Daniel H Doctor, Ph.D.
Daniel H. Doctor is a Research Geologist at the Florence Bascom Geoscience Center.
Dan is a research geologist conducting geologic mapping and specialized geologic research for the Appalachian Basin project. His current research interests include stratigraphy of the Appalachian Basin, landscape evolution within the Appalachian Valley and Ridge physiographic province, karst hydrology and geomorphology, sinkhole hazard studies, and paleoclimate records from karst regions.
Dan began a career with the USGS in 2002 as an NRC postdoc within the Isotope Tracers of Biogeochemical and Hydrologic Processes project of the National Research Program in Menlo Park, California. In 2006, he joined the Florence Bascom Geoscience Center in Reston, Virginia.
Professional Experience
Research Geologist (2006-present). U.S. Geological Survey, KARST Project, Eastern Geology and Paleoclimate Science Center, Reston, VA
Hydrologist (2004-2006). U.S. Geological Survey, Isotope Tracers Group, Water Resources Division, Menlo Park, CA
Postdoctoral Research Associate, National Research Council (NRC) (2002-2004). U.S. Geological Survey, Isotope Tracers Group, Water Resources Division, Menlo Park, CA
Project Analyst (2001). Lands and Minerals Division, Minnesota Department of Natural Resources (MN-DNR).
Education and Certifications
Ph.D. (2002) in Hydrogeology/Geochemistry, with Doctoral Minor in Water Resources Science, University of Minnesota, Dept. of Geology and Geophysics, Minneapolis, MN
Bachelor of Arts (1994) in Geology, Minor in Environmental Studies, Colgate University, Hamilton, NY (Magna Cum Laude, Phi Beta Kappa)
Science and Products
Filter Total Items: 55
Closed depression density in karst regions of the conterminous United States: features and grid data
Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at defining a ka
Enhanced Terrain Imagery of the Allentown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution
This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Allentown 30 x 60 minute quadrangle in Pennsylvania and part of New Jersey. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acqui
Lidar-derived closed depression vector data and density raster in karst areas of Monroe County, West Virginia
Monroe County in southeastern West Virginia hosts world-class karst within carbonate units of Mississippian and Ordovician age. Lidar-derived elevation data acquired in late December of 2016 were used to create a 3-meter resolution working digital elevation model (DEM), from which surface depressions were identified using a semi-automated workflow in ArcGIS. Depressions in the automated inventory
Enhanced Terrain Imagery of the Pepacton Reservoir 30 x 60 Minute Quadrangle from Lidar-derived Elevation Models at 3 Meter Resolution
This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Pepacton Reservoir 30 x 60 minute quadrangle in New York and covers part of the Delaware River Basin. The source data used to construct this imagery consist of 1 meter and 2 meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from different acquisitions published between
Enhanced Terrain Imagery of the Monticello 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution
This imagery dataset consists of 3-meter resolution, Lidar-derived imagery of the Monticello 30 x 60 minute quadrangle in New York and covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEM). The Lidar source data were compiled from different acquisitions published between 2005 a
Enhanced Terrain Imagery of the Winchester 30 x 60 Minute Quadrangle from Lidar-derived Elevation Models at 3 Meter Resolution
This imagery dataset consists of 3 meter resolution, Lidar-derived imagery of the Winchester 30 x 60 minute quadrangle in northern Virginia, West Virginia, and western Maryland. The source data used to construct this imagery consists of 1 meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from different acquisitions published between 2011 and 2019. T
GIS data for predicting the occurrence of cave-inhabiting fauna based on features of the Earth surface environment in the Appalachian Landscape Conservation Cooperative (LCC) Region
Cave-limited species display patchy and restricted distributions, but are challenging to study in situ because of the difficulty of sampling. It is often unclear whether the observed distribution is a sampling artifact or a true restriction in range. Further, the drivers of the distribution could be local environmental conditions, such as cave humidity, or they could be associated with surface fea
Filter Total Items: 32
Science and Products
Filter Total Items: 55
Closed depression density in karst regions of the conterminous United States: features and grid data
Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at defining a ka
Enhanced Terrain Imagery of the Allentown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution
This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Allentown 30 x 60 minute quadrangle in Pennsylvania and part of New Jersey. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acqui
Lidar-derived closed depression vector data and density raster in karst areas of Monroe County, West Virginia
Monroe County in southeastern West Virginia hosts world-class karst within carbonate units of Mississippian and Ordovician age. Lidar-derived elevation data acquired in late December of 2016 were used to create a 3-meter resolution working digital elevation model (DEM), from which surface depressions were identified using a semi-automated workflow in ArcGIS. Depressions in the automated inventory
Enhanced Terrain Imagery of the Pepacton Reservoir 30 x 60 Minute Quadrangle from Lidar-derived Elevation Models at 3 Meter Resolution
This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Pepacton Reservoir 30 x 60 minute quadrangle in New York and covers part of the Delaware River Basin. The source data used to construct this imagery consist of 1 meter and 2 meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from different acquisitions published between
Enhanced Terrain Imagery of the Monticello 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution
This imagery dataset consists of 3-meter resolution, Lidar-derived imagery of the Monticello 30 x 60 minute quadrangle in New York and covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEM). The Lidar source data were compiled from different acquisitions published between 2005 a
Enhanced Terrain Imagery of the Winchester 30 x 60 Minute Quadrangle from Lidar-derived Elevation Models at 3 Meter Resolution
This imagery dataset consists of 3 meter resolution, Lidar-derived imagery of the Winchester 30 x 60 minute quadrangle in northern Virginia, West Virginia, and western Maryland. The source data used to construct this imagery consists of 1 meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from different acquisitions published between 2011 and 2019. T
GIS data for predicting the occurrence of cave-inhabiting fauna based on features of the Earth surface environment in the Appalachian Landscape Conservation Cooperative (LCC) Region
Cave-limited species display patchy and restricted distributions, but are challenging to study in situ because of the difficulty of sampling. It is often unclear whether the observed distribution is a sampling artifact or a true restriction in range. Further, the drivers of the distribution could be local environmental conditions, such as cave humidity, or they could be associated with surface fea
Filter Total Items: 32