Sandra Poppenga (Former Employee)
Science and Products
Filter Total Items: 17
EDNA Stage 1 Blind Pass Processing Steps
Using well-tested GIS techniques, the NED database is being processed into a Stage 1 EDNA product. The bulk of this work is being done by the National Weather Service's Severe Storms Laboratory (NSSL) in Norman, Oklahoma. Additional processing is currently being provided by the USGS WRD office in Sacramento, California.
EDNA Methodology
The development of the EDNA database is proceeding in three stages:
Coastal National Elevation Database (CoNED) Applications Project
High-resolution coastal elevation data is required to identify flood, hurricane, and sea-level rise inundation hazard zones and other earth science applications, such as the development of sediment transport and storm surge models. Light detection and ranging (lidar) enables the rapid collection of very accurate elevation data over large areas, and during the last decade, airborne laser altimetry...
USGS EROS Archive - Digital Elevation - Coastal National Elevation Database (CoNED) Project - Topobathymetric Digital Elevation Model (TBDEM)
The Coastal National Elevation Database (CoNED) Project - topobathymetric digital elevation models (TBDEMs) are merged renderings of both topography (land elevation) and bathymetry (water depth) to provide seamless elevation products for select coastal regions in the United States (2011-present).
Coastal National Elevation Database (CoNED) Applications
The Coastal National Elevation Database (CoNED) and Applications project at EROS offers information used for a range of applications analysis needed for climate change analysis.
Filter Total Items: 18
Using selective drainage methods to hydrologically-condition and hydrologically-enforce lidar-derived surface flow
The methods to extract surface flow from coarse elevation data are well documented; however, the methods to extract surface flow from high-resolution, high-vertical accuracy digital elevation models (DEMs) derived from light detection and ranging (lidar) are less documented, but yet more complex. As lidar data are increasingly used to generate DEMS, the demand for lidar-derived surface flow escala
Authors
Sandra K. Poppenga, Bruce Worstell, Jason M. Stoker, Susan Greenlee
Topographic Science
The mission of U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center Topographic Science is to establish partnerships and conduct research and applications that facilitate the development and use of integrated national and global topographic datasets. Topographic Science includes a wide range of research and applications that result in improved seamless topographic da
Authors
Sandra K. Poppenga, Gayla Evans, Dean Gesch, Jason M. Stoker, Vivian R. Queija, Bruce Worstell, Dean J. Tyler, Jeff Danielson, Norman Bliss, Susan Greenlee
Using Selective Drainage Methods to Extract Continuous Surface Flow from 1-Meter Lidar-Derived Digital Elevation Data
Digital elevation data commonly are used to extract surface flow features. One source for high-resolution elevation data is light detection and ranging (lidar). Lidar can capture a vast amount of topographic detail because of its fine-scale ability to digitally capture the surface of the earth. Because elevation is a key factor in extracting surface flow features, high-resolution lidar-derived dig
Authors
Sandra K. Poppenga, Bruce B. Worstell, Jason M. Stoker, Susan K. Greenlee
Comparison of Surface Flow Features from Lidar-Derived Digital Elevation Models with Historical Elevation and Hydrography Data for Minnehaha County, South Dakota
The U.S. Geological Survey (USGS) has taken the lead in the creation of a valuable remote sensing product by incorporating digital elevation models (DEMs) derived from Light Detection and Ranging (lidar) into the National Elevation Dataset (NED), the elevation layer of 'The National Map'. High-resolution lidar-derived DEMs provide the accuracy needed to systematically quantify and fully integrate
Authors
Sandra K. Poppenga, Bruce B. Worstell, Jason M. Stoker, Susan K. Greenlee
Elevation-derived watershed basins and characteristics for major rivers of the conterminous United States
The U.S. Geological Survey Earth Resources Observation and Science Center Topographic Science Project has developed elevation-derived watershed basins and characteristics for major rivers of the conterminous United States. Watershed basins are delineated upstream from the mouth of major rivers by using the hydrologic connectivity of the Elevation Derivatives for National Applications (EDNA) seamle
Authors
S.K. Poppenga, B.B. Worstell
The USGS/EROS Data Center produces seamless hydrologic derivatives with GIS
Increasingly, many local, state, and federal agencies mandated to manage water resources are finding that their needs are not being met by existing digital data sets. Current national coverage of digital data sets, such as drainage basin boundaries and consistent elevation-derived parameters, does not exist or is not of a suitable scale or consistency to allow management of small or midsize waters
Authors
Sandra K. Franken
Science and Products
Filter Total Items: 17
EDNA Stage 1 Blind Pass Processing Steps
Using well-tested GIS techniques, the NED database is being processed into a Stage 1 EDNA product. The bulk of this work is being done by the National Weather Service's Severe Storms Laboratory (NSSL) in Norman, Oklahoma. Additional processing is currently being provided by the USGS WRD office in Sacramento, California.
EDNA Methodology
The development of the EDNA database is proceeding in three stages:
Coastal National Elevation Database (CoNED) Applications Project
High-resolution coastal elevation data is required to identify flood, hurricane, and sea-level rise inundation hazard zones and other earth science applications, such as the development of sediment transport and storm surge models. Light detection and ranging (lidar) enables the rapid collection of very accurate elevation data over large areas, and during the last decade, airborne laser altimetry...
USGS EROS Archive - Digital Elevation - Coastal National Elevation Database (CoNED) Project - Topobathymetric Digital Elevation Model (TBDEM)
The Coastal National Elevation Database (CoNED) Project - topobathymetric digital elevation models (TBDEMs) are merged renderings of both topography (land elevation) and bathymetry (water depth) to provide seamless elevation products for select coastal regions in the United States (2011-present).
Coastal National Elevation Database (CoNED) Applications
The Coastal National Elevation Database (CoNED) and Applications project at EROS offers information used for a range of applications analysis needed for climate change analysis.
Filter Total Items: 18
Using selective drainage methods to hydrologically-condition and hydrologically-enforce lidar-derived surface flow
The methods to extract surface flow from coarse elevation data are well documented; however, the methods to extract surface flow from high-resolution, high-vertical accuracy digital elevation models (DEMs) derived from light detection and ranging (lidar) are less documented, but yet more complex. As lidar data are increasingly used to generate DEMS, the demand for lidar-derived surface flow escala
Authors
Sandra K. Poppenga, Bruce Worstell, Jason M. Stoker, Susan Greenlee
Topographic Science
The mission of U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center Topographic Science is to establish partnerships and conduct research and applications that facilitate the development and use of integrated national and global topographic datasets. Topographic Science includes a wide range of research and applications that result in improved seamless topographic da
Authors
Sandra K. Poppenga, Gayla Evans, Dean Gesch, Jason M. Stoker, Vivian R. Queija, Bruce Worstell, Dean J. Tyler, Jeff Danielson, Norman Bliss, Susan Greenlee
Using Selective Drainage Methods to Extract Continuous Surface Flow from 1-Meter Lidar-Derived Digital Elevation Data
Digital elevation data commonly are used to extract surface flow features. One source for high-resolution elevation data is light detection and ranging (lidar). Lidar can capture a vast amount of topographic detail because of its fine-scale ability to digitally capture the surface of the earth. Because elevation is a key factor in extracting surface flow features, high-resolution lidar-derived dig
Authors
Sandra K. Poppenga, Bruce B. Worstell, Jason M. Stoker, Susan K. Greenlee
Comparison of Surface Flow Features from Lidar-Derived Digital Elevation Models with Historical Elevation and Hydrography Data for Minnehaha County, South Dakota
The U.S. Geological Survey (USGS) has taken the lead in the creation of a valuable remote sensing product by incorporating digital elevation models (DEMs) derived from Light Detection and Ranging (lidar) into the National Elevation Dataset (NED), the elevation layer of 'The National Map'. High-resolution lidar-derived DEMs provide the accuracy needed to systematically quantify and fully integrate
Authors
Sandra K. Poppenga, Bruce B. Worstell, Jason M. Stoker, Susan K. Greenlee
Elevation-derived watershed basins and characteristics for major rivers of the conterminous United States
The U.S. Geological Survey Earth Resources Observation and Science Center Topographic Science Project has developed elevation-derived watershed basins and characteristics for major rivers of the conterminous United States. Watershed basins are delineated upstream from the mouth of major rivers by using the hydrologic connectivity of the Elevation Derivatives for National Applications (EDNA) seamle
Authors
S.K. Poppenga, B.B. Worstell
The USGS/EROS Data Center produces seamless hydrologic derivatives with GIS
Increasingly, many local, state, and federal agencies mandated to manage water resources are finding that their needs are not being met by existing digital data sets. Current national coverage of digital data sets, such as drainage basin boundaries and consistent elevation-derived parameters, does not exist or is not of a suitable scale or consistency to allow management of small or midsize waters
Authors
Sandra K. Franken