Dean Gesch, Ph.D. (Former Employee)
Science and Products
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Validation of the ASTER Global Digital Elevation Model version 3 over the conterminous United States Validation of the ASTER Global Digital Elevation Model version 3 over the conterminous United States
The ASTER Global Digital Elevation Model Version 3 (GDEM v3) was evaluated over the conterminous United States in a manner similar to the validation conducted for the original GDEM Version 1 (v1) in 2009 and GDEM Version 2 (v2) in 2011. The absolute vertical accuracy of GDEM v3 was calculated by comparison with more than 23,000 independent reference geodetic ground control points from...
Authors
Dean B. Gesch, Michael J. Oimoen, Jeffrey J. Danielson, David Meyer
Evaluation of dynamic coastal response to sea-level rise modifies inundation likelihood Evaluation of dynamic coastal response to sea-level rise modifies inundation likelihood
Sea-level rise (SLR) poses a range of threats to natural and built environments1, 2, making assessments of SLR-induced hazards essential for informed decision making3. We develop a probabilistic model that evaluates the likelihood that an area will inundate (flood) or dynamically respond (adapt) to SLR. The broad-area applicability of the approach is demonstrated by producing 30 × 30 m...
Authors
Erika E. Lentz, E. Robert Thieler, Nathaniel G. Plant, Sawyer R. Stippa, Radley M. Horton, Dean B. Gesch
Introduction: Special issue on advances in topobathymetric mapping, models, and applications Introduction: Special issue on advances in topobathymetric mapping, models, and applications
Detailed knowledge of near-shore topography and bathymetry is required for many geospatial data applications in the coastal environment. New data sources and processing methods are facilitating development of seamless, regional-scale topobathymetric digital elevation models. These elevation models integrate disparate multi-sensor, multi-temporal topographic and bathymetric datasets to...
Authors
Dean B. Gesch, John Brock, Christopher E. Parrish, Jeffrey N. Rogers, C. Wayne Wright
Evaluating coastal landscape response to sea-level rise in the northeastern United States: approach and methods Evaluating coastal landscape response to sea-level rise in the northeastern United States: approach and methods
The U.S. Geological Survey is examining effects of future sea-level rise on the coastal landscape from Maine to Virginia by producing spatially explicit, probabilistic predictions using sea-level projections, vertical land movement rates (due to isostacy), elevation data, and land-cover data. Sea-level-rise scenarios used as model inputs are generated by using multiple sources of...
Authors
Erika E. Lentz, Sawyer R. Stippa, E. Robert Thieler, Nathaniel G. Plant, Dean B. Gesch, Radley M. Horton
Accuracy assessment of the U.S. Geological Survey National Elevation Dataset, and comparison with other large-area elevation datasets: SRTM and ASTER Accuracy assessment of the U.S. Geological Survey National Elevation Dataset, and comparison with other large-area elevation datasets: SRTM and ASTER
The National Elevation Dataset (NED) is the primary elevation data product produced and distributed by the U.S. Geological Survey. The NED provides seamless raster elevation data of the conterminous United States, Alaska, Hawaii, U.S. island territories, Mexico, and Canada. The NED is derived from diverse source datasets that are processed to a specification with consistent resolutions...
Authors
Dean B. Gesch, Michael J. Oimoen, Gayla A. Evans
Topobathymetric model of Mobile Bay, Alabama Topobathymetric model of Mobile Bay, Alabama
Topobathymetric Digital Elevation Models (DEMs) are a merged rendering of both topography (land elevation) and bathymetry (water depth) that provides a seamless elevation product useful for inundation mapping, as well as for other earth science applications, such as the development of sediment-transport, sea-level rise, and storm-surge models. This 1/9-arc-second (approximately 3 meters)
Authors
Jeffrey J. Danielson, John Brock, Daniel M. Howard, Dean B. Gesch, Jamie M. Bonisteel-Cormier, Laurinda J. Travers
Non-USGS Publications**
Imhoff, M.L., and Gesch, D.B., 1990, The derivation of a sub canopy digital terrain model of a flooded forest using synthetic aperture radar: Photogrammetric Engineering and Remote Sensing, v. 56, no. 8, p. 1155-1162.
Imhoff, M.L., and Gesch, D.B., 1988, The derivation of sub-canopy surface terrain models of coastal forests using synthetic aperture radar, in Proceedings, 1988 IEEE International Geoscience and Remote Sensing Symposium, Edinburgh, Scotland, September 12-16, 1988, Institute of Electrical and Electronics Engineers, Inc., Piscataway, New Jersey, p. 613-617.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Filter Total Items: 15
Filter Total Items: 15
No Result Found
Filter Total Items: 63
Validation of the ASTER Global Digital Elevation Model version 3 over the conterminous United States Validation of the ASTER Global Digital Elevation Model version 3 over the conterminous United States
The ASTER Global Digital Elevation Model Version 3 (GDEM v3) was evaluated over the conterminous United States in a manner similar to the validation conducted for the original GDEM Version 1 (v1) in 2009 and GDEM Version 2 (v2) in 2011. The absolute vertical accuracy of GDEM v3 was calculated by comparison with more than 23,000 independent reference geodetic ground control points from...
Authors
Dean B. Gesch, Michael J. Oimoen, Jeffrey J. Danielson, David Meyer
Evaluation of dynamic coastal response to sea-level rise modifies inundation likelihood Evaluation of dynamic coastal response to sea-level rise modifies inundation likelihood
Sea-level rise (SLR) poses a range of threats to natural and built environments1, 2, making assessments of SLR-induced hazards essential for informed decision making3. We develop a probabilistic model that evaluates the likelihood that an area will inundate (flood) or dynamically respond (adapt) to SLR. The broad-area applicability of the approach is demonstrated by producing 30 × 30 m...
Authors
Erika E. Lentz, E. Robert Thieler, Nathaniel G. Plant, Sawyer R. Stippa, Radley M. Horton, Dean B. Gesch
Introduction: Special issue on advances in topobathymetric mapping, models, and applications Introduction: Special issue on advances in topobathymetric mapping, models, and applications
Detailed knowledge of near-shore topography and bathymetry is required for many geospatial data applications in the coastal environment. New data sources and processing methods are facilitating development of seamless, regional-scale topobathymetric digital elevation models. These elevation models integrate disparate multi-sensor, multi-temporal topographic and bathymetric datasets to...
Authors
Dean B. Gesch, John Brock, Christopher E. Parrish, Jeffrey N. Rogers, C. Wayne Wright
Evaluating coastal landscape response to sea-level rise in the northeastern United States: approach and methods Evaluating coastal landscape response to sea-level rise in the northeastern United States: approach and methods
The U.S. Geological Survey is examining effects of future sea-level rise on the coastal landscape from Maine to Virginia by producing spatially explicit, probabilistic predictions using sea-level projections, vertical land movement rates (due to isostacy), elevation data, and land-cover data. Sea-level-rise scenarios used as model inputs are generated by using multiple sources of...
Authors
Erika E. Lentz, Sawyer R. Stippa, E. Robert Thieler, Nathaniel G. Plant, Dean B. Gesch, Radley M. Horton
Accuracy assessment of the U.S. Geological Survey National Elevation Dataset, and comparison with other large-area elevation datasets: SRTM and ASTER Accuracy assessment of the U.S. Geological Survey National Elevation Dataset, and comparison with other large-area elevation datasets: SRTM and ASTER
The National Elevation Dataset (NED) is the primary elevation data product produced and distributed by the U.S. Geological Survey. The NED provides seamless raster elevation data of the conterminous United States, Alaska, Hawaii, U.S. island territories, Mexico, and Canada. The NED is derived from diverse source datasets that are processed to a specification with consistent resolutions...
Authors
Dean B. Gesch, Michael J. Oimoen, Gayla A. Evans
Topobathymetric model of Mobile Bay, Alabama Topobathymetric model of Mobile Bay, Alabama
Topobathymetric Digital Elevation Models (DEMs) are a merged rendering of both topography (land elevation) and bathymetry (water depth) that provides a seamless elevation product useful for inundation mapping, as well as for other earth science applications, such as the development of sediment-transport, sea-level rise, and storm-surge models. This 1/9-arc-second (approximately 3 meters)
Authors
Jeffrey J. Danielson, John Brock, Daniel M. Howard, Dean B. Gesch, Jamie M. Bonisteel-Cormier, Laurinda J. Travers
Non-USGS Publications**
Imhoff, M.L., and Gesch, D.B., 1990, The derivation of a sub canopy digital terrain model of a flooded forest using synthetic aperture radar: Photogrammetric Engineering and Remote Sensing, v. 56, no. 8, p. 1155-1162.
Imhoff, M.L., and Gesch, D.B., 1988, The derivation of sub-canopy surface terrain models of coastal forests using synthetic aperture radar, in Proceedings, 1988 IEEE International Geoscience and Remote Sensing Symposium, Edinburgh, Scotland, September 12-16, 1988, Institute of Electrical and Electronics Engineers, Inc., Piscataway, New Jersey, p. 613-617.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.