Samantha T Arundel, PhD
Dr. Samantha T. Arundel is a research geographer in the Center of Excellence for Geospatial Information Science at the U.S. Geological Survey. Her research focuses on automating physical feature mapping and modeling using various techniques like traditional raster modeling, GEOBIA and machine learning.
Dr. Samantha T. Arundel (Sam) received her Ph.D. in geography from Arizona State University in 2000 and was an assistant and then associate professor at Northern Arizona University where her research focused on spatial modeling and automation of plant/climate relationships. In 2009, when she joined the USGS, she first served as raster specialist in the Ortho & Elevation section and as elevation and hydrography specialist for the Applied Research and Technology Branch. During this time, she led the contour generation development team in developing algorithms for automating contour production from 10-meter elevation data for the USTopo product; and served as the program manager for the automation of the National Elevation Dataset production, in its transition from Earth Resource Observation System (EROS) to the National Geospatial Technical Operations Center (NGTOC). In 2015, Sam moved to the Center of Excellence for Geospatial Information Science, the research section of the NGTOC, where she is a Research Geographer conducting research on automated terrain mapping and modeling using various techniques like traditional raster modeling, geographic object-based image analysis and machine learning.
Science and Products
Filter Total Items: 30
Validating the use of object-based image analysis to map commonly-recognized landform features in the United States
The U.S. Geological Survey (USGS) National Geospatial Program (NGP) seeks to i) create semantically-accessible terrain features from the pixel-based 3D Elevation Program (3DEP) data, and ii) enhance the usability of the USGS Geographic Names Information System (GNIS) by associating boundaries with GNIS features whose spatial representation is currently limited to 2D point locations...
Authors
Samantha Arundel, Gaurav Sinha
A reference landform ontology for automated delineation of depression landforms from DEMs
Abstract The landform reference ontology (LFRO) is being developed to formalize ontological distinctions underlying naïve geographic cognition and reasoning about landforms. The LFRO taxonomy is currently based only on form-based distinctions. In this significantly revised version, several new categories have been added to explicate ontological distinctions related to material-spatial...
Authors
Gaurav Sinha, Samantha Arundel, Torsten Hahmann, E. Lynn Usery, Kathleen C. Stewart, David Mark
The National Map seamless digital elevation model specifications
This specification documents the requirements and standards used to produce the seamless elevation layers for The National Map of the United States. Seamless elevation data are available for the conterminous United States, Hawaii, Alaska, and the U.S. territories, in three different resolutions—1/3-arc-second, 1-arc-second, and 2-arc-second. These specifications include requirements and...
Authors
Christy-Ann Archuleta, Eric W. Constance, Samantha Arundel, Amanda J. Lowe, Kimberly S. Mantey, Lori A. Phillips
1-Meter Digital Elevation Model specification
In January 2015, the U.S. Geological Survey National Geospatial Technical Operations Center began producing the 1-Meter Digital Elevation Model data product. This new product was developed to provide high resolution bare-earth digital elevation models from light detection and ranging (lidar) elevation data and other elevation data collected over the conterminous United States (lower 48...
Authors
Samantha Arundel, Christy-Ann Archuleta, Lori A. Phillips, Brittany Roche, Eric W. Constance
Alaska national hydrography dataset positional accuracy assessment study
Initial visual assessments Wide range in the quality of fit between features in NHD and these new image sources. No statistical analysis has been performed to actually quantify accuracy Determining absolute accuracy is cost prohibitive (must collect independent, well defined test points) Quantitative analysis of relative positional error is feasible.
Authors
Samantha Arundel, Kristina H. Yamamoto, Eric W. Constance, Kimberly S. Mantey, Jeremy Vinyard-Houx
Carbon isotopes from fossil packrat pellets and elevational movements of Utah agave plants reveal the Younger Dryas cold period in Grand Canyon, Arizona
Carbon isotopes in rodent fecal pellets were measured on packrat (Neotoma spp.) middens from the Grand Canyon, Arizona. The pellet samples reflect the abundance of cold-intolerant C4 and Crassulacean acid metabolism (CAM) plant species relative to the predominant C3 vegetation in the packrat diet. The temporal sequence of isotopic results suggests a temperature decline followed by a...
Authors
K.L. Cole, S.T. Arundel
Non-USGS Publications**
"Cole, K. L., Cannella, J., Coats, L., Arundel, S.T., Mead, J. and Fisher, J. 2008. “The biogeographic histories of Pinus monophylla and Pinus edulis over the last 50,000 years.” Journal of Biogeography 35:257-269.
Cole, K.L. and Arundel, S.T. 2007. “Modeling the climatic requirements for Southwestern plant species.” Proceedings of the Twenty-First Annual Pacific Climate Workshop, Technical Report 79 (ed. by S.W. Starratt, P. Cornelius and J.G. Joelson Jr.), pp. 31-39. Interagency Ecological Program for the San Francisco Estuary, State of California, Sacramento, California.
Cole, K.L., Ironside, K., Arundel, S.T., Duffy, P. and Shaw, J. 2007. “Modeling future plant distributions on the Colorado Plateau: an example using Pinus edulis.” The Colorado Plateau III: integrating research and resources management for effective conservation (ed. by C. van Riper III and M. Sogge), pp. 319-330. University of Arizona Press, Tucson.
Cole, K.L., Ironside, K., Arundel, S.T., Duffy, P. and Shaw, J. 2007. “Projecting the Future Distribution of Pinyon Pine.” White Paper for the Arizona Governor.
Cole, K.L. and Arundel, S.T. 2007.” Modeling the climatic requirements for Southwestern plant species.” Proceedings of the Twenty-First Annual Pacific Climate Workshop, Technical Report 79 (ed. by S.W. Starratt, P. Cornelius and J.G. Joelson Jr.), pp. 31-39. Interagency Ecological Program for the San Francisco Estuary, State of California, Sacramento, California.
Arundel, S. T. 2005. “Using Spatial Models to Establish Climatic Limiters of Plant Species’ Distributions.” Ecological Modelling 162:159-181.
Arundel, S.T. and Cole, K.L. 2004. “The Need for More Precise, Accurate, and Complete Plant Distribution Data, and Its Importance in Reconstructing Past Climates,” Annual Meeting of the American Geophysical Union Proceedings, San Francisco, December.
Cole, K.L., Ferguson, G., Cannella, J., Spellenburg, R., Saunders, A., Arundel, S.T. & Riser, J. 2003. “Digital rangemaps for North American one and two-needled pinyon pines (Pinus monophylla, P. edulis, and fallax and californiarum-types).”
Arundel, S.T. 2002. “Modeling Plant Species’ Climatic Limiters to Analyze Macrofossils in Sonoran Desert Packrat Middens.” Quaternary Research, 58(2):112-121."
**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
Filter Total Items: 30
Validating the use of object-based image analysis to map commonly-recognized landform features in the United States
The U.S. Geological Survey (USGS) National Geospatial Program (NGP) seeks to i) create semantically-accessible terrain features from the pixel-based 3D Elevation Program (3DEP) data, and ii) enhance the usability of the USGS Geographic Names Information System (GNIS) by associating boundaries with GNIS features whose spatial representation is currently limited to 2D point locations...
Authors
Samantha Arundel, Gaurav Sinha
A reference landform ontology for automated delineation of depression landforms from DEMs
Abstract The landform reference ontology (LFRO) is being developed to formalize ontological distinctions underlying naïve geographic cognition and reasoning about landforms. The LFRO taxonomy is currently based only on form-based distinctions. In this significantly revised version, several new categories have been added to explicate ontological distinctions related to material-spatial...
Authors
Gaurav Sinha, Samantha Arundel, Torsten Hahmann, E. Lynn Usery, Kathleen C. Stewart, David Mark
The National Map seamless digital elevation model specifications
This specification documents the requirements and standards used to produce the seamless elevation layers for The National Map of the United States. Seamless elevation data are available for the conterminous United States, Hawaii, Alaska, and the U.S. territories, in three different resolutions—1/3-arc-second, 1-arc-second, and 2-arc-second. These specifications include requirements and...
Authors
Christy-Ann Archuleta, Eric W. Constance, Samantha Arundel, Amanda J. Lowe, Kimberly S. Mantey, Lori A. Phillips
1-Meter Digital Elevation Model specification
In January 2015, the U.S. Geological Survey National Geospatial Technical Operations Center began producing the 1-Meter Digital Elevation Model data product. This new product was developed to provide high resolution bare-earth digital elevation models from light detection and ranging (lidar) elevation data and other elevation data collected over the conterminous United States (lower 48...
Authors
Samantha Arundel, Christy-Ann Archuleta, Lori A. Phillips, Brittany Roche, Eric W. Constance
Alaska national hydrography dataset positional accuracy assessment study
Initial visual assessments Wide range in the quality of fit between features in NHD and these new image sources. No statistical analysis has been performed to actually quantify accuracy Determining absolute accuracy is cost prohibitive (must collect independent, well defined test points) Quantitative analysis of relative positional error is feasible.
Authors
Samantha Arundel, Kristina H. Yamamoto, Eric W. Constance, Kimberly S. Mantey, Jeremy Vinyard-Houx
Carbon isotopes from fossil packrat pellets and elevational movements of Utah agave plants reveal the Younger Dryas cold period in Grand Canyon, Arizona
Carbon isotopes in rodent fecal pellets were measured on packrat (Neotoma spp.) middens from the Grand Canyon, Arizona. The pellet samples reflect the abundance of cold-intolerant C4 and Crassulacean acid metabolism (CAM) plant species relative to the predominant C3 vegetation in the packrat diet. The temporal sequence of isotopic results suggests a temperature decline followed by a...
Authors
K.L. Cole, S.T. Arundel
Non-USGS Publications**
"Cole, K. L., Cannella, J., Coats, L., Arundel, S.T., Mead, J. and Fisher, J. 2008. “The biogeographic histories of Pinus monophylla and Pinus edulis over the last 50,000 years.” Journal of Biogeography 35:257-269.
Cole, K.L. and Arundel, S.T. 2007. “Modeling the climatic requirements for Southwestern plant species.” Proceedings of the Twenty-First Annual Pacific Climate Workshop, Technical Report 79 (ed. by S.W. Starratt, P. Cornelius and J.G. Joelson Jr.), pp. 31-39. Interagency Ecological Program for the San Francisco Estuary, State of California, Sacramento, California.
Cole, K.L., Ironside, K., Arundel, S.T., Duffy, P. and Shaw, J. 2007. “Modeling future plant distributions on the Colorado Plateau: an example using Pinus edulis.” The Colorado Plateau III: integrating research and resources management for effective conservation (ed. by C. van Riper III and M. Sogge), pp. 319-330. University of Arizona Press, Tucson.
Cole, K.L., Ironside, K., Arundel, S.T., Duffy, P. and Shaw, J. 2007. “Projecting the Future Distribution of Pinyon Pine.” White Paper for the Arizona Governor.
Cole, K.L. and Arundel, S.T. 2007.” Modeling the climatic requirements for Southwestern plant species.” Proceedings of the Twenty-First Annual Pacific Climate Workshop, Technical Report 79 (ed. by S.W. Starratt, P. Cornelius and J.G. Joelson Jr.), pp. 31-39. Interagency Ecological Program for the San Francisco Estuary, State of California, Sacramento, California.
Arundel, S. T. 2005. “Using Spatial Models to Establish Climatic Limiters of Plant Species’ Distributions.” Ecological Modelling 162:159-181.
Arundel, S.T. and Cole, K.L. 2004. “The Need for More Precise, Accurate, and Complete Plant Distribution Data, and Its Importance in Reconstructing Past Climates,” Annual Meeting of the American Geophysical Union Proceedings, San Francisco, December.
Cole, K.L., Ferguson, G., Cannella, J., Spellenburg, R., Saunders, A., Arundel, S.T. & Riser, J. 2003. “Digital rangemaps for North American one and two-needled pinyon pines (Pinus monophylla, P. edulis, and fallax and californiarum-types).”
Arundel, S.T. 2002. “Modeling Plant Species’ Climatic Limiters to Analyze Macrofossils in Sonoran Desert Packrat Middens.” Quaternary Research, 58(2):112-121."
**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.