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We produced a time series of maps of habitat structure within wetlands of the Central Valley of California. The structure of open water and tall emergent vegetation, such as Typha spp. and Schoenoplectus spp., is critical for migratory birds. Through field observation and digitization of high resolution imagery we identified the locations of tall emergent vegetation, water, and other land cover. Using a random forest classification, we classified multispectral Landsat 8 imagery 2013-2017. We used images from the fall when most wetlands are flooded and the summer to separate trees and tall emergent vegetation. The final maps show the distribution and extent of tall emergent vegetation within wetlands. Final time...
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These polygon features represent the maximum extent of the 37 named glaciers in Glacier National Park and two glaciers on U.S. Forest Service’s Flathead National Forest land during the peak of the Little Ice Age (mid-nineteenth century). Glacial margins are based on moraine deposits that result from active glaciation, and do not depict perennial snow and ice. Moraines were digitized based on WorldView imagery acquired on the following dates: 20141019, 20150822, 20150912, 20150925, 20160821, 20160915 (World View 01 and World View 03 satellites). High resolution imagery was supplemented with oblique aerial photographs flown in 2009 and 2016, historic photographs from the USGS photograph collection, and field notes...
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These polygon features represent digitization of the glacier margins for the 37 named glaciers of Glacier National Park (GNP) and two glaciers on U.S. Forest Service’s Flathead National Forest land, derived from 2015 satellite imagery. The polygons represent only the main body portion of each glacier as it appeared in 2015 satellite imagery. Disconnected patches are not included as this dataset represents only the main body features of the named glaciers in GNP and environs. Polygons were digitized from WorldView imagery acquired on the following source dates: 20150822, 20150912, 20150915, 20150925 (World View 01 satellite). Initial digitization was completed by Melissa Brett, PSU graduate student. This set of polygons...
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This layer depicts the status, or degree of disturbance, to plant communities on the main Hawaiian Islands. Several layers were uset to create this version (v 3.4). The original HabQual layer was developed by Jon Price and Jim Jacobi based on the mapped land cover units from the Hawaii GAP analysis program (Gon et al. 2006). This map was revised by combining data on land use and the “Bare” category from the NOAA C-CAP 2005 map (NOAA National Ocean Service Coastal Services Center 2012), and adding road corridors to the heavily disturbed category based on the Tiger Roads layer (United States Census Bureau 2014). Additionally, corrections were made to this version of the map by visually inspecting previously mapped...
Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform, aspect, etc.) to model natural and semi-natural vegetation. Landcover classes are drawn from NatureServe's Ecological System concept, with 109 of the 125 total classes mapped at the system level. For the majority of classes, a decision tree classifier was used to discriminate landcover types, while a minority of classes (e.g. urban classes, sand dunes, burn scars, etc.) were mapped using other techniques. Twenty mapping areas, each characterized by similar ecological and spectral characteristics, were modeled independently of one another. These mapping...
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These data were compiled to provide satellite remote sensing observations of landcover in the vicinity of wetlands fed by geothermal springs in Dixie Meadows, Nevada, USA. Objectives of the study were to map landcover of water, vegetation, and soil between October 5, 2015, and January 21, 2022, using available imagery from the Sentinel-2 mission. The U.S. Geological Survey's Southwest Biological Science Center (SBSC) and Grand Canyon Monitoring and Research Center (GCMRC) processed 110 Sentinel-2 satellite images representing bottom of atmosphere surface reflectance and classified them within Google Earth Engine (GEE) using threshold values of the Green Normalized Difference Vegetation Index (gNDVI) and its inverse...
Categories: Data; Tags: Bureau of Land Management Lands, Churchill County, Department of Defense Lands, Dixie Meadows, Dixie Valley, All tags...
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Landsat -1 image showing the Mississippi and Ohio Rivers and their junction. Kentucky and Barkley lakes visible at right: (Landsat image 1124-16061, band 7) Illinois, Kentucky and Missouri. November 24, 1972. Photograph on page 50, Images of the U.S. Geological Survey, 1879-1979.
Categories: Image; Tags: photo print, satellite imagery
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Scientists at the Institute of Desert Research, Lanzhou, examine Landsat images as a potential tool for monitoring arid-land reclamation techniques. People's Republic of China. Circa 1980. (Photo by Alta Walker) Published in U.S. Geological Survey Yearbook as Figure B, p. 97. 1980.
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This Satellite Image covers the McMurdo Dry Valleys as well as portions of the Royal Society and Convoy Ranges of Antarctica. Two Digital Elevation Models were created to match the image coverage. They have 30 and 100-meter post spacing.
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USGS Public Affairs Office release information: Mount St. Helens from Space, Before and After. False color Landsat satellite images of Washington state's Mount St. Helens volcano taken before (left - September 11, 1979) and after (right - August 19, 1980) the cataclysmic eruption of May 18, 1980, clearly show some of the damage and surface effects of the eruption, according to the U.S. Geological Survey. In these false color images, healthy vegetation appears red and sediment-free streams or lakes appear very dark blue. In the "before" image, Mount St. Helens is the white, snow-capped feature near the center of the image. Spirit Lake is the "U"-shaped dark blue water body just north of the volcano, Swift Reservoir...
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Album caption: MSH-Branch of Exhibits no. 29cp: Satellite imagery showing parts of the Copper River, Southwestern Alaska and Aleutian regions. The following peaks and volcanoes are identified: Iliamma, Augustine, Douglas, Fourpeaked, Kaguyak, Devils Desk, Kukak, Stellar, Denison, Snow, Mt. Griggs (Knife Peak), Novarupta, Mageik, Trident, Martin, Peulik (Ugashik Caldera), Kialagvik, Chiginigak, Anikchak, Black (Purple), Veniaminof, Kupreanof, Dana, Pavlof Sister, Pavlof, Double Crater, Hague, Emmons, Amak, Dutton, Frosty, Walrus (Morzhovoi), Roundtop, Isanotski, Shishaldin, Fisher, Westdahl, Pogramni, Mt. Gilbert (Akun), and Akutan. Copper River, Southwestern Alaska, and Aleutian regions, Alaska. n.d. (Same as USGS...
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While there have been many maps produced that depict vegetation for the state of Hawai‘i only a few of these display land cover for all of the main Hawaiian Islands, and most of those that were created before the year 2000 have very generalized units or are somewhat inaccurate as a result of more recent land use changes or due to poor resolution (both spatial and spectral) in the imagery that was used to produce the map. Some of the more detailed and accurate maps include the Hawai‘i GAP Analysis (HI-GAP) Land Cover map (Gon et al. 2006), the NOAA C-CAP Land Cover map (NOAA National Ocean Service Coastal Services Center 2012), and the more recently released Hawai‘i LANDFIRE EVT Land Cover map (U.S. Geological Survey...
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Album caption and index card: Black and white print of color Landsat image showing the extent of the flood plain in the Apalachicola River Basin, The dark color of the flood plain is caused by the low reflectance from flood waters. The 200-m wide river is barely visible in the center of the 3.2 to 8.0 -km-wide flood plain. The Apalachicola River flows from Lake Seminole (at the top), 171 km south, to Apalachicola Bay (near bottom of the scene). The numerous white squares near the large red area east of the river is pine forest (Apalachicola National Forest). The faint brown color on the birdsfoot delta at the river mouth is marsh. The light blue colors near the beaches at the bottom of the scene are a combination...
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These polygon features represent the maximum extent of glaciers in Glacier National Park and two glaciers on U.S. Forest Service’s Flathead National Forest land during the peak of the Little Ice Age (mid-nineteenth century). Glacial margins are based on moraine deposits that result from active glaciation, and do not depict perennial snow and ice. The criteria used for determining which moraines constituted a former glacier were a) whether a terminal moraine was present, and b) whether the glacier area was five aces or more. Moraines were digitized based on the best available imagery, including WorldView imagery acquired between 2015 and 2017, border Imagery from the Department of Homeland Security acquired in 2009...
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This study applied historical aerial imagery and satellite imagery to create digital surface models (DSMs) of the Helmand River Valley situated in southwestern Afghanistan. The historical imagery, collected in 1952 by Fairchild Aerial Surveys Incorporated (FAS), at 1:40,000 scale, represents the earliest known aerial photographic archive of the Helmand Valley landscape. Structure-from-motion (SfM) multi-view stereo (MVS) photogrammetric techniques were used together with ground control points collected from high resolution satellite imagery to create a 5m digital elevation model (DEM) and 2m orthoimage. The historical DEM was evaluated for accuracy against a 2006 5m DEM using SPOT-5 HRG satellite imagery which was...
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This data release consists of digitized glacier margins that represent the maximum extent of glaciers in Glacier National Park (GNP) and two glaciers on U.S. Forest Service’s Flathead National Forest land during the peak of the Little Ice Age. Glacier margins are based on moraine deposits that result from active glaciation, and do not depict perennial snow and ice. Moraines are continuous arcuate rock deposits with distinct crests that form at the ice edge of active glaciers. The criteria used for identifying the former size and location of glaciers were a) the presence of a terminal moraine, b) the presence of one or both lateral moraines, and c) whether the identified glacier area was 0.020 km2 (five acres) or...
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These two raster data layers depict the land cover and degree of human disturbance to plant communities on the seven main Hawaiian Islands, and were developed as part of a comprehensive USGS assessment of carbon sequestration potential by natural ecosystems in the State of Hawaii.
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Conclusions: Seismic cutline proportion did not explain landscape use by grizzly bears, but secondary effects of cutlines on landscape structure did. Declining use was mainly associated with increasing proportions of closed forest, and increasing variation of inter-patch distances, while use was mainly increasing with increasing mean patch size. Thresholds/Learnings: Bears appear to use areas more when landscape patches tend to be larger, and mean patch size is generally reduced with additional seismic cutlines. Also, bears appear to use areas more when landscape patches are consistently spaced, and the spacing between landscape patches becomes more variable with additional seismic cutlines. Synopsis: This study...
    map background search result map search result map Seismic cutlines, changing landscape metrics, and grizzly bear landscape use in Alberta Oil Spill in the Gulf of Mexico April 27th-30th 2010 Oil Spill in the Gulf of Mexico April 27th 2010 2015_Glacier margins derived from 2015 satellite imagery for the named glaciers of Glacier National Park, MT and environs Hawaii Land Cover and Habitat Status Carbon Assessment of Hawaii Land Cover Map (CAH_LandCover) Carbon Assessment of Hawaii Habitat Status Map (CAH_HabStatus) Wetland Habitat Structure Maps for the Central Valley of California 2013-2017 A comprehensive inventory of maximum glacial extent in Glacier National Park during the peak of the Little Ice Age A comprehensive inventory of maximum glacial extent in Glacier National Park during the peak of the Little Ice Age Maximum glacial extent of the named glaciers in Glacier National Park during the peak of the Little Ice Age Landsat image showing the extent of the flood plain. Apalachicola River Basin. Florida. 1977. Mount St. Helens from space, before and after the eruption. Skamania County, Washington. 1979 and 1980. Satellite imagery showing parts of the Copper River, Southwestern Alaska and Aleutian regions. Alaska. n.d. Land cover classification data for wetland complexes at Dixie Meadows, Nevada from October 2015 to January 2022 Digital Surface Models of the Kajaki Dam in the Helmand Valley, Afghanistan from 1952 Historical Aerial Photos Land cover classification data for wetland complexes at Dixie Meadows, Nevada from October 2015 to January 2022 Digital Surface Models of the Kajaki Dam in the Helmand Valley, Afghanistan from 1952 Historical Aerial Photos 2015_Glacier margins derived from 2015 satellite imagery for the named glaciers of Glacier National Park, MT and environs Maximum glacial extent of the named glaciers in Glacier National Park during the peak of the Little Ice Age A comprehensive inventory of maximum glacial extent in Glacier National Park during the peak of the Little Ice Age Mount St. Helens from space, before and after the eruption. Skamania County, Washington. 1979 and 1980. A comprehensive inventory of maximum glacial extent in Glacier National Park during the peak of the Little Ice Age Oil Spill in the Gulf of Mexico April 27th 2010 Seismic cutlines, changing landscape metrics, and grizzly bear landscape use in Alberta Oil Spill in the Gulf of Mexico April 27th-30th 2010 Carbon Assessment of Hawaii Land Cover Map (CAH_LandCover) Hawaii Land Cover and Habitat Status Carbon Assessment of Hawaii Habitat Status Map (CAH_HabStatus) Wetland Habitat Structure Maps for the Central Valley of California 2013-2017 Landsat image showing the extent of the flood plain. Apalachicola River Basin. Florida. 1977. Satellite imagery showing parts of the Copper River, Southwestern Alaska and Aleutian regions. Alaska. n.d.