Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Data associated with the investigation of suitable habitat for the endangered plant Harperella (Ptilimnium nodosum Rose) in the Potomac River near Hancock Maryland

Metadata Updated: July 6, 2024

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. 1_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 Ferry National Park. 2_Historical Image Analysis: Analysis consisted of visual examination and manual delineation of in-channel bars within the Potomac River and its larger tributaries, including the Cacapon River, lower Tonoloway Creek, Sleepy Creek, lower Lick Run, and Back Creek. This manual delineation was conducted for several dates of historic aerial imagery, including 2009, 2011, 2013, 2016, and 2017. Persistence of different parts of the in-channel bars over time was mapped by intersecting the 5 years of interpretations. 3_UAS image acqusition of AOIs: UAS imagery was collected to facilitate detailed observation, terrain modeling, and documentation of 10 AOIs (shown in figure). National Park Service regulations restrict the take-off and landing of UAS on park property, so the edge of in-channel bars within the Potomac River was used to enable line-of-sight UAS image acquisition covering the entire AOI. The USGS and the Aerial Vision Group, LLC sought permission to fly a small UAS from both the Maryland and West Virginia Department of Natural Resources (DNR). DEM and Orthophoto datasets are available by request - please email jdewitt@usgs.gov

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/db94af49dbd0c3bc42786636a9f2032a
Identifier USGS:5e594d1fe4b01d50924b2792
Data Last Modified 20201028
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 6f01ccfe-b32e-4f7e-99eb-35d3f815a104
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -78.3612,39.3543,-77.6707,39.7382
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash a910f5609a0350689e076339846be97c7f797498140951e6f6d4c4cdfe53823e
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -78.3612, 39.3543, -78.3612, 39.7382, -77.6707, 39.7382, -77.6707, 39.3543, -78.3612, 39.3543}

Didn't find what you're looking for? Suggest a dataset here.