Sandra Poppenga (Former Employee)
Science and Products
Filter Total Items: 17
Hydrologic-Enforcement of Lidar DEMs
Hydrologic connectivity of light detection and ranging (lidar)-derived elevation data is critical for coastal hydrologic modeling applications. However, unless hydrologically-enforced, raised structures (i.e. bridges, roads overlaying culverts) can block overland flow to coastal waters. Because highly detailed lidar-derived elevation surfaces include features such as bridge decks and road fill...
Satellite-Derived Bathymetry
Defining near-shore water depth (bathymetry) is problematic because ships cannot operate close to the shore while collecting acoustic bathymetric soundings. Alternatively, optical green laser lidar sensors have been used to collect bathymetric points, however, these types of lidar acquisitions are costly for the footprint collected and are subject to bathymetric inaccuracies in turbid water...
River bathymetry
This image is a topobathymetric elevation model of a part of the Mississippi River in New Orleans, Louisiana, and is an example of inland bathymetry in the northern Gulf of America. This regional topobathymetric elevation model includes airborne light detection and ranging (lidar) point clouds, hydrographic surveys, side-scan sonar surveys, and multibeam surveys obtained from USGS, NOAA, the State...
EDNA Stage 1B Seamless Process
The EDNA Stage1B process involves collecting the raw data from the EDNA cooperators, performing QA/QC checks on the raw data, and preparing the data for Stage II of the project. ArcInfo amls are executed to create the seamless database, and ArcView tools are utilized to determine seamless accuracy. The Stage 1B database development provides seamless drainage basin delineations and synthetic...
EDNA Stage 3 Processing Steps (Conflation)
The results from the Stage 2 delineation will be incorporated into the EDNA development process. Drainage basin areas and synthetic streamline locations found to be in error at Stage 2 will be reanalyzed and, if necessary, the DEM will be reprocessed to ensure that the newly derived streamlines and basin boundaries are consistent with those developed in Stage 2. Delineations derived in this...
EDNA Stage 2 Vector Editing
The delineations produced in Stage 1 are passed on to appropriate cooperators, who will provide an intensive QA/QC. The derived watersheds will be overlain on 1:24,000 map sheets (as DRGs) and the watershed boundaries will be revised using standard vector editing techniques. These revised boundaries will provide the Stage 2 delineation. Watershed areas found to be in conflict with the DRGs will be...
Vertical Land Change in Select Counties of Kentucky, Minnesota, and Wisconsin Vertical Land Change in Select Counties of Kentucky, Minnesota, and Wisconsin
The Vertical Land Change project is an assessment of the impacts of surface mining in Perry County, Kentucky, the Mesabi Iron Range in northeastern Minnesota, and the west central part of Wisconsin. This project builds and expands upon previous vertical land change efforts (Gesch, 2006) by conducting research into the issues surrounding the integration of 3D data products with 2D remote...
Filter Total Items: 19
Hydrologic connectivity: Quantitative assessments of hydrologic-enforced drainage structures in an elevation model Hydrologic connectivity: Quantitative assessments of hydrologic-enforced drainage structures in an elevation model
Elevation data derived from light detection and ranging present challenges for hydrologic modeling as the elevation surface includes bridge decks and elevated road features overlaying culvert drainage structures. In reality, water is carried through these structures; however, in the elevation surface these features impede modeled overland surface flow. Thus, a hydrologically-enforced...
Authors
Sandra K. Poppenga, Bruce B. Worstell
Creating a Coastal National Elevation Database (CoNED) for science and conservation applications Creating a Coastal National Elevation Database (CoNED) for science and conservation applications
The U.S. Geological Survey is creating the Coastal National Elevation Database, an expanding set of topobathymetric elevation models that extend seamlessly across coastal regions of high societal or ecological significance in the United States that are undergoing rapid change or are threatened by inundation hazards. Topobathymetric elevation models are raster datasets useful for...
Authors
Cindy A. Thatcher, John Brock, Jeffrey J. Danielson, Sandra K. Poppenga, Dean B. Gesch, Monica Palaseanu-Lovejoy, John Barras, Gayla A. Evans, Ann Gibbs
Evaluation of airborne lidar elevation surfaces for propagation of coastal inundation: the importance of hydrologic connectivity Evaluation of airborne lidar elevation surfaces for propagation of coastal inundation: the importance of hydrologic connectivity
Detailed information about coastal inundation is vital to understanding dynamic and populated areas that are impacted by storm surge and flooding. To understand these natural hazard risks, lidar elevation surfaces are frequently used to model inundation in coastal areas. A single-value surface method is sometimes used to inundate areas in lidar elevation surfaces that are below a...
Authors
Sandra K. Poppenga, Bruce B. Worstell
Lidar point density analysis: implications for identifying water bodies Lidar point density analysis: implications for identifying water bodies
Most airborne topographic light detection and ranging (lidar) systems operate within the near-infrared spectrum. Laser pulses from these systems frequently are absorbed by water and therefore do not generate reflected returns on water bodies in the resulting void regions within the lidar point cloud. Thus, an analysis of lidar voids has implications for identifying water bodies. Data...
Authors
Bruce B. Worstell, Sandra K. Poppenga, Gayla A. Evans, Sandra Prince
Hydrologic enforcement of lidar DEMs Hydrologic enforcement of lidar DEMs
Hydrologic-enforcement (hydro-enforcement) of light detection and ranging (lidar)-derived digital elevation models (DEMs) modifies the elevations of artificial impediments (such as road fills or railroad grades) to simulate how man-made drainage structures such as culverts or bridges allow continuous downslope flow. Lidar-derived DEMs contain an extremely high level of topographic detail...
Authors
Sandra K. Poppenga, Bruce B. Worstell, Jeffrey J. Danielson, John Brock, Gayla A. Evans, H. Karl Heidemann
Hydrography change detection: the usefulness of surface channels derived From LiDAR DEMs for updating mapped hydrography Hydrography change detection: the usefulness of surface channels derived From LiDAR DEMs for updating mapped hydrography
The 1:24,000-scale high-resolution National Hydrography Dataset (NHD) mapped hydrography flow lines require regular updating because land surface conditions that affect surface channel drainage change over time. Historically, NHD flow lines were created by digitizing surface water information from aerial photography and paper maps. Using these same methods to update nationwide NHD flow...
Authors
Sandra K. Poppenga, Dean B. Gesch, Bruce B. Worstell
Science and Products
Filter Total Items: 17
Hydrologic-Enforcement of Lidar DEMs
Hydrologic connectivity of light detection and ranging (lidar)-derived elevation data is critical for coastal hydrologic modeling applications. However, unless hydrologically-enforced, raised structures (i.e. bridges, roads overlaying culverts) can block overland flow to coastal waters. Because highly detailed lidar-derived elevation surfaces include features such as bridge decks and road fill...
Satellite-Derived Bathymetry
Defining near-shore water depth (bathymetry) is problematic because ships cannot operate close to the shore while collecting acoustic bathymetric soundings. Alternatively, optical green laser lidar sensors have been used to collect bathymetric points, however, these types of lidar acquisitions are costly for the footprint collected and are subject to bathymetric inaccuracies in turbid water...
River bathymetry
This image is a topobathymetric elevation model of a part of the Mississippi River in New Orleans, Louisiana, and is an example of inland bathymetry in the northern Gulf of America. This regional topobathymetric elevation model includes airborne light detection and ranging (lidar) point clouds, hydrographic surveys, side-scan sonar surveys, and multibeam surveys obtained from USGS, NOAA, the State...
EDNA Stage 1B Seamless Process
The EDNA Stage1B process involves collecting the raw data from the EDNA cooperators, performing QA/QC checks on the raw data, and preparing the data for Stage II of the project. ArcInfo amls are executed to create the seamless database, and ArcView tools are utilized to determine seamless accuracy. The Stage 1B database development provides seamless drainage basin delineations and synthetic...
EDNA Stage 3 Processing Steps (Conflation)
The results from the Stage 2 delineation will be incorporated into the EDNA development process. Drainage basin areas and synthetic streamline locations found to be in error at Stage 2 will be reanalyzed and, if necessary, the DEM will be reprocessed to ensure that the newly derived streamlines and basin boundaries are consistent with those developed in Stage 2. Delineations derived in this...
EDNA Stage 2 Vector Editing
The delineations produced in Stage 1 are passed on to appropriate cooperators, who will provide an intensive QA/QC. The derived watersheds will be overlain on 1:24,000 map sheets (as DRGs) and the watershed boundaries will be revised using standard vector editing techniques. These revised boundaries will provide the Stage 2 delineation. Watershed areas found to be in conflict with the DRGs will be...
Vertical Land Change in Select Counties of Kentucky, Minnesota, and Wisconsin Vertical Land Change in Select Counties of Kentucky, Minnesota, and Wisconsin
The Vertical Land Change project is an assessment of the impacts of surface mining in Perry County, Kentucky, the Mesabi Iron Range in northeastern Minnesota, and the west central part of Wisconsin. This project builds and expands upon previous vertical land change efforts (Gesch, 2006) by conducting research into the issues surrounding the integration of 3D data products with 2D remote...
Filter Total Items: 19
Hydrologic connectivity: Quantitative assessments of hydrologic-enforced drainage structures in an elevation model Hydrologic connectivity: Quantitative assessments of hydrologic-enforced drainage structures in an elevation model
Elevation data derived from light detection and ranging present challenges for hydrologic modeling as the elevation surface includes bridge decks and elevated road features overlaying culvert drainage structures. In reality, water is carried through these structures; however, in the elevation surface these features impede modeled overland surface flow. Thus, a hydrologically-enforced...
Authors
Sandra K. Poppenga, Bruce B. Worstell
Creating a Coastal National Elevation Database (CoNED) for science and conservation applications Creating a Coastal National Elevation Database (CoNED) for science and conservation applications
The U.S. Geological Survey is creating the Coastal National Elevation Database, an expanding set of topobathymetric elevation models that extend seamlessly across coastal regions of high societal or ecological significance in the United States that are undergoing rapid change or are threatened by inundation hazards. Topobathymetric elevation models are raster datasets useful for...
Authors
Cindy A. Thatcher, John Brock, Jeffrey J. Danielson, Sandra K. Poppenga, Dean B. Gesch, Monica Palaseanu-Lovejoy, John Barras, Gayla A. Evans, Ann Gibbs
Evaluation of airborne lidar elevation surfaces for propagation of coastal inundation: the importance of hydrologic connectivity Evaluation of airborne lidar elevation surfaces for propagation of coastal inundation: the importance of hydrologic connectivity
Detailed information about coastal inundation is vital to understanding dynamic and populated areas that are impacted by storm surge and flooding. To understand these natural hazard risks, lidar elevation surfaces are frequently used to model inundation in coastal areas. A single-value surface method is sometimes used to inundate areas in lidar elevation surfaces that are below a...
Authors
Sandra K. Poppenga, Bruce B. Worstell
Lidar point density analysis: implications for identifying water bodies Lidar point density analysis: implications for identifying water bodies
Most airborne topographic light detection and ranging (lidar) systems operate within the near-infrared spectrum. Laser pulses from these systems frequently are absorbed by water and therefore do not generate reflected returns on water bodies in the resulting void regions within the lidar point cloud. Thus, an analysis of lidar voids has implications for identifying water bodies. Data...
Authors
Bruce B. Worstell, Sandra K. Poppenga, Gayla A. Evans, Sandra Prince
Hydrologic enforcement of lidar DEMs Hydrologic enforcement of lidar DEMs
Hydrologic-enforcement (hydro-enforcement) of light detection and ranging (lidar)-derived digital elevation models (DEMs) modifies the elevations of artificial impediments (such as road fills or railroad grades) to simulate how man-made drainage structures such as culverts or bridges allow continuous downslope flow. Lidar-derived DEMs contain an extremely high level of topographic detail...
Authors
Sandra K. Poppenga, Bruce B. Worstell, Jeffrey J. Danielson, John Brock, Gayla A. Evans, H. Karl Heidemann
Hydrography change detection: the usefulness of surface channels derived From LiDAR DEMs for updating mapped hydrography Hydrography change detection: the usefulness of surface channels derived From LiDAR DEMs for updating mapped hydrography
The 1:24,000-scale high-resolution National Hydrography Dataset (NHD) mapped hydrography flow lines require regular updating because land surface conditions that affect surface channel drainage change over time. Historically, NHD flow lines were created by digitizing surface water information from aerial photography and paper maps. Using these same methods to update nationwide NHD flow...
Authors
Sandra K. Poppenga, Dean B. Gesch, Bruce B. Worstell