Research Physical Scientist Dean Gesch shares an overview of USGS/EROS surveying efforts in the mangrove forests of Pohnpei.
Jeffrey R Irwin
Jeff Irwin is a Geographer with the U.S. Geological Survey at the Earth Resources Observation and Science (EROS) Center in Sioux Falls, South Dakota.
Jeff Irwin is a Geographer with the U.S. Geological Survey (USGS) at the Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD. Jeff serves as the EROS Survey and Field Campaign Lead working with both the EROS Calibration/Validation Center of Excellence (ECCOE) and Terrain Modeling and Monitoring Focus Areas. Additionally, he leads Lidar Data Quality and 3D Accuracy Research at EROS, which supports the USGS managed 3D Elevation Program (3DEP). Jeff’s responsibilities include ensuring that high quality field data is collected, processed, and published for a variety of activities, including developing methodologies to access the accuracy of airborne lidar and accessing the accuracy of airborne topographic and topobathymetric lidar systems for 3DEP, validating Landsat products, mapping river bluffs for sediment transport and erosion modeling, validating regional topobathymetric digital elevation models (TBDEMs), and researching the utility UAS mounted camera systems for validating satellite imagery. Jeff relies heavily on his years of experience working in the private land surveying world to conduct this work.
Jeff started with the USGS as an intern with EROS Fire Science in 2016. Jeff's work as an intern focused on developing methodology to map understory fuels in northeastern Minnesota using airborne lidar data and mapping historic fires using Landsat imagery. Jeff has an A.A.S. in Civil Engineering Technology from Southeast Technical Institute, as well as both a B.S. and an M.S. in Geography from South Dakota State University.
Education and Certifications
M.S., 2018, Geography, South Dakota State University, Thesis: Quantification of Understory Fuels in the Superior Nation Forest using Lidar Data
B.S., 2014, Geography, South Dakota State University
A.A.S., 2009, Civil Engineering Technology, Southeast Technical Institute
Science and Products
ECCOE 2024 Surface Reflectance Validation Dataset
ECCOE 2023 Surface Reflectance Validation Dataset
2021 Potomac River Phase II Topobathymetric Lidar Validation - USGS Field Survey Data
2019 Eastern Iowa Topographic Lidar Validation – USGS Field Survey Data
ECCOE 2022 Surface Reflectance Validation Dataset
ECCOE 2021 Surface Reflectance Validation Dataset
2021 McKenzie River Topobathymetric Lidar Validation - USGS Field Survey Data
Potomac River ADCP Bathymetric Survey, October 4-7, 2021
Topobathymetric Model of Pu'uhonua O Honaunau National Historical Park, 2011 to 2019 - Field Survey Source and Validation Data
Potomac River ADCP Bathymetric Survey, October 4-7, 2021
Black Hills Region South Dakota 2017 Legion Lake Fire Burned and Unburned Plot Measurements
Chesapeake Bay Region Virginia River Bluff and Wetland Extent Mapping
Research Physical Scientist Dean Gesch shares an overview of USGS/EROS surveying efforts in the mangrove forests of Pohnpei.
Airborne lidar accuracy analysis for dual photogrammetric and lidar sensor pilot project in Colorado, 2019
Implementing a dual-spectrometer approach for improved surface reflectance estimation
Absolute accuracy assessment of lidar point cloud using amorphous objects
Elevations of mangrove forests of Pohnpei, Micronesia
Airborne hybrid sensor maps the country: Multi-agency effort for testing a potential new hybrid 3DEP-NAIP sensor
Positional accuracy assessment of lidar point cloud from NAIP/3DEP pilot project
General external uncertainty models of three-plane intersection point for 3D absolute accuracy assessment of lidar point cloud
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.
Science and Products
ECCOE 2024 Surface Reflectance Validation Dataset
ECCOE 2023 Surface Reflectance Validation Dataset
2021 Potomac River Phase II Topobathymetric Lidar Validation - USGS Field Survey Data
2019 Eastern Iowa Topographic Lidar Validation – USGS Field Survey Data
ECCOE 2022 Surface Reflectance Validation Dataset
ECCOE 2021 Surface Reflectance Validation Dataset
2021 McKenzie River Topobathymetric Lidar Validation - USGS Field Survey Data
Potomac River ADCP Bathymetric Survey, October 4-7, 2021
Topobathymetric Model of Pu'uhonua O Honaunau National Historical Park, 2011 to 2019 - Field Survey Source and Validation Data
Potomac River ADCP Bathymetric Survey, October 4-7, 2021
Black Hills Region South Dakota 2017 Legion Lake Fire Burned and Unburned Plot Measurements
Chesapeake Bay Region Virginia River Bluff and Wetland Extent Mapping
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.
Airborne lidar accuracy analysis for dual photogrammetric and lidar sensor pilot project in Colorado, 2019
Implementing a dual-spectrometer approach for improved surface reflectance estimation
Absolute accuracy assessment of lidar point cloud using amorphous objects
Elevations of mangrove forests of Pohnpei, Micronesia
Airborne hybrid sensor maps the country: Multi-agency effort for testing a potential new hybrid 3DEP-NAIP sensor
Positional accuracy assessment of lidar point cloud from NAIP/3DEP pilot project
General external uncertainty models of three-plane intersection point for 3D absolute accuracy assessment of lidar point cloud
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.