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    "results": [
        {
            "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": 6
        },
        {
            "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": 8
        },
        {
            "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": 44
        },
        {
            "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": 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": 11
        },
        {
            "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": 35
        },
        {
            "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": 13
        },
        {
            "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": 19
        },
        {
            "id": 2853,
            "url": "https://svs.gsfc.nasa.gov/2853/",
            "result_type": "Visualization",
            "release_date": "2004-01-31T12:00:00-05:00",
            "title": "Multisensor Fire Observations with Labels (HD Version)",
            "description": "From space, we can understand fires in ways that are impossible from the ground. New Earth-observing satellites capture the significant impact of fires on our planet. In this animation of fires around the globe in 2002, each red dot marks a new fire. Dots change color to yellow after a few days and to black when fires burn out. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. In the summer and fall burning seasons, particularly destructive fires occurred in Colorado, Arizona, and Oregon. This version of the visualization displays descriptive text labels and color bars. There is a standard definition version available as well. || ",
            "hits": 27
        },
        {
            "id": 2854,
            "url": "https://svs.gsfc.nasa.gov/2854/",
            "result_type": "Visualization",
            "release_date": "2004-01-31T12:00:00-05:00",
            "title": "Multisensor Fire Observations without Labels (HD Version)",
            "description": "From space, we can understand fires in ways that are impossible from the ground. New Earth-observing satellites capture the significant impact of fires on our planet. In this animation of fires around the globe in 2002, each red dot marks a new fire. Dots change color to yellow after a few days and to black when fires burn out. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. In the summer and fall burning seasons, particularly destructive fires occurred in Colorado, Arizona, and Oregon. This version of the animation displays a minimal set of labels. For a closed captioned version of this animation, see the standard definition version at animation ID 2806. || ",
            "hits": 18
        },
        {
            "id": 2707,
            "url": "https://svs.gsfc.nasa.gov/2707/",
            "result_type": "Visualization",
            "release_date": "2003-11-03T12:00:00-05:00",
            "title": "Multisensor Fire Observations",
            "description": "From space, we can understand fires in ways that are impossible from the ground. New Earth-observing satellites capture the significant impact of fires on our planet. In this animation of fires around the globe in 2002, each red dot marks a new fire. Dots change color to yellow after a few days and to black when fires burn out. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. In the summer and fall burning seasons, particularly destructive fires occurred in Colorado, Arizona, and Oregon. || ",
            "hits": 16
        },
        {
            "id": 2806,
            "url": "https://svs.gsfc.nasa.gov/2806/",
            "result_type": "Visualization",
            "release_date": "2003-11-03T12:00:00-05:00",
            "title": "Multisensor Fire Observations without Labels",
            "description": "From space, we can understand fires in ways that are impossible from the ground. New Earth-observing satellites capture the significant impact of fires on our planet. In this animation of fires around the globe in 2002, each red dot marks a new fire. Dots change color to yellow after a few days and to black when fires burn out. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. In the summer and fall burning seasons, particularly destructive fires occurred in Colorado, Arizona, and Oregon. This animation of remote sensing observations of fires and other related data was chosen as part of the SIGGRAPH 2003 Computer Animation Theater. (The only difference was that the SIGGRAPH version had shorter credits.) || ",
            "hits": 26
        },
        {
            "id": 2790,
            "url": "https://svs.gsfc.nasa.gov/2790/",
            "result_type": "Visualization",
            "release_date": "2003-08-04T12:00:00-04:00",
            "title": "Time Series of the Biscuit Fire",
            "description": "This animation contains a time series of print resolution still images showing the progression of the Biscuit fire in Oregon during 2002.  Fire locations are represented as particles that change color as the fire ages.  The Biscuit fire burned 500,000 acres of forest in Oregon and Northern California during the summer and fall of 2002. || ",
            "hits": 61
        },
        {
            "id": 2791,
            "url": "https://svs.gsfc.nasa.gov/2791/",
            "result_type": "Visualization",
            "release_date": "2003-08-04T12:00:00-04:00",
            "title": "Time Series of the Biscuit Fire with Smoke",
            "description": "This animation contains a time series of print resolution still images showing the progression of the Biscuit fire with smoke plumes in Oregon during 2002. Fire locations are represented as particles that change color as the fire ages. The Biscuit fire burned 500,000 acres of forest in Oregon and Northern California during the summer and fall of 2002. || ",
            "hits": 12
        }
    ]
}