{ "count": 28, "next": null, "previous": null, "results": [ { "id": 5596, "url": "https://svs.gsfc.nasa.gov/5596/", "result_type": "Visualization", "release_date": "2026-01-27T17:00:00-05:00", "title": "Tracking Weather Extremes: December 2025 Pacific Northwest Flooding", "description": "Created with NASA's GEOS data, this visualization shows the December 2025 atmospheric river that brought extreme precipitation to the Pacific Northwest. The analysis displays total precipitable water from the Pacific Ocean and resulting precipitation across Washington, Oregon, British Columbia, and Montana. This Category 5 atmospheric river delivered up to 10 inches of rain and forced over 100,000 evacuations in Washington state.", "hits": 336 }, { "id": 5601, "url": "https://svs.gsfc.nasa.gov/5601/", "result_type": "Visualization", "release_date": "2026-01-02T12:27:00-05:00", "title": "Wyoming Red Canyon wildfire: 2025 Year in Review", "description": "Part of our 2025 Year in Review series examining major wildfire events, this analysis focuses on the August 2025 Red Canyon wildfire in Wyoming. Leveraging NASA's satellite data, advanced models, visualization capacity and computing power, we examine how weather conditions impacted this fire and how regional air quality affected surrounding communities.", "hits": 124 }, { "id": 5598, "url": "https://svs.gsfc.nasa.gov/5598/", "result_type": "Visualization", "release_date": "2025-12-31T11:26:00-05:00", "title": "Grand Canyon Dragon Bravo Megafire: 2025 Year in Review", "description": "Part of our 2025 Year in Review series examining major wildfire events, this analysis focuses on the July 2025 Dragon Bravo megafire at the North Rim of Grand Canyon National Park in Arizona. The analysis leverages NASA's satellite data, models, and computing power to reveal fire behavior and impacts. Five visualization assets show fire information, black carbon dispersal, air quality effects, weather conditions, and progression, demonstrating how technology helps understand wildfire dynamics.", "hits": 193 }, { "id": 5597, "url": "https://svs.gsfc.nasa.gov/5597/", "result_type": "Visualization", "release_date": "2025-12-30T17:18:00-05:00", "title": "Los Angeles Palisades and Eaton Wildfires: 2025 Year in Review", "description": "Part of our 2025 Year in Review series examining major wildfire events, this analysis of the January 2025 Los Angeles Palisades and Eaton wildfires leverages NASA's satellite data, models, and computing power to reveal fire behavior and impacts. Five visualization assets show fire information, black carbon dispersal, air quality effects, weather conditions, and progression, demonstrating how technology helps understand wildfire dynamics.", "hits": 547 }, { "id": 5595, "url": "https://svs.gsfc.nasa.gov/5595/", "result_type": "Visualization", "release_date": "2025-12-29T15:50:00-05:00", "title": "Tracking Weather Extremes: July 2025 Texas Precipitation and Guadalupe River Flooding", "description": "Created with NASA's GEOS-FP 2km replay data, this visualization shows extreme precipitation across Texas from June 30 - July 5, 2025. The Hunt City, marked on the visualization, experienced 6.5 inches of rain in three hours on July 4th, triggering catastrophic Guadalupe River flooding that reached record-breaking levels of 37.52 feet - the highest ever recorded at this location.", "hits": 182 }, { "id": 5594, "url": "https://svs.gsfc.nasa.gov/5594/", "result_type": "Visualization", "release_date": "2025-12-29T15:00:00-05:00", "title": "Los Angeles Palisades Wildfire, January 2025: Black Carbon, Weather, and Air Quality", "description": "NASA GEOS model visualization showing black carbon dispersal from the Palisades Fire overlaid with regional weather patterns and air quality indicators, January 2-14, 2025.", "hits": 408 }, { "id": 5593, "url": "https://svs.gsfc.nasa.gov/5593/", "result_type": "Visualization", "release_date": "2025-12-29T13:00:00-05:00", "title": "Tracking Weather Extremes: May 2025 Tornadoes and Flooding Across the Continental United States", "description": "Created with NASA's GEOS-FP 2km replay model, this visualization tracks May 2025's severe weather across the continental US. The visualization maps tornado paths and 24-hour precipitation data, revealing how tornadic activity and heavy rainfall combined to create compound disasters affecting communities from the Great Plains to the Southeast.", "hits": 222 }, { "id": 14872, "url": "https://svs.gsfc.nasa.gov/14872/", "result_type": "Produced Video", "release_date": "2025-08-01T00:00:00-04:00", "title": "NASA's Black Marble: Stories from the Night Sky", "description": "What can we learn from Earth’s nightlights? How does satellite data reveal powerful insights into our world after dark? From the steady glow of growing cities to the sudden darkness caused by natural disasters, nighttime imagery helps scientists track changes across the globe. From the quiet of rural towns to the bustle of urban streets, human activity shapes the planet’s nighttime presence. Wildfires, power outages, and recovery efforts, all visible through the shifting patterns of light. Commercial fishing fleets illuminate oceans, electricity use expands across regions, and cultural celebrations brighten the night sky. Not only does NASA’s Black Marble data help us understand life here on Earth, but it helps us understand space weather and its impacts to technology. It helps us understand auroras. It helps us understand our space environment. Nighttime satellite imagery and data is more than beautiful, it is a powerful tool for monitoring change, guiding aid, and uncovering unseen rhythms of life on our planet. || ", "hits": 196 }, { "id": 5315, "url": "https://svs.gsfc.nasa.gov/5315/", "result_type": "Visualization", "release_date": "2024-06-20T00:00:00-04:00", "title": "Daily Experimental Fire Weather Forecast", "description": "Summary", "hits": 0 }, { "id": 4834, "url": "https://svs.gsfc.nasa.gov/4834/", "result_type": "Visualization", "release_date": "2020-08-31T11:00:00-04:00", "title": "First Global Survey of Glacial Lakes Shows 30-Years of Dramatic Growth", "description": "Data visualization featuring the glacier rich region of the Himalayas, along with many of Earth’s highest peaks. The visualization sequence starts with a wide view of the Tibetan plateau and moves along a hiking path highlighting Mt. Everest, Mt. Lhotse, Mt Nuptse, the Everest Base Camp, the Khumbhu glacier, all the way to Imja Lake. Moving to a top-down view of Imja Lake, a time series of Landsat data unveils its dramatic growth for the period 1989-2019.This video is also available on our YouTube channel. || imja_final_4k.4600_print.jpg (1024x576) [114.8 KB] || imja_final_4k.4600_searchweb.png (320x180) [101.5 KB] || imja_final_4k.4600_web.png (320x180) [101.5 KB] || imja_final_4k.4600_thm.png (80x40) [7.5 KB] || imja_final_HD_1080p60.mp4 (1920x1080) [72.9 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || imja_final_HD_1080p60.webm (1920x1080) [19.7 MB] || with_cities (3840x2160) [0 Item(s)] || captions_silent.30013.en_US.srt [43 bytes] || imja_final_4k_2160p60.mp4 (3840x2160) [215.1 MB] || imja_final_2160p60_prores.mov (3840x2160) [16.9 GB] || ", "hits": 95 }, { "id": 4710, "url": "https://svs.gsfc.nasa.gov/4710/", "result_type": "Visualization", "release_date": "2019-03-13T00:00:00-04:00", "title": "Global Landslide Catalog (update 2019)", "description": "Using the Global Landslide Catalog (GLC), a world map has been produced to show the location of 11,033 reported landslides triggered by rainfall for the period 2007-2019 (last update 02.29.19). In this version, all landslide locations have the same visual treatment without pointing out which ones had fatalities. This version has been created for kids and educational purposes. || TotalLandslides_Catalog2019_print.jpg (1024x576) [86.8 KB] || TotalLandslides_Catalog2019_searchweb.png (320x180) [38.3 KB] || TotalLandslides_Catalog2019_thm.png (80x40) [5.7 KB] || TotalLandslides_Catalog2019.tif (3840x2160) [1.8 MB] || ", "hits": 297 }, { "id": 4631, "url": "https://svs.gsfc.nasa.gov/4631/", "result_type": "Visualization", "release_date": "2018-04-26T10:00:00-04:00", "title": "Global Landslide Hazard Assessment Model (LHASA) with Global Landslide Catalog (GLC) data", "description": "Landslides occur when an environmental trigger like an extreme rain event, often a severe storm or hurricane, and gravity's downward pull sets soil and rock in motion. Conditions beneath the surface are often unstable already, so the heavy rains act as the last straw that causes mud, rocks, or debris- or all combined- to move rapidly down mountains and hillsides. Unfortunately, people and property are often swept up in these unexpected mass movements. Landslides can also be caused by earthquakes, surface freezing and thawing, ice melt, the collapse of groundwater reservoirs, volcanic eruptions, and erosion at the base of a slope from the flow of river or ocean water. But torrential rains most commonly activate landslides. A new model has been developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30min. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM) mission to provide moderate to high “nowcasts.” This visualization shows the landslide nowcast results leveraging nearly two decades of Tropical Rainfall Measurement Mission (TRMM) rainfall over 2001-2016 to identify a landslide climatology by month at a 1 km grid cell. The average nowcast values by month highlight the key landslide hotspots, such as the Southeast Asia during the monsoon season in June through August and the U.S. Pacific Northwest in December and January. Overlaid with these nowcasts values are a Global Landslide Catalog (GLC) was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impact, or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The visualization shows the distribution of landslides each month based on the estimated number of fatalities the event caused. The GLC has been compiled since 2007 at NASA Goddard Space Flight Center and contains over 11,000 reports and growing. A new project called the Community the Cooperative Open Online Landslide Repository, or COOLR, provides the opportunity for the community to view landslide reports and contribute their own. The goal of the COOLR project is to create the largest global public online landslide catalog available and open to for anyone everyone to share, download, and analyze landslide information. More information on this system is available at: https://landslides.nasa.govThe Global Landslide Catalog is currently available here: https://catalog.data.gov/dataset/global-landslide-catalog-export || ", "hits": 197 }, { "id": 4640, "url": "https://svs.gsfc.nasa.gov/4640/", "result_type": "Visualization", "release_date": "2018-04-25T12:00:00-04:00", "title": "Close-up Views of the Global Landslide Hazard Assessment Model (LHASA) overlaid with Global Landslide Catalog (GLC) data", "description": "A close-up view of the potential landslide activity during July in Southeast Asia as evaluated by NASA's Landslide Hazard Assessment model for Situational Awareness. In the Download tab to the right, a set of 12 still images provides high-resolution (9,600x5,400) global maps to allow for close-up views in any location around the world. The images showcase the landslide climatology by month overload with the distribution of reported landslide fatalities for the period 2007-2017. || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_print.jpg (1024x576) [188.1 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_searchweb.png (320x180) [84.5 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_thm.png (80x40) [7.7 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp.tif (1920x1080) [7.9 MB] || MonthlyClimatologyFatalities (9600x5400) [0 Item(s)] || ", "hits": 42 }, { "id": 4632, "url": "https://svs.gsfc.nasa.gov/4632/", "result_type": "Visualization", "release_date": "2018-04-23T15:00:00-04:00", "title": "Global Landslide Catalog (Update 2017)", "description": "This entry contains updated maps generated for Glocal Landslide Catalog Aids View From Space, released on April 16, 2015Landslides are among the most common and dramatic natural hazards, reshaping landscapes -- and anything in their path. Tracking when and where landslides occur worldwide has historically been difficult, because of the lack of a centralized database across all nations. But NASA researchers have updated the first publicly available Global Landslide Catalog (GLC), based on media reports and online databases that bring together many sources of information on landslides that have occurred. The GLC has been compiled since 2007 at NASA's Goddard Space Flight Center and was originally released in 2010. Around 10,804 landslides are noted in the catalog for the period 2007-2017. This wealth of data gives scientists a starting point to analyze where, how and why landslides are likely to occur. The catalog is currently available here: https://catalog.data.gov/dataset/global-landslide-catalog-exportRecently, a new model was developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30 minutes. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM) mission to provide moderate to high “nowcasts.” For more information about this new model, please visit: New NASA Model Finds Landslide Threats in Near Real-Time During Heavy Rains\" || ", "hits": 73 }, { "id": 12897, "url": "https://svs.gsfc.nasa.gov/12897/", "result_type": "Produced Video", "release_date": "2018-03-22T10:30:00-04:00", "title": "New NASA Model Finds Landslide Threats in Near Real-Time During Heavy Rains", "description": "A new model has been developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30 minutes. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM) mission to provide moderate to high “nowcasts.” This visualization shows the landslide nowcast results leveraging nearly two decades of Tropical Rainfall Measurement Mission (TRMM) rainfall over 2001-2016 to identify a landslide climatology by month at a 1 km grid cell. The average nowcast values by month highlight the key landslide hotspots, such as the Southeast Asia during the monsoon season in June through August and the U.S. Pacific Northwest in December and January. Overlaid with these nowcasts values are a Global Landslide Catalog(GLC) that was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impact, or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The visualization shows the distribution of landslides each month based on the estimated number of fatalities the event caused. The GLC has been compiled since 2007 at NASA's Goddard Space Flight Center and contains over 11,000 reports and growing. A new project called the Community the Cooperative Open Online Landslide Repository, or COOLR, provides the opportunity for the community to view landslide reports and contribute their own. The goal of the COOLR project is to create the largest global public online landslide catalog available and open to for anyone everyone to share, download, and analyze landslide information. More information on this system is available at: https://landslides.nasa.gov. Landslides occur when an environmental trigger like an extreme rain event, often a severe storm or hurricane, and gravity's downward pull sets soil and rock in motion. Conditions beneath the surface are often unstable already, so the heavy rains act as the last straw that causes mud, rocks, or debris- or all combined- to move rapidly down mountains and hillsides. Unfortunately, people and property are often swept up in these unexpected mass movements. Landslides can also be caused by earthquakes, surface freezing and thawing, ice melt, the collapse of groundwater reservoirs, volcanic eruptions, and erosion at the base of a slope from the flow of river or ocean water. But torrential rains most commonly activate landslides.For more information: https://www.nasa.gov/feature/goddard/2018/new-from-nasa-tracking-landslide-hazards-new-nasa-model-finds-landslide-threats-in-near-real || ", "hits": 105 }, { "id": 4633, "url": "https://svs.gsfc.nasa.gov/4633/", "result_type": "Visualization", "release_date": "2018-03-22T10:00:00-04:00", "title": "Landslide Activity in the Americas for the Cover of Earth's Future", "description": "A view of the potential landslide activity during January in the Americas, as evaluated by NASA's Landslide Hazard Assessment model for Situational Awareness (LHASA). This still image is provided in 300dpi (print resolution) and in separate layers (water, data, land, outlines). || ClimatologyJanuary_Cover_Light_Layers_Preview_print.jpg (1024x1024) [125.1 KB] || ClimatologyJanuary_Cover_Light_Layers_Preview.png (2550x2550) [2.5 MB] || ClimatologyJanuary_Cover_Light_Layers_Preview_searchweb.png (320x180) [34.2 KB] || ClimatologyJanuary_Cover_Light_Layers_Preview_thm.png (80x40) [3.4 KB] || ClimatologyJanuary_Cover_Light_Layers_300dpi.tif (2550x2550) [16.4 MB] || ", "hits": 31 }, { "id": 11854, "url": "https://svs.gsfc.nasa.gov/11854/", "result_type": "Produced Video", "release_date": "2015-04-16T13:00:00-04:00", "title": "Global Landslide Catalog Aids View From Space", "description": "Landslides are among the most common and dramatic natural hazards, reshaping landscapes -- and anything in their path. Tracking when and where landslides occur worldwide has historically been difficult, because of the lack of a centralized database across all nations. But NASA researchers have updated the first publicly available Global Landslide Catalog, based on media reports and online databases that bring together many sources of information on landslides that have occurred since 2007. The catalog, originally released in 2010, is still the only one of its kind.Around 6000 landslides are noted in the catalog. This wealth of data gives scientists a starting point to analyze where, how and why landslides are likely to occur. In particular, NASA researchers have begun to compare landslide occurrence with global rainfall data from the Tropical Rainfall Measuring Mission.The catalog is currently available at: http://ojo-streamer.herokuapp.com/.Research: Spatial and temporal analysis of a global landslide catalog.Journal: Geomorphology, March 21, 2015.Link to paper: http://www.sciencedirect.com/science/article/pii/S0169555X15001579.Here is the YouTube video. || ", "hits": 38 }, { "id": 11855, "url": "https://svs.gsfc.nasa.gov/11855/", "result_type": "Produced Video", "release_date": "2015-04-16T13:00:00-04:00", "title": "Instagram: Global Landslide Catalog Aids View From Space", "description": "Landslides are among the most common and dramatic natural hazards, reshaping landscapes -- and anything in their path. Tracking when and where landslides occur worldwide has historically been difficult, because of the lack of a centralized database across all nations. But NASA researchers have updated the first publicly available Global Landslide Catalog, based on media reports and online databases that bring together many sources of information on landslides that have occurred since 2007. The catalog, originally released in 2010, is still the only one of its kind.Around 6000 landslides are noted in the catalog. This wealth of data gives scientists a starting point to analyze where, how and why landslides are likely to occur. In particular, NASA researchers have begun to compare landslide occurrence with global rainfall data from the Tropical Rainfall Measuring Mission.The catalog is currently available at: https://landslides.nasa.gov/Research: Spatial and temporal analysis of a global landslide catalog.Journal: Geomorphology, March 21, 2015.Link to paper: http://www.sciencedirect.com/science/article/pii/S0169555X15001579. || ", "hits": 26 }, { "id": 30178, "url": "https://svs.gsfc.nasa.gov/30178/", "result_type": "Hyperwall Visual", "release_date": "2013-10-17T12:00:00-04:00", "title": "A Changed Coastline in New Jersey", "description": "On October 29, 2012, Superstorm Sandy changed the lives of many living along the U.S. East Coast—especially along the shorelines of New Jersey, New York, and Connecticut. At landfall, heavy rains pelted states as far inland as Wisconsin and surging seawater washed away beaches and flooded streets, businesses, and homes. These two images show a portion of the New Jersey coastal town of Mantolokig, just north of where the storm made landfall, before (March 18, 2007) and after (October 31, 2012) the storm. On the barrier island, entire blocks of houses along Route 35 (also called Ocean Boulevard) were damaged or completely washed away by the storm surge and wind. Fires raged in the town from natural gas lines that had ruptured and ignited. A new inlet was cut across the island, connected the Atlantic Ocean and the Jones Tide Pond. || ", "hits": 22 }, { "id": 3870, "url": "https://svs.gsfc.nasa.gov/3870/", "result_type": "Visualization", "release_date": "2011-10-18T23:00:00-04:00", "title": "African Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. The MODIS instrument onboard the Terra and Aqua satellite, was specifically designed to detect fires. As a result, it can see both smaller fires and a wide range of fires from cool grass fires to raging forest fires. Burning carbon particles both on the tiny soot particles in the flame and on the fuel itself emit a very specific wavelength of light, 3.8 to 4 microns. NASA research has contributed to much improved detection of fire for scientific purposes using satellite remote sensing and geographic information systems. This has helped advance our understanding of the impacts of fire in many areas of earth science, including atmospheric chemistry and the impacts on protected areas. This research has led to the development of a rapid response system widely used throughout the world for both natural resource management and for firefighting by providing near real-time information. The visualization shows fires detected in Africa from July 2002 through July 2011. Africa has more abundant burning than any other continent. MODIS observations have shown that some 70 percent of the world's fires occur in Africa alone. \"It's incredibly satisfying to see such a long record of fires visualized,\" said Chris Justice, a scientist from the University of Maryland who leads NASA's effort to use MODIS data to study the world's fires. \"It's not only exciting visually, but what you see here is a very good representation of the data scientists use to understand the global distribution of fires and to determine where and how fires are responding to climate change and population growth.\"More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 20 }, { "id": 3869, "url": "https://svs.gsfc.nasa.gov/3869/", "result_type": "Visualization", "release_date": "2011-10-18T19:00:00-04:00", "title": "Boreal Forest Fire Observations and MODIS NDVI", "description": "NASA has released a series of new visualizations that show the locations of the millions of fires detected by key fire-monitoring instruments on NASA satellites over the last decade. This visualization shows fire observations made by the MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites in Europe and Asia from July 2002 through July 2011. \"It's incredibly satisfying to see such a long record of fires visualized,\" said Chris Justice, a scientist from the University of Maryland who leads NASA's effort to use MODIS data to study the world's fires. \"It's not only exciting visually, but what you see here is a very good representation of the data scientists use to understand the global distribution of fires and to determine where and how fires are responding to climate change and population growth.\"More information on the Fire Information for Resource Management System (FIRMS) is available at https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms. || ", "hits": 25 }, { "id": 3871, "url": "https://svs.gsfc.nasa.gov/3871/", "result_type": "Visualization", "release_date": "2011-10-18T19:00:00-04:00", "title": "Australia Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. The MODIS instrument onboard the Terra and Aqua satellite, was specifically designed to detect fires. This visualization shows fire detections from July 2002 through July 2011. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. The tour begins in Australia in 2002 by showing a network of massive grassland fires spreading across interior Australia as well as the greener Eucalyptus forests in the northern and eastern part of the continent.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 18 }, { "id": 3872, "url": "https://svs.gsfc.nasa.gov/3872/", "result_type": "Visualization", "release_date": "2011-10-18T19:00:00-04:00", "title": "South American Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. NASA research has contributed to much improved detection of fire for scientific purposes using satellite remote sensing and geographic information systems. This visualization of South America shows fire observations made by MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites . South America exhibits a steady flickering of fire across much of the Amazon rainforest with peaks of activity in September and November. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 34 }, { "id": 3873, "url": "https://svs.gsfc.nasa.gov/3873/", "result_type": "Visualization", "release_date": "2011-10-18T19:00:00-04:00", "title": "United States Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. NASA has released a series of new visualizations that show fires detected by key fire-monitoring instruments on NASA satellites over the last decade. The visualizations show fire observations made by MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. \"It's incredibly satisfying to see such a long record of fires visualized,\" said Chris Justice, a scientist from the University of Maryland who leads NASA's effort to use MODIS data to study the world's fires. \"It's not only exciting visually, but what you see here is a very good representation of the data scientists use to understand the global distribution of fires and to determine where and how fires are responding to climate change and population growth.\" North America is a region where fires are comparatively rare. North American fires make up just 2 percent of the world's burned area each year. The fires that receive the most attention in the United States, the uncontrolled forest fires in the West, are less visible than the wave of agricultural fires prominent in the Southeast and along the Mississippi River Valley, but some of the large wildfires that struck Texas earlier this spring are visible.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 67 }, { "id": 3868, "url": "https://svs.gsfc.nasa.gov/3868/", "result_type": "Visualization", "release_date": "2011-10-18T01:00:00-04:00", "title": "Global Fire Observations and MODIS NDVI", "description": "This visualization leads viewers on a narrated global tour of fire detections beginning in July 2002 and ending July 2011. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. The tour begins in Australia in 2002 by showing a network of massive grassland fires spreading across interior Australia as well as the greener Eucalyptus forests in the northern and eastern part of the continent. The tour then shifts to Asia where large numbers of agricultural fires are visible first in China in June 2004, then across a huge swath of Europe and western Russia in August, and then across India and Southeast Asia through the early part of 2005. It moves next to Africa, the continent that has more abundant burning than any other. MODIS observations have shown that some 70 percent of the world's fires occur in Africa alone. In what's a fairly average burning season, the visualization shows a huge outbreak of savanna fires during the dry season in Central Africa in July, August, and September of 2006, driven mainly by agricultural activities but also by the fact that the region experiences more lightning than anywhere else in the world. The tour shifts next to South America where a steady flickering of fire is visible across much of the Amazon rainforest with peaks of activity in September and November of 2009. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring. It concludes in North America, a region where fires are comparatively rare. North American fires make up just 2 percent of the world's burned area each year. The fires that receive the most attention in the United States, the uncontrolled forest fires in the West, are less visible than the wave of agricultural fires prominent in the Southeast and along the Mississippi River Valley, but some of the large wildfires that struck Texas earlier this spring are visible. More information on the Fire Information for Resource Management System (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 30 }, { "id": 3597, "url": "https://svs.gsfc.nasa.gov/3597/", "result_type": "Visualization", "release_date": "2009-06-13T01:00:00-04:00", "title": "Fire Observations - As the World Turns", "description": "From space, we can understand fires in ways that are impossible from the ground. NASA research has contributed to much improved detection of fire for scientific purposes using satellite remote sensing and geographic information systems. This has helped advance our understanding of the impacts of fire in many areas of earth science, including atmospheric chemistry and the impacts on protected areas. This research has led to the development of a rapid response system widely used throughout the world for both natural resource management and for firefighting by providing near real-time information. In this animation of fires around the globe in 2007, each red dot marks a new fire. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/ || ", "hits": 15 }, { "id": 2853, "url": "https://svs.gsfc.nasa.gov/2853/", "result_type": "Visualization", "release_date": "2004-01-31T12:00:00-05:00", "title": "Multisensor Fire Observations with Labels (HD Version)", "description": "From space, we can understand fires in ways that are impossible from the ground. New Earth-observing satellites capture the significant impact of fires on our planet. In this animation of fires around the globe in 2002, each red dot marks a new fire. Dots change color to yellow after a few days and to black when fires burn out. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. In the summer and fall burning seasons, particularly destructive fires occurred in Colorado, Arizona, and Oregon. This version of the visualization displays descriptive text labels and color bars. There is a standard definition version available as well. || ", "hits": 22 }, { "id": 2854, "url": "https://svs.gsfc.nasa.gov/2854/", "result_type": "Visualization", "release_date": "2004-01-31T12:00:00-05:00", "title": "Multisensor Fire Observations without Labels (HD Version)", "description": "From space, we can understand fires in ways that are impossible from the ground. New Earth-observing satellites capture the significant impact of fires on our planet. In this animation of fires around the globe in 2002, each red dot marks a new fire. Dots change color to yellow after a few days and to black when fires burn out. From brush fires in Africa to forest fires in North America, satellites are locating every significant fire on Earth to within one kilometer. In the summer and fall burning seasons, particularly destructive fires occurred in Colorado, Arizona, and Oregon. This version of the animation displays a minimal set of labels. For a closed captioned version of this animation, see the standard definition version at animation ID 2806. || ", "hits": 13 } ] }