Using elevation data from stereo satellite observations, David Shean is mapping the retreat of some 1,200 mountain glaciers in the continental United States. “Until recently, glaciers in the United States have been measured in two ways: placing stakes in the snow, as federal scientists have done each year since 1957 at South Cascade Glacier in Washington state; or tracking glacier area using photographs from airplanes and satellites.” Shean’s method, which measures each glacier twice a year and uses automated software to track changes, seems to cover a lot more territory. [GIS and Science]
This NOAA article looks at three kinds of imagery provided by the GOES-16 geostationary weather satellite: GeoColor, the Geostationary Lightning Mapper (!), and full disk infrared imagery from the Advanced Baseline Imager. GOES-16 launched last November and is currently in the checkout phase before it replaces GOES-13 at 75° west latitude.
NASA Earth Observatory notes the release of a new map of global landslide susceptibility that models the risks of landslides that are triggered by heavy rain. “The map is part of a broader effort to establish a hazards monitoring system that combines satellite observations of rainfall from the Global Precipitation Measurement (GPM) mission with an assessment of the underlying susceptibility of terrain.” [Geographical]
NASA Earth Observatory: “Clouds may seem like distant, ephemeral features that have little to do with life on Earth. In fact, they affect everything from the viability of ecosystems, to how much carbon plants absorb, to the reproductive success of reptiles. So by mapping clouds, new research shows, scientists can indirectly map life.”
Jason-3 is the latest earth observation satellite tasked with measuring global sea surface height; its data will be used in weather and climate research (e.g., El Niño, climate change). Launched on January 17, it’s now in its six-month checkout phase and has produced its first complete map, which corresponds well with the map produced by the still-operational Jason-2 satellite, so that’s a good sign. [via]
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Lake Poopó has become the Aral Sea of the Andes. Thanks to drought, water diversion and mining activity, the lake—long, wide, shallow, saline and the second-largest in Bolivia—has basically dried up, as this comparison of 2013 and 2016 Landsat 8 images demonstrates. CBC News, The Independent.
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These two Landsat images illustrate the extent of flooding along the Wabash and Illinois Rivers at the end of last year, as 6-10 inches of rain fell over the midwestern United States. The image from 8 December 2015, above left, shows normal water levels; the image from 1 January 2016, above right, shows the rivers in flood. Use the slider to compare the two views. Original image. [via]
Clouds swirl across the Pacific Ocean in this time lapse. The data is from Himawari-8, a Japanese weather satellite in geostationary orbit over New Guinea. Every 10 minutes, it photographs the hemisphere below it. This animation is a loop of yesterday’s images. Strong winds head from East Asia, in the upper left, toward Alaska, hidden by clouds in the upper right. Australia is in the bottom center, with the edge of the Antarctic ice sheet below it and tropic storm Ula to its right. The reflection of the sun on smooth water, called sunglint, moves east to west across the Pacific just south of the Equator. At this time of year – the Southern Hemisphere’s summer – the North Pole is never sunlit, but the South Pole always is.
Scientists have been tracking seasonal freeze-thaw patterns for 30 years. This map, produced from data collected by NASA’s Soil Moisture Active Passive satellite, “shows the freeze-thaw status of areas north of 45 degrees latitude on March 5, 2015, as spring approached. Frozen land is blue; thawed land is pink. The measurement is possible because frozen water forms crystalline structures that can be detected by satellites.” NASA Earth Observatory.
Today NASA released a set of vegetation maps based on data from the Suomi NPP satellite. Flickr photoset, YouTube video. The maps depict a year’s worth of changes in vegetation. “High values of Normalized Difference Vegetation Index, or NDVI, represent dense green functioning vegetation and low NDVI values represent sparse green vegetation or vegetation under stress from limiting conditions, such as drought.” Image credit: NASA/