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        {
            "id": 14911,
            "url": "https://svs.gsfc.nasa.gov/14911/",
            "result_type": "Produced Video",
            "release_date": "2026-07-31T10:00:00-04:00",
            "title": "Webb’s Biggest Discoveries",
            "description": "Previously unseen details all throughout the universe, including right here in our own solar system have been revealed using NASA’s James Webb Space Telescope, and the results so far, are fascinating.  Webb has given scientists, and the world,  a powerful new set of tools to help better explain our place in the universe. And with its unprecedented power to detect and analyze otherwise invisible infrared light, objects that were once impossible to observe are now coming into clear view. For more information, visit https://nasa.gov/webbCredit:Producer: Paul MorrisWriter: Thaddeus CesariNarrator: Dr. Jane RigbyImages: NASA, ESA, CSA, STSciMusic Credit:\"Final Mission\" by Francis Lai [SACEM] via Les Editions 23 [SACEM], Musique Cinema Television [SACEM] and Universal Production Music || ",
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        {
            "id": 4690,
            "url": "https://svs.gsfc.nasa.gov/4690/",
            "result_type": "Visualization",
            "release_date": "2018-10-31T00:00:00-04:00",
            "title": "Tracking Snow Water Equivalent in the Tuolumne Basin",
            "description": "This visualization focuses on the Tuolumne Basin, located within the boundaries of Yosemite National Park, which supplies water via the Hetch Hetchy aqueduct to the San Francisco Bay Area.  Snow Water Equivalent (SWE) data collected by the Airborne Snow Observatory (ASO) between 2014 and 2017 is depicted in blues and whites, showing how the snowpack changes over time.  This version includes a colorbar. || aso_wColorbar_1500_print.jpg (1024x576) [175.2 KB] || aso_wColorbar_1500_searchweb.png (320x180) [127.9 KB] || aso_wColorbar_1500_thm.png (80x40) [8.0 KB] || aso_tuolumne_wColorbar (1920x1080) [0 Item(s)] || aso_wColorbar_1080p30.mp4 (1920x1080) [60.8 MB] || aso_wColorbar_1080p30.webm (1920x1080) [7.6 MB] || aso_wColorbar_1080p30.mp4.hwshow [187 bytes] || ",
            "hits": 110
        },
        {
            "id": 30379,
            "url": "https://svs.gsfc.nasa.gov/30379/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Monthly Leaf Area Index",
            "description": "Have you ever wondered how many leaves there are in a forest? Today, scientists use NASA satellites to map leaf area index—images processed to show how much of an area is covered by leaves. For example, a leaf area index of 1 means the area is entirely covered by one layer of leaves. These maps show monthly leaf area index from February 2000 to the present, produced using data collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA's Terra satellite. The colors in this palette range from tan, showing little or no leaf cover, to light green, indicating the area is entirely covered by one layer of leaves, to dark green showing thick forest canopies, where seven or more layers of leaves cover an area. Black means no data. Knowing the total area covered by leaves helps scientists monitor how much water, carbon, and energy the trees and plants are exchanging with the air above and the ground below. || ",
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        },
        {
            "id": 3764,
            "url": "https://svs.gsfc.nasa.gov/3764/",
            "result_type": "Visualization",
            "release_date": "2010-08-19T14:00:00-04:00",
            "title": "How Much Carbon do Plants Take from the Atmosphere?",
            "description": "Plant life converts atmospheric carbon dioxide into biomass through photosynthesis, a process called 'fixing'. This is one of the main ways in which carbon dioxide is removed from the atmosphere and is a major part of the carbon cycle. The amount of carbon removed is called the gross primary productivity (GPP), and the change in GPP due to rising global temperatures is very important factor in the response of the Earth to climate change.Data from the MODIS instrument on NASA's Terra satellite has been recently used to calculate the GPP for the whole world for the last 10 years. This animation shows a time sequence of GPP on land as measured by MODIS during the years 2000 through 2009. Two things to note are the year-long productivity of the tropical regions and the large seasonal productivity in the northern hemisphere. A close look at the animation also reveals major urban areas for which the productivity is negligible.For a look at why the decade from 2000 through 2009 meant lower productivity, see the page 'How has the Atmospheric Carbon Uptake from Plants Changed in the Last Decade?' || ",
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        },
        {
            "id": 3765,
            "url": "https://svs.gsfc.nasa.gov/3765/",
            "result_type": "Visualization",
            "release_date": "2010-08-19T14:00:00-04:00",
            "title": "How has the Atmospheric Carbon Uptake from Plants Changed in the Last Decade?",
            "description": "Plant life converts atmospheric carbon dioxide into biomass through photosynthesis. This process, called fixing, is one of the main ways in which carbon dioxide is removed from the atmosphere and is a major part of the carbon cycle. Plants release a fraction of this fixed carbon by respiration in order to get energy to live and to move carbon to other organs. The amount of carbon removed minus the amount of carbon respired is called the net primary productivity (NPP) and is the amount of carbon turned into biomass.The change in NPP due to rising global temperatures is a very important factor in the response of the Earth to climate change. Measurements of radiation and leaf area from the MODIS instrument on NASA's Terra satellite have recently been used to calculate the change in NPP for the whole world for the last 10 years. This animation shows a time sequence of annual NPP deviation from normal (or 'anomaly') on land as measured by MODIS during the years 2000 through 2009. Annual NPP, especially its departures from a long-term mean condition, will demonstrate the effects of environmental drivers such as ENSO (El Niño) events, climate change, droughts, pollution episodes, land degradation, and agricultural expansion.Earlier studies of productivity between 1982 and 1999 showed that prouctivity went up as global temperatures rose, because longer, warmer growing seasons were better for plant growth. This new study indicates that this is still true in the northern hemisphere, but that increased temperatures have meant increased drought and dryness in the tropics and the southern hemisphere. As a result, the global net productivity has actually decreased in the period from 2000 through 2009.Regionally, negative annual NPP anomalies were mainly caused by large-scale droughts. In 2000, droughts reduced NPP in North America and China; in 2002, droughts reduced NPP in North America and Australia; in 2003, drought caused by a major heat wave reduced NPP in Europe; in 2005, severe droughts in the Amazon, Africa, and Australia greatly reduced both regional and global NPP; from 2007 through 2009 over large parts of Australia, continuous droughts reduced continental NPP.For an animation of daily productivity, see the page How Much Carbon do Plants Take from the Atmosphere?. || ",
            "hits": 89
        },
        {
            "id": 2395,
            "url": "https://svs.gsfc.nasa.gov/2395/",
            "result_type": "Visualization",
            "release_date": "2002-03-05T12:00:00-05:00",
            "title": "Pulse of the Planet",
            "description": "Akin to a living creature, Earth's land, air, oceans, ice, and life fit together into a complex, interlocking system.  Space affords a unique vantage point from which to observe the daily, seasonal, and annual changes in Earth's systems. Using data from advanced satellites, NASA visualizations portray a majestic, and sometimes violent, natural world and also capture the influences humans have on the planet.Over 80 NASA-related earth science animations created over the past 8 years implementing realtime and non-realtime techniques have been used on this visual journey.  Tools used included IDL, Lightwave3D, Final Cut Pro, Performer, Vis5D, and custom software. || ",
            "hits": 177
        },
        {
            "id": 2315,
            "url": "https://svs.gsfc.nasa.gov/2315/",
            "result_type": "Visualization",
            "release_date": "2001-12-20T12:00:00-05:00",
            "title": "Leaf Area Index for Africa September, 2000, through May, 2001",
            "description": "MODIS' observations also allow scientists to track two 'vital signs' of Earth's vegetation. At Boston University, a team of researchers is using MODIS data to create global estimates of the green leaf area of Earth's vegetation and how much sunlight the leaves are absorbing. Called LAI, for 'Leaf Area Index,' and FPAR, for 'Fraction of absorbed Photosynthetically Active Radiation,' both pieces of information are necessary for understanding how sunlight interacts with the Earth's vegetated surfaces-from the top layer, called the canopy, through the understory vegetation, and down to the ground. || ",
            "hits": 24
        },
        {
            "id": 2316,
            "url": "https://svs.gsfc.nasa.gov/2316/",
            "result_type": "Visualization",
            "release_date": "2001-12-20T12:00:00-05:00",
            "title": "Fraction of Photosynthetically Active Radiation for Africa September, 2000, through May, 2001",
            "description": "MODIS' observations also allow scientists to track two 'vital signs' of Earth's vegetation. At Boston University, a team of researchers is using MODIS data to create global estimates of the green leaf area of Earth's vegetation and how much sunlight the leaves are absorbing. Called LAI, for 'Leaf Area Index,' and FPAR, for 'Fraction of absorbed Photosynthetically Active Radiation,' both pieces of information are necessary for understanding how sunlight interacts with the Earth's vegetated surfaces-from the top layer, called the canopy, through the understory vegetation, and down to the ground. || ",
            "hits": 12
        },
        {
            "id": 2318,
            "url": "https://svs.gsfc.nasa.gov/2318/",
            "result_type": "Visualization",
            "release_date": "2001-12-20T12:00:00-05:00",
            "title": "United States EVI from Summer 2000 to Spring 2001",
            "description": "Traditional satellite-based mapping of vegetation vigor and amount is based on the way vegetation interacts with red and infrared light. Occasionally, however, those two signals are not enough. MODIS measures light reflected from Earth at a variety of wavelengths, and the Arizona researchers incorporate the additional information into their Enhanced Vegetation Index (EVI). The EVI has increased sensitivity within very dense vegetation, and it has built-in corrections for several factors that can interfere with the satellite-based vegetation mapping, like smoke and background noise caused by light reflecting off soil. The bi-weekly and monthly vegetation index maps have wide usability by biologists, natural resources managers, and climate modelers. They can track naturally occurring fluctuations in vegetation, such as seasonal changes, as well as those that result from land use change, such as deforestation. The EVI can also monitor changes in vegetation resulting from climate change, such as expansion of deserts or extension of growing seasons. || ",
            "hits": 93
        },
        {
            "id": 120,
            "url": "https://svs.gsfc.nasa.gov/120/",
            "result_type": "Visualization",
            "release_date": "1996-01-01T12:00:00-05:00",
            "title": "VIS-5D VR Animations: Hurricane Florence",
            "description": "The VIS-5D scientific visualization system has been extended to include an interactive mode controlled by virtual environment devices.  This animation is part of a series of live screen captures demonstrating this capability. || ",
            "hits": 262
        },
        {
            "id": 1390,
            "url": "https://svs.gsfc.nasa.gov/1390/",
            "result_type": "Visualization",
            "release_date": "1996-01-01T12:00:00-05:00",
            "title": "VIS-5D VR Animations: Virtual Hand Functionality",
            "description": "The VIS-5D scientific visualization system has been extended to include an interactive mode controlled by virtual environment devices.  This animation is part of a series of live screen captures demonstrating this capability. || ",
            "hits": 17
        },
        {
            "id": 81,
            "url": "https://svs.gsfc.nasa.gov/81/",
            "result_type": "Visualization",
            "release_date": "1995-01-11T12:00:00-05:00",
            "title": "Hurricane Florence with Inset of VR Operator",
            "description": "An interactive exploration of a computational model of Hurricane Florence using an immersive environment controlled by a boom, with an inset of the boom operator. || a000081.00005_web.png (720x480) [481.0 KB] || a000081_pre.jpg (320x238) [11.7 KB] || a000081_thm.png (80x40) [6.5 KB] || a000081_pre_searchweb.jpg (320x180) [66.8 KB] || a000081.webmhd.webm (960x540) [26.6 MB] || a000081.dv (720x480) [402.9 MB] || a000081.mp4 (640x480) [22.6 MB] || a000081.mpg (352x240) [12.5 MB] || ",
            "hits": 148
        },
        {
            "id": 82,
            "url": "https://svs.gsfc.nasa.gov/82/",
            "result_type": "Visualization",
            "release_date": "1995-01-11T12:00:00-05:00",
            "title": "Hurricane Florence",
            "description": "An interactive exploration of a computational model of Hurricane Florence using an immersive environment controlled by a boom || a000082.00005_web.png (720x480) [414.0 KB] || a000082_thm.png (80x40) [6.1 KB] || a000082_pre.jpg (320x238) [10.5 KB] || a000082_pre_searchweb.jpg (320x180) [63.9 KB] || a000082.webmhd.webm (960x540) [25.8 MB] || a000082.dv (720x480) [382.5 MB] || a000082.mp4 (640x480) [21.8 MB] || a000082.mpg (352x240) [12.5 MB] || ",
            "hits": 145
        }
    ]
}