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        {
            "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. || ",
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        {
            "id": 12702,
            "url": "https://svs.gsfc.nasa.gov/12702/",
            "result_type": "Produced Video",
            "release_date": "2017-10-16T12:00:00-04:00",
            "title": "Slicing Through Hurricane Matthew",
            "description": "Explore how scientists use different data sets to study impacts of 2016's Hurricane Matthew. || 00STORYCOVER.jpg (1024x576) [189.6 KB] || 00STORYCOVER_searchweb.png (320x180) [124.6 KB] || 00STORYCOVER_thm.png (80x40) [8.2 KB] || ",
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        {
            "id": 4587,
            "url": "https://svs.gsfc.nasa.gov/4587/",
            "result_type": "Visualization",
            "release_date": "2017-10-05T00:00:00-04:00",
            "title": "The Brown Ocean Effect",
            "description": "Before Tropical Storm Bill made landfall over Texas, eastern Texas experienced several days of rain that began flooding areas to the south east and northern parts of the state. As Tropical Storm Bill moved northward through Texas it is hypothesized that it fed off the highly saturated ground (as if it were still over the ocean) and can be seen slightly intensifying (via winds) as it moved into Oklahoma and progressed to the northeast. || brown_ocean_v3.1016_print.jpg (1024x576) [267.9 KB] || brown_ocean_v3.1016_searchweb.png (320x180) [127.0 KB] || brown_ocean_v3.1016_thm.png (80x40) [7.8 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || brown_ocean_v3.webm (1920x1080) [17.0 MB] || brown_ocean_v3.mp4 (1920x1080) [245.0 MB] || brown_ocean_v3.mp4.hwshow [180 bytes] || ",
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        {
            "id": 4575,
            "url": "https://svs.gsfc.nasa.gov/4575/",
            "result_type": "Visualization",
            "release_date": "2017-07-31T00:00:00-04:00",
            "title": "NASA Studies Hurricane Matthew",
            "description": "This data visualization follows Hurricane Matthew throughout its destructive run in the Caribbean and Southeast U.S. coast. By utilizing different data sets from NOAA's GOES satellite, NASA/JAXA's GPM, MERRA-2 model runs, IMERG, Goddard's soil moisture product, and sea surface temperatures, scientists are able to put together a clearer picture of how this hurricane quickly intensified and eventually weakened. || matthew_narrated_v106.5800_print.jpg (1024x576) [189.6 KB] || matthew_narrated_v106.5800_searchweb.png (320x180) [114.8 KB] || matthew_narrated_v106.5800_thm.png (80x40) [7.8 KB] || matthew (1920x1080) [0 Item(s)] || matthew_narrated_v106.webm (1920x1080) [22.0 MB] || matthew_narrated_v106.mp4 (1920x1080) [140.5 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || matthew_narrated_v106_4k.mp4 (3840x2160) [443.1 MB] || matthew_narrated_nosound.hwshow || ",
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        },
        {
            "id": 4543,
            "url": "https://svs.gsfc.nasa.gov/4543/",
            "result_type": "Visualization",
            "release_date": "2017-01-23T00:00:00-05:00",
            "title": "Monitoring Hurricane Matthew",
            "description": "This example visualization shows how all of the below data visualizations could be arranged on NASA's 3x3 hyperwall display. || MatthewHyperwall9.01110_print.jpg (1024x576) [227.7 KB] || MatthewHyperwall9.01110_searchweb.png (320x180) [116.5 KB] || MatthewHyperwall9.01110_thm.png (80x40) [8.0 KB] || MatthewHyperwall9.mp4 (1920x1080) [61.9 MB] || MatthewHyperwall9.webm (1920x1080) [4.8 MB] || MatthewHyperwall9_4543.key [64.9 MB] || MatthewHyperwall9_4543.pptx [64.4 MB] || MatthewHyperwall9.mp4.hwshow [206 bytes] || ",
            "hits": 29
        },
        {
            "id": 4443,
            "url": "https://svs.gsfc.nasa.gov/4443/",
            "result_type": "Visualization",
            "release_date": "2016-03-30T00:00:00-04:00",
            "title": "NASA-USDA-FAS Soil Moisture / IMERG",
            "description": "Soil Moisture / Precipitation in Australia, Absolute || australia_abs.0001_print.jpg (1024x576) [100.7 KB] || australia_abs.0001_searchweb.png (320x180) [64.4 KB] || australia_abs.0001_thm.png (80x40) [5.8 KB] || australia_abs (1920x1080) [0 Item(s)] || australia_abs_1080p30.webm (1920x1080) [14.4 MB] || australia_abs_1080p30.mp4 (1920x1080) [117.6 MB] || ",
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        }
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}