Dean Gesch, Ph.D. (Former Employee)
Science and Products
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Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining
Geospatial data sets, especially digital elevation data, have proven useful for characterizing and analyzing land surface conditions. Digital elevation models are routinely used for describing the morphology of the land surface in terms of slope gradient and aspect. Additionally, the elevation data are useful for deriving parameters that describe the local drainage conditions such as...
Authors
Dean B. Gesch
Collection and analysis of high-resolution elevation data for the Lincoln Lidar Project, Lincoln, Nebraska, 2004 Collection and analysis of high-resolution elevation data for the Lincoln Lidar Project, Lincoln, Nebraska, 2004
The Lincoln Lidar Project was a partnership developed between the U.S. Geological Survey National Center for Earth Resources Observations and Science (EROS), Lancaster County and the city of Lincoln, Nebraska. This project demonstrated a successful planning, collection, analysis and integration of high-resolution elevation information using Light Detection and Ranging, (Lidar) data. This...
Authors
P.D. Meyer, Susan K. Greenlee, Dean B. Gesch, Erik J. Hubl, Ryan N. Axmann
The national elevation data set The national elevation data set
The NED is a seamless raster dataset from the USGS that fulfills many of the concepts of framework geospatial data as envisioned for the NSDI, allowing users to focus on analysis rather than data preparation. It is regularly maintained and updated, and it provides basic elevation data for many GIS applications. The NED is one of several seamless datasets that the USGS is making available...
Authors
Dean B. Gesch, Michael J. Oimoen, Susan K. Greenlee, Charles A. Nelson, Michael J. Steuck, Dean J. Tyler
Initial results from a test of the NASA EAARL lidar in the Tampa Bay region Initial results from a test of the NASA EAARL lidar in the Tampa Bay region
An initial test of the performance of the NASA Experimental Advanced Airborne Research Lidar (EAARL) over coastal environments around the margins of an urbanized Gulf of Mexico estuary was performed over Tampa Bay in January 2002. The EAARL is a raster-scanning, water-penetrating, full-waveform adaptive lidar that is coupled to aircraft positioning systems and a downlooking color digital...
Authors
John Brock, Wayne C. Wright, Amar Nayegandhi, Tonya Clayton, Mark Hansen, John Longenecker, Dean B. Gesch, Michael Crane, S. Dutton
Blending bathymetry with topography—The Tampa Bay demonstration project Blending bathymetry with topography—The Tampa Bay demonstration project
No abstract available.
Authors
Bruce Parker, Dennis Milbert, Robert Wilson, Jon Bailey, Dean B. Gesch
Development of a seamless multisource topographic/bathymetric elevation model of Tampa Bay Development of a seamless multisource topographic/bathymetric elevation model of Tampa Bay
Many applications of geospatial data in coastal environments require knowledge of the nearshore topography and bathymetry. However, because existing topographic and bathymetric data have been collected independently for different purposes, it has been difficult to use them together at the land/water interface owing to differences in format, projection, resolution, accuracy, and datums...
Authors
Dean Gesch, Robert Wilson
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
Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining Analysis of multi-temporal geospatial data sets to assess the landscape effects of surface mining
Geospatial data sets, especially digital elevation data, have proven useful for characterizing and analyzing land surface conditions. Digital elevation models are routinely used for describing the morphology of the land surface in terms of slope gradient and aspect. Additionally, the elevation data are useful for deriving parameters that describe the local drainage conditions such as...
Authors
Dean B. Gesch
Collection and analysis of high-resolution elevation data for the Lincoln Lidar Project, Lincoln, Nebraska, 2004 Collection and analysis of high-resolution elevation data for the Lincoln Lidar Project, Lincoln, Nebraska, 2004
The Lincoln Lidar Project was a partnership developed between the U.S. Geological Survey National Center for Earth Resources Observations and Science (EROS), Lancaster County and the city of Lincoln, Nebraska. This project demonstrated a successful planning, collection, analysis and integration of high-resolution elevation information using Light Detection and Ranging, (Lidar) data. This...
Authors
P.D. Meyer, Susan K. Greenlee, Dean B. Gesch, Erik J. Hubl, Ryan N. Axmann
The national elevation data set The national elevation data set
The NED is a seamless raster dataset from the USGS that fulfills many of the concepts of framework geospatial data as envisioned for the NSDI, allowing users to focus on analysis rather than data preparation. It is regularly maintained and updated, and it provides basic elevation data for many GIS applications. The NED is one of several seamless datasets that the USGS is making available...
Authors
Dean B. Gesch, Michael J. Oimoen, Susan K. Greenlee, Charles A. Nelson, Michael J. Steuck, Dean J. Tyler
Initial results from a test of the NASA EAARL lidar in the Tampa Bay region Initial results from a test of the NASA EAARL lidar in the Tampa Bay region
An initial test of the performance of the NASA Experimental Advanced Airborne Research Lidar (EAARL) over coastal environments around the margins of an urbanized Gulf of Mexico estuary was performed over Tampa Bay in January 2002. The EAARL is a raster-scanning, water-penetrating, full-waveform adaptive lidar that is coupled to aircraft positioning systems and a downlooking color digital...
Authors
John Brock, Wayne C. Wright, Amar Nayegandhi, Tonya Clayton, Mark Hansen, John Longenecker, Dean B. Gesch, Michael Crane, S. Dutton
Blending bathymetry with topography—The Tampa Bay demonstration project Blending bathymetry with topography—The Tampa Bay demonstration project
No abstract available.
Authors
Bruce Parker, Dennis Milbert, Robert Wilson, Jon Bailey, Dean B. Gesch
Development of a seamless multisource topographic/bathymetric elevation model of Tampa Bay Development of a seamless multisource topographic/bathymetric elevation model of Tampa Bay
Many applications of geospatial data in coastal environments require knowledge of the nearshore topography and bathymetry. However, because existing topographic and bathymetric data have been collected independently for different purposes, it has been difficult to use them together at the land/water interface owing to differences in format, projection, resolution, accuracy, and datums...
Authors
Dean Gesch, Robert Wilson
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.