Digital Data
type: Distribution
access URL: https://doi.org/10.5066/P9W8TNQM
media type: application/http
description: Landing page for access to the data
format: XML
issued: 2022-07-07T15:55:41.024754
modified: 2025-11-21T09:14:33.517162

Point based shorelines derived from global positioning system data with nearest WorldView shoreline distance for the Grand Bay National Estuarine Research Reserve in Mississippi from 2013-2020
type: Dataset
contact point: Organization
  fn: Joseph F. Terrano
keyword: amerigeo
keyword: coastal-processes
keyword: gulf-of-mexico
keyword: aerial-photography
keyword: grand-bay-national-estuarine-research-reserve
keyword: national
keyword: ckan
keyword: mississippi
keyword: oceans
keyword: shoreline-map
keyword: global-positioning-system
keyword: geoscientificinformation
keyword: digitization
keyword: environment
keyword: north-america
keyword: ms
keyword: boundaries
keyword: geoss
keyword: amerigeoss
keyword: united-states
keyword: usa
keyword: geo
keyword: shoreline-data
theme: {geospatial}
description: Shoreline change analysis is an important environmental monitoring tool for evaluating coastal exposure to erosion hazards, particularly for vulnerable habitats such as coastal wetlands where habitat loss is problematic world-wide. The increasing availability of high-resolution satellite imagery and emerging developments in analysis techniques support the implementation of these data into coastal management, including shoreline monitoring and change analysis. Geospatial shoreline data were created from a semi-automated methodology using WorldView (WV) satellite data between 2013 and 2020. The data were compared to contemporaneous field-surveyed Real-time Kinematic (RTK) Global Positioning System (GPS) data collected by the Grand Bay National Estuarine Research Reserve (GBNERR) and digitized shorelines from U.S. Department of Agriculture National Agriculture Imagery Program (NAIP) orthophotos. Field data for shoreline monitoring sites was also collected to aid interpretation of results. This data release contains digital vector shorelines, shoreline change calculations for all three remote sensing data sets, and field surveyed data. The data will aid managers and decision-makers in the adoption of high-resolution satellite imagery into shoreline monitoring activities, which will increase the spatial scale of shoreline change monitoring, provide rapid response to evaluate impacts of coastal erosion, and reduce cost of labor-intensive practices. For further information regarding data collection and/or processing methods, refer to the associated journal article (Smith and others, 2021).
issued: 2025-11-21T09:14:33.529501
modified: 20210721
spatial: Location

US Migrating
type: Agent

Original Metadata
type: Distribution
access URL: https://data.usgs.gov/datacatalog/metadata/USGS.3cc7c8f2-8cb0-474f-994c-5827a4e85e9b.xml
media type: text/xml
description: The metadata original format
format: XML
issued: 2022-07-07T15:55:41.024746
modified: 2025-11-21T09:14:33.516720