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        {
            "id": 4782,
            "url": "https://svs.gsfc.nasa.gov/4782/",
            "result_type": "Visualization",
            "release_date": "2020-03-04T00:00:00-05:00",
            "title": "Vegetation Index Anomalies and Rift Valley fever (RVF) outbreaks in South Africa region: 2008-2011",
            "description": "This visualization with corresponding data dashboard shows the relationship between vegetation index anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal vegetaion over land (green) and RVF outbreak locations (orange pins). || NDVI_RVF_SAfrica_Composite_3840x2160_2657_print.jpg (1024x576) [102.7 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_searchweb.png (320x180) [57.8 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_thm.png (80x40) [5.0 KB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [35.6 MB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.webm (1920x1080) [7.1 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || NDVI_RVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [72.6 MB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657.tif (3840x2160) [31.6 MB] || ",
            "hits": 53
        },
        {
            "id": 4783,
            "url": "https://svs.gsfc.nasa.gov/4783/",
            "result_type": "Visualization",
            "release_date": "2020-02-27T00:00:00-05:00",
            "title": "Precipitation Anomaly and Rift Valley fever (RVF) outbreaks in South Africa: 2008-2011",
            "description": "This visualization with corresponding data dashboard shows the relationship between precipitation anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal precipitation over land (blue) and RVF outbreak locations (orange pins). || PrecipRVF_SAfrica_Composite_3840x2160_3422_print.jpg (1024x576) [97.8 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_searchweb.png (320x180) [57.6 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_thm.png (80x40) [5.2 KB] || PrecipRVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [31.5 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || PrecipRVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [68.2 MB] || PrecipRVF_SAfrica_Composite_3840x2160_3422.tif (3840x2160) [4.0 MB] || PrecipRVF_SAfrica_Composite_3840x2160_p30.webm (3840x2160) [14.1 MB] || ",
            "hits": 59
        },
        {
            "id": 4724,
            "url": "https://svs.gsfc.nasa.gov/4724/",
            "result_type": "Visualization",
            "release_date": "2020-02-21T00:00:00-05:00",
            "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in Africa and Middle East during 2000-2018",
            "description": "Data visualization featuring vegetation index anomalies over Africa and Middle East and locations of Rift Valley Fever (RVF) outbreaks (orange pins) during the period of 2000-2018. Frames are provided in 4K resolution. || Africa_NDVIRVF_2000_2018_3840x2160_2430_print.jpg (1024x576) [78.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_searchweb.png (320x180) [48.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_thm.png (80x40) [4.4 KB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.mp4 (1920x1080) [88.7 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.webm (1920x1080) [25.5 MB] || Africa_NDVIRVF_2000_2018_Composite (3840x2160) [0 Item(s)] || Africa_NDVIRVF_2000_2018_3840x2160_2430.tif (3840x2160) [6.0 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_p30.mp4 (3840x2160) [283.2 MB] || ",
            "hits": 35
        },
        {
            "id": 4747,
            "url": "https://svs.gsfc.nasa.gov/4747/",
            "result_type": "Visualization",
            "release_date": "2020-02-21T00:00:00-05:00",
            "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in South Africa during 2009-2011",
            "description": "This visualization shows the relationship between vegetation index anomalies (Normalized Difference Vegetation Index - NDVI) data and outbreak locations of Rift Valley fever (RVf) during 2008 and 2011. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa slowly to take a closer look at the above normal vegetation (green) and RVF outbreak locations (orange pins). Frames are provided in 4K resolution. || SAfrica_NDVIRVFwDates_3840x2160_1263_print.jpg (1024x576) [86.2 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_searchweb.png (320x180) [56.0 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_thm.png (80x40) [4.5 KB] || SAfrica_NDVIRVFComposite_1080p30.mp4 (1920x1080) [31.6 MB] || SAfrica_NDVIRVFComposite_1080p30.webm (1920x1080) [7.0 MB] || Composite (3840x2160) [0 Item(s)] || SAfrica_NDVIRVFwDates_3840x2160_1263.tif (3840x2160) [7.6 MB] || SAfrica_NDVIRVFComposite_3840x2160_p30.mp4 (3840x2160) [96.4 MB] || ",
            "hits": 40
        },
        {
            "id": 4784,
            "url": "https://svs.gsfc.nasa.gov/4784/",
            "result_type": "Visualization",
            "release_date": "2020-02-21T00:00:00-05:00",
            "title": "ENSO Teleconnections and Rift Valley fever (RVF) Outbreaks",
            "description": "During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Index Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in  South Africa. || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_2960_print.jpg (1024x576) [107.8 KB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_searchweb.png (320x180) [63.0 KB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_thm.png (80x40) [6.5 KB] || ENSO_Teleconnections (1920x1080) [0 Item(s)] || SST_Precip_NDVI_Dashboard_2008_2011_1920x1080_p30.mp4 (1920x1080) [22.7 MB] || ENSO_Teleconnections (3840x2160) [0 Item(s)] || ENSO_Teleconnections (3840x2160) [0 Item(s)] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_p30.mp4 (3840x2160) [56.0 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_p30.webm (3840x2160) [10.2 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_2960.tif (3840x2160) [3.4 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525.tif (3840x2160) [3.4 MB] || ",
            "hits": 58
        },
        {
            "id": 4785,
            "url": "https://svs.gsfc.nasa.gov/4785/",
            "result_type": "Visualization",
            "release_date": "2020-01-09T00:00:00-05:00",
            "title": "Sea Surface Temperature Anomalies and Patterns of Global Disease Outbreaks: 2009-2018 (4K version)",
            "description": "This webpage provides the 4K version of: Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (updated), released on January 6, 2020.Content has been created for 4K display systems that can handle finer resolution and details. It is recommended to use content from this version  for HD (1920x1080) and lower resolutions. || ",
            "hits": 114
        },
        {
            "id": 4781,
            "url": "https://svs.gsfc.nasa.gov/4781/",
            "result_type": "Visualization",
            "release_date": "2020-01-06T00:00:00-05:00",
            "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (updated)",
            "description": "This visualization shows the variability in global sea surface temperature anomalies, the associated ENSO index timeline and locations of infectious disease outbreaks over the global land surface. || CompositeWLabel_2009_2018_1920x108060fps_1705_print.jpg (1024x576) [135.9 KB] || CompositeWLabel_2009_2018_1920x108060fps_1705_searchweb.png (320x180) [82.6 KB] || CompositeWLabel_2009_2018_1920x108060fps_1705_thm.png (80x40) [7.1 KB] || Composite_StrongElNino (1920x1080) [0 Item(s)] || Composite_StrongElNino (1920x1080) [0 Item(s)] || CompositeWLabel_2009_2018_1920x1080_p30.mp4 (1920x1080) [22.1 MB] || CompositeWLabel_2009_2018_1920x108060fps_1705.tif (1920x1080) [1.3 MB] || CompositeWLabel_2009_2018_1920x1080_p30.webm (1920x1080) [4.6 MB] || CompositeWLabel_2009_2018_1920x1080_p30.mp4.hwshow [205 bytes] || ",
            "hits": 94
        },
        {
            "id": 4765,
            "url": "https://svs.gsfc.nasa.gov/4765/",
            "result_type": "Visualization",
            "release_date": "2019-12-10T00:00:00-05:00",
            "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018",
            "description": "El Niño is an irregularly recurring climate pattern characterized by warmer than usual ocean temperatures in the equatorial Pacific, which creates a ripple effect of anticipated weather changes in far-spread regions. This visualization captures monthly Sea Surface Temperature (SST) anomalies around the world from 2009-2018, along with locations of global disease outbreaks and a corresponding timeline showcasing the Niño 3.4 Index. The Niño 3.4 Index represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the above average El Niño years, in which sea surface temperature anomalies peaked during 2015-2016. || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_print.jpg (1024x576) [130.6 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_searchweb.png (320x180) [79.7 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_thm.png (80x40) [7.0 KB] || Composite (1920x1080) [0 Item(s)] || Composite (1920x1080) [0 Item(s)] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4 (1920x1080) [23.0 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769.tif (1920x1080) [1.3 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.webm (1920x1080) [4.7 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4.hwshow [211 bytes] || ",
            "hits": 105
        },
        {
            "id": 4695,
            "url": "https://svs.gsfc.nasa.gov/4695/",
            "result_type": "Visualization",
            "release_date": "2019-02-28T09:00:00-05:00",
            "title": "Niño 3.4 Index and Sea Surface Temperature Anomaly Timeline: 1982-2017",
            "description": "This visualization captures Sea Surface Temperature (SST) anomalies around the world from 1982 to 2017, along with a corresponding timeplot graph focusing on the Niño 3.4 SST Index region (5N-5S, 120W-170W), which represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the El Niño years, in which sea surface temperature anomalies peaked: 1982-1983, 1997-1998, and 2015-2016. || NINO3.4SST_FlatMapComposite_1920x1080_00932_print.jpg (1024x576) [104.9 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_searchweb.png (320x180) [72.1 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_thm.png (80x40) [6.8 KB] || SST_Nino3.4Index_1982_2017_Composite (1920x1080) [0 Item(s)] || NINO3.4SST_FlatMapComposite_1920x1080_p30.mp4 (1920x1080) [57.2 MB] || NINO3.4SST_FlatMapComposite_1920x1080_00932.tif (1920x1080) [1.4 MB] || NINO3.4SST_FlatMapComposite_1920x1080_p30.webm (1920x1080) [9.3 MB] || SSTNino3.4Index_1982_2017_Composite (3840x2160) [0 Item(s)] || ",
            "hits": 341
        },
        {
            "id": 4697,
            "url": "https://svs.gsfc.nasa.gov/4697/",
            "result_type": "Visualization",
            "release_date": "2019-02-28T09:00:00-05:00",
            "title": "ENSO teleconnections in South East Asia for the period of 2015-2016",
            "description": "The 2015-2016 strong El Niño event brought changes to weather conditions across the globe that triggered regional infectious disease outbreaks, including mosquito-borne dengue fever in South East Asia. This visualization with corresponding multi-plot graph shows how Sea Surface Temperature anomalies in the equatorial Pacific Ocean (left), resulted in anomalous drought conditions (center) and increase in land surface temperatures (right) in South East Asia.  During the 2015-2016 El Niño event, the South East Asia region received below than normal precipitation resulting in drier and warner than normal conditions, which increased the populations of mosquito vectors in urban areas, where there are open water storage containers providing ideal habitats for mosquito production. In addition, the higher than normal temperature on land shortens the maturation time of larvae to adult mosquitos and induces frequent blood feeding/biting of humans by mosquito vectors resulting in the amplification of dengue disease outbreaks over the South East Asia region. || SST_LST_Precip_2014_2016_Comp_print.jpg (1024x576) [82.9 KB] || SST_LST_Precip_2014_2016_Comp_searchweb.png (320x180) [51.5 KB] || SST_LST_Precip_2014_2016_Comp_thm.png (80x40) [6.0 KB] || SST_Precip_LST_Plot_Composite (1920x1080) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4 (1920x1080) [9.7 MB] || SST_LST_Precip_2014_2016_Comp.tif (1920x1080) [1.1 MB] || SST_LST_Precip_2014_2016_Comp_1080p30.webm (1920x1080) [4.2 MB] || TeleconnectionsSEAsia (3840x2160) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4.hwshow [203 bytes] || ",
            "hits": 89
        },
        {
            "id": 30916,
            "url": "https://svs.gsfc.nasa.gov/30916/",
            "result_type": "Hyperwall Visual",
            "release_date": "2017-12-01T00:00:00-05:00",
            "title": "Intraseasonal Variability in Earth’s Atmosphere and Ocean: The MISO and MJO",
            "description": "The Monsoon Intraseasonal Oscillation (MISO) is a process that occurs several times each year from May-October in the atmosphere over the tropical Indian Ocean, the western tropical Pacific Ocean, and the surrounding land areas. MISO events alternate between periods of wetter-than-average and drier-than-average conditions, a cycle that lasts longer than typical weather systems do (1-2 weeks), but shorter than a season (90 days). The way that the MISO affects rainfall and drought patterns is important to the economies and livelihoods of the people that live in South and Southeast Asia.This animation shows the behavior of the MISO based on the average of many MISO events that occurred over a multi-year time period. The MISO events were visible with NASA and NOAA satellite sensors that measure outgoing longwave radiation (OLR), which is closely related to convection and its associated rainfall, as well as surface winds. Green colors show regions of higher-than-average rainfall, while brown colors show regions of lower-than-average rainfall. The day and phase counters show the progression of consecutive days and phases (positions) in the average 48-day cycle of the MISO. || West_1_MISO_OLR_Wind.00001_print.jpg (1024x576) [106.1 KB] || West_1_MISO_OLR_Wind.00001_searchweb.png (320x180) [46.3 KB] || West_1_MISO_OLR_Wind.00001_thm.png (80x40) [4.4 KB] || West_1_MISO_OLR_Wind.mov (1280x720) [87.0 MB] || West_1_MISO_OLR_Wind.webm (1280x720) [2.1 MB] || West_1_MISO_OLR_Wind_1080.mov (1440x1080) [117.5 MB] || West_1_MISO_OLR_Wind_4k.mov (3840x2160) [568.6 MB] || ",
            "hits": 147
        },
        {
            "id": 3807,
            "url": "https://svs.gsfc.nasa.gov/3807/",
            "result_type": "Visualization",
            "release_date": "2011-08-31T00:00:00-04:00",
            "title": "Predicting Disease Outbreaks from Space",
            "description": "These visualizations were created for the May 18, 2012 Library of Congress Talk Predictiding Disease Outbreaks from Space. In this talk NASA scientist Assaf Anyamba, will present how using remote-sensing data we can see links among weather, diseases and famine.An early warning system more than a decade in development successfully predicted the 2006-2007 outbreak of the deadly Rift Valley Fever (RVF) in East Africa and subsequent outbreaks in Sudan (2007) and South Africa (2008-2011). RVF is a deadly hemorrhagic disease transmitted by mosquitoes that infects livestock and human populations episodically. An international team of research scientists, public-health professionals, agricultural specialists and military personnel had worked for a decade to successfully predict when and where an outbreak of RVF would occur. || ",
            "hits": 36
        },
        {
            "id": 328,
            "url": "https://svs.gsfc.nasa.gov/328/",
            "result_type": "Visualization",
            "release_date": "1998-10-20T12:00:00-04:00",
            "title": "Earth Today 1998 Countdown",
            "description": "The ability to see Earth from space has forever changed our view of the planet. We are now able to look at the Earth as a whole, and observe how its atmosphere, oceans, land masses, and life interact as global systems. Earth's atmosphere, hydrosphere, geosphere, and biosphere are dynamic, changing on timescales of days, minutes, or even seconds. Monitoring the Earth in near real time allows us to get an up to date picture of conditions on our planet. More SVS visualizations for the Earth Today exhibit are in animation ids 1401 and 1402. || ",
            "hits": 50
        },
        {
            "id": 1401,
            "url": "https://svs.gsfc.nasa.gov/1401/",
            "result_type": "Visualization",
            "release_date": "1998-10-20T12:00:00-04:00",
            "title": "Earth Today 1998 Introduction",
            "description": "The ability to see Earth from space has forever changed our view of the planet. We are now able to look at the Earth as a whole, and observe how its atmosphere, oceans, land masses, and life interact as global systems. Earth's atmosphere, hydrosphere, geosphere, and biosphere are dynamic, changing on timescales of days, minutes, or even seconds. Monitoring the Earth in near real time allows us to get an up to date picture of conditions on our planet. More SVS visualizations for the Earth Today exhibit can be found in animation ids 328 and 1402. || ",
            "hits": 52
        },
        {
            "id": 1402,
            "url": "https://svs.gsfc.nasa.gov/1402/",
            "result_type": "Visualization",
            "release_date": "1998-10-20T12:00:00-04:00",
            "title": "Earth Today 1998",
            "description": "The ability to see Earth from space has forever changed our view of the planet. We are now able to look at the Earth as a whole, and observe how its atmosphere, oceans, land masses, and life interact as global systems. Earth's atmosphere, hydrosphere, geosphere, and biosphere are dynamic, changing on timescales of days, minutes, or even seconds. Monitoring the Earth in near real time allows us to get an up to date picture of conditions on our planet. More SVS visualizations for the Earth Today exhibit can be found in animation ids 328 and 1401. || ",
            "hits": 59
        },
        {
            "id": 116,
            "url": "https://svs.gsfc.nasa.gov/116/",
            "result_type": "Visualization",
            "release_date": "1996-10-25T12:00:00-04:00",
            "title": "The HoloGlobe Project (Version 2)",
            "description": "This animation was produced for the Smithsonian Institution's HoloGlobe Exhibit which opened to the public on August 10, 1996. The various orthographic data sets showing progressive global change were mapped onto a rotating globe and projected into space to create a holographic image of the Earth. Showing Earthandapos;s atmosphere, hydrosphere, geosphere, and biosphere are dynamic, changing on timescales of days, minutes, or even seconds. This animation is a revised version of Animation #96 [The HoloGlobe Project (Version 1)]. || ",
            "hits": 87
        },
        {
            "id": 96,
            "url": "https://svs.gsfc.nasa.gov/96/",
            "result_type": "Visualization",
            "release_date": "1996-08-01T12:00:00-04:00",
            "title": "The HoloGlobe Project (Version 1)",
            "description": "This animation was originally produced for the Smithsonian Institution's HoloGlobe Exhibit which opened to the public on August 10, 1996 at the Museum of Natural History in Washington, DC.  These various data sets showing progressive global change were mapped onto a rotating globe and projected into space to create a holographic image of the Earth. Showing Earth's atmosphere, hydrosphere, geosphere, and biosphere are dynamic, changing on timescales of days, minutes, or even seconds. || ",
            "hits": 56
        },
        {
            "id": 155,
            "url": "https://svs.gsfc.nasa.gov/155/",
            "result_type": "Visualization",
            "release_date": "1996-08-01T12:00:00-04:00",
            "title": "The HoloGlobe Project (Version 3)",
            "description": "These animations were produced for the Smithsonian Institution's HoloGlobe Exhibit which opened to the public on August 10, 1996 at the Museum of Natural History in Washington, DC. The various data sets show progressive global change mapped onto a rotating globe and projected into space to create a holographic image of the Earth. The exhibit shows that Earth's atmosphere, hydrosphere, geosphere, and biosphere are dynamic, changing on timescales of days, minutes, or even seconds. The exhibit has since been relocated to the west coast. This is a revised version from Animation #116 [The HoloGlobe Project (version 2)]. || ",
            "hits": 85
        }
    ]
}