Earth Resources Observation and Science (EROS) Center

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Filter Total Items: 179
Date published: December 19, 2018
Status: Active

Hurricane Sandy Region - Topobathymetric Elevation Model of Chesapeake Bay

Hurricane Sandy had significant impacts throughout the Chesapeake Bay, altering the topography and ecosystems of this populous coastal region. In response to the storm, the U.S. Geological Survey (USGS) Coastal and Marine Geology Program in collaboration with USGS National Geospatial...

Date published: December 18, 2018
Status: Active

EDNA Stage 1B Seamless Process

The EDNA Stage1B process involves collecting the raw data from the EDNA cooperators, performing QA/QC checks on the raw data, and preparing the data for Stage II of the project. ArcInfo amls are executed to create the seamless database, and ArcView tools are utilized to determine seamless accuracy. The Stage 1B database development provides seamless drainage basin delineations and synthetic...

Date published: December 18, 2018
Status: Active

EDNA Stage 2 Vector Editing

The delineations produced in Stage 1 are passed on to appropriate cooperators, who will provide an intensive QA/QC. The derived watersheds will be overlain on 1:24,000 map sheets (as DRGs) and the watershed boundaries will be revised using standard vector editing techniques. These revised boundaries will provide the Stage 2 delineation. Watershed areas found to be in conflict with the DRGs...

Date published: December 18, 2018
Status: Active

EDNA Stage 1 Blind Pass Processing Steps

Using well-tested GIS techniques, the NED database is being processed into a Stage 1 EDNA product. The bulk of this work is being done by the National Weather Service's Severe Storms Laboratory (NSSL) in Norman, Oklahoma. Additional processing is currently being provided by the USGS WRD office in Sacramento, California.

Date published: December 18, 2018
Status: Active

EDNA Methodology

The development of the EDNA database is proceeding in three stages:

Date published: December 17, 2018
Status: Active

Acquiring Land-Cover Modeling Data from USGS / EROS Center

The following provides a short synopsis of current and recently completely projects using USGS EROS’ FORE-SCE model, and where applicable, links to download data. Additional project information and data will be made available as our research progresses. Please contact the principal investigator for any questions regarding the projects below, or for queries...

Contacts: Terry Sohl
Date published: December 17, 2018
Status: Active

Land Product Characterization System (LPCS)

The National Oceanic and Atmospheric Administration (NOAA) and the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center are collaborating on the development of a Land Product Characterization System (LPCS).

Date published: December 17, 2018
Status: Active

Land-cover Modeling at USGS Earth Resources Observation and Science (EROS) Center

Land-use change and the resultant changes in land cover impact a wide variety of ecological processes. Projected land-cover data produced by EROS have been used for a wide variety of applications, including those listed in the left column. The following provides a partial list of published applications for modeled land-use and land-cover data.

Contacts: Terry Sohl
Date published: December 17, 2018
Status: Active

Land-Cover Modeling Methodology - The FORE-SCE Model

Many factors determine how human beings modify the earth's landscape. Land-cover change is inherently a local event, yet broader scale socioeconomic and biophysical factors also affect how humans make decisions to use the landscape. Projecting future land cover requires modelers to account for driving forces of land-cover change operating at scales from local ("bottom-up") to global ("top-down...

Contacts: Terry Sohl
Date published: December 13, 2018
Status: Active

Primary Findings

he research conducted for this study has resulted in new geospatial datasets that locate and describe significant topographic surface changes in the conterminous United States. In addition, summary statistics and tabulations of changed areas have been produced for several different accounting and reporting units. These results should be useful for researchers working on land change at various...

Date published: December 13, 2018
Status: Active

SRTM NED Vertical Differencing

Image differencing has long been used as an effective change detection technique for coregistered digital remote sensing datasets.  One image is simply subtracted from another image on a pixel-by-pixel basis.  As applied to gridded DEMs, the result of image differencing is a differential surface, which is a measure of the spatial distribution of mass displacement.  In a differential surface,...

Date published: December 13, 2018
Status: Active

Significant Topographic Changes in the United States

The USGS has developed a national inventory of significant topographic changes based on seamless multitemporal elevation data and land cover data. The National Elevation Dataset (NED) and the Shuttle Radar Topography Mission (SRTM) data form a unique pair of seamless elevation datasets that can be used to detect and analyze 20th century topographic surface changes in the United States.