Jeffrey Wendel (Former Employee)
Science and Products
Similarity assessment of linear hydrographic features using high performance computing
This work discusses a current open source implementation of a line similarity assessment workflow to compare elevation-derived drainage lines with the high-resolution National Hydrography Dataset (NHD) surface-water flow network. The process identifies matching and mismatching lines in each dataset to help focus subsequent validation procedures to areas of the NHD that more critically...
Authors
Larry V. Stanislawski, Jeffrey Wendel, Ethan J. Shavers, Ting Li
An open source high-performance solution to extract surface water drainage networks from diverse terrain conditions
This paper describes a workflow for automating the extraction of elevation-derived stream lines using open source tools with parallel computing support and testing the effectiveness of procedures in various terrain conditions within the conterminous United States. Drainage networks are extracted from the US Geological Survey 1/3 arc-second 3D Elevation Program elevation data having a...
Authors
Larry V. Stanislawski, Kornelijus Survila, Jeffrey Wendel, Yan Liu, Barbara P. Buttenfield
TopoLens: Building a cyberGIS community data service for enhancing the usability of high-resolution National Topographic datasets
Geospatial data, often embedded with geographic references, are important to many application and science domains, and represent a major type of big data. The increased volume and diversity of geospatial data have caused serious usability issues for researchers in various scientific domains, which call for innovative cyberGIS solutions. To address these issues, this paper describes a...
Authors
Hao Hu, Xingchen Hong, Jeff Terstriep, Yan Liu, Michael P. Finn, Johnathan Rush, Jeffrey Wendel, Shaowen Wang
High performance computing to support multiscale representation of hydrography for the conterminous United States
The National Hydrography Dataset (NHD) for the United States furnishes a comprehensive set of vector features representing the surface-waters in the country (U.S. Geological Survey 2000). The high-resolution (HR) layer of the NHD is largely comprised of hydrographic features originally derived from 1:24,000-scale (24K) U.S. Topographic maps. However, in recent years (2009 to present)...
Authors
Larry V. Stanislawski, Yan Liu, Barbara P. Buttenfield, Kornelijus Survila, Jeffrey Wendel, Abdurraouf Okok
Science and Products
Similarity assessment of linear hydrographic features using high performance computing
This work discusses a current open source implementation of a line similarity assessment workflow to compare elevation-derived drainage lines with the high-resolution National Hydrography Dataset (NHD) surface-water flow network. The process identifies matching and mismatching lines in each dataset to help focus subsequent validation procedures to areas of the NHD that more critically...
Authors
Larry V. Stanislawski, Jeffrey Wendel, Ethan J. Shavers, Ting Li
An open source high-performance solution to extract surface water drainage networks from diverse terrain conditions
This paper describes a workflow for automating the extraction of elevation-derived stream lines using open source tools with parallel computing support and testing the effectiveness of procedures in various terrain conditions within the conterminous United States. Drainage networks are extracted from the US Geological Survey 1/3 arc-second 3D Elevation Program elevation data having a...
Authors
Larry V. Stanislawski, Kornelijus Survila, Jeffrey Wendel, Yan Liu, Barbara P. Buttenfield
TopoLens: Building a cyberGIS community data service for enhancing the usability of high-resolution National Topographic datasets
Geospatial data, often embedded with geographic references, are important to many application and science domains, and represent a major type of big data. The increased volume and diversity of geospatial data have caused serious usability issues for researchers in various scientific domains, which call for innovative cyberGIS solutions. To address these issues, this paper describes a...
Authors
Hao Hu, Xingchen Hong, Jeff Terstriep, Yan Liu, Michael P. Finn, Johnathan Rush, Jeffrey Wendel, Shaowen Wang
High performance computing to support multiscale representation of hydrography for the conterminous United States
The National Hydrography Dataset (NHD) for the United States furnishes a comprehensive set of vector features representing the surface-waters in the country (U.S. Geological Survey 2000). The high-resolution (HR) layer of the NHD is largely comprised of hydrographic features originally derived from 1:24,000-scale (24K) U.S. Topographic maps. However, in recent years (2009 to present)...
Authors
Larry V. Stanislawski, Yan Liu, Barbara P. Buttenfield, Kornelijus Survila, Jeffrey Wendel, Abdurraouf Okok