Filters: Tags: Remote Sensing (X)
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This data set provides a polygon shapefile delineating relatively large, slow-moving (4-17 cm/year in the radar line-of-sight direction) landslides in the continental U.S. western coastal states (California, Oregon, and Washington). The polygons also are provided in a Google Earth .kmz file. Delineated landslides were identified from displacement signals captured by InSAR (Interferometric Synthetic Aperture Radar) interferograms of ALOS PALSAR (Advanced Land Observing Satellite; Phased Array type L-band Synthetic Aperture Radar) images between 2007 and 2011, and ALOS-2 PALSAR-2 images between 2015 and 2019. The ALOS PALSAR images utilized cover the three states entirely; the ALOS-2 PALSAR images utilized cover primarily...
Near-surface site characteristics are critical for accurately modeling ground motion, which in turn influences seismic hazard analysis and design of critical infrastructure. Currently, there are many strong motion accelerometers within the Advanced National Seismic System (ANSS) that are missing this information. We use a Geographic Information Systems (GIS) based framework to intersect the site coordinates of approximately 5,500 ANSS accelerometers located throughout the United States and its territories with geology and velocity information. We consider: (1) surficial geology from digitized geologic maps (Horton, 2017; Wilson et al., 2015; Sherrod et al., 2007; Bawiec, 1999; Saucedo, 2005; Bedrossian et al., 2012;...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ANSS,
Alabama,
American Samoa,
Arizona,
Arkansas,
The LCMAP Hawaii Reference Data Product was utilized for evaluation and validation of the Land Change Monitoring, Assessment, and Projection (LCMAP) land cover and land cover change products for Hawaii. The LCMAP Hawaii Reference Data Product includes the collection of an independent dataset of 600 30-meter by 30-meter plots across Hawaii. This dataset was collected via manual image interpretation to aid in validation of the land cover and land cover change products as well as area estimates. The LCMAP Reference Data Product collected variables related to primary and secondary land use, primary and secondary land cover(s), change processes, and other ancillary variables annually across Hawaii from 2000–2019.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: LCMAP,
Land Change Monitoring, Assessment, and Projection,
Land Use Change,
Remote Sensing,
USGS Science Data Catalog (SDC),
The LCMAP Intensification Reference Data Product was utilized for evaluation and validation of the Land Change Monitoring, Assessment, and Projection (LCMAP) land cover and land cover change products. The LCMAP Intensification Reference Data Product includes the collection of an independent dataset of 2,000 30-meter by 30-meter plots selected via stratified random sampling across the conterminous United States (CONUS). This dataset was collected via manual image interpretation to aid in validation of the land cover and land cover change products as well as area estimates. The LCMAP Intensification Reference Data Product collected variables related to primary and secondary land use, primary and secondary land cover(s),...
Categories: Data;
Tags: Conterminous United States (CONUS),
LCMAP,
Land Change Monitoring, Assessment, and Projection,
Land Use Change,
Landsat,
Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
U.S. Geological Survey (USGS) scientists completed a multidisciplinary data collection effort during the week of October 21-25, 2019, using new technologies to map and validate bathymetry over a large stretch of the non-tidal Potomac River. The work was initiated as an effort to validate commercially-acquired topobathymetric light detection and ranging (lidar) data funded through a partnership between the USGS and the Interstate Commission on the Potomac River Basin (ICPRB). The goal was to compare airborne lidar data to bathymetric data collected through more traditional means (boat-based sonar, wading Real Time Kinematic Global Navigational Satellite System (RTK-GNSS) surveys) and through unmanned aerial systems...
This data release contains data used in an associated publication: Petrakis, R.E., Norman, L.M., Vaughn, K., Pritzlaff, R., Weaver, C., Rader, A., and Pulliam, H.R., 2021, Hierarchical Clustering for Paired Watershed Experiments: Case Study in Southeastern Arizona, U.S.A.: Water, v. 13, no. 21, p. 2955, https://doi.org/10.3390/w13212955. The overarching effects and benefits of land management decisions, such as through watershed restoration, are often not fully understood due to a lacking control within an experimental design. This can be addressed through the application of a paired watershed approach, allowing for comparison between treatment and control watersheds. We developed and applied a statistic-based...
This USGS data release represents field surveyed elevation points and source lidar points used to develop an objective method for estimating boundary roughness from publicly available elevation data. Also included is the Python script written to execute a routine to convert a 1 meter digital elevation model into a 1 meter boundary roughness raster. This data set has two separate items: 1. The Supplemental Information used to validate the bare earth surface within a forested floodplain. 2. The Python script and associated ArcGIS toolbox
The geographic information system (GIS) format spatial data set of vegetation for Apostle Islands National Lakeshore (APIS) was created for the National Park Service (NPS) Vegetation Inventory Program (VIP). The APIS covers an area of approximately 28,972 ha (71,591 acres). The map classification scheme used to create the vegetation data set is designed to represent local vegetation types at the finest level possible using the National Vegetation Classification (NVC) Standard (Vr 2). Physiognomic information was also recorded, including height (woody vegetation), canopy density, and coverage patterns. The vegetation data set was developed by interpreting aerial photographs collected in 2004 and extensive field surveys....
This dataset provides early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on May 3rd. We develop and release EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but it also includes number of other species, i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonicus, Bromus madritensis L., Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc., and medusahead (Taeniatherum caput-medusae. The dataset was generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; Harmonized...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Great Basin,
Harmonized Landsat Sentinel,
One of the largest hydraulic mines (1.6 km2) is located in California’s Sierra Nevada within the Humbug Creek watershed and Malakoff Diggins State Historic Park (MDSHP). MDSHP’s denuded and dissected landscape is composed of weathered Eocene auriferous sediments susceptible to chronic rill and gully erosion whereas block failures and debris flows occur in more cohesive terrain. This data release includes a 1992 digital surface model (DSM), 1992 orthophoto mosaic, masked orthophoto of the study area, 1992 ground cover classification, and 1992 pruned DSM with the vegetation bias removed. Stereo-photogrammetry was used to create a 1992 digital surface model (DSM) and orthophoto mosaic from archived aerial photographs....
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Humbug Creek,
Malakoff Diggins State Historic Park,
aerial photography,
digital elevation models,
elevation,
Active channel as defined by remote sensing before (2010 and after (2011) a 40 year return period flood (December 2010) within the lower Virgin River, Nevada.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
Nevada,
Virgin River,
active channel,
biota,
Structure-from-Motion (SfM) point clouds were created from images collected using a remotely piloted unoccupied aerial system over the bluffs of the eastern shore of Lake Michigan in St. Joseph, a urban residential area. The digital imagery was collected with the internal camera of a DJI Phantom 3 PRO for the July 8, 2019 data and DJI Phantom 4 PRO for the July 13, 2021 data that was operated by the University of Toledo. The images cover an extent between the intersection of Lakeshore Dr. with Lakeshore Road to the north, and South Lakeshore Dr. to the south. The images were collected in .jpg format and include Exif metadata with GPS date, time, and latitude and longitude, and other fields. Point clouds were created...
Images were collected using a remotely piloted unoccupied aerial system over the bluffs of the eastern shore of Lake Michigan in Miami Park rural residential area, Allegan County, MI. Images were collected on July 19, 2021, by Richard Becker, University of Toledo, and cover an extent between south of Lakestone Dr. to the north, and south of A St. to the south. Images were collected to monitor active bluff erosion in the area. The images are presented here in zipped files grouped by type of collection, nadir and oblique. The images were collected in JPG format and include Exif metadata with GPS date, time, longitude and latitude, copyright, keywords, and other fields. These files were used in structure-from-motion...
Structure-from-Motion (SfM) point clouds were created from images collected using a remotely piloted unoccupied aerial system over the bluffs of the eastern shore of Lake Michigan in Miami Park rural residential area. The digital imagery was collected with the internal camera of a DJI Phantom 4 PRO PPK that was operated by the University of Toledo, on July 19, 2021. The images cover an extent between south of Lakestone Dr. to the north, and south of A St. to the south. The images were collected in .jpg format and include Exif metadata with GPS date, time, and latitude and longitude, copyright, keywords, and other fields. Point clouds were created from the collected images using SfM photogrammetry software. The point...
These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Great Basin,
Harmonized Landsat Sentinel,
The data in this part of the release characterize the beach and nearshore environment at the USGS DUring Nearshore Event eXperiment (DUNEX) site on Pea Island National Wildlife Refuge (PINWR) and at the Basnight Bridge (BB), NC. In November 2020, April, September, and October 2021, USGS and Woods Hole Oceanographic Institute (WHOI) scientists conducted multiple field surveys to collect a topobathy elevation time series. Bathymetry for topobathy products was collected in the nearshore using a single-beam echosounder mounted on a surf capable self-righting electric autonomous survey vehicle. Topography is produced using GPS walking surveys or structure-from-motion (SfM) with the imagery and ground control point data...
This part of the Data Release contains the raster representation of the water-level altitude and water-level change maps developed every 5 years from 1980-2015 for the upper Rio Grande Focus Area Study. The input point data used to generate the water-level altitude maps can be found in the "Groundwater level measurement data used to develop water-level altitude maps in the upper Rio Grande Alluvial Basins" child item of this data release. These digital data accompany Houston, N.A., Thomas, J.V., Foster, L.K., Pedraza, D.E., and Welborn, T.L., 2020, Hydrogeologic framework, groundwater-level altitudes, groundwater-level changes, and groundwater-storage changes in selected alluvial basins of the upper Rio Grande...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Abiquiu Reservoir,
Ahumada,
Alamosa,
Alamosa County,
Alamosa Creek,
In this database, we compile and host several available onshore and offshore geologic, paleoseismic, geophysical, and instrumental datasets along the Cascadia subduction zone. The ScienceBase data release and downloadable map package is accompanied by an ArcGIS online map and StoryMap.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Geomorphology,
Geophysics,
Marine Geology,
Remote Sensing,
Sedimentology,
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