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The Needles District in Canyonlands National Park, Utah, is known for its well-exposed array of extensional faults, which are thought to be produced by gravity-driven extension and downward flexure of a thin sandstone plate into the Colorado River canyon in response to dissolution and flow of underlying evaporites (halite and gypsum). Owing to a lack of precise geodetic data, however, it remains uncertain if and to what extent those extensional faults are currently deforming. In this study we use synthetic aperture radar (SAR) data to search for ongoing, decadal ground displacements, by applying both a stacking interferometric SAR (InSAR) analysis and Interferometric Point Target Analysis (IPTA). Our results show...
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This data release contains four GIS shapefiles, one Google Earth kmz file, and five metadata files that summarize results from Interferometric Synthetic Aperture Radar (InSAR) analyses in the Glacier Bay region of Alaska and British Columbia. The principal shapefile (Moving_Ground) and the kmz file (GBRegionMovingGround) contain polygons delineating slow-moving (0.5-6 cm/year in the radar line-of-sight direction) landslides and subsiding fan deltas in the region. Landslides and fan deltas were identified from displacement signals captured by InSAR interferograms of Sentinel-1 C-band Synthetic Aperture Radar images. The images were acquired at 12-day intervals from June to October from 2018 to 2020. We applied the...
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Extensive groundwater withdrawal from the unconsolidated deposits in the San Joaquin Valley caused widespread aquifer-system compaction and resultant land subsidence from 1926 to 1970—locally exceeding 8.5 meters. The importation of surface water beginning in the early 1950s through the Delta-Mendota Canal and in the early 1970s through the California Aqueduct resulted in decreased groundwater pumping, recovery of water levels, and a reduced rate of compaction in some areas of the San Joaquin Valley. However, drought conditions during 1976–77, 1987–92, and drought conditions and operational reductions in surface-water deliveries during 2007–10 decreased surface-water availability, causing pumping to increase, water...
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We performed a ground-based, interferometric, synthetic aperture radar (InSAR) survey of the Slumgullion landslide located in Hinsdale County, Colorado. The survey was performed 26 June 2010-1 July 2010 and utilized the IBIS-L InSAR system developed by IDS Corporation. Radar measurements were supplemented by hourly in-situ displacement, pore-water pressure, and rainfall measurements. In-situ displacement was measured using electronic cable extension transducers (extensometers) at three locations and GPS surveying at one location. Pore-water pressures were measured at three locations using electronic vibrating-wire pressure transducers (piezometers). Rainfall was measured at one location using a tipping-bucket rain...
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Synthetic aperture radar (SAR) data from the European Space Agency's (ESA) Sentinel-1A satellite were acquired for this study from the Alaska Satellite Facility and used to generate spatially detailed land-surface deformation maps (interferograms) for the Pajaro Valley during 2015 through 2018 using conventional Interferometric Synthetic Aperture Radar (InSAR) workflows.
Synthetic aperture radar (SAR) data from the European Space Agency's (ESA) Sentinel-1A satellite were acquired for this study from the Alaska Satellite Facility (ASF) and used to generate spatially detailed land-surface deformation maps (interferograms) for the Mojave River and Morongo groundwater basins during 2014–19 using InSAR methods.
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This interactive map was designed to view known public-domain elevation datasets (LiDAR and InSAR) in Alaska. The map offers zoom and scroll options, and multiple base map layers. We provide an easy point and click interface to show data originators and, when available, a link to download the digital data. Users are also able to bookmark and share areas of interest. DGGS is actively developing a comprehensive repository of Alaska's public-domain elevation data. The application will be periodically updated to incorporate our complete collection.
The Needles District in Canyonlands National Park, Utah, is known for its well-exposed array of extensional faults, which are thought to be produced by gravity-driven extension and downward flexure of a thin sandstone plate into the Colorado River canyon in response to dissolution and flow of underlying evaporites (halite and gypsum). Owing to a lack of precise geodetic data, however, it remains uncertain if and to what extent those extensional faults are currently deforming. In this study we use synthetic aperture radar (SAR) data to search for ongoing, decadal ground displacements, by applying both a stacking interferometric SAR (InSAR) analysis and Interferometric Point Target Analysis (IPTA). Our results show...
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The data set consists of twenty-four individual interferograms and two stacked interferograms. Of the twenty-four individual interferograms, two interferograms were processed from synthetic aperture radar data acquired by the German Aerospace Center’s (DLR) TerraSAR-X satellite and twenty-two interferograms were processed from synthetic aperture radar data acquired by the European Space Agency’s (ESA) Sentinel-1A satellite. The two stacked interferograms were created by summing multiple individual interferograms. Radar data used to produce the interferograms shown in this report were obtained from the European Space Agency through their free and open data policy and the German Aerospace Center through research proposal...
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GPS data collection: GPS measurements were taken at 24 geodetic monuments during September 27-October 2, 2015. The GPS surveys generally followed established guidelines (Zilkoski and others, 1997), except that the data were processed with single-baseline, rather than multi-baseline, software. GPS measurements were recorded at the monuments on at least 2 different days during 1-hour observation periods. Of the 24 geodetic monuments, 7 were network control stations—DUNE, COCH, DEEP, CAHU, PAIN, C101, and G70; GPS measurements were recorded at these seven stations on 3 additional days during 6.5-hour (or longer) observation periods. InSAR data collection: The data set consists of twenty-four individual interferograms...


    map background search result map search result map Data related to a ground-based InSAR survey of the Slumgullion landslide, Hinsdale County, Colorado, 26 June 2010-1 July 2010 Elevation Datasets of Alaska Global Positioning System Survey data for 2015, and Interferometric Synthetic Aperture Radar Data for 1995-2017, Coachella Valley, Riverside County, California Interferometric Synthetic Aperture Radar Data for 1995-2017 Interferometric Synthetic Aperture Radar Data, Mojave River and Morongo Groundwater Basins, Southwestern Mojave Desert, California, 2014-19 Interferometric Synthetic Aperture Radar Data, Pajaro Valley, Santa Cruz and Monterey Counties, California, 2015-18 Slow-moving landslides and subsiding fan deltas mapped from Sentinel-1 InSAR in the Glacier Bay region, Alaska and British Columbia, 2018-2020 Interferometric Synthetic Aperture Radar-Derived Subsidence Contours for the West-Central San Joaquin Valley, California, 2008-10 Data related to a ground-based InSAR survey of the Slumgullion landslide, Hinsdale County, Colorado, 26 June 2010-1 July 2010 Interferometric Synthetic Aperture Radar Data, Pajaro Valley, Santa Cruz and Monterey Counties, California, 2015-18 Global Positioning System Survey data for 2015, and Interferometric Synthetic Aperture Radar Data for 1995-2017, Coachella Valley, Riverside County, California Interferometric Synthetic Aperture Radar Data for 1995-2017 Interferometric Synthetic Aperture Radar Data, Mojave River and Morongo Groundwater Basins, Southwestern Mojave Desert, California, 2014-19 Interferometric Synthetic Aperture Radar-Derived Subsidence Contours for the West-Central San Joaquin Valley, California, 2008-10 Slow-moving landslides and subsiding fan deltas mapped from Sentinel-1 InSAR in the Glacier Bay region, Alaska and British Columbia, 2018-2020 Elevation Datasets of Alaska