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    "results": [
        {
            "id": 4735,
            "url": "https://svs.gsfc.nasa.gov/4735/",
            "result_type": "Visualization",
            "release_date": "2019-07-29T18:30:00-04:00",
            "title": "NASA Surveys Hurricane Damage to Puerto Rico's Forests (Data Viz Version)",
            "description": "Hurricane Maria transformed the lush rainforests of Puerto Rico leaving lots of openings in the forest canopy. NASA scientists studied the island's forests before and after the storm. Goddard's Lidar, Hyperspectral, and Thermal Imager (G-LiHT) is a portable instrument that maps forest health and structure from a small airplane resulting in detailed 3-D views of the forest. G-LiHT sends out 600,000 laser pulses every second mapping leaves and branches, rocks and streams. Almost 60% of the canopy trees lost branches, snapped in half, or were uprooted. Trees with wide, spreading crowns were reduced to a slender main trunk. Forests in Puerto Rico are now one-third shorter on average, after Hurricane Maria. The disturbances affected the whole ecosystem, from soils and streams to birds and frogs. G-LiHT data will help scientists understand how forests and wildlife respond to future changes. || SIGGRAPH_lidar_over_Puerto_Rico.01000_print.jpg (1024x576) [90.3 KB] || SIGGRAPH_lidar_over_Puerto_Rico.01000_searchweb.png (320x180) [89.6 KB] || SIGGRAPH_lidar_over_Puerto_Rico.01000_thm.png (80x40) [7.1 KB] || SIGGRAPH_PuertoRicoLidar.webm (1920x1080) [19.9 MB] || SIGGRAPH_lidar_over_Puerto_Rico.webm (1920x1080) [21.4 MB] || SIGGRAPH_PuertoRicoLidar.mp4 (1920x1080) [253.0 MB] || ",
            "hits": 49
        },
        {
            "id": 4621,
            "url": "https://svs.gsfc.nasa.gov/4621/",
            "result_type": "Visualization",
            "release_date": "2018-12-10T12:01:00-05:00",
            "title": "El Yunque National Forest, Puerto Rico Canopy Change Nadir View (2017-2018)",
            "description": "Animation that does of a low fly over of El Yunque National Forest, Puerto Rico. The entire animation is split screen showing the 2017 data on top and 2018 on bottom. Notice the dense lush forest canopy in 2017 and how it covers and shades much of the forest floor. However, in 2018, after Maria devastated the forest in late 2017, the tree canopy has been greatly thinned exposing much more of the forest floor. || evzoom_comp4.0300_print.jpg (1024x576) [316.8 KB] || evzoom_comp4.0300_searchweb.png (320x180) [121.7 KB] || evzoom_comp4.0300_thm.png (80x40) [7.3 KB] || Sample_Composite (1920x1080) [0 Item(s)] || evzoom_comp4_1080p30.webm (1920x1080) [15.4 MB] || evzoom_comp4_1080p30.mp4 (1920x1080) [199.0 MB] || evzoom_comp4_1080p30.mp4.hwshow [186 bytes] || ",
            "hits": 38
        },
        {
            "id": 4624,
            "url": "https://svs.gsfc.nasa.gov/4624/",
            "result_type": "Visualization",
            "release_date": "2018-12-10T12:00:00-05:00",
            "title": "El Yunque National Forest, Puerto Rico Canopy Change from Afar (2017-2018)",
            "description": "Sample Composite that split screens the lidar swath over the El Yunque National Forest, Puerto Rico. During the split screen, 2017 data is on the upper left and 2018 data on the bottom right. As the camera moves northwest, the viewer can see patches of ground becoming visible in the 2018 data. This is due to the vast numbers of trees that were stripped or fell during Hurricane Maria in September 2017. || el_verde_comp.0190_print.jpg (1024x576) [368.1 KB] || el_verde_comp.0800.png (1920x1080) [3.0 MB] || el_verde_comp.0190_searchweb.png (320x180) [115.9 KB] || el_verde_comp.0190_thm.png (80x40) [6.0 KB] || Sample_Composite (1920x1080) [0 Item(s)] || el_verde_comp_1080p30.webm (1920x1080) [11.9 MB] || el_verde_comp.0800.tif (1920x1080) [5.9 MB] || el_verde_comp_1080p30.mp4 (1920x1080) [247.1 MB] || el_verde_comp_1080p30.mp4.hwshow [187 bytes] || ",
            "hits": 55
        },
        {
            "id": 12616,
            "url": "https://svs.gsfc.nasa.gov/12616/",
            "result_type": "Produced Video",
            "release_date": "2018-12-10T09:30:00-05:00",
            "title": "Black Marble View of Puerto Rico After Hurricane Maria",
            "description": "Scientist Miguel Román and colleagues combined NASA's Black Marble night lights data product from the NASA/NOAA Suomi National Polar-orbiting Partnership with data from USGS-NASA Landsat satellites and other sources to produce a neighborhood-scale map of energy use in communities across Puerto Rico as electricity was restored after Hurricane Maria in 2017.Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 12616_BlackMarblePR_Thumbnail_print.jpg (1024x576) [148.9 KB] || 12616_BlackMarblePR_Thumbnail.png (3840x2160) [10.1 MB] || 12616_BlackMarblePR_Thumbnail_searchweb.png (320x180) [107.2 KB] || 12616_BlackMarblePR_Thumbnail_thm.png (80x40) [7.6 KB] || 12616_BlackMarblePR_FINAL_twitter_720.mp4 (1280x720) [31.6 MB] || 12616_BlackMarblePR_FINAL.webm (960x540) [38.8 MB] || 12616_BlackMarblePR_FINAL_youtube_720.mp4 (1280x720) [162.0 MB] || 12616_BlackMarblePR_FINAL_youtube_1080.mp4 (1920x1080) [191.2 MB] || 12616_BlackMarblePR_FINAL_Captions.en_US.srt [2.1 KB] || 12616_BlackMarblePR_FINAL.mp4 (3840x2160) [160.5 MB] || 12616_BlackMarblePR_FINAL_prores_720.mov (1280x720) [1.1 GB] || 12616_BlackMarblePR_FINAL_youtube_4k.mp4 (3840x2160) [524.0 MB] || 12616_BlackMarblePR_FINAL_prores_4K.mov (4096x2160) [8.2 GB] || ",
            "hits": 70
        },
        {
            "id": 4576,
            "url": "https://svs.gsfc.nasa.gov/4576/",
            "result_type": "Visualization",
            "release_date": "2018-12-10T00:00:00-05:00",
            "title": "El Yunque National Forest, Puerto Rico Canopy Change Up Close (2017-2018)",
            "description": "Sample composite that shows a split screen of 2017 and 2018 lidar data over El Yunque National Forest, Puerto Rico. As the animation plays, one can see a distinct difference between the fullness of the 2017 forest canopy versus the much sparser 2018 canopy. This difference is most noticable around rivers and streams where the neighboring forest canopy was stripped away by Hurricane Maria exposing much more of the water banks. || el_verde_zoom_comp2.2800_print.jpg (1024x576) [305.6 KB] || Sample_Composite (1920x1080) [0 Item(s)] || el_verde_zoom_comp2_1080p30_2.webm (1920x1080) [21.8 MB] || el_verde_zoom_comp2_1080p30_2.mp4 (1920x1080) [338.7 MB] || el_verde_zoom_comp2_1080p30_2.mp4.hwshow [195 bytes] || ",
            "hits": 25
        },
        {
            "id": 13079,
            "url": "https://svs.gsfc.nasa.gov/13079/",
            "result_type": "Produced Video",
            "release_date": "2018-10-04T09:00:00-04:00",
            "title": "Inside Hurricane Maria in 360°",
            "description": "Two days before Hurricane Maria devastated Puerto Rico, the NASA-Japan Global Precipitation Measurement Core Observatory satellite captured a 3-D view of the storm. At the time Maria was a Category 1 hurricane. The 3-D view reveals the processes inside the hurricane that would fuel the storm’s intensification to a category 5 within 24 hours.For the first time in 360-degrees, this data visualization takes you inside the hurricane. The precipitation satellite has an advanced radar that measures both liquid and frozen water. The brightly colored dots show areas of rainfall, where green and yellow show low rates and red and purple show high rates. At the top of the hurricane, where temperatures are colder, blue and purple dots show light and heavy frozen precipitation. The colored areas below the dots show how much rain is falling at the surface. Created by: NASA's Scientific Visualization Studio and NASA's Goddard Space Flight CenterData Sources:• NASA/GPM Dual Precipitation Radar (DPR) precipitation rate and drop size distribution data• NASA/GPM GPM Microwave Imager (GMI) ground precipitation data• NASA/Bluemarble land imagery• NOAA/GOES16 cloud data• Hipparcos/Telescope/Tycho 2 Catalogue || ",
            "hits": 94
        },
        {
            "id": 13064,
            "url": "https://svs.gsfc.nasa.gov/13064/",
            "result_type": "Produced Video",
            "release_date": "2018-09-27T16:00:00-04:00",
            "title": "Científicos Hispanos de la NASA: Miguel Román",
            "description": "Miguel O. Román es un científico del Sistema de Información Terrestre del Centro de Vuelo Espacial Goddard de la NASA. Nacido y criado en la isla de Puerto Rico, Román cursó estudios en ciencias y matemáticas.En el 2003, Miguel llegó como becario al centro Goddard, siendo éste el comienzo de su exitosa carrera. Conoce la historia de este puertorriqueño y adéntrate en su trayectoria educativa y profesional, que le hacen merecedor de ser llamado un científico hispano destacado. || ",
            "hits": 31
        },
        {
            "id": 30908,
            "url": "https://svs.gsfc.nasa.gov/30908/",
            "result_type": "Hyperwall Visual",
            "release_date": "2017-10-10T00:00:00-04:00",
            "title": "Pinpointing Where the Lights Went Out in Puerto Rico",
            "description": "Night lights across Puerto Rico before and after Hurricane Maria, 2017 || maria_pr_1080p.00001_print.jpg (1024x576) [55.4 KB] || maria_pr_1080p.00001_searchweb.png (180x320) [32.7 KB] || maria_pr_1080p.00001_thm.png (80x40) [3.3 KB] || maria_pr_1080p.mp4 (1920x1080) [1.8 MB] || maria_pr_720p.mp4 (1280x720) [961.0 KB] || maria_pr_1080p.webm (1920x1080) [3.4 MB] || maria_pr_2304p.mp4 (4096x2304) [5.0 MB] || maria_pr (4104x2304) [64.0 KB] || ",
            "hits": 71
        },
        {
            "id": 934,
            "url": "https://svs.gsfc.nasa.gov/934/",
            "result_type": "Visualization",
            "release_date": "1999-04-09T12:00:00-04:00",
            "title": "Northwest Corner of Puerto Rico Showing Shallow Waters and Coral Reefs",
            "description": "This scene shows the southwestern corner of the island of Puerto Rico as seen by the three Landsat Thematic Mapper (TM) visible light sensors. The detectors have a limited ability to see through shallow water, detecting the coral reefs and shallow sand areas around the edge of the island. || ",
            "hits": 40
        }
    ]
}