Filters: partyWithName: U.S. Geological Survey (X) > partyWithName: Jessica D Dewitt (X) > partyWithName: Core Science Systems (X)
6 results (9ms)|
Filters
Date Range
Types Contacts
Categories Tag Types Tag Schemes |
This spreadsheet contains the results of open-bore auger samples collected by the U.S. Geological Survey in Maryland and Virginia for the Federal Highways Administration Turner-Fairbanks Highway Research Center. 19 sites were selected in 14 different locations across northern Virginia and southern Maryland by FBGC scientists to drill boreholes for the development of the TFHRC’s In-situ Scour Testing Device (ISTD) and to investigate the sedimentological properties of different layers of the near-surface soil column. Each worksheet in this excel workbook contains the detailed log information for one site, including its name, gps coordinates, surface elevation, borehole depth, information about the drilling rig used...
Categories: Data;
Tags: Geography,
Geomorphology,
Information Sciences,
Maryland,
USGS Science Data Catalog (SDC),
In December 2022, the U.S. Geological Survey (USGS) flew uncrewed aerial systems (UAS) to collect very high-resolution imagery and lidar data of Vicksburg National Military Park to address areas of substantial landslide hazard within the park. The fine spatial resolution and high accuracy of this data are needed to fully characterize and quantify landslides and to understand the potential for continued landslide activity in other areas of the park. UAS flights were conducted by the USGS National Uncrewed Systems Office (NUSO). This data release publishes the 0.5m DTM created from the UAS-borne lidar data collected in December 2022.
In lieu of a uniform mapping of the Chesapeake and Ohio Canal National Historical Park corridor at very high-resolution using UAS, this study developed a multi-scale workflow, where (1) geospatial modeling methods and (2) historic image analysis were used to constrain the areal extent of (3) detailed field and unmanned aerial systems (UAS) observation. Geospatial Modeling Methods: Harperella habitat characteristics reported by literature sources and corroborated by extremely limited harperella occurrence data (in the form of GPS locations), were compiled into a geospatial prediction model (GPM) to characterize the extent of harperella habitat for the region between Sideling Hill Wildlife Management Area and Harper’s...
This data release publishes datasets within and surrounding the Piney Branch watershed located in the Washington, D.C. metropolitan suburb of Vienna, Virginia. This dataset was utilized in studies that investigated the accuracy and application of geospatial modeling techniques, structure-from-motion (SfM) photogrammetric methods, and digital elevation model (DEM) differencing to assess and quantify geomorphic and anthropogenic landform change. The United States Geological Survey’s (USGS) three-dimensional digital elevation program (3DEP) light detection and ranging (LiDAR) digital terrain models (DTMs) were used together with and as a means for comparison to DTMs created from historical aerial imagery. The creation...
NOTE: this data release has been superseded with a new version. Version 3.0 can be found here. Afghanistan is endowed with a broad range of mineral resources. Currently, the majority of mining throughout the country is comprised of informal and undocumented artisanal and small-scale mining (ASM) operations. The exact scope of excavation operations depends largely on the mineral commodity produced. In the case of gemstones, such as emeralds and rubies, small teams of miners use manual equipment such as pick-axes, shovels, and explosives to blast the host rock to access the minerals. Other mineral commodities like talc, coal, and chromite, as well as development minerals such as construction stone, sand, and gravel,...
Polygons indicate the extent of urban (gridcode 5) and developed (gridcode 6) land cover in the greater Kabul area. Polygons were created from classification of Landsat 8 Operational Land Imagery (OLI) 30m resolution multispectral satellite imagery acquired on June 13, 2018.
|
|
