{
    "count": 3,
    "next": null,
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    "results": [
        {
            "id": 5548,
            "url": "https://svs.gsfc.nasa.gov/5548/",
            "result_type": "Visualization",
            "release_date": "2025-06-05T07:00:59-04:00",
            "title": "Global Views of PACE Land Vegetation Data",
            "description": "Global view of three major classes of plant pigments observed by the PACE satellite: chlorophylls, carotenoids, and anthocyanins.",
            "hits": 145
        },
        {
            "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
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        {
            "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": 35
        }
    ]
}