.gov/13919/", "result_type": "Produced Video", "release_date": "2021-08-31T10:00:00-04:00", "title": "Landsat 9 L-16 Press Briefing Graphics", "description": "Officials from NASA and the U.S. Geological Survey (USGS) discussed the upcoming launch of the Landsat 9 satellite during a media briefing at 10 a.m. EDT Tuesday, Aug. 31.The Landsat 9 launch is targeted for no earlier than Thursday, Sept. 23, 2021.The media briefing will air live on NASA TV, the NASA app, and the agency’s website.Data from Landsat 9 will add to nearly 50 years of free and publicly available data from the Landsat program. The Landsat program is the longest-running enterprise for acquisition of satellite imagery of Earth. It is a joint NASA/USGS program. Researchers harmonize Landsat data to detect the footprint of human activities and measure the effects of climate change on land over decades.Once fully operational in orbit, Landsat 9 will replace Landsat 7 and join its sister satellite, Landsat 8, in continuing to collect data from across the planet every eight days. This calibrated data will continue the Landsat program’s critical role in monitoring land use and helping decision-makers manage essential resources including crops, water resources, and forests.Briefing participants, in speaking order, are:•Karen St. Germain, director of NASA's Earth Science Division•Del Jenstrom, Landsat 9 project manager at NASA’s Goddard Space Flight Center in Greenbelt, Maryland•Jeff Masek, Landsat 9 project scientist at Goddard•David Applegate, acting director of USGS•Birgit Peterson, geographer at USGS•Inbal Becker-Reshef, director of NASA’s Harvest food security and agriculture program.NASA manages the Landsat 9 mission. Goddard teams also built and tested one of the two instruments on Landsat 9, the Thermal Infrared Sensor 2 (TIRS-2) instrument. TIRS-2 will use thermal imaging to make measurements that are used to calculate soil moisture and detect the health of plants.The USGS Earth Resources Observation and Science Center in Sioux Falls, South Dakota, will operate the mission and manage the ground system, including maintaining the Landsat archive. Ball Aerospace in Boulder, Colorado, built and tested the Operational Land Imager 2 (OLI-2) instrument, another imaging sensor that provides data in the visible, near infrared, and shortwave infrared portions of the spectrum. United Launch Alliance is the rocket provider for Landsat 9’s launch. Northrop Grumman in Gilbert, Arizona, built the Landsat 9 spacecraft, integrated it with instruments, and tested the observatory.For more information:Media AdvisoryLandsat Video Resourceshttps://landsat.gsfc.nasa.gov/https://www.usgs.gov/landsat || ", "hits": 25 }, { "id": 20322, "url": "https://svs.gsfc.nasa.gov/20322/", "result_type": "Animation", "release_date": "2021-01-12T20:00:00-05:00", "title": "Landsat Lightpath Animations", "description": "For nearly half a century, the Landsat mission has shaped our understanding of Earth. Since the launch of the first Landsat satellite in 1972, the mission has gathered and archived more than 8 million images of our home planet’s terrain, including crop fields and sprawling cities, forests and shrinking glaciers. These data-rich images are free and publicly available, leading to scientific discoveries and informed resource management.Landsat 9 will carry two instruments that largely replicate the instruments on Landsat 8: the Operational Land Imager 2 (OLI-2) and the Thermal Infrared Sensor 2 (TIRS-2). OLI-2 and TIRS-2 are optical sensors that detect 11 wavelengths of visible, near infrared, shortwave infrared, and thermal infrared light as it is reflected or emitted from the planet’s surface. Data from these instruments are processed and stored at the USGS Earth Resources Observation and Science (EROS) Center in Sioux Falls, South Dakota—where decades worth of data from all of the Landsat satellites are stored and made available for free to the public.The Landsat mission, a partnership between NASA and the U.S. Geological Survey (USGS), has provided the longest continuous record of Earth’s land surfaces from space. The consistency of Landsat’s land-cover data from sensor to sensor and year to year makes it possible to trace land-cover changes from 1972 to the present, and it will continue into the future with Landsat 9. With better technology than ever before, Landsat 9 will enhance and extend the data record to the 50-year mark and beyond. || ", "hits": 59 }, { "id": 31032, "url": "https://svs.gsfc.nasa.gov/31032/", "result_type": "Hyperwall Visual", "release_date": "2019-04-08T00:00:00-04:00", "title": "Historic Floods Inundate Nebraska", "description": "Comparison of imagery of Omaha in March 2018 and 2019 shows flooding in 2019 || omaha_oli_flooding_2019_print.jpg (1024x576) [246.2 KB] || omaha_oli_flooding_2019.png (3840x2160) [12.9 MB] || omaha_oli_flooding_2019_searchweb.png (320x180) [124.7 KB] || omaha_oli_flooding_2019_thm.png (80x40) [6.8 KB] || omaha_oli_flooding_2019_1080p.mp4 (1920x1080) [3.0 MB] || omaha_oli_flooding_2019_720p.mp4 (1280x720) [1.6 MB] || omaha_oli_flooding_2019_720p.webm (1280x720) [635.5 KB] || omaha_oli_flooding_2019_3840p.mp4 (3840x2160) [8.5 MB] || ", "hits": 87 }, { "id": 40339, "url": "https://svs.gsfc.nasa.gov/gallery/visualization-principles/", "result_type": "Gallery", "release_date": "2017-11-06T00:00:00-05:00", "title": "The Curious World of Scientific Visualization", "description": "Explore data brought to life by NASA’s artists and scientists\r\rData Brought to Life\rData is only as powerful as our ability to make sense of it. The right tools can help us find meaning in a trove of information and experience the wonder in it. When artists and scientists work in concert, they unearth stories within datasets and push the boundaries of knowledge. This collaboration is both a creative process and a mathematical one. Scientific visualization is not a mere translation of numbers into pictures: shapes and colors breathe life into real scientific data, allowing us to see patterns and complexities that were once invisible or unknown. The visualization itself becomes a vehicle for scientific inquiry, capturing the curiosity of both artist and scientist. When shared with the world, these data-driven artworks inspire as much as they educate and entertain. Scientific visualization reminds us of the beauty in understanding, and it is a means of discovery all its own. \r\rScientific Visualization at NASA\rAt NASA’s Goddard Space Flight Center, scientists work alongside a team of artists to extend their research into the visual space. The Scientific Visualization Studio creates animations and videos that showcase the latest discoveries in Earth and space sciences. These visualizations are both insightful tools for the NASA research community and accessible science stories designed to be enjoyed by people of all walks of life. As one of NASA’s leading outreach efforts, the Scientific Visualization Studio empowers scientists to share their work with as wide an audience as possible, in the most creative and engaging way possible. \r", "hits": 202 }, { "id": 11974, "url": "https://svs.gsfc.nasa.gov/11974/", "result_type": "Produced Video", "release_date": "2015-08-17T19:00:00-04:00", "title": "Mining for Water in Kansas", "description": "This image from 2015, and the accompanying images from 1972, 1988, and 2011 show the transformation of Kansas farmland from dryland, rectangular fields to circular irrigated fields from center-pivot irrigation systems. The mining of ground water for agriculture has been a significant trend globally over the last half-century, and these images of a region in Kansas highlight the trend within the United States. || Garden_city_KS-2015_print.jpg (1024x975) [580.9 KB] || Garden_city_KS-2015_searchweb.png (320x180) [147.7 KB] || Garden_city_KS-2015_thm.png (80x40) [9.3 KB] || Garden_city_KS-2015.tif (3920x3736) [41.9 MB] || ", "hits": 58 }, { "id": 4315, "url": "https://svs.gsfc.nasa.gov/4315/", "result_type": "Visualization", "release_date": "2015-06-17T17:00:00-04:00", "title": "Lightning Over South Dakota", "description": "The South Dakota Lightning Mapping Array (LMA) consists of 10 sensor stations that monitor very high frequency radio waves emitted by lightning. This dataset provides detailed information about a lightning event that occurred in western South Dakota around 2:50 PM on July 19th, 2014. The lightning flash contour data were generated by the scientists based on the raw LMA data. The lightning showed in this work lasts about 1.5 seconds. The animation repeats the lightning event 14 times played at the actual speed of the event to illustrate detailed 3D lightning observations and the lightning's dynamic progression providing a unique perspective on extreme weather. || ", "hits": 24 }, { "id": 4209, "url": "https://svs.gsfc.nasa.gov/4209/", "result_type": "Visualization", "release_date": "2014-09-10T00:00:00-04:00", "title": "Forest Cover Loss 2000-2012 in Colorado, Oklahoma, and Saskatechewan", "description": "Twelve years of global deforestation, wildfires, windstorms, insect infestations, and more are captured in a new set of forest disturbance maps created from billions of pixels acquired by the imager on the NASA-USGS Landsat 7 satellite. The maps are the first to measure forest loss and gain using a consistent method around the globe at high spatial resolution, allowing scientists to compare forest changes in different countries and to monitor annual deforestation. Since each pixel in a Landsat image represents a piece of land about the size of a baseball diamond, researchers can see enough detail to tell local, regional and global stories. Hansen and colleagues analyzed 143 billion pixels in 654,000 Landsat images to compile maps of forest loss and gain between 2000 and 2012. During that period, 888,000 square miles (2.3 million square kilometers) of forest was lost, and 308,900 square miles (0.8 million square kilometers) regrew. The researchers, including scientists from the University of Maryland, Google, the State University of New York, Woods Hole Research Center, the U.S. Geological Survey and South Dakota State University, published their work in the Nov. 15, 2013, issue of the journal Science.Key to the project was collaboration with team members from Google Earth Engine, who reproduced in the Google Cloud the models developed at the University of Maryland for processing and characterizing the Landsat data; Google Earth Engine contains a complete copy of the Landsat record. The computing required to generate these maps would have taken 15 years on a single desktop computer, but with cloud computing was performed in a few days. Since 1972, the Landsat program has played a critical role in monitoring, understanding and managing the resources needed to sustain human life such as food, water and forests. Landsat 8 launched Feb. 11, 2013, and is jointly managed by NASA and USGS to continue the 40-plus years of Earth observations. To view the forest cover maps in Google Earth Engine, visit: http://earthenginepartners.appspot.com/google.com/science-2013-global-forest || ", "hits": 19 }, { "id": 11560, "url": "https://svs.gsfc.nasa.gov/11560/", "result_type": "Produced Video", "release_date": "2014-08-27T11:50:00-04:00", "title": "Summer 2014 Interns", "description": "All the videos of Goddard's summer 2014 interns can be found below. || ", "hits": 15 }, { "id": 11393, "url": "https://svs.gsfc.nasa.gov/11393/", "result_type": "Produced Video", "release_date": "2013-11-14T14:00:00-05:00", "title": "Global Forest Cover, Loss, and Gain 2000-2012", "description": "Twelve years of global deforestation, wildfires, windstorms, insect infestations, and more are captured in a new set of forest disturbance maps created from billions of pixels acquired by the imager on the NASA-USGS Landsat 7 satellite. The maps are the first to measure forest loss and gain using a consistent method around the globe at high spatial resolution, allowing scientists to compare forest changes in different countries and to monitor annual deforestation. Since each pixel in a Landsat image represents a piece of land about the size of a baseball diamond, researchers can see enough detail to tell local, regional and global stories. Hansen and colleagues analyzed 143 billion pixels in 654,000 Landsat images to compile maps of forest loss and gain between 2000 and 2012. During that period, 888,000 square miles (2.3 million square kilometers) of forest was lost, and 308,900 square miles (0.8 million square kilometers) regrew. The researchers, including scientists from the University of Maryland, Google, the State University of New York, Woods Hole Research Center, the U.S. Geological Survey and South Dakota State University, published their work in the Nov. 15, 2013, issue of the journal Science.Key to the project was collaboration with team members from Google Earth Engine, who reproduced in the Google Cloud the models developed at the University of Maryland for processing and characterizing the Landsat data; Google Earth Engine contains a complete copy of the Landsat record. The computing required to generate these maps would have taken 15 years on a single desktop computer, but with cloud computing was performed in a few days. Since 1972, the Landsat program has played a critical role in monitoring, understanding and managing the resources needed to sustain human life such as food, water and forests. Landsat 8 launched Feb. 11, 2013, and is jointly managed by NASA and USGS to continue the 40-plus years of Earth observations. To view the forest cover maps in Google Earth Engine, visit: http://earthenginepartners.appspot.com/google.com/science-2013-global-forest || ", "hits": 186 }, { "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": 36 }, { "id": 2493, "url": "https://svs.gsfc.nasa.gov/2493/", "result_type": "Visualization", "release_date": "2002-07-15T12:00:00-04:00", "title": "Drought over Western United States (Stills)", "description": "The product that generated these images is the Normalized Difference Vegetation Index (NDVI), which measures the health of plant life based on their levels of photosynthesis. The NDVI was developed by Compton Tucker, a senior scientist at NASA/Goddard. || NDVI measurments for Arizona during May, 2002. || az_whole.0001.jpg (2560x1920) [804.6 KB] || az_whole.0001_web.jpg (320x240) [16.3 KB] || az_whole.0001.tif (2560x1920) [5.8 MB] || ", "hits": 6 }, { "id": 2390, "url": "https://svs.gsfc.nasa.gov/2390/", "result_type": "Visualization", "release_date": "2002-03-20T12:00:00-05:00", "title": "Push-in to the Black Hills, South Dakota", "description": "Movie of the push-in to Black Hills, South Dakota. || a002390.00005_print.png (720x480) [214.9 KB] || BlackHills_pre.jpg (320x240) [4.9 KB] || a002390_720x480.webmhd.webm (960x540) [3.2 MB] || a002390_720x480.mpg (720x480) [4.8 MB] || a002390_NTSC.m2v (720x480) [9.6 MB] || a002390.dv (720x480) [44.6 MB] || a002390_NTSC.mp4 (640x480) [2.1 MB] || BlackHills.mpg (320x240) [1.6 MB] || ", "hits": 18 }, { "id": 593, "url": "https://svs.gsfc.nasa.gov/593/", "result_type": "Visualization", "release_date": "1999-04-22T12:00:00-04:00", "title": "First Images from Landsat 7: Sailing Down the Missouri River", "description": "First Images from Landsat 7, South Dakota and theMissouri River. In this animation the viewer is flown down the Missouririver and delivered to Yankton, South Dakota, from an image taken April 22, 1998. || a000593.00005_print.png (720x480) [591.6 KB] || a000593_thm.png (80x40) [6.2 KB] || a000593_pre.jpg (320x242) [13.6 KB] || a000593_pre_searchweb.jpg (320x180) [85.9 KB] || a000593.webmhd.webm (960x540) [9.5 MB] || a000593.dv (720x480) [137.3 MB] || a000593.mp4 (640x480) [7.5 MB] || a000593.mpg (352x240) [4.8 MB] || ", "hits": 35 }, { "id": 594, "url": "https://svs.gsfc.nasa.gov/594/", "result_type": "Visualization", "release_date": "1999-04-22T12:00:00-04:00", "title": "First Images from Landsat 7: Zooming Down to Yankton, South Dakota", "description": "Zoom down to Yankton, South Dakota || Zooming down to Yankton, South Dakota, in an image taken by Landsat 7 on April 22, 1999 || a000594.00005_print.png (720x480) [641.0 KB] || a000594_thm.png (80x40) [6.8 KB] || a000594_pre.jpg (320x217) [23.4 KB] || a000594_pre_searchweb.jpg (320x180) [117.4 KB] || a000594.webmhd.webm (960x540) [4.3 MB] || a000594.dv (720x480) [61.8 MB] || a000594.mp4 (640x480) [3.4 MB] || a000594.mpg (352x240) [2.6 MB] || ", "hits": 35 }, { "id": 595, "url": "https://svs.gsfc.nasa.gov/595/", "result_type": "Visualization", "release_date": "1999-04-22T12:00:00-04:00", "title": "First Images from Landsat 7: Flying Down I-90 to Sioux Falls, South Dakota", "description": "Flying down Interstate 90 to Sioux Falls, South Dakota using an image from Landsat 7 taken April 22, 1999 || a000595.00005_print.png (720x480) [643.8 KB] || a000595_thm.png (80x40) [7.1 KB] || a000595_pre.jpg (320x238) [15.4 KB] || a000595_pre_searchweb.jpg (320x180) [96.9 KB] || a000595.webmhd.webm (960x540) [13.2 MB] || a000595.dv (720x480) [188.8 MB] || a000595.mp4 (640x480) [10.3 MB] || a000595.mpg (352x240) [6.7 MB] || ", "hits": 35 }, { "id": 596, "url": "https://svs.gsfc.nasa.gov/596/", "result_type": "Visualization", "release_date": "1999-04-22T12:00:00-04:00", "title": "First Images from Landsat 7: South Dakota and the Missouri River.", "description": "In this animation, using Landsat 7 data, the viewer is flown down to the Missouri River and along it to Yankton, South Dakota, from an image taken April 22, 1999. || a000596.00005_print.png (720x480) [635.1 KB] || a000596_thm.png (80x40) [6.7 KB] || a000596_pre.jpg (320x217) [21.6 KB] || a000596_pre_searchweb.jpg (320x180) [106.9 KB] || a000596.webmhd.webm (960x540) [14.8 MB] || a000596.dv (720x480) [205.9 MB] || a000596.mp4 (640x480) [11.3 MB] || a000596.mpg (352x240) [7.3 MB] || ", "hits": 35 } ] }