RUSH is a tool for rapid repeat high resolution coastal vegetation maps to improve forecasting of hurricane impacts and coastal resilience. Vegetation cover in coastal settings significantly controls flooding, erosion, and barrier island breaching during extreme storms by reducing wave energy.
Dean Gesch, Ph.D.
Dean Gesch is a Research Physical Scientist with the U.S. Geological Survey at the Earth Resources Observation and Science Center (EROS) in Sioux Falls, South Dakota.
Since 1992, Dean Gesch has worked at USGS/EROS on a variety of geographic science topics, with most related to research and development of topographic data, derivative products, and applications. Most of Gesch’s work has focused on large-area datasets and applications (global, national, regional, and local), and much of the work has been collaborative in nature, working with scientists from other USGS centers and other Federal agencies. He led the design and development of USGS baseline elevation datasets at the national scale (the National Elevation Dataset) and the global scale (GTOPO30 and GMTED2010). His research topics include large-area topographic change analysis and monitoring, hurricane storm surge mapping, elevation data accuracy assessment, and sea-level rise vulnerability assessment. He served as a guest editor for Photogrammetric Engineering and Remote Sensing for a special issue on: The Shuttle Radar Topography Mission – Data Validation and Applications, and was also a guest editor for Journal of Coastal Research for a special issue on: Advances in Topobathymetric Mapping, Models, and Applications. Gesch has served in leadership positions in several national and international forums, including the National Digital Elevation Program, the International Society for Photogrammetry and Remote Sensing Working Group on Global Digital Elevation Model (DEM) Interoperability, and the Group on Earth Observations Global DEM Task. Currently at EROS he is the Principal Investigator leading the Terrain Monitoring and Modeling focus area in the Integrated Science and Applications Branch.
Professional Experience
2004 to present: Research Physical Scientist, U.S. Geological Survey, Earth Resources Observation and Science Center
1992 - 2004: Senior Scientist, Hughes STX / Raytheon / SAIC at USGS/Earth Resources Observation and Science Center
1989 - 1992: Programmer/Analyst, Hughes STX Corp., Lanham, MD
1986 - 1989: Member Technical Staff, Science Applications Research Corp. at NASA/Goddard Space Flight Center
1984 - 1986: Physical Scientist, Defense Mapping Agency, Bethesda, MD
Education and Certifications
Ph.D., 2006, Geospatial Science and Engineering, South Dakota State University, Dissertation: An inventory and assessment of significant topographic changes in the United States
M.A., 1984, Geosciences, Murray State University, Thesis: An analysis of the utility of Landsat Thematic Mapper data and digital elevation model data for predicting soil erosion: East Fork Massac Cree
B.S. (magna cum laude), 1982, Geography, Carroll College
Science and Products
Developing General Coastal Vegetation Maps for Coastal Morphodynamic Models
A Tool for Rapid-Repeat High-Resolution Coastal Vegetation Maps to Improve Forecasting of Hurricane Impacts and Coastal Resilience
A National Topographic Change Mapping and Monitoring System
Enhancing Stakeholder Capacity for Coastal Inundation Assessments in the Marshall Islands
Webinar: A Coastal Hazard Assessment with High-Resolution Data: A Pacific Island Case Study
Hydrologic Effects
Error Sources, Uncertainty, Limitations, and Uses
Significant Topographic Changes in the United States
Sea-Level Rise Vulnerability
Supporting Sea-Level Rise Preparedness in Hawaiian National Parks
Evaluation and testing of standardized forest vegetation metrics derived from lidar data
Characterizing Inundation Risk for Majuro Atoll
Digital elevation models for the Everglades Depth Estimation Network with elevation uncertainty treatment
Contractor vertical accuracy checkpoints for 3D Elevation Program digital elevation models in the Northern Gulf of Mexico and Atlantic coastal regions, 2012–2020
Inundation Exposure Assessment for Select Islands in the Republic of the Marshall Islands
Topobathymetric Model of Pu'uhonua O Honaunau National Historical Park, 2011 to 2019 - Field Survey Source and Validation Data
Chesapeake Bay Region Virginia River Bluff and Wetland Extent Mapping
Pohnpei, Federated States of Micronesia Mangrove Elevation Survey Data
Inundation Exposure Assessment for Majuro Atoll, Republic of the Marshall Islands
Topobathymetric Model for the Central Coast of California, 1929 to 2017
One Meter Topobathymetric Digital Elevation Model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016
Vertical Land Change in Select Counties of Kentucky, Minnesota, and Wisconsin
Delineation of Water Bodies in Emergent Wetlands in Coastal New Jersey
Coastal Landscape Response to Sea-Level Rise Assessment for the Northeastern United States Data Release
RUSH is a tool for rapid repeat high resolution coastal vegetation maps to improve forecasting of hurricane impacts and coastal resilience. Vegetation cover in coastal settings significantly controls flooding, erosion, and barrier island breaching during extreme storms by reducing wave energy.
Sea levels are rising globally. In some places, it is rising more than others, threatening communities and people as storm surges reach further inland and inundate more land.
Sea levels are rising globally. In some places, it is rising more than others, threatening communities and people as storm surges reach further inland and inundate more land.
Research Physical Scientist Dean Gesch shares an overview of USGS/EROS surveying efforts in the mangrove forests of Pohnpei.
Research Physical Scientist Dean Gesch shares an overview of USGS/EROS surveying efforts in the mangrove forests of Pohnpei.
USGS/EROS Physical Scientist Dean Gesch and USGS/EROS CoNED Applications Project Chief Jeff Danielson discuss different remote sensing methods they used to create topobathemetric elevation models of the Majuro Atoll.
USGS/EROS Physical Scientist Dean Gesch and USGS/EROS CoNED Applications Project Chief Jeff Danielson discuss different remote sensing methods they used to create topobathemetric elevation models of the Majuro Atoll.
USGS/EROS Physical Scientist Dean Gesch and USGS/EROS CoNED Applications Project Chief Jeff Danielson discuss the Coastal National Elevation Database (CoNED), its acquisition and its uses.
USGS/EROS Physical Scientist Dean Gesch and USGS/EROS CoNED Applications Project Chief Jeff Danielson discuss the Coastal National Elevation Database (CoNED), its acquisition and its uses.
Ranking of 10 global one-arc-second DEMs reveals limitations in terrain morphology representation
Assessing the vertical accuracy of digital elevation models by quality level and land cover
Novel approach for ranking DEMs: Copernicus DEM improves one arc second open global topography
Assessing global elevation models for mapping the low elevation coastal zone
Elevation-based probabilistic mapping of irregularly flooded wetlands along the northern Gulf of Mexico coast
A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia
Elevations of mangrove forests of Pohnpei, Micronesia
Digital elevation models: Terminology and definitions
A spatial analysis of climate gentrification in Orleans Parish, Louisiana post-Hurricane Katrina
Inundation exposure assessment for Majuro Atoll, Republic of the Marshall Islands using a high-accuracy digital elevation model
Best practices for elevation-based assessments of sea-level rise and coastal flooding exposure
The National Elevation Dataset
Non-USGS Publications**
**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.
Topographic Change Viewer
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.
RUSH: Rapid Remote Sensing Updates of landcover for Storm and Hurricane forecasts (Version 1.0.0)
Science and Products
Developing General Coastal Vegetation Maps for Coastal Morphodynamic Models
A Tool for Rapid-Repeat High-Resolution Coastal Vegetation Maps to Improve Forecasting of Hurricane Impacts and Coastal Resilience
A National Topographic Change Mapping and Monitoring System
Enhancing Stakeholder Capacity for Coastal Inundation Assessments in the Marshall Islands
Webinar: A Coastal Hazard Assessment with High-Resolution Data: A Pacific Island Case Study
Hydrologic Effects
Error Sources, Uncertainty, Limitations, and Uses
Significant Topographic Changes in the United States
Sea-Level Rise Vulnerability
Supporting Sea-Level Rise Preparedness in Hawaiian National Parks
Evaluation and testing of standardized forest vegetation metrics derived from lidar data
Characterizing Inundation Risk for Majuro Atoll
Digital elevation models for the Everglades Depth Estimation Network with elevation uncertainty treatment
Contractor vertical accuracy checkpoints for 3D Elevation Program digital elevation models in the Northern Gulf of Mexico and Atlantic coastal regions, 2012–2020
Inundation Exposure Assessment for Select Islands in the Republic of the Marshall Islands
Topobathymetric Model of Pu'uhonua O Honaunau National Historical Park, 2011 to 2019 - Field Survey Source and Validation Data
Chesapeake Bay Region Virginia River Bluff and Wetland Extent Mapping
Pohnpei, Federated States of Micronesia Mangrove Elevation Survey Data
Inundation Exposure Assessment for Majuro Atoll, Republic of the Marshall Islands
Topobathymetric Model for the Central Coast of California, 1929 to 2017
One Meter Topobathymetric Digital Elevation Model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016
Vertical Land Change in Select Counties of Kentucky, Minnesota, and Wisconsin
Delineation of Water Bodies in Emergent Wetlands in Coastal New Jersey
Coastal Landscape Response to Sea-Level Rise Assessment for the Northeastern United States Data Release
RUSH is a tool for rapid repeat high resolution coastal vegetation maps to improve forecasting of hurricane impacts and coastal resilience. Vegetation cover in coastal settings significantly controls flooding, erosion, and barrier island breaching during extreme storms by reducing wave energy.
RUSH is a tool for rapid repeat high resolution coastal vegetation maps to improve forecasting of hurricane impacts and coastal resilience. Vegetation cover in coastal settings significantly controls flooding, erosion, and barrier island breaching during extreme storms by reducing wave energy.
Sea levels are rising globally. In some places, it is rising more than others, threatening communities and people as storm surges reach further inland and inundate more land.
Sea levels are rising globally. In some places, it is rising more than others, threatening communities and people as storm surges reach further inland and inundate more land.
Research Physical Scientist Dean Gesch shares an overview of USGS/EROS surveying efforts in the mangrove forests of Pohnpei.
Research Physical Scientist Dean Gesch shares an overview of USGS/EROS surveying efforts in the mangrove forests of Pohnpei.
USGS/EROS Physical Scientist Dean Gesch and USGS/EROS CoNED Applications Project Chief Jeff Danielson discuss different remote sensing methods they used to create topobathemetric elevation models of the Majuro Atoll.
USGS/EROS Physical Scientist Dean Gesch and USGS/EROS CoNED Applications Project Chief Jeff Danielson discuss different remote sensing methods they used to create topobathemetric elevation models of the Majuro Atoll.
USGS/EROS Physical Scientist Dean Gesch and USGS/EROS CoNED Applications Project Chief Jeff Danielson discuss the Coastal National Elevation Database (CoNED), its acquisition and its uses.
USGS/EROS Physical Scientist Dean Gesch and USGS/EROS CoNED Applications Project Chief Jeff Danielson discuss the Coastal National Elevation Database (CoNED), its acquisition and its uses.
Ranking of 10 global one-arc-second DEMs reveals limitations in terrain morphology representation
Assessing the vertical accuracy of digital elevation models by quality level and land cover
Novel approach for ranking DEMs: Copernicus DEM improves one arc second open global topography
Assessing global elevation models for mapping the low elevation coastal zone
Elevation-based probabilistic mapping of irregularly flooded wetlands along the northern Gulf of Mexico coast
A comprehensive assessment of mangrove species and carbon stock on Pohnpei, Micronesia
Elevations of mangrove forests of Pohnpei, Micronesia
Digital elevation models: Terminology and definitions
A spatial analysis of climate gentrification in Orleans Parish, Louisiana post-Hurricane Katrina
Inundation exposure assessment for Majuro Atoll, Republic of the Marshall Islands using a high-accuracy digital elevation model
Best practices for elevation-based assessments of sea-level rise and coastal flooding exposure
The National Elevation Dataset
Non-USGS Publications**
**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.
Topographic Change Viewer
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.