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            "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] || ",
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        {
            "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] || ",
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        {
            "id": 13723,
            "url": "https://svs.gsfc.nasa.gov/13723/",
            "result_type": "Produced Video",
            "release_date": "2020-09-22T11:00:00-04:00",
            "title": "Arctic Greening Driven by Warmer Temperatures",
            "description": "Data from NASA/USGS Landsat satellites show that during 1985-2016, vegetation in the arctic tundra showed a 38% increase in greenness – representing plants growing more, becoming denser, and/or shrubs encroaching on typical tundra grasses and moss.Complete transcript available.Music:  The Rework, by Josslin Bordat [SACEM], published by Koka Media [SACEM], available from Universal Production Music || 13723_ArcticGreening-468.jpg (1421x800) [140.8 KB] || 13723_ArcticGreening-468_searchweb.png (320x180) [87.7 KB] || 13723_ArcticGreening-468_thm.png (80x40) [11.2 KB] || 13723_ArcticGreening-v2.mp4 (1920x1080) [110.1 MB] || 13723_ArcticGreening-v2-twitter.mp4 (1920x1080) [34.0 MB] || 13723_ArcticGreening-v2.webm (1920x1080) [12.0 MB] || 13723_ArcticGreening-v2.en_US.srt [2.0 KB] || 13723_ArcticGreening-v2.en_US.vtt [2.0 KB] || ",
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        },
        {
            "id": 4800,
            "url": "https://svs.gsfc.nasa.gov/4800/",
            "result_type": "Visualization",
            "release_date": "2020-03-19T14:00:00-04:00",
            "title": "JPSS Green Vegetation Fraction (GVF)",
            "description": "The visualization depicts Green Vegetation Fraction (GVF) based on data collected by the VIIRS instrument aboard the NOAA-20 satellite. || gvf_18.0550_print.jpg (1024x576) [90.7 KB] || gvf_18.0550_searchweb.png (320x180) [56.2 KB] || gvf_18.0550_thm.png (80x40) [6.0 KB] || jpss_gvf_02_1080p30.mp4 (1920x1080) [22.7 MB] || jpss_gvf_02_1080p30.webm (1920x1080) [5.3 MB] || jpss_gvf_02_2160p30.mp4 (3840x2160) [72.9 MB] || JPSS_Greening_02 (3840x2160) [0 Item(s)] || jpss_gvf_02_1080p30.mp4.hwshow [185 bytes] || ",
            "hits": 207
        },
        {
            "id": 13053,
            "url": "https://svs.gsfc.nasa.gov/13053/",
            "result_type": "Produced Video",
            "release_date": "2018-09-12T12:00:00-04:00",
            "title": "GLOBE Adopt a Pixel",
            "description": "Music Provided by Killer Tracks\"Feet on the Ground\" by Elliot Nash [PRS] and Jackson Buckley [PRS].Stock Video provided by Pond5 and Artbeats. || Screen_Shot_2018-09-11_at_4.42.53_PM_print.jpg (1024x574) [126.6 KB] || Screen_Shot_2018-09-11_at_4.42.53_PM.png (3824x2144) [8.5 MB] || Screen_Shot_2018-09-11_at_4.42.53_PM_searchweb.png (320x180) [94.1 KB] || Screen_Shot_2018-09-11_at_4.42.53_PM_thm.png (80x40) [7.4 KB] || GLOBE_Final.mov (1920x1080) [760.0 MB] || GLOBE_Final.mp4 (1920x1080) [59.7 MB] || GLOBE_Final.webm (1920x1080) [6.2 MB] || GLOBE_Final.en_US.srt [1003 bytes] || GLOBE_Final.en_US.vtt [1015 bytes] || ",
            "hits": 14
        },
        {
            "id": 4590,
            "url": "https://svs.gsfc.nasa.gov/4590/",
            "result_type": "Visualization",
            "release_date": "2017-10-27T00:00:00-04:00",
            "title": "Southern Africa Drought",
            "description": "When a giant swell of warm water, known as El Niño emerged in the Pacific Ocean in 2015, scientists knew to look for impacts.  As El Niño changed global weather patterns Southern Africa went into severe drought. On top of already dry conditions, the region experienced its lowest rainfall in 35 years.With the Soil Moisture Active Passive (SMAP) mission, launched in 2015, NASA has dedicated soil moisture measurements for the first time – and could see this severe drought emerging.  SMAP's highly sensitive microwave radiometer detects the energy emitted by soil depending on how wet or how dry it is.  The old gardener's trick is to squeeze a handful of dirt in your hand and see whether it clumps or falls apart. Think of SMAP doing the same thing – with a lot more precision, all around the world, every 3 days.SMAP allowed us to see a connection between Pacific Ocean water temperatures and the moisture of the soil in Southern Africa. These measurements are now being put to operational use more than ever. SMAP's data was fed into the USDA's global crop yield forecasts – the Foreign Agriculture Service reports that help drive multi-billion dollar commodity markets around the world. In fact, the Foreign Ag Service scientist for this region said that with SMAP they now have the first reliable soil moisture data in 30 years.As crops failed and soils were left bare, we used the Terra and Aqua satellites to assess these effects on the vegetation from a local to regional scale.  The Normalized Differential Vegetation Index (NDVI) reflects the health of vegetation on the land surface.As this drought spread across Southern Africa, nearly 30 million people were at risk of drastic food shortages. Four out of 10 people did not have access to clean drinking water.The analyses and data provided by NASA scientists are also critical to a USAID program called the Famine Early Warning Systems Network. As food crises arise, the global view provided by NASA scientists informs decisions about where governments and relief agencies should send help.In Southern Africa in 2015 and 2016, nearly 350 million dollars of emergency water and food aid were delivered, in part based on NASA data, to aid millions of people.As the peak of the drought hits in January 2016, the animations show the low soil moisture conditions in Zambia, Zimbabwe, and Botswana. Correspondingly the low vegetation appears in that region as well. || ",
            "hits": 42
        },
        {
            "id": 3625,
            "url": "https://svs.gsfc.nasa.gov/3625/",
            "result_type": "Visualization",
            "release_date": "2009-08-26T00:00:00-04:00",
            "title": "Honey Bees Weigh In on Climate",
            "description": "This animation illustrates the relationship between the annual vegetation cycle and seasonal variations in the weights of honey bee hives. The weight of a hive increases in the spring as bees bring back nectar from flowering plants. The change in hive weight over time can be compared with satellite measurements of vegetation. Tracking a large number of hives this way can reveal the effects of changing climate and land use on the interaction of plants and pollinators. Data from this hive in Highland, Maryland and others suggests that for some locations in the U.S., spring is arriving earlier by as much as half a day per year, probably due to a combination of climate and the warming effect of urbanization.This animation has been incorporated into the video \"Feeling the Sting of Climate Change,\" which provides more background and introduces HoneyBeeNet, a central repository for hive weight data from across the U.S. || ",
            "hits": 78
        }
    ]
}