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    "results": [
        {
            "id": 31180,
            "url": "https://svs.gsfc.nasa.gov/31180/",
            "result_type": "Hyperwall Visual",
            "release_date": "2022-03-10T10:00:00-05:00",
            "title": "NASA and Agriculture: From Seeds to Satellites",
            "description": "Complete transcript available. || ComClas_Final_Cut.00148_print.jpg (1024x576) [55.5 KB] || Screen_Shot_2022-03-03_at_1.29.01_PM.png (2478x1382) [1.5 MB] || ComClas_Final_Cut.00148_searchweb.png (320x180) [45.5 KB] || ComClas_Final_Cut.00148_web.png (320x180) [45.5 KB] || ComClas_Final_Cut.00148_thm.png (80x40) [4.1 KB] || ComClas_Final_Cut.webm (1920x1080) [8.0 MB] || ComClas_Final_Cut.mp4 (1920x1080) [126.1 MB] || ComClas_Final_Cut_otter_ai.en_US.srt [1009 bytes] || ComClas_Final_Cut_otter_ai.en_US.vtt [1022 bytes] || ",
            "hits": 240
        },
        {
            "id": 10517,
            "url": "https://svs.gsfc.nasa.gov/10517/",
            "result_type": "Produced Video",
            "release_date": "2009-11-04T00:00:00-05:00",
            "title": "Remote Sensing Conceptual Animation",
            "description": "Satellite remote sensing is a tool for gathering information, usually about what is at the surface of Earth or planets and their moons, but also about the atmosphere. Remote sensing data are commonly combined with other kinds of data (typically, from field or \"on-the-spot\" studies [commonly called ground truth]) to act together as a system (for example, Geographic Information Systems, or GIS. || ",
            "hits": 48
        },
        {
            "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": 31
        },
        {
            "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": 17
        },
        {
            "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": 12
        },
        {
            "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": 230
        },
        {
            "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": 16
        },
        {
            "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": 36
        },
        {
            "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": 79
        }
    ]
}