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    "results": [
        {
            "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": 59
        },
        {
            "id": 13910,
            "url": "https://svs.gsfc.nasa.gov/13910/",
            "result_type": "Produced Video",
            "release_date": "2021-08-18T14:00:00-04:00",
            "title": "Snack Time with NASA",
            "description": "Snack Time with NASA digs into the science behind what’s on your plate from a tasty cheese board, to seafood, to fresh produce, to chips and dip.Food can bring us a sense of home, and it connects people all around the world. With observations from space and aircraft, combined with high-end computer modeling, NASA scientists work together with partner agencies, organizations, farmers, ranchers, fishermen, and decision makers to understand the relationship between the Earth system and the environments that provide us food. || ",
            "hits": 25
        },
        {
            "id": 4915,
            "url": "https://svs.gsfc.nasa.gov/4915/",
            "result_type": "Visualization",
            "release_date": "2021-08-09T00:00:00-04:00",
            "title": "A Global view of Normalized Difference Vegetation Index (NDVI) Anomaly in crop-growing regions from 2000 to 2021",
            "description": "This visualization shows the NDVI anomaly from the year 2000 to 2021 in areas where maize, rice, soybeans, spring wheat or winter wheat are grown.  Green colors indicate more than average vegetatation while orange colors indicate less productive areas.Coming soon to our YouTube channel. || NDVI_anomaly_2000-2021.11770.png (1920x1080) [897.2 KB] || NDVI_anomaly_2000-2021.11770_print.jpg (1024x576) [79.6 KB] || NDVI_anomaly_2000-2021.11770_searchweb.png (320x180) [39.8 KB] || NDVI_anomaly_2000-2021.11770_thm.png (80x40) [4.5 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || NDVI_anomaly_2000-2021_1080p30.webm (1920x1080) [60.4 MB] || NDVI_anomaly_2000-2021_1080p30.mp4 (1920x1080) [146.7 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || captions_silent.31356.en_US.srt [43 bytes] || NDVI_Anomaly_2000_2021_4k_2160p30.mp4 (3840x2160) [608.3 MB] || NDVI_anomaly_2000-2021_1080p30.mp4.hwshow [196 bytes] || ",
            "hits": 439
        },
        {
            "id": 4916,
            "url": "https://svs.gsfc.nasa.gov/4916/",
            "result_type": "Visualization",
            "release_date": "2021-08-09T00:00:00-04:00",
            "title": "Normalized Difference Vegetation Index (NDVI) Anomaly in crop-growing regions for selected years",
            "description": "This visualization shows the NDVI anomaly in areas where maize, rice, soybeans, spring wheat or winter wheat are grown over the United States, Australia, Russia, Europe and southern Africa during certain years. Green colors indicate more than average vegetatation while orange colors indicate less productive areas.Coming soon to our YouTube channel. || NDVI_anomaly_regions.1020_print.jpg (1024x576) [140.2 KB] || NDVI_anomaly_regions.1020_searchweb.png (320x180) [72.6 KB] || NDVI_anomaly_regions.1020_thm.png (80x40) [5.9 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || NDVI_anomaly_regions_1080p30.mp4 (1920x1080) [110.9 MB] || captions_silent.31363.en_US.srt [43 bytes] || NDVI_anomaly_regions_1080p30.mp4.hwshow [194 bytes] || ",
            "hits": 151
        },
        {
            "id": 13899,
            "url": "https://svs.gsfc.nasa.gov/13899/",
            "result_type": "Produced Video",
            "release_date": "2021-07-28T15:00:00-04:00",
            "title": "Snack Time with NASA: Chips & Dip",
            "description": "Music credit: “Happy Accident” from Universal Production MusicThis video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery is provided by pond5.com and 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. || 13899_Thumbnail_print.jpg (1024x576) [188.2 KB] || 13899_Thumbnail.png (2646x1490) [5.6 MB] || 13899_Thumbnail_searchweb.png (320x180) [95.2 KB] || 13899_Thumbnail_web.png (320x180) [95.2 KB] || 13899_Thumbnail_thm.png (80x40) [11.2 KB] || 13899_Cooking_Show_Crops.webm (960x540) [220.1 MB] || TWITTER_720_13899_Cooking_Show_Crops.mp4 (1280x720) [98.8 MB] || 13899_Cooking_Show_Crops.mp4 (1920x1080) [1.2 GB] || 13899_Cooking_Show_Crops.en_US.srt [12.0 KB] || 13899_Cooking_Show_Crops.en_US.vtt [12.0 KB] || ",
            "hits": 19
        },
        {
            "id": 13894,
            "url": "https://svs.gsfc.nasa.gov/13894/",
            "result_type": "Produced Video",
            "release_date": "2021-07-26T09:00:00-04:00",
            "title": "Keeping Track of Food Production From Space",
            "description": "Music: Building Ideas [Instrumental] by Todd James Carlin BakerComplete transcript available. || GLAM_thumbnail.png (1280x720) [796.0 KB] || GLAM_thumbnail_print.jpg (1024x576) [133.6 KB] || GLAM_thumbnail_searchweb.png (320x180) [57.4 KB] || GLAM_thumbnail_thm.png (80x40) [5.1 KB] || GLAM_FINAL.mov (1280x720) [887.4 MB] || GLAM_FINAL.mp4 (1280x720) [122.3 MB] || GLAM_FINAL.webm (1280x720) [13.1 MB] || GLAM_Captions.en_US.srt [2.3 KB] || GLAM_Captions.en_US.vtt [2.3 KB] || ",
            "hits": 31
        },
        {
            "id": 4071,
            "url": "https://svs.gsfc.nasa.gov/4071/",
            "result_type": "Visualization",
            "release_date": "2013-05-08T12:00:00-04:00",
            "title": "Normalized Differential Vegetation Index critical to Agricultural Monitoring in Ukraine, Russia, and Kazakhstan",
            "description": "On April 29-30, 2012 the G8 International Conference on Open Data for Agriculture brought together open data and agriculture experts along with the U.S. Agriculture Secretary U.S. Chief Technology Officer, and the World Bank Vice President for Sustainable Development to explore more opportunities for open data and knowledge sharing. Governments want to help their farmers protect crops from pests and extreme weather, monitor water supplies and anticipate planting seasons that are shifting due to climate change.  New satellite technologies offer enhanced capabilities for early forecasting of food production at national, regional, and global scales. The Group on Earth Observations (GEO) Global Agricultural Monitoring (GEOGLAM) program aims to strengthen national capacity in all countries from freely available data.These visuals show MODIS' satellite-derived crop NDVI Anomaly relative to average (2000-2011). Orange and brown indicate crop with below average conditions. Green indicates crop with above averate conditions. || ",
            "hits": 62
        },
        {
            "id": 4072,
            "url": "https://svs.gsfc.nasa.gov/4072/",
            "result_type": "Visualization",
            "release_date": "2013-05-08T12:00:00-04:00",
            "title": "Normalized Differential Vegetation Index critical to Agricultural Monitoring in the United States",
            "description": "On April 29-30, 2012 the G8 International Conference on Open Data for Agriculture brought together open data and agriculture experts along with the U.S. Agriculture Secretary U.S. Chief Technology Officer, and the World Bank Vice President for Sustainable Development to explore more opportunities for open data and knowledge sharing. Governments want to help their farmers protect crops from pests and extreme weather, monitor water supplies and anticipate planting seasons that are shifting due to climate change.  New satellite technologies offer enhanced capabilities for early forecasting of food production at national, regional, and global scales. The Group on Earth Observations (GEO) Global Agricultural Monitoring (GEOGLAM) program aims to strengthen national capacity in all countries from freely available data.These visuals show MODIS' satellite-derived crop NDVI Anomaly relative to average (2000-2011). Orange and brown indicate crop with below average conditions. Green indicates crop with above averate conditions. The visual compares the crop conditions or NDVI anomaly from year 2011-2012 to year 2012-2013. In the 2012-2013 year 7,342 more metric tons (MT) of wheat were produced then in the previous year, but 40,086 fewer metric tons of corn were produced. || ",
            "hits": 150
        },
        {
            "id": 11159,
            "url": "https://svs.gsfc.nasa.gov/11159/",
            "result_type": "Produced Video",
            "release_date": "2012-12-04T10:00:00-05:00",
            "title": "2012 and the Future of Fire",
            "description": "The U.S. fire season in 2012 was by some measures a record-breaking season. NASA scientist Doug Morton and University of Maryland scientist Louis Giglio discuss the links between climate and wildfires and the likelihood of seeing more extreme fire events in the future.  This page includes a short video discussing these topics, extended interview clips from Giglio and Morton, and visualizations of the 2012 fire season in North America. || ",
            "hits": 19
        },
        {
            "id": 10605,
            "url": "https://svs.gsfc.nasa.gov/10605/",
            "result_type": "Produced Video",
            "release_date": "2010-07-02T00:00:00-04:00",
            "title": "Know Your Earth: Earth Observing Fleet Studies Climate",
            "description": "This animated video shares a series of fascinating facts about how climate change affects oceans, land, the atmosphere, and ice sheets around the world. With the help of an animated astronaut touring the Earth, the video explains how NASA's Earth observing satellite fleet enables scientists to gather accurate data and understand those changes.For complete transcript, click here. || G2010-072_Know_Your_Earth_youtube_hq.02196_print.jpg (1024x576) [105.9 KB] || G2010-072_Know_Your_Earth_youtube_hq_web.png (320x180) [281.3 KB] || G2010-072_Know_Your_Earth_youtube_hq_thm.png (80x40) [17.6 KB] || G2010-072_Know_Your_Earth_appletv.webmhd.webm (960x540) [41.1 MB] || G2010-072_Know_Your_Earth_appletv.m4v (960x540) [99.6 MB] || G2010-072_Know_Your_Earth_prores.mov (1280x720) [2.9 GB] || G2010-072_Know_Your_Earth_Final.wmv (1280x720) [89.9 MB] || G2010-072_Know_Your_Earth_youtube_hq.mov (1280x720) [105.0 MB] || G2010-072_Know_Your_Earth_ipod_lg.m4v (640x360) [33.5 MB] || G2010-072_Know_Your_Earth.m4v (320x240) [18.1 MB] || G2010-072_Know_Your_Earth_SVS.mpg (512x288) [27.1 MB] || ",
            "hits": 63
        },
        {
            "id": 3651,
            "url": "https://svs.gsfc.nasa.gov/3651/",
            "result_type": "Visualization",
            "release_date": "2009-10-07T12:00:00-04:00",
            "title": "World Droughts From 2005 to 2009 Versus Where Crops are Grown",
            "description": "The Global Inventory Monitoring and Modeling Studies (GIMMS) group at NASA Goddard Space Flight Center (NASA/GSFC) provides United States Department of Agriculture/Foreign Agricultural Service (USDA/FAS) with global data stream of NDVI that spans over two decades (1981-present). The GIMMS NDVI is derived from measurements made by the Advanced Very High Resolution Radiometer (AVHRR), Global Area Coverage (GAC) data from the National Atmospheric Oceanic Administration (NOAA) polar orbiting series of satellites. GIMMS has inter-calibrated the data from the NOAA-AVHRR satellite series and performed atmospheric correction to minimize the effects of volcanic aerosols to produce and maintain a consistent NDVI archive. The NDVI archive from GIMMS provides the historic database for monitoring the response of vegetation to climatic conditions.Linking the MODIS data to the long-term GIMMS AVHRR/NDVI, archive and SPOT Vegetation sensor data is a critical component of this project providing a consistent multi-source long-term data record for agricultural monitoring. This allows FAS analysts to compare current data with the spatial extent and severity of NDVI anomalies associated with heat stress, droughts and floods associated with crop failures. || ",
            "hits": 28
        },
        {
            "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": 11
        },
        {
            "id": 3650,
            "url": "https://svs.gsfc.nasa.gov/3650/",
            "result_type": "Visualization",
            "release_date": "2009-10-06T12:00:00-04:00",
            "title": "Food Insecure Countries",
            "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. Food security in 70 developing countries is projected to deteriorate over the next decade, according to USDA's Economic Research Service. After rising nearly 11 percent from 2007 to 2008, the number of food-insecure people in the developing countries analyzed by ERS researchers is estimated to rise to 833 million in 2009, an almost 2-percent rise from 2008 to 2009. Despite a decline in food prices in late 2008, deteriorating purchasing power and food security are expected in 2009 because of the growing financial deficits and higher inflation that have occurred in recent years. Food-insecure people are defined as those consuming less than the nutritional target of 2,100 calories per day per person. || ",
            "hits": 29
        },
        {
            "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": 61
        },
        {
            "id": 3637,
            "url": "https://svs.gsfc.nasa.gov/3637/",
            "result_type": "Visualization",
            "release_date": "2009-10-05T12:00:00-04:00",
            "title": "Deforestation of Rondonia, Brazil from 1975 to 2009",
            "description": "In the 1970s, Brazil's Program of National Integration built roads across the Amazon and settled land along these roads with colonists. These roads were catalysts of land use change in the Amazon.Brazil is also home to more than a quarter of Earth's tropical forests. Considering that the band of lush green that circles the globe through many equatorial nations is fundamental to the overall health of the whole planet's environment, careful monitoring of forest health in the tropics is essential. Tropical forests act as major carbon 'sinks', places where ambient carbon dioxide in the atmosphere can be absorbed by growing things and sequestered for years. Definitive evidence shows that excess carbon dioxide can contribute to the greenhouse effect and speed global warming. Similarly, tropical forests also act as a primary producer of oxygen. In the respiration process that absorbs gaseous carbon dioxide, trees and other plants give off oxygen.Data taken in 1975 and 2009 from the Landsat series of spacecraft shows enormous tracts of forest disappearing in Rondonia, Brazil. || ",
            "hits": 239
        },
        {
            "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": 14
        },
        {
            "id": 10491,
            "url": "https://svs.gsfc.nasa.gov/10491/",
            "result_type": "Produced Video",
            "release_date": "2009-09-30T00:00:00-04:00",
            "title": "Science For a Hungry World: NASA's Partners",
            "description": "Every day, NASA collects information vital to food production all over the world. This information is a valuable asset.  NASA's mission: to give it away for free. With the data they collect, teams of NASA researchers and their partners at the USDA Foreign Agriculture Service, USAID Famine Early Warning Network (FEWS NET), NOAA, and several major universities including the University of Maryland, work to increase crop yields, ease famine, and keep the global agricultural system functioning.For complete transcript, click here. || ag_ep_2_H.264_iPod_320x240.01192_print.jpg (1024x576) [85.5 KB] || ag_ep_2_H.264_iPod_320x240_web.png (320x180) [108.6 KB] || ag_ep_2_H.264_iPod_320x240_thm.png (80x40) [12.4 KB] || Ag_Ep_2_full_res-H.264_for_Apple_TV.webmhd.webm (960x540) [65.1 MB] || ag_ep_2_draft_5-Ag_ep2_Partners_09-25-09_1804_copy-720_H.264_QT_for_16x9_Youtube.mov (1280x720) [69.5 MB] || Ag_Ep_2_full_res-H.264_for_Apple_TV.m4v (960x540) [166.6 MB] || ag_ep_2_draft_5-Ag_ep2_Partners_09-25-09_1804_copy-H.264_for_iPod_video_and_iPhone_640x480.m4v (640x360) [56.2 MB] || GSFC_20090930_ag_ep_2_m10491.en_US.srt [11.6 KB] || GSFC_20090930_ag_ep_2_m10491.en_US.vtt [11.2 KB] || ag_ep_2_H.264_iPod_320x240.m4v (320x180) [20.7 MB] || Ag_Ep_2_full_res.wmv (320x236) [43.4 MB] || bigmovie-agriculture_part2_video.hwshow || ",
            "hits": 40
        },
        {
            "id": 3624,
            "url": "https://svs.gsfc.nasa.gov/3624/",
            "result_type": "Visualization",
            "release_date": "2009-09-13T01:00:00-04:00",
            "title": "2008 Northern Australia Fire Observations",
            "description": "The data used to generate this animation were collected by the NASA MODIS intrument. Data are collected four times per day using two satellite platforms. The instrument design included the capability to identify active fires sensing in the middle infrared part of the spectrum. The fire data used in the animation were generated by the MODIS advanced processing system at NASA. The MODIS Global Fire data are available free of charge and within a few hours of satellite acquisition. The fire data are used by scientists and fire managers around the world.  The fires that these data show include - savanna fires, wildfires, managed fires, agricultural fires, and thermal anomalies associated with power plants or gas flares. Fires occur around the world at different times of the year. MODIS is entering its 10th year of data collection and we are using the data to study the global distribution of fires and document changed in fire regimes due to climate or land use change. These fire data are used by Australian fire managers and scientists. Dr Chris Justice and the MODIS team participated in the NAILSMA experiment. NAILSMA was commissioned by the Northern Australia Land and Water Taskforce to convene a forum to bring together key Indigenous water experts from across the north of Australia to discuss their water interests and issues. This part of Northern Australia is an important area in terms of biodiversity and fire is an integral ecosystem process. We are interested in applying these data and other data from the MODIS instrument to better understand the occurence of fire and its characteristics in the Northern Territories with respect to emissions of trace gases into the atmosphere an the imacts of fire on the ecosystem. || ",
            "hits": 29
        },
        {
            "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": 32
        },
        {
            "id": 3598,
            "url": "https://svs.gsfc.nasa.gov/3598/",
            "result_type": "Visualization",
            "release_date": "2009-06-24T12:00:00-04:00",
            "title": "Monitoring Agricultural Production from Space",
            "description": "Normalized Difference Vegetation Index (NDVI) maps allow comparisons of the spatial and temporal variability in the amount and condition of vegetation. The time series satellite derived NDVI was used to monitor and analyze changes in vegetation patterns in the major wheat production domain area in Australia. The NDVI comparison was done during the growing season, April through November, for 2002, 2005, and 2006 and it found that significant differences in vegetation growth production. These data and utilities are fundamental for crop yield forecasts and can serve as an early warning system for regions suffering from crop loss and food shortages. Wheat is Australia's most important crop, with a seasonal gross value approaching 3 billion Australian dollars. Australia contributes between and 8 and 15% of world's wheat trade, making it the fourth largest exporter after the United States, Canada and the European Union. Severe drought in Australia not only decimating crops, but it also curtails exports and causes major price and trade impacts on global markets. In 2006, wheat exports dropped by a third from the year before which caused worldwide prices to soar to the highest levels in a decade. || ",
            "hits": 37
        },
        {
            "id": 3597,
            "url": "https://svs.gsfc.nasa.gov/3597/",
            "result_type": "Visualization",
            "release_date": "2009-06-13T01:00:00-04:00",
            "title": "Fire Observations - As the World Turns",
            "description": "From space, we can understand fires in ways that are impossible from the ground. NASA research has contributed to much improved detection of fire for scientific purposes using satellite remote sensing and geographic information systems. This has helped advance our understanding of the impacts of fire in many areas of earth science, including atmospheric chemistry and the impacts on protected areas. This research has led to the development of a rapid response system widely used throughout the world for both natural resource management and for firefighting by providing near real-time information. In this animation of fires around the globe in 2007, each red dot marks a new fire. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/ || ",
            "hits": 20
        }
    ]
}