{ "count": 134, "next": "https://svs.gsfc.nasa.gov/api/search/?datasets=5&limit=100&offset=100", "previous": null, "results": [ { "id": 31341, "url": "https://svs.gsfc.nasa.gov/31341/", "result_type": "Visualization", "release_date": "2025-04-11T10:30:00-04:00", "title": "2020 Iowa Derecho", "description": "NASA satellites imaged the after effects of an August 2020 derecho on Iowa crops.", "hits": 49 }, { "id": 31054, "url": "https://svs.gsfc.nasa.gov/31054/", "result_type": "Hyperwall Visual", "release_date": "2019-09-17T00:00:00-04:00", "title": "Ocean Color Gallery, late summer 2019", "description": "A selection of images from https://oceancolor.gsfc.nasa.gov/gallery/ from late summer 2019. || ", "hits": 31 }, { "id": 30839, "url": "https://svs.gsfc.nasa.gov/30839/", "result_type": "Hyperwall Visual", "release_date": "2016-12-08T01:00:00-05:00", "title": "2015 Monthly Cloud Fraction", "description": "Monthly Cloud Fraction for 2015 (Aqua/MODIS) || 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"release_date": "2016-01-29T10:00:00-05:00", "title": "2015 El Niño Disrupts Ocean Chlorophyll", "description": "Sea Surface Temperature Anomaly & Ocean Color variations during El Nino vs. La Nina, using the rainbow colorbar for Ocean Color || ocean_color_ssta_swipe_new_rainbow_1080p.00001_print.jpg (1024x576) [116.9 KB] || ocean_color_ssta_swipe_new_rainbow_1080p.mp4 (1920x1080) [2.4 MB] || ocean_color_ssta_swipe_new_rainbow_720p.mp4 (1280x720) [1.4 MB] || ocean_color_ssta_swipe_new_rainbow_720p.webm (1280x720) [3.8 MB] || ocean_color_ssta_swipe_new_rainbow_2304p.mp4 (4096x2304) [7.5 MB] || ocean_color_ssta_swipe_new_rainbow_360p.mp4 (640x360) [530.1 KB] || ", "hits": 73 }, { "id": 30699, "url": "https://svs.gsfc.nasa.gov/30699/", "result_type": "Hyperwall Visual", "release_date": "2015-11-27T00:00:00-05:00", "title": "Hazardous Air Quality Conditions in Singapore", "description": "Singapore region on September 24 and May 25, 2015, MODIS data only || singapore_smog_24_1080p_print.jpg 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They surround themselves with minute calcium carbonate plates called “coccoliths,” which are highly reflective such that populations of these plants can be seen from space. Near the Patagonia Shelf, located east of Argentina and Uruguay, ocean waters thrive with high concentrations of microscopic phytoplankton—e.g., coccolithiphores, dinoflagellates, and diatoms to name a few. That is because in this region the warm, saline, southward-flowing Brazil Current flows past and mixes with the cool, less-saline, nutrient-rich northward-flowing Falklands/Malvinas Current, creating an ideal environment for biological productivity. Scientists use true color satellite images like these, taken by Aqua/MODIS from December 15, 2010 to February 15, 2011, to observe the recurring coccolithophore blooms in the Patagonia Shelf region and study the impacts of ocean acidification on these microscopic organisms. Imagery from these two months shows a coccolithophore bloom (turquoise) near the shelf break. The shelf's unique ecosystem supports important fisheries in the region, providing a favorable reproductive habitat for anchovies and sardines. || ", "hits": 32 }, { "id": 30512, "url": "https://svs.gsfc.nasa.gov/30512/", "result_type": "Hyperwall Visual", "release_date": "2014-06-02T00:00:00-04:00", "title": "Bright Waters of the Southern Ocean", "description": "Phytoplankton are microscopic organisms that live in watery environments, forming the foundation of the aquatic and marine food webs. Phytoplankton populations can grow explosively creating bright green and blue marble swirls, or blooms, near the surface. This visualization shows global daily averages of suspended particulate inorganic carbon (PIC, known as calcium carbonate or limestone) from July 4, 2002 to May 26, 2014, made with data from Aqua/MODIS. One can see shades of bright turquoise circling the Southern Ocean, a unique and consistent feature characterized by the presence of elevated PIC concentrations near the Sub-Tropical, Sub-Antarctic, and Polar Fronts. Referred to as the \"Great Calcite Belt,\" high PIC concentrations result from large numbers of highly reflective microscopic PIC plates called “coccoliths,” released from calcifying coccolithophores. Such regions of elevated reflectance have been observed each year during austral summer with minor variations from year to year. Many sectors of the Southern Ocean are generally characterized by low concentrations of potentially growth limiting iron (Fe) concentrations. Studies suggest, however, that coccolithophores are well adapted to growth under low ambient iron conditions. || ", "hits": 100 }, { "id": 30371, "url": "https://svs.gsfc.nasa.gov/30371/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Albedo", "description": "When sunlight reaches the Earth’s surface, some of it is absorbed and some is reflected. The relative amount, or ratio, of light that a surface reflects compared to the total incoming sunlight is called albedo. Surfaces with high albedos include sand, snow and ice, and some urban surfaces, such as concrete. Surfaces with low albedos include forests, the ocean, and some urban surfaces, such as asphalt. These maps show monthly albedo from February 2000 to the present, on a scale from 0 (no incoming sunlight being reflected) to 0.9 (nearly all incoming light being reflected). Darker blue colors indicate that the surface is not reflecting much light, while paler blues indicate higher proportions of incoming light are being reflected. Black areas indicate “no data,” either over ocean or because persistent cloudiness prevented enough views of the surface. The observations are based on atmospherically corrected, cloud-cleared reflectance observations from the MODIS sensors on NASA’s Aqua and Terra satellites. || ", "hits": 94 }, { "id": 30392, "url": "https://svs.gsfc.nasa.gov/30392/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Chlorophyll Concentrations", "description": "At the base of the ocean food web are single-celled algae and other plant-like organisms known as phytoplankton. Like plants on land, phytoplankton use chlorophyll and other light-harvesting pigments to carry out photosynthesis, absorbing atmospheric carbon dioxide to produce sugars for fuel. Chlorophyll in the water changes the way it reflects and absorbs sunlight, allowing scientists to map the amount and location of phytoplankton. These measurements give scientists valuable insights into the health of the ocean environment, and help scientists study the ocean carbon cycle. These monthly chlorophyll maps show milligrams of chlorophyll per cubic meter of seawater from July 2002 to the present, derived using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA’s Aqua satellite. Places where chlorophyll amounts were very low, indicating very low numbers of phytoplankton are blue. Places where chlorophyll concentrations were high, meaning many phytoplankton were growing, are yellow. Land is dark gray, and places where MODIS could not collect data because of sea ice, polar darkness, or clouds are light gray. The highest chlorophyll concentrations, where tiny surface-dwelling ocean plants are thriving, are in cold polar waters or in places where ocean currents bring cold water to the surface. || ", "hits": 50 }, { "id": 30394, "url": "https://svs.gsfc.nasa.gov/30394/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Aerosol Optical Thickness (Aqua/MODIS)", "description": "Tiny solid and liquid particles suspended in the atmosphere are called aerosols. These particles are important to scientists because they represent an area of great uncertainty in their efforts to understand Earth's climate system.These maps show monthly aerosol optical thickness, derived using measurements from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA’s Aqua satellite, from July 2002 to the present. Aerosol optical thickness is a measure of how much light the airborne particles prevent from traveling through the atmosphere. Aerosols absorb and scatter incoming sunlight, thus reducing visibility and increasing optical thickness. Dark orange pixels show high aerosol concentrations, while light orange pixels show lower concentrations, and light yellow areas show little or no aerosols. Black shows where the sensor could not make its measurement. An optical thickness of less than 0.1 (light yellow) indicates a crystal clear sky with maximum visibility, whereas a value of 1 (dark orange) indicates the presence of aerosols so dense that people would have difficulty seeing the sun. || ", "hits": 65 }, { "id": 30395, "url": "https://svs.gsfc.nasa.gov/30395/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Aerosol Particle Radius (Aqua/MODIS)", "description": "Tiny solid and liquid particles suspended in the atmosphere are called aerosols. These particles are important to scientists because they can affect climate, weather, and people's health. Using satellites scientists can tell whether a given plume of aerosols came from a natural source or were produced by human activities. Two important clues about aerosols' sources are particle size and location of the plume. Natural aerosols (such as dust and sea salts) tend to be larger than man-made aerosols (such as smoke and industrial pollution). These maps show monthly aerosol particle radius from July 2002 to the present, derived using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA’s Aqua satellite. Red areas show aerosol plumes made up of smaller particles. These red-colored plumes are over regions where we know humans produce pollution. Green areas show aerosol plumes made up of larger particles. These green-colored plumes are over regions where we know aerosols occur naturally. Yellow areas show plumes in which large and small aerosol particles are intermingling. Black shows where the satellite could not measure aerosols. Maps such as these allow scientists to estimate the location and size of aerosol particles present in the atmosphere. || ", "hits": 62 }, { "id": 30396, "url": "https://svs.gsfc.nasa.gov/30396/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Cirrus Reflectance (Aqua/MODIS)", "description": "Cirrus clouds are thin, wispy clouds high in the sky that can be hard to see with the unaided eye. They typically form at an altitude of 6000 meters (20,000 feet) or higher, where the air temperature is below freezing. Cirrus clouds are composed mostly of tiny ice crystals. They are scientifically interesting because they allow most incoming sunlight to pass through them, but they help to contain heat emitted from the surface. Thus, cirrus clouds exert a warming influence on Earth's surface. These maps show monthly average cirrus cloud fraction over the Earth from July 2002 to the present, produced using data collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA's Aqua satellite. The MODIS sensor has a unique band for measuring infrared light at a wavelength of 1.38 micrometers—a wavelength that NASA scientists recently found is highly sensitive to cirrus. Bright white pixels indicate regions completely covered by cirrus clouds. Greyish-white pixels show partial cirrus cover and dark pixels indicate little or no cirrus. || ", "hits": 57 }, { "id": 30397, "url": "https://svs.gsfc.nasa.gov/30397/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Cloud Fraction (Aqua/MODIS)", "description": "Cloud fraction is the measurement scientists use to determine how much of the Earth is covered by clouds. The measurement is important because clouds play a large role in regulating the amount of energy that reaches the Earth from the sun as well as the amount of energy that the Earth reflects and emits back into space. These maps show monthly cloud fraction from July 2002 to the present, produced using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA’s Terra satellite. Like a digital camera, MODIS collects information in gridded boxes or pixels. Each box covers one square kilometer. Cloud fraction is the portion of each pixel that is covered by clouds. Scientists make this measurement by counting the number of pixels in a 25-square-kilometer box (5 pixels tall by 5 pixels wide) that are cloudy and dividing that number by 25. Scientists use these measurements to better understand how much of the Earth is covered by clouds and how changes in Earth’s climate may alter the amount and types of clouds that form. || ", "hits": 74 }, { "id": 30398, "url": "https://svs.gsfc.nasa.gov/30398/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Cloud Optical Thickness (Aqua/MODIS)", "description": "To better understand the role of clouds in the Earth's climate system, scientists need two important measurements: cloud optical thickness and cloud particle size. A cloud's optical thickness is a measure of attenuation of the light passing through the atmosphere due to the scattering and absorption by cloud droplets. Clouds do not absorb visible wavelengths of sunlight; rather, clouds scatter and reflect most visible light. The higher a cloud's optical thickness, the more sunlight the cloud is scattering and reflecting. These maps show monthly cloud optical thickness from July 2002 to the present, produced using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA’s Aqua satellite. Dark blue shades indicate areas where there are low cloud-optical-thickness values, while white shades indicate high values (i.e., greater attenuation caused by the scattering and absorption from cloud droplets). || ", "hits": 51 }, { "id": 30399, "url": "https://svs.gsfc.nasa.gov/30399/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Cloud Particle Radius (Aqua/MODIS)", "description": "To better understand the role of clouds in the Earth's climate system, scientists need two important measurements: cloud optical thickness and cloud particle size. The size of cloud particles is important. In general, smaller particles produce brighter, more reflective clouds, which bounce more sunlight back into space and cool the planet. By carefully quantifying how much shortwave infrared sunlight clouds absorb, scientists can determine the size of the individual particles within clouds. Clouds with larger particles absorb more shortwave infrared light and, conversely, clouds with smaller particles absorb less shortwave infrared light. These maps show monthly cloud particle radius from July 2002 to the present, produced using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA’s Aqua satellite. White shades show where there are smaller cloud particles (between 4 and 11 micrometers in radius), while purple shades show where there are larger cloud particles (between 33 and 40 micrometers). || ", "hits": 23 }, { "id": 30290, "url": "https://svs.gsfc.nasa.gov/30290/", "result_type": "Hyperwall Visual", "release_date": "2013-10-21T12:00:00-04:00", "title": "Ocean Color off Iceland's Coast", "description": "During the darkness of winter, when the growth of plant-like marine life slows, nutrients accumulate in the surface waters of cold high latitude oceans. When light returns in the spring and summer, plant-like organisms—phytoplankton—proliferate in the surface waters. Spring and early summer phytoplankton blooms can cover a broad swath of the ocean, providing an abundance of food to marine life. One of the larger regularly observed summer blooms occurs in the North Atlantic Ocean near Iceland and Greenland. This image of a bloom on July 10, 2008 shows phytoplankton coloring the water with swirls in shades ranging from deep green to bright turquoise. The bloom hugs the western shore of Iceland. The land is largely snow-free except for mountain tops like the snow-covered peak of Snæfellsjökull, the volcano where Jules Verne’s travelers began their descent into the bowels of the Earth in his classic novel Journey to the Center of the Earth. || ", "hits": 47 }, { "id": 30293, "url": "https://svs.gsfc.nasa.gov/30293/", "result_type": "Hyperwall Visual", "release_date": "2013-10-21T12:00:00-04:00", "title": "Bloom in the Ross Sea", "description": "Every southern spring and summer the Ross Sea bursts with life. Floating, microscopic plants, known as phytoplankton, soak up the sunlight and the nutrients and grow into prodigious blooms. Those blooms become a great banquet for krill, fish, penguins, whales, and other marine species. This true-color image captures such a bloom in the Ross Sea on January 22, 2011. Bright greens of plant-life have replaced the deep blues of open ocean water. The Ross Sea is a relatively shallow bay in the Antarctic coastline and due south from New Zealand. As the spring weather thaws the sea ice around Antarctica, areas of open water surrounded by ice—polynyas—open up on the continental shelf. In this open water, sunlight provides the fuel and various current systems provide nutrients from deeper waters to form blooms that can stretch 100 to 200 kilometers (60 to 120 miles). These blooms are among the largest in extent and abundance in the world. || ", "hits": 22 }, { "id": 30190, "url": "https://svs.gsfc.nasa.gov/30190/", "result_type": "Hyperwall Visual", "release_date": "2013-10-17T12:00:00-04:00", "title": "Saharan Dust over the Atlantic", "description": "Easterly winds carry Saharan dust from Africa high above the North Atlantic Ocean. At left, a natural color image captured by NASA’s Aqua satellite shows the dust as it travels offshore on September 21, 2009. The dust plume is shaped by the wind, forming waves near the surface immediately offshore. An even higher, thinner tan cloud veils the surface-level dust. Dust has infiltrated into different heights of the atmosphere. Differences in wind direction at various heights in the atmosphere create the “X” near the center of the dust plume.In certain atmospheric conditions, dust from the Sahara Desert is transported clear around the globe. In fact, many scientists use space-based multi-angle imaging to track the journey of dust. Having the capability to track dust from space, provides even greater opportunities for understanding atmospheric circulation patterns at a global scale. || ", "hits": 27 }, { "id": 30191, "url": "https://svs.gsfc.nasa.gov/30191/", "result_type": "Hyperwall Visual", "release_date": "2013-10-17T12:00:00-04:00", "title": "Australian Dust over the Pacific Ocean", "description": "Strong westerly winds roaring across Australia’s desert interior were able to suspend dust particles for hundreds of miles before reaching the South Pacific Ocean. This image, taken by NASA’s Terra satellite on September 12, 2009, reveals the wedge of dust as it parts from the continent. Nearly weightless in nature, the wispy layer of dust is visible by its tan hue floating above the underlying stratus cloud deck. The dust is thought to have originated from the dry Lake Eyre basin, covering nearly one sixth of the continent. The lake fills during exceptionally wet rainy seasons (December-February) but remains dry during other months. As water evaporates from the lake, it leaves a fine layer of sediment that is easily lifted by wind. Sediment from dry lakebeds is a significant source of airborne dust worldwide. || ", "hits": 19 }, { "id": 4115, "url": "https://svs.gsfc.nasa.gov/4115/", "result_type": "Visualization", "release_date": "2013-10-08T00:00:00-04:00", "title": "Aqua MODIS Acquisition and Products for Hyperwall", "description": "Satellites only view a small piece of the earth at once. Over time, a larger composite view can be created from these small pieces. The images on this page are representative of some different types of data that are collected by satellites about the earth. || ", "hits": 17 }, { "id": 11159, "url": "https://svs.gsfc.nasa.gov/11159/", "result_type": "Produced Video", "release_date": "2012-12-04T10:00:00-05:00", "title": "2012 and the Future of Fire", "description": "The U.S. fire season in 2012 was by some measures a record-breaking season. NASA scientist Doug Morton and University of Maryland scientist Louis Giglio discuss the links between climate and wildfires and the likelihood of seeing more extreme fire events in the future. This page includes a short video discussing these topics, extended interview clips from Giglio and Morton, and visualizations of the 2012 fire season in North America. || ", "hits": 18 }, { "id": 3850, "url": "https://svs.gsfc.nasa.gov/3850/", "result_type": "Visualization", "release_date": "2011-08-30T00:00:00-04:00", "title": "Extreme Russian Fires and Pakistan Floods Linked Meteorologically", "description": "In the summer of 2010, months of record-breaking drought and temperatures culminated with a rash of fires that ravaged western Russia for weeks. Temperatures in Moscow soared to an average of 104 °F (40 °C) during late July and early August — more than 18 °F (10 °C) above normal. Hundreds of fires broke out producing some $15 million in damages. The heat and smoke killed about 56,000 people, making the Russian wildfires fires one of the most lethal natural disasters of the year.Meanwhile, some 930 kilometers (1,500 miles) away, relentless rainfall was simultaneously pounding Pakistan and generating intense flooding. The Pakistan Meteorological Department reported nationwide rain totals 70 percent above normal in July and 102 percent above normal in August.New research conducted by William Lau, an atmospheric scientist at NASA's Goddard Space Flight Center in Greenbelt, Md., suggests the two seemingly disconnected events were actually closely linked.Under normal circumstances, the jet stream pushes weather fronts through Eurasia in four or five days, but something unusual happened in July of 2010. A large-scale, stagnant weather pattern — known as an Omega blocking event — slowed the Rossby wave over Russia and prevented the normal progression of weather systems from west to east.As a result, a large region of high-pressure formed over Russia trapping a hot, dry air mass over the area. As the high lingered, the land surface dried and the normal transfer of moisture from the soil to the atmosphere slowed. Precipitation ceased, vegetation dried out, and the region became a taiga tinderbox.Meanwhile, the blocking pattern created unusual downstream wind patterns over Pakistan. Areas of low pressure on the leading edge of the Rossby wave formed in response to the high, pulling cold, dry Siberian air into lower latitudes.This cold air from Siberia clashed with warm, moist air arriving over Pakistan from the Bay of Bengal as part of the monsoon. There's nothing unusual about moisture moving north over India toward the Himalayas. It's a normal part of the monsoon. However, in this case, the unusual wind patterns associated with the blocking high brought upper level air disturbances farther south than typical, which in effect helped shifted the entire monsoon system north and west.This brought heavy monsoon rains — centered over parts of India — squarely over the northern part of Pakistan, a region ill-prepared to handle large amounts of rain. || ", "hits": 36 }, { "id": 10737, "url": "https://svs.gsfc.nasa.gov/10737/", "result_type": "Produced Video", "release_date": "2011-08-05T00:00:00-04:00", "title": "Tohoku Tsunami Creates Antarctic Icebergs", "description": "Nearly 50 square miles of ice broke off the Sulzberger Ice Shelf on the coast of Antarctica, resulting from waves generated by the Tohoku earthquake and tsunami that struck Japan in March 2011. || ", "hits": 28 }, { "id": 3804, "url": "https://svs.gsfc.nasa.gov/3804/", "result_type": "Visualization", "release_date": "2010-12-12T00:00:00-05:00", "title": "Human Consumption of Global Plant Production, 2005", "description": "On Dec. 14, 2010 NASA Goddard researchers conducted a press briefing at the American Geophysical Union Fall 2010 meeting, entitled, \"Satellite Supported Estimates of Human Rate of NPP carbon Use on Land: Challenges Ahead.\" In the first measurement of this trend, the research showed humans are using an increasing amount of Earth's annual production of photosynthetic land plants due to both increases in population and per capita consumption, and that amount of Net Primary Production (NPP) required rose from 20 to 25 percent from 1995 to 2005.This visualization illustrates the relationship between human acquistition of net primary productivity (HANPP) and NPP itself, by presenting the ratio of HANPP to NPP. It is a carbon balance sheet showing the percent of terrestrial net primary production that is required to provide food, fiber, and wood-based fuels for the world's global population in 2005.Measured in terms of carbon, regions where the populations are consuming more than is generated on the landscape show up as yellows and reds. The colors are presented on a logarithmic scale, meaning that the value of the data at each unit on the scale is ten times that of the previous unit; i.e. areas in red are 100 times (or greater) the value of areas in green. Therefore yellow, for example, with a value of HANPP/NPP = 10^0, or 1, represents regions were people require an amount of NPP that is 100 percent of the regional production, and red represents regions where people require more production than is locally available, up to 1000 percent and beyond. Values of less than 10 percent are not shown. This map shows where populations are highly dependent upon a food and fiber distribution system and are arguably potentially vulnerable to climate change. || ", "hits": 17 }, { "id": 3761, "url": "https://svs.gsfc.nasa.gov/3761/", "result_type": "Visualization", "release_date": "2010-08-29T00:00:00-04:00", "title": "Hurricane Earl Develops Stirs up the Atlantic on August 31, 2010", "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Terra satellite captured this natural-color image of Hurricane Earl on August 26 at 1545 UTC. At this time, she was a category 4 storm with winds of 135 mph. || ", "hits": 21 }, { "id": 3757, "url": "https://svs.gsfc.nasa.gov/3757/", "result_type": "Visualization", "release_date": "2010-08-27T00:00:00-04:00", "title": "Hurricane Danielle Churns in the Atlantic on August 26, 2010", "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Aqua satellite captured this natural-color image of Hurricane Danielle on August 26 at 1555 UTC. At this time, she was a category 2 storm with winds of 90 knots and a pressure reading of 982 mb. Danielle has a distinct eye with the storm's longest spiral arms streching toward the northeast. || ", "hits": 20 }, { "id": 3762, "url": "https://svs.gsfc.nasa.gov/3762/", "result_type": "Visualization", "release_date": "2010-08-02T00:00:00-04:00", "title": "Extreme Storm Train on September 1, 2010", "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Terra and Aqua satellite captured this image of Hurricane Earl, Tropical Storm Fiona, and Tropical Depression Gaston on September 1, 2010. Hurricane Earl is in the foreground. Tropical Storm FIona is just east of Puerto Rico. Tropical Depression Gaston is north of Brazil near the Earth's limb in this image. || ", "hits": 13 }, { "id": 10562, "url": "https://svs.gsfc.nasa.gov/10562/", "result_type": "Produced Video", "release_date": "2010-05-27T00:00:00-04:00", "title": "Gulf of Mexico Oil Spill", "description": "You can learn more about NASA's satellite observations of the oil spill by visiting https://www.nasa.gov/topics/earth/features/oilspill/. || ", "hits": 78 }, { "id": 10574, "url": "https://svs.gsfc.nasa.gov/10574/", "result_type": "Produced Video", "release_date": "2010-02-22T00:00:00-05:00", "title": "Piecing Together the Temperature Puzzle", "description": "The decade from 2000 to 2009 was the warmest in the modern record. \"Piecing Together the Temperature Puzzle\" illustrates how NASA satellites enable us to study possible causes of climate change. The video explains what role fluctuations in the solar cycle, changes in snow and cloud cover, and rising levels of heat-trapping gases may play in contributing to climate change. For complete transcript, click here. || Temperature_Puzzle_fullres.01252_print.jpg (1024x576) [113.2 KB] || Temperature_Puzzle_fullres_web.png (320x180) [207.8 KB] || Temperature_Puzzle_fullres_thm.png (80x40) [16.9 KB] || Temperature_Puzzle_AppleTV.webmhd.webm (960x540) [83.9 MB] || Temperature_Puzzle_fullres.mov (1280x720) [166.2 MB] || Temperature_Puzzle_AppleTV.m4v (960x720) [211.4 MB] || Temperature_Puzzle__Youtube.mov (1280x720) [87.7 MB] || Temperature_Puzzle_iPod_small.m4v (640x360) [67.9 MB] || Temperature_Puzzle_iPod_large.m4v (320x180) [27.9 MB] || Temperature_Puzzle_svs.mpg (512x288) [136.6 MB] || Temperature_Puzzle_portal.wmv (346x260) [38.8 MB] || ", "hits": 38 }, { "id": 3565, "url": "https://svs.gsfc.nasa.gov/3565/", "result_type": "Visualization", "release_date": "2008-10-30T00:00:00-04:00", "title": "Aqua MODIS: Snow Cover designed for Science On a Sphere (SOS) and WMS", "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) provides data in 36 spectral bands, some of which are used to map global snow cover. However, MODIS can only take measurements of the surface in daylight, cloud-free areas. For this animation, valid snowcover measurements are retained over time during darkness or cloudy days until a subsequent valid measurement is found. This animation shows the dynamic advance and retreat of MODIS daily snow cover from September 1, 2002 through September 20, 2008. || ", "hits": 25 }, { "id": 3532, "url": "https://svs.gsfc.nasa.gov/3532/", "result_type": "Visualization", "release_date": "2008-09-11T00:00:00-04:00", "title": "Current Sea Surface Temperatures Rising in the Gulf of Mexico", "description": "Sea surface temperatures in the Gulf of Mexico rise due to natural summer warming. These warm surface temperatures are a contributing factor to favorable conditions that can lead to the formation of tropical storms and hurricanes in the Gulf of Mexico and off the East Coast of the United States. In general, hurricanes tend to form over warm ocean water whose temperature is 82 degrees Fahrenheit (approximately 27.7 degrees Celsius) or higher. These areas are depicted in yellow, orange, and red. This blended microwave- and infrared-wavelength data was taken by the AMSR-E and MODIS instruments aboard the Aqua satellite, and the TMI instrument aboard the TRMM satellite. This animation updates every 24 hours. || ", "hits": 88 }, { "id": 3437, "url": "https://svs.gsfc.nasa.gov/3437/", "result_type": "Visualization", "release_date": "2007-07-22T00:00:00-04:00", "title": "The A-Train Observes Tropical Storm Debby", "description": "The A-Train is a group of spacecraft flying in close formation allowing data taken by each instrument to be correlated to the other instruments providing data synergy. The A-Train includes Aqua, CloudSat, CALIPSO, Parasol, and Aura. The animation begins showing the Earth with moving clouds and with a day/night terminator. Time slows down, and A-train spacecraft orbits are added during a daytime pass. The orbits progress around the globe for 12 hours. During a night time pass the camera zooms into Tropical Storm Debby as the A-train flies over on August 24, 2006. Data sets from some of the A-train's spacecraft/instruments are shown including Aqua/MODIS, CloudSat, CALIPSO, and Aqua/AIRS. This visualization was created to support an A-Train session at the 2007 International Geoscience and Remote Sensing Symposium (IGARSS). || ", "hits": 30 }, { "id": 3436, "url": "https://svs.gsfc.nasa.gov/3436/", "result_type": "Visualization", "release_date": "2007-07-05T00:00:00-04:00", "title": "CloudSat, Calipso and MODIS over Central America", "description": "Associated with tropical thunderstorms are broad fields of cirrus clouds that flow out of the tops of the vigorous storm systems that form over warm tropical oceans. These clouds play a role in how much infrared energy is trapped in Earth's atmosphere. NASA's Tropical Composition, Cloud and Climate Coupling (TC4) mission, which runs from July 16, 2007 through August 8, 2007, aims to document the full lifecycle of these clouds. Observations from four A-Train satellites flying in formation will complement the aircraft measurements with large-scale views of many different features of the atmosphere. Observations from this mission along with previous studies will improve our understanding of what effect a warming climate with rising ocean temperatures will have on these cloud systems. These images over Central America, produced in support of the TC4 mission, show a tropical storm system over Central and South America on August 2, 2006 as measured from multiple satellite sensors, including Aqua MODIS, CloudSat and CALIPSO. In this view from the Pacific Ocean, Panama is on the left and South America is shown on the right. In the following series of still images, each satellite's measurement is shown individually and in combination with the others from the same camera viewpoint. The profile showing CloudSat and CALIPSO data is truncated at a height of twenty kilometers and exaggerated ten times. The land topography is also exaggerated by a factor of ten. || ", "hits": 31 }, { "id": 3429, "url": "https://svs.gsfc.nasa.gov/3429/", "result_type": "Visualization", "release_date": "2007-05-28T00:00:00-04:00", "title": "Ayles Ice Shelf Breakup Viewed from Overhead", "description": "On August 13, 2005, almost the entire Ayles Ice Shelf calved from the northern edge of Ellesmere Island. This continues the trend of dramatic loss of these ice shelves over the past century, reducing the remaining ice shelves there from six to five. Since 1900, approximately 90% of the Ellesmere Island ice shelves have calved and floated away. There is insufficient new ice formation to replace the ice that has been lost. The Ayles calving event was the largest in at least the last 25 years; a total of 87.1 sq km (33.6 sq miles) of ice was lost in this event, of which the largest piece was 66.4 sq km (25.6 sq. miles) in area. This piece is equivalent in size to approximately 11,000 football fields or a little larger than the island of Manhattan. || ", "hits": 23 }, { "id": 3430, "url": "https://svs.gsfc.nasa.gov/3430/", "result_type": "Visualization", "release_date": "2007-05-28T00:00:00-04:00", "title": "Ayles Ice Shelf Breakup Viewed from Northwest Coastline", "description": "On August 13, 2005, almost the entire Ayles Ice Shelf calved from the northern edge of Ellesmere Island. This continues the trend of dramatic loss of these ice shelves over the past century, reducing the remaining ice shelves there from six to five. Since 1900, approximately 90% of the Ellesmere Island ice shelves have calved and floated away. There is insufficient new ice formation to replace the ice that has been lost. The Ayles calving event was the largest in at least the last 25 years; a total of 87.1 sq km (33.6 sq miles) of ice was lost in this event, of which the largest piece was 66.4 sq km (25.6 sq. miles) in area. This piece is equivalent in size to approximately 11,000 football fields or a little larger than the island of Manhattan. || ", "hits": 22 }, { "id": 3419, "url": "https://svs.gsfc.nasa.gov/3419/", "result_type": "Visualization", "release_date": "2007-04-23T12:00:00-04:00", "title": "NAMMA Aircraft Flights from Cape Verde", "description": "The NASA African Monsoon Multidisciplinary Analysis (NAMMA) campaign was a field research campaign to study African Easterly waves off the western coast of Africa. A DC-8 aircraft was flown out of the island of Sal, Cape Verde, in August and September 2006, and was outfitted with atmospheric sensors that measured data in this region that could be compared with satellite, balloon, and ground-based sensors to build up a comprehensive picture of the atmosphere in this region. This region is important in that it is one of the primary regions of tropical cyclogenesis, where Atlantic hurricanes form. This animation shows all the flight paths of the DC-8 during this campaign along with the corresponding cloud and satellite data from satellites. || ", "hits": 18 }, { "id": 3414, "url": "https://svs.gsfc.nasa.gov/3414/", "result_type": "Visualization", "release_date": "2007-03-08T00:00:00-05:00", "title": "Sample LIMA Data versus MOA Data of Ferrar Glacier", "description": "The Landsat Image Mosaic of Antarctica (LIMA) is a data product funded by the National Science Foundation (NSF) and jointly produced by the U.S. Geological Survey (USGS), the British Antarctic Survey (BAS), and the National Aeronautics and Space Administration (NASA). The images shown here are compared to what is currently the best mosaic of Antarctica called the MODIS Mosaic of Antarctica (MOA). MOA is a composite of 260 swaths comprised of both Terra and Aqua MODIS images acquired between November 20, 2003 and February 29, 2004. MOA's data resolution is approximately 150 meters per pixel. From large continental views of Antarctica, MOA is more than adequate. However, as we get closer in to the surface, the resolution of the MOA data begins to show, thus highlighting the value of the LIMA product once it is complete. The LIMA data shown here uses the pan-chromatic band which translates to a resolution of 15 meters per pixel (opposed to MOA's 150 meters per pixel resolution). The 13 swaths used to generate this sample mosaic where acquired between December 25, 1999 and December 31, 2001. The elevation shown is actual (1x). Comparing this sample LIMA data set alongside MOA data over the same region shows the value of having a higher resolution view of Antarctica. || ", "hits": 20 }, { "id": 3415, "url": "https://svs.gsfc.nasa.gov/3415/", "result_type": "Visualization", "release_date": "2007-03-08T00:00:00-05:00", "title": "Sample LIMA Data versus MOA Data of Koettlitz Glacier", "description": "The Landsat Image Mosaic of Antarctica (LIMA) is a data product funded by the National Science Foundation (NSF) and jointly produced by the U.S. Geological Survey (USGS), the British Antarctic Survey (BAS), and the National Aeronautics and Space Administration (NASA). The images shown here are compared to what is currently the best mosaic of Antarctica called the MODIS Mosaic of Antarctica (MOA). MOA is a composite of 260 swaths comprised of both Terra and Aqua MODIS images acquired between November 20, 2003 and February 29, 2004. MOA's data resolution is approximately 150 meters per pixel. From large continental views of Antarctica, MOA is more than adequate. However, as we get closer in to the surface, the resolution of the MOA data begins to show, thus highlighting the value of the LIMA product once it is complete. The LIMA data shown here uses the pan-chromatic band which translates to a resolution of 15 meters per pixel (opposed to MOA's 150 meters per pixel resolution). The 13 swaths used to generate this sample mosaic where acquired between December 25, 1999 and December 31, 2001. The elevation shown is actual (1x). Comparing this sample LIMA data set alongside MOA data over the same region shows the value of having a higher resolution view of Antarctica. || ", "hits": 14 }, { "id": 3416, "url": "https://svs.gsfc.nasa.gov/3416/", "result_type": "Visualization", "release_date": "2007-03-08T00:00:00-05:00", "title": "Sample LIMA Data versus MOA Data of the Area Surrounding McMurdo Station", "description": "The Landsat Image Mosaic of Antarctica (LIMA) is a data product funded by the National Science Foundation (NSF) and jointly produced by the U.S. Geological Survey (USGS), the British Antarctic Survey (BAS), and the National Aeronautics and Space Administration (NASA). The images shown here are compared to what is currently the best mosaic of Antarctica called the MODIS Mosaic of Antarctica (MOA). MOA is a composite of 260 swaths comprised of both Terra and Aqua MODIS images acquired between November 20, 2003 and February 29, 2004. MOA's data resolution is approximately 150 meters per pixel. From large continental views of Antarctica, MOA is more than adequate. However, as we get closer in to the surface, the resolution of the MOA data begins to show, thus highlighting the value of the LIMA product once it is complete. The LIMA data shown here uses the pan-chromatic band which translates to a resolution of 15 meters per pixel (opposed to MOA's 150 meters per pixel resolution). The 13 swaths used to generate this sample mosaic where acquired between December 25, 1999 and December 31, 2001. The elevation shown is actual (1x). Comparing this sample LIMA data set alongside MOA data over the same region shows the value of having a higher resolution view of Antarctica. || ", "hits": 15 }, { "id": 3417, "url": "https://svs.gsfc.nasa.gov/3417/", "result_type": "Visualization", "release_date": "2007-03-08T00:00:00-05:00", "title": "Sample LIMA Data versus MOA Data of McMurdo Station", "description": "The Landsat Image Mosaic of Antarctica (LIMA) is a data product funded by the National Science Foundation (NSF) and jointly produced by the U.S. Geological Survey (USGS), the British Antarctic Survey (BAS), and the National Aeronautics and Space Administration (NASA). The images shown here are compared to what is currently the best mosaic of Antarctica called the MODIS Mosaic of Antarctica (MOA). MOA is a composite of 260 swaths comprised of both Terra and Aqua MODIS images acquired between November 20, 2003 and February 29, 2004. MOA's data resolution is approximately 150 meters per pixel. From large continental views of Antarctica, MOA is more than adequate. However, as we get closer in to the surface, the resolution of the MOA data begins to show, thus highlighting the value of the LIMA product once it is complete. The LIMA data shown here uses the pan-chromatic band which translates to a resolution of 15 meters per pixel (opposed to MOA's 150 meters per pixel resolution). The 13 swaths used to generate this sample mosaic where acquired between December 25, 1999 and December 31, 2001. The elevation shown is actual (1x). Comparing this sample LIMA data set alongside MOA data over the same region shows the value of having a higher resolution view of Antarctica. || ", "hits": 15 }, { "id": 3403, "url": "https://svs.gsfc.nasa.gov/3403/", "result_type": "Visualization", "release_date": "2007-02-19T00:00:00-05:00", "title": "Antarctic Plumbing: Lake Englehardt's Subglacial Hydraulic System", "description": "ICESat satellite laser altimeter elevation profiles from 2003-2006 collected over West Antarctica reveal numerous regions of temporally varying elevation. MODIS satellite imagery over roughly the same time period collaborates where these subglacial fluctuations have occurred. These observations have led scientists to conclude that subglacial water movement is happening in this lake region, revealing a widespread, dynamic subglacial water system that could provide important insights into ice flow and the mass balance of Antarctica's ice. || ", "hits": 57 }, { "id": 3326, "url": "https://svs.gsfc.nasa.gov/3326/", "result_type": "Visualization", "release_date": "2006-04-12T00:00:00-04:00", "title": "Aqua MODIS Ocean Color Granules during Hurricane Katrina", "description": "The Aqua satellite orbits the Earth every 99 minutes in a polar, sun-synchronous orbit. The MODIS instrument on Aqua observes reflected light from the Earth in 36 spectral frequencies. These observations can be processed to show many properties of the Earth's surface, from temperature and phytoplankton measurements near the surface of the ocean to fire occurrences and land cover characteristics on the land surface.The MODIS observations start out divided into 5-minute sections called granules, and this animation shows MODIS ocean color data from about 4 days of individual Aqua granules. Ocean color is a measurement of the amount of chlorophyll in ocean phytoplankton and is therefore a direct measurement of the amount of life in the ocean. It can only be measured in ocean regions that are free of both clouds and sun glint, the bright band of specular reflection in the center of each granule. || ", "hits": 20 }, { "id": 3327, "url": "https://svs.gsfc.nasa.gov/3327/", "result_type": "Visualization", "release_date": "2006-04-12T00:00:00-04:00", "title": "Aqua MODIS Ocean Color Progression during Hurricane Katrina", "description": "The Aqua satellite orbits the Earth every 99 minutes in a polar, sun-synchronous orbit. The MODIS instrument on Aqua observes reflected light from the Earth in 36 spectral frequencies. These observations can be processed to show many properties of the Earth's surface, from temperature and phytoplankton measurements near the surface of the ocean to fire occurrences and land cover characteristics on the land surface. This animation shows MODIS ocean color data from about 4 days of individual Aqua orbits. Ocean color is a measurement of the amount of chlorophyll in ocean phytoplankton and is therefore a direct measurement of the amount of life in the ocean. It can only be measured in ocean regions that are free of both clouds and sun glint, the bright band of specular reflection in the center of each granule. For this animation the data is accumulated and so builds up a complete picture of the surface of the Earth except around the South Pole, which is in darkness during the entire 4-day period. || ", "hits": 26 }, { "id": 3328, "url": "https://svs.gsfc.nasa.gov/3328/", "result_type": "Visualization", "release_date": "2006-04-12T00:00:00-04:00", "title": "Aqua MODIS Ocean Color Swath during Hurricane Katrina", "description": "The Aqua satellite orbits the Earth every 99 minutes in a polar, sun-synchronous orbit. The MODIS instrument on Aqua observes reflected light from the Earth in 36 spectral frequencies. These observations can be processed to show many properties of the Earth's surface, from temperature and phytoplankton measurements near the surface of the ocean to fire occurrences and land cover characteristics on the land surface.This animation shows MODIS ocean color data from about 4 days of individual Aqua orbits. Ocean color is a measurement of the amount of chlorophyll in ocean phytoplankton and is therefore a direct measurement of the amount of life in the ocean. It can only be measured in ocean regions that are free of both clouds and sun glint, the bright band of specular reflection in the center of each granule. || ", "hits": 28 }, { "id": 3292, "url": "https://svs.gsfc.nasa.gov/3292/", "result_type": "Visualization", "release_date": "2006-02-15T12:00:00-05:00", "title": "Habitat Suitability for Tamarisk Invasion in the State of Texas", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and the US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of Texas. Red indicates areas that are highly suitable and yellow indicates areas which are less suitable. Texas is the most vulnerable state to a Tamarisk invasion with 30.11% of the states area classified as 95% suitable for tamarisk habitat. || ", "hits": 9 }, { "id": 3291, "url": "https://svs.gsfc.nasa.gov/3291/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "National Map Showing Habitat Suitability for Tamarisk Invasion", "description": "The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data, to create on-demand, regional-scale assessments of invasive species likely habitats.Recent work on the Invasive Species Forecasting System (ISFS) project has shown the importance of remotely-sensed time-series data in geostatistical models for mapping the distribution of Tamarisk and other invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the continental United States. Red indicates areas that are highly suitable and yellow indicates areas which are less suitable. Texas, New Mexico, and Nevada are the most highly suitable states. Utah and Arizona have the next greatest risk. California, Arizona, Montana, Colorado, Oregon, Ohio, Wyoming, and Florida also have a significant risk. || ", "hits": 12 }, { "id": 3293, "url": "https://svs.gsfc.nasa.gov/3293/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "The Habitat Suitability for Tamarisk Invasion in the State of New Mexico", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in New Mexico. New Mexico is vulnerable to a Tamarisk invasion with 13.55% of the states area classified as 95% suitable for Tamarisk habitat. Tamarisk spreads quickly along riverbeds and when it sheds its leaves, this foliage secretes salt on the soil, hindering other plant growth. Red indicates areas that are highly suitable for Tamarisk. Yellow indicates areas which are less suitable, and gray indicates areas which are not suitable. || ", "hits": 10 }, { "id": 3297, "url": "https://svs.gsfc.nasa.gov/3297/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Habitat Suitability for Tamarisk Invasion in the State of Arizona", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of Arizona. Tamarisk spreads quickly along riverbeds and when it sheds its leaves, this foliage secretes salt on the soil, which hinders other plant growth. Red indicates areas that are highly suitable for Tamarisk. Yellow indicates areas which are less suitable, and gray are areas which are not suitable. || ", "hits": 8 }, { "id": 3298, "url": "https://svs.gsfc.nasa.gov/3298/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Habitat Suitability for Tamarisk Invasion in the State of Nevada", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of Nevada. Tamarisk spreads quickly along riverbeds and when it sheds its leaves, this foliage secretes salt on the soil, which hinders other plant growth. Red indicates areas that are highly suitable for Tamarisk. Yellow indicates areas which are less suitable, and gray are areas which are not suitable. || ", "hits": 7 }, { "id": 3299, "url": "https://svs.gsfc.nasa.gov/3299/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Habitat Suitability for Tamarisk Invasion in the State of California", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of California. Tamarisk spreads quickly along riverbeds and when its leaves shed, they secrete salt on the soil, which can hinder other plant growth. Red indicates areas that are highly suitable. Yellow indicates areas which are less suitable, and gray are areas which are not suitable. || ", "hits": 8 }, { "id": 3300, "url": "https://svs.gsfc.nasa.gov/3300/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Habitat Suitability for Tamarisk Invasion in the State of Colorado", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of California. Tamarisk spreads quickly along riverbeds and when its leaves shed, they secrete salt on the soil, which can hinder other plant growth. Red indicates areas that are highly suitable for Tamarisk growth. Yellow indicates areas which are less suitable, and gray are areas which are not suitable. The study used field surveys of species richness, one 30m spatial resolution Landsat 7 Enhanced Thematic Mapper plus (ETM+) image, and a three year time-series of 250m spatial resolution Moderate Resolution Imaging Spectrometer (MODIS) imagery over three sites. Actual tamarisk presence data from the field surveys are shown in green. || ", "hits": 3 }, { "id": 3330, "url": "https://svs.gsfc.nasa.gov/3330/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Creating the Tamarisk Habitat Suitability Map (for General Use)", "description": "The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats.The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining satellite observed annual vegetation cycles with land cover classification data the likely habitat for Tamarisk can be derived. || ", "hits": 1 }, { "id": 3331, "url": "https://svs.gsfc.nasa.gov/3331/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Creating the Tamarisk Habitat Suitability Map (for Science Presentations)", "description": "The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER, and commercial remote sensing data, and create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats.The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining daily Normalized Differential Vegetation Index (NDVI), daily Enhanced Vegetation Index (EVI), and MODIS Land Cover Classification data the likely Tamarisk habitat suitability map can be derived. || ", "hits": 1 }, { "id": 3332, "url": "https://svs.gsfc.nasa.gov/3332/", "result_type": "Visualization", "release_date": "2006-02-15T00:00:00-05:00", "title": "Deriving the Tamarisk Suitability Map: The Complete Story", "description": "The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats. Tamarisk (Salt Ceder) is an invasive plant that typically grows near water and crowds out native species. Tamarisk reflective properties differ from those of its neighboring vegetation throughout the annual life cycle. These different reflective properties can be seen by the naked eye (as in the accompanying seasonal photographs), and can also be seen by satellite sensors. Current Tamarisk infestations and suitable habitats for future growth can be derived from various data sets, including EVI, NDVI, and land cover classifications. || ", "hits": 10 }, { "id": 3296, "url": "https://svs.gsfc.nasa.gov/3296/", "result_type": "Visualization", "release_date": "2006-01-30T12:00:00-05:00", "title": "Habitat Suitability for Tamarisk Invasion in the State of Utah", "description": "The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of Utah. Tamarisk spreads quickly along riverbeds and when it sheds its leaves, this foliage secretes salt on the soil, which hinders other plant growth. Red indicates areas that are highly suitable for Tamarisk. Yellow indicates areas which are less suitable, and gray are areas which are not suitable. || ", "hits": 10 }, { "id": 3238, "url": "https://svs.gsfc.nasa.gov/3238/", "result_type": "Visualization", "release_date": "2005-12-15T00:00:00-05:00", "title": "Progression of Hurricane Katrina, 2005 (WMS)", "description": "Low earth-orbiting satellites, such as Aqua and Terra, usually see any place on Earth no more than once a day. This sequence of color images from the MODIS instruments on Aqua and Terra shows the progression of Hurricane Katrina, from August 24 to August 31, 2005, whenever one of the two instruments captured the hurricane. || ", "hits": 22 }, { "id": 3305, "url": "https://svs.gsfc.nasa.gov/3305/", "result_type": "Visualization", "release_date": "2005-11-10T00:00:00-05:00", "title": "McMurdo Sound Flows Easy", "description": "The B-15A iceberg has finally moved out of the McMurdo Sound. With this clog gone, the sea ice is now able to circulate freely and it opens up the feeding grounds to the wildlife. || ", "hits": 16 }, { "id": 3302, "url": "https://svs.gsfc.nasa.gov/3302/", "result_type": "Visualization", "release_date": "2005-11-05T00:00:00-05:00", "title": "Hurricane Wilma MODIS Progression", "description": "A progression of Hurricane Wilma from 10/19/05 to 10/25/05 using Aqua/MODIS, Terra/MODIS and NOAA/GOES data. Hurricane Wilma followed in the wake of Hurricane Katrina and Hurricane Rita through the Gulf of Mexico. || ", "hits": 56 }, { "id": 3255, "url": "https://svs.gsfc.nasa.gov/3255/", "result_type": "Visualization", "release_date": "2005-10-05T00:00:00-04:00", "title": "Aqua MODIS Imagery of Hurricane Katrina (WMS)", "description": "Low earth-orbiting satellites, such as Aqua, usually see any place on Earth no more than once a day. This daily sequence of color images from the MODIS instrument on Aqua shows the Gulf of Mexico during the period of Hurricane Katrina, from August 23 to August 30, 2005. The gaps in the MODIS imagery occur between successive orbits, about 90 minutes apart, and are filled in in this animation using high-resolution visible imagery from GOES-12. || ", "hits": 25 }, { "id": 3265, "url": "https://svs.gsfc.nasa.gov/3265/", "result_type": "Visualization", "release_date": "2005-09-30T00:00:00-04:00", "title": "Hurricane Rita MODIS Progression", "description": "A progression of Hurricane Rita from 9/19/05 to 9/24/05 using Aqua/MODIS and NOAA/GOES data. Hurricane Rita followed in the wake of Hurricane Katrina, through the Gulf of Mexico, threatening Louisiana residents yet again. Although the city of New Orleans was mostly spared from this second Gulf hurricane, large areas of rural Texas and Louisiana were flooded. || ", "hits": 35 }, { "id": 3246, "url": "https://svs.gsfc.nasa.gov/3246/", "result_type": "Visualization", "release_date": "2005-09-19T00:00:00-04:00", "title": "Hurricane Ophelia", "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on both the Aqua and Terra satellites captured images of Ophelia hanging off the coast of the Carolinas. || ", "hits": 20 }, { "id": 3224, "url": "https://svs.gsfc.nasa.gov/3224/", "result_type": "Visualization", "release_date": "2005-09-01T00:00:00-04:00", "title": "Hurricane Katrina Progression", "description": "Hurricane Katrina progression is observed by the Aqua and Terra satellites. Katrina hit land on August 29, 2005, near the Louisiana-Mississippi border. Katrina's center was located near the mouth of the Pearl River about 40-45 miles west-southwest of Biloxi, Mississippi and about 30-35 miles east-northeast of New Orleans, Louisiana. Katrina is the eleventh named storm of the 2005 Atlantic Hurricane season. || ", "hits": 59 }, { "id": 3200, "url": "https://svs.gsfc.nasa.gov/3200/", "result_type": "Visualization", "release_date": "2005-07-26T00:00:00-04:00", "title": "Progression of Hurricane Emily, 2005 (WMS)", "description": "Emily was a record-setting storm for many reasons. When it formed on July 11, Emily became the earliest fifth named storm on record. As it moved through the Caribbean, Emily intensified into a powerful Category 4 storm with winds over 250 kilometers per hour (150 mph) and gusts as high as 300 kilometers per hour (184 mph), making it the most powerful storm to form before August. The previous record was set by Hurricane Dennis, which ripped through the Caribbean during the first week of July 2005. Emily's Category 4 status also made 2005 the only year to produce two Category 4 storms before the end of July. || ", "hits": 43 }, { "id": 3194, "url": "https://svs.gsfc.nasa.gov/3194/", "result_type": "Visualization", "release_date": "2005-07-18T00:00:00-04:00", "title": "Progression of Hurricane Dennis, 2005 (WMS)", "description": "The formation of Hurricane Dennis on July 5 made that the earliest date on record that four named storms formed in the Atlantic basin. Dennis proved to be a powerful and destructive storm in the Caribbean Sea and the Gulf of Mexico. It crossed over Cuba on July 8 and 9, leaving at least 10 dead, and caused additional deaths in Haiti. After re-emerging over open water, Dennis re-strengthened into a dangerous Category 4 hurricane with top wind speeds of 233 kilometers per hour (145 mph). The storm passed within 90 kilometers (55 miles) of Pensacola, Florida, and hit land about 80 kilometers (50 miles) east of where Hurricane Ivan struck in September, 2004. A large storm surge of more than 10 feet was created in certain areas, and many homes and businesses in low-lying areas were flooded. || ", "hits": 142 }, { "id": 3158, "url": "https://svs.gsfc.nasa.gov/3158/", "result_type": "Visualization", "release_date": "2005-05-18T12:00:00-04:00", "title": "Progression of Hurricane Fabian, 2003 (WMS)", "description": "Hurricane Fabian threatened the Eastern Coast of the United States before it turned northward and hit the island of Bermuda instead. Fabian came within 50 miles to the west of Bermuda on September 5th, 2003, with sustained winds of 117 miles per hour and with gusts of up to 130 miles per hour. || ", "hits": 15 }, { "id": 3153, "url": "https://svs.gsfc.nasa.gov/3153/", "result_type": "Visualization", "release_date": "2005-05-09T12:00:00-04:00", "title": "Progression of Hurricane Charley, 2004 (WMS)", "description": "Hurricane Charley was the first of four hurricanes to hit the United States in 2004. || Image Sequence for Hurricane Charley.This product is available through our Web Map Service. || charley-composite.png (1024x1024) [1.4 MB] || charley.thm.png (80x40) [6.9 KB] || charley-composite_web.jpg (320x320) [19.1 KB] || charley-composite_web_searchweb.jpg (320x180) [91.9 KB] || frames [4.0 KB] || ", "hits": 17 }, { "id": 3151, "url": "https://svs.gsfc.nasa.gov/3151/", "result_type": "Visualization", "release_date": "2005-05-05T12:00:00-04:00", "title": "Progression of Hurricane Ivan, 2004 (WMS)", "description": "Hurricane Ivan was the third hurricane to hit Florida during the 2004 hurricane season. This set of images shows the progression of the hurricane as it approached the Gulf Coast across the Caribbean Sea and the Gulf of Mexico. || Image Sequence for Hurricane Ivan.This product is available through our Web Map Service. || ivan-composite.png (1024x1024) [1.0 MB] || ivan-composite_web.jpg (320x320) [14.2 KB] || frames [4.0 KB] || ", "hits": 11 }, { "id": 3147, "url": "https://svs.gsfc.nasa.gov/3147/", "result_type": "Visualization", "release_date": "2005-04-21T12:00:00-04:00", "title": "Progression of Hurricane Frances, 2004 (WMS)", "description": "Hurricane Frances was the second hurricane to hit Florida during the 2004 hurricane season. This set of images shows the progression of the hurricane as it approached Florida from the Atlantic Ocean. || Image Sequence for Hurricane Frances.This product is available through our Web Map Service. || frances-composite.png (1024x1024) [1.4 MB] || frances-composite_web.jpg (320x320) [18.1 KB] || frames [4.0 KB] || ", "hits": 22 }, { "id": 3139, "url": "https://svs.gsfc.nasa.gov/3139/", "result_type": "Visualization", "release_date": "2005-03-29T12:00:00-05:00", "title": "Hurricane Isabel 2003 Progression Images", "description": "This sequence of images was used to create an animation of the progression of Hurricane Isabel as seen by the MODIS instruments on the Terra and Aqua satellites in September of 2003. || Hurricane Isabel on 2003 Sep 08 13:45 UTC. || all_modis_progression_251.0000.jpg (1280x720) [96.8 KB] || all_modis_progression_251.0000_web.jpg (320x180) [5.2 KB] || all_modis_progression_251.0000.tif (1280x720) [1.0 MB] || ", "hits": 14 }, { "id": 3342, "url": "https://svs.gsfc.nasa.gov/3342/", "result_type": "Visualization", "release_date": "2005-03-17T00:00:00-05:00", "title": "IKONOS and Aqua MODIS Imagery of Southern Great Barrier Reef", "description": "Coral bleaching may be one of the greatest threats to the Great Barrier Reef. Coral bleaching is a stress response that often occurs when the surrounding waters become too warm for the corals. In the stressful situation, the corals expel their brownish zooxanthellae and lose their color. Zooxanthellae are unicellular yellow-brown algae that make it possible for the corals to grow and reproduce quickly enough to create reefs. Without the zooxanthellae, the coral cannot obtain sufficient nourishment. If conditions remain difficult, the corals may die. Major coral bleaching incidents on the Great Barrier Reef in 1998 and 2002 led to widespread death of corals in some areas. Researchers in the Barrier reef of Australia are using NASA's resources to help identify troubled coral. || ", "hits": 61 }, { "id": 3344, "url": "https://svs.gsfc.nasa.gov/3344/", "result_type": "Visualization", "release_date": "2005-03-17T00:00:00-05:00", "title": "Chlorophyll Concentration Shows Oceanographic Patterns in Great Barrier Reef", "description": "Coral bleaching may be one of the greatest threats to the Great Barrier Reef. Coral bleaching is a stress response that often occurs when the surrounding waters become too warm for the corals. In the stressful situation, the corals expel their brownish zooxanthellae and lose their color. Zooxanthellae are unicellular yellow-brown algae that make it possible for the corals to grow and reproduce quickly enough to create reefs. Without the zooxanthellae, the coral cannot obtain sufficient nourishment. If conditions remain difficult, the corals may die. Major coral bleaching incidents on the Great Barrier Reef in 1998 and 2002 led to widespread death of corals in some areas. Researchers in the Barrier reef of Australia are using NASA's resources to help identify troubled coral. || ", "hits": 52 }, { "id": 3035, "url": "https://svs.gsfc.nasa.gov/3035/", "result_type": "Visualization", "release_date": "2005-01-12T12:00:00-05:00", "title": "Progression of Hurricane Jeanne, 2004 (WMS)", "description": "Hurricane Jeanne was the fourth hurricane to hit Florida during the 2004 hurricane season. This set of images shows the progression of the hurricane as it approached Florida from the Atlantic Ocean and the Caribbean Sea. When it hit the Florida coast on September 26, Jeanne was a Category 3 storm with sustained winds near 115 miles per hour. || ", "hits": 14 }, { "id": 3081, "url": "https://svs.gsfc.nasa.gov/3081/", "result_type": "Visualization", "release_date": "2005-01-11T12:00:00-05:00", "title": "Giant Iceberg in McMurdo Sound (WMS)", "description": "Iceberg B-15A, in Antarctica's McMurdo Sound, is as large as Long Island, NY (3,000 square kilometers or 1,200 square miles) and is the largest fragment of a much larger iceberg that broke away from the Ross Ice Shelf in March 2000. Iceberg B-15A has trapped sea ice in McMurdo Sound, and the ice build-up presents significant problems for Antarctic penguins, which must now swim great distances to reach open waters and food. These images were taken by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on NASA's Aqua and Terra satellites between 2004-11-09 and 2005-01-17. || ", "hits": 21 }, { "id": 3021, "url": "https://svs.gsfc.nasa.gov/3021/", "result_type": "Visualization", "release_date": "2004-09-27T12:00:00-04:00", "title": "Hurricane Jeanne Crashes into Florida", "description": "With the help of NASA's Aqua and Terra satellites, we get ring-side seats of Hurricane Jeanne traversing across Florida. || ", "hits": 13 }, { "id": 3018, "url": "https://svs.gsfc.nasa.gov/3018/", "result_type": "Visualization", "release_date": "2004-09-24T12:00:00-04:00", "title": "A Fixed View of Hurricane Jeanne's Progression", "description": "After days of hammering Haiti, Hurricane Jeanne heads towards the United States. || ", "hits": 18 }, { "id": 3019, "url": "https://svs.gsfc.nasa.gov/3019/", "result_type": "Visualization", "release_date": "2004-09-24T12:00:00-04:00", "title": "Hurricane Jeanne's Progression with a Fixed View", "description": "Hurricane Jeanne is inching ever closer to Florida. Jeanne will make the fourth hurricane to hit Florida this year. || ", "hits": 15 }, { "id": 3015, "url": "https://svs.gsfc.nasa.gov/3015/", "result_type": "Visualization", "release_date": "2004-09-22T12:00:00-04:00", "title": "A Fixed View of Hurricane Ivan", "description": "Showing the progression of Hurricane Ivan, with the help of both Terra and Aqua satellites. || ", "hits": 18 }, { "id": 3007, "url": "https://svs.gsfc.nasa.gov/3007/", "result_type": "Visualization", "release_date": "2004-09-14T12:00:00-04:00", "title": "Hurricane Ivan Progression as Seen by MODIS September 9-14, 2004", "description": "Hurricane Ivan barrels across the Caribbean and heads toward the United States Gulf Coast. || This is a fixed view of Hurricane Ivan as it barrels across the Carribean Sea. || ivan_progression.0010.jpg (720x486) [32.9 KB] || a003007_320x240_pre.jpg (320x240) [5.7 KB] || a003007_640x480.webmhd.webm (960x540) [1.2 MB] || 720x486_4x3_29.97p (720x486) [32.0 KB] || a003007_640x480.mpg (640x480) [8.0 MB] || a003007_320x240.mpg (320x240) [2.1 MB] || ", "hits": 15 }, { "id": 3005, "url": "https://svs.gsfc.nasa.gov/3005/", "result_type": "Visualization", "release_date": "2004-09-13T12:00:00-04:00", "title": "Hurricane Ivan Progression", "description": "Closely watching Hurricane Ivan and its path. On September 13, 2004 Ivan is heading towards Cuba. || ", "hits": 25 }, { "id": 3006, "url": "https://svs.gsfc.nasa.gov/3006/", "result_type": "Visualization", "release_date": "2004-09-13T12:00:00-04:00", "title": "Hurricane Ivan Progression with Fixed View", "description": "A fixed view of Hurricane Ivan's path. || ", "hits": 25 }, { "id": 3003, "url": "https://svs.gsfc.nasa.gov/3003/", "result_type": "Visualization", "release_date": "2004-09-10T12:00:00-04:00", "title": "Hurricane Ivan Heads Towards Jamaica", "description": "Hurricane Ivan, a category 5 hurricane makes its way towards Jamaica, while scientist predict that its track will head towards Florida, making Ivan the third hurricane to hit the state within a month. || ", "hits": 22 }, { "id": 2994, "url": "https://svs.gsfc.nasa.gov/2994/", "result_type": "Visualization", "release_date": "2004-09-08T12:00:00-04:00", "title": "Flying Along with Hurricane Frances", "description": "Two Earth Observing Fleet Satellites, Aqua and Terra have been monitoring the progress of Hurricane Frances. || ", "hits": 17 }, { "id": 2992, "url": "https://svs.gsfc.nasa.gov/2992/", "result_type": "Visualization", "release_date": "2004-09-07T12:00:00-04:00", "title": "Hurricane Frances Progression with a Fixed View", "description": "A fixed view of the Atlantic Ocean with Hurricane Frances sprinting towards Florida || ", "hits": 10 }, { "id": 2993, "url": "https://svs.gsfc.nasa.gov/2993/", "result_type": "Visualization", "release_date": "2004-09-07T12:00:00-04:00", "title": "Up on Deck, Hurricane Ivan", "description": "From space, the Aqua satellite has a bird's eye view of Hurricane Ivan. This data was gathered on the September 5, 2004. At that time, Ivan was off the coast of Brazil. || ", "hits": 13 }, { "id": 2977, "url": "https://svs.gsfc.nasa.gov/2977/", "result_type": "Visualization", "release_date": "2004-09-03T12:00:00-04:00", "title": "Hurricane Frances Progression with Fixed View", "description": "Hurricane Frances races towards Florida and both the Terra and Aqua satellite are spectators. || ", "hits": 22 }, { "id": 2979, "url": "https://svs.gsfc.nasa.gov/2979/", "result_type": "Visualization", "release_date": "2004-09-03T12:00:00-04:00", "title": "Mississippi Dead Zone", "description": "Recent reports indicate that the large region of low oxygen water often referred to as the 'Dead Zone' has spread across nearly 5,800 square miles of the Gulf of Mexico again in what appears to be an annual event. NASA satellites monitor the health of the oceans and spots the conditions that lead to a dead zone. These images show how ocean color changes from winter to summer in the Gulf of Mexico. Summertime satellite observations of ocean color from MODIS Aqua show highly turbid waters which may include large blooms of phytoplankton extending from the mouth of the Mississippi River all the way to the Texas coast. When these blooms die and sink to the bottom, bacterial decomposition strips oxygen from the surrounding water, creating an environment very difficult for marine life to survive in. Reds and oranges represent high concentrations of phytoplankton and river sediment. The National Oceanic and Atmospheric Administration (NOAA) ships measured low oxygen water in the same location as the highly turbid water in the satellite images. Most studies indicate that fertilizers and runoff from human sources is one of the major stresses impacting coastal ecosystems. In the third image using NOAA data, reds and oranges represent low oxygen concentrations. || ", "hits": 103 }, { "id": 2974, "url": "https://svs.gsfc.nasa.gov/2974/", "result_type": "Visualization", "release_date": "2004-09-01T12:00:00-04:00", "title": "Hurricane Frances Progression", "description": "NASA satellites are keeping an eye on Hurricane Frances journey across the Atlantic Ocean. MODIS Instrument on board NASA's Aqua and Terra satellites captured a series of high resolution images of Hurricane Frances. || ", "hits": 19 }, { "id": 2972, "url": "https://svs.gsfc.nasa.gov/2972/", "result_type": "Visualization", "release_date": "2004-08-19T12:00:00-04:00", "title": "Fires Ravage Parts of Alaska and Canada", "description": "Alaska and Canada both suffered multi-fire damage. On June 29, 2004, these smoke plumes were detected from space by the Aqua satellite. || ", "hits": 17 }, { "id": 2965, "url": "https://svs.gsfc.nasa.gov/2965/", "result_type": "Visualization", "release_date": "2004-07-16T12:00:00-04:00", "title": "Fires and Smoke Across Alaska and Canada", "description": "Alaska suffered from fire and smoke that can be seen from space. The Aqua satellite captured this breathtaking image on 29 June 2004. || ", "hits": 27 }, { "id": 2951, "url": "https://svs.gsfc.nasa.gov/2951/", "result_type": "Visualization", "release_date": "2004-05-27T12:00:00-04:00", "title": "Super Typhoon Nida", "description": "The MODIS instrument onboard NASA's Aqua and Terra satellites captured this sequence of true-color images of Super Typhoon Nida churning through the Philippine Islands. Packing winds up tof 100 mph and gusts of 122 mph, and caused floods and landslides. Nida has been responsible for at least six deaths in the Philippines and has displaced thousands as it skirted the eastern part of the country before moving towards southern Japan. || ", "hits": 35 }, { "id": 2919, "url": "https://svs.gsfc.nasa.gov/2919/", "result_type": "Visualization", "release_date": "2004-03-03T12:00:00-05:00", "title": "Progression of Hurricane Isabel, 2003 (WMS)", "description": "This sequence of images was used to create an animation of the progression of Hurricane Isabel as seen by MODIS. || Hurricane Isabel Frame Sequence.This product is available through our Web Map Service. || isabel-composite.png (1024x1024) [1.4 MB] || Isabel.A2003261.1555.250m-thm.png (80x40) [6.2 KB] || isabel-composite_web.jpg (320x320) [18.3 KB] || isabel-composite_web_searchweb.jpg (320x180) [94.2 KB] || frames [4.0 KB] || ", "hits": 25 }, { "id": 2858, "url": "https://svs.gsfc.nasa.gov/2858/", "result_type": "Visualization", "release_date": "2003-11-24T12:00:00-05:00", "title": "California Fires MODIS imagery and TOMS Aerosols from October 2003", "description": "This animation sequences through the MODIS imagery of the devastating Californian fires from October 23, 2003 through October 29, 2003. Then the animation resets to October 23, 2003 and zooms out to see the TOMS aerosol sequence. It clearly shows that the California fires had an impact on air quality as far east as Maine. || ", "hits": 13 }, { "id": 2852, "url": "https://svs.gsfc.nasa.gov/2852/", "result_type": "Visualization", "release_date": "2003-11-06T12:00:00-05:00", "title": "2003 California Fire Sequence as Seen by MODIS", "description": "This visualization shows the progression of the southern California fires of October 2003. Visible MODIS imagery from Aqua and Terra are used as well as thermal data to show fire locations. Active fires for particular days are shown in red, fires that are no longer active are shown in black (highlighting the 'burn scar'). || ", "hits": 9 }, { "id": 20001, "url": "https://svs.gsfc.nasa.gov/20001/", "result_type": "Animation", "release_date": "2003-11-03T12:00:00-05:00", "title": "Sensor Web: Smart Satellites", "description": "Smart Satellites Get a Closer Look - Along with semi-autonomous advancements in the RapidFire system, NASA is testing new integration techniques with the EO-1 spacecraft and its cutting edge ALI instrument. It works like this: when MODIS spots an area on the ground that may indicate fire, advanced software puts out an alert. That message essentially instructs ALI to point itself towards the zone of interest and get a close-up. If the resulting picture from this orbital dance shows risk for fire, the system can alert experts and officials to take action on the ground. The whole process is automated. That makes the observations and analysis fast, and in terms of fire management, speed counts. A system like this has the potential to greatly accelerate notification of potential trouble spots before they can get out of hand. || ", "hits": 19 }, { "id": 2844, "url": "https://svs.gsfc.nasa.gov/2844/", "result_type": "Visualization", "release_date": "2003-10-28T12:00:00-05:00", "title": "Southern California Fires, October 27, 2003", "description": "This visualization shows the Southern California and Mexican fires as seen by Aqua/MODIS on October 27, 2003. || ", "hits": 10 }, { "id": 2845, "url": "https://svs.gsfc.nasa.gov/2845/", "result_type": "Visualization", "release_date": "2003-10-28T12:00:00-05:00", "title": "Southern California Fires, October 27, 2003 (Fire Pixels Included)", "description": "This visualization shows the Southern California and Mexican fires as seen by Aqua/MODIS on October 27, 2003. This version included red fire pixels to display each incident fire. || ", "hits": 17 }, { "id": 2838, "url": "https://svs.gsfc.nasa.gov/2838/", "result_type": "Visualization", "release_date": "2003-10-23T12:00:00-04:00", "title": "Iceberg B-15A: Sample Composite", "description": "A 100 mile long iceberg, named B-15A, cracked in two between October 7th and 9th, 2003. B-15A broke off Antarctica's Ross Ice Shelf in 2000. Since its calving in 2000, it has made delivery of fuel and supplies to McMurdo Station difficult. || ", "hits": 20 } ] }