Peterson, B., Nelson, K. J., Seielstad, C., Stoker, J., Jolly, W. M., & Parsons, R. (2015). Automated integration of lidar into the LANDFIRE product suite. Remote Sensing Letters, 6(3), 247-256. doi:10.1080/2150704X.2015.1029086
Jason Stoker, Ph.D.
Biography
Dr. Jason Stoker is a US Geological Survey Physical Scientist for the National Geospatial Program. Jason oversees strategic planning, development and coordination of the 3D Elevation Program and science and application related data, tools, and services. Jason provides technical expertise, prepares roadmaps and plans for elevation products and services, and helps determine the long-term vision for 3DEP products and services. Prior to this position, for over twelve years he led the lidar research and development activities at USGS EROS Center in Sioux Falls, South Dakota. He was the founder of CLICK: the USGS Center for Lidar Information Coordination and Knowledge. Jason is the former Director of the Lidar Division of the American Society for Photogrammetry and Remote Sensing (ASPRS), and acts as Vice President of ASPRS in a personal capacity. Jason received his B.S and M.S from Colorado State University and his Ph.D from South Dakota State University.
Science and Products
Year Published: 2010
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...
Poppenga, Sandra K.; Worstell, Bruce B.; Stoker, Jason M.; Greenlee, Susan K.Attribution: Earth Resources Observation and Science (EROS) Center, Earth Resources Observation and Science Center
View Citation
Using Selective Drainage Methods to Extract Continuous Surface Flow from 1-Meter Lidar-Derived Digital Elevation Data; 2010; OFR; 2010-5059; Poppenga, Sandra K.; Worstell, Bruce B.; Stoker, Jason M.; Greenlee, Susan K.
Year Published: 2010
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...
Poppenga, Sandra K.; Worstell, Bruce B.; Stoker, Jason M.; Greenlee, Susan K.Attribution: Earth Resources Observation and Science (EROS) Center, Earth Resources Observation and Science Center, United States of America, Coastal Changes and Impacts
View Citation
Using Selective Drainage Methods to Extract Continuous Surface Flow from 1-Meter Lidar-Derived Digital Elevation Data; 2010; SIR; 2010-5059; Poppenga, Sandra K.; Worstell, Bruce B.; Stoker, Jason M.; Greenlee, Susan K.
Year Published: 2009
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...
Poppenga, Sandra K.; Worstell, Bruce B.; Stoker, Jason M.; Greenlee, Susan K.Attribution: Earth Resources Observation and Science (EROS) Center, Earth Resources Observation and Science Center, United States of America, Coastal Changes and Impacts
View Citation
Comparison of Surface Flow Features from Lidar-Derived Digital Elevation Models with Historical Elevation and Hydrography Data for Minnehaha County, South Dakota; 2009; SIR; 2009-5065; Poppenga, Sandra K.; Worstell, Bruce B.; Stoker, Jason M.; Greenlee, Susan K.
Year Published: 2009
Integrating disparate lidar datasets for a regional storm tide inundation analysis of Hurricane Katrina
Hurricane Katrina was one of the largest natural disasters in U.S. history. Due to the sheer size of the affected areas, an unprecedented regional analysis at very high resolution and accuracy was needed to properly quantify and understand the effects of the hurricane and the storm tide. Many disparate sources of lidar data were acquired and...
Stoker, Jason M.; Tyler, Dean J.; Turnipseed, D. Phil; Van Wilson, K.; Oimoen, Michael J.Attribution: Earth Resources Observation and Science (EROS) Center, Earth Resources Observation and Science Center
View Citation
Integrating disparate lidar datasets for a regional storm tide inundation analysis of hurricane katrina; 2009; Article; Journal; Journal of Coastal Research; Stoker, J. M.; Tyler, D. J.; Turnipseed, D. P.; Van Wilson, Jr. , K.; Oimoen, M. J.
Year Published: 2009
Volumetric visualization of multiple-return LIDAR data: Using voxels
Elevation data are an important component in the visualization and analysis of geographic information. The creation and display of 3D models representing bare earth, vegetation, and surface structures have become a major focus of light detection and ranging (lidar) remote sensing research in the past few years. Lidar is an active sensor that...
Stoker, Jason M.
Year Published: 2008
The need for a national LIDAR dataset
On May 21st and 22nd 2008, the U.S. Geological Survey (USGS), the National Aeronautics and Space Administration (NASA), and the Association of American State Geologists (AASG) hosted the Second National Light Detection and Ranging (Lidar) Initiative Strategy Meeting at USGS Headquarters in Reston, Virginia. The USGS is taking the lead in...
Stoker, Jason M.; Harding, David; Parrish, Jay
Year Published: 2008
Detection of foliage-obscured vehicle using a multiwavelength polarimetric lidar
Foliage obscured man-made targets detection and identification is of great interest to many applications. In this paper, the backscattered laser signals from a multiwavelength polarimetric lidar were used to detect a vehicle hidden inside a vegetated area. The Polarimetric reflectance data from the lidar at two separate laser wavelengths at 1064...
Tan, S.; Stoker, J.; Greenlee, S.Attribution: United States of America, Coastal Changes and Impacts
View Citation
Detection of foliage-obscured vehicle using a multiwavelength polarimetric lidar; 2008; Conference Paper; International Geoscience and Remote Sensing Symposium (IGARSS); Tan, S.; Stoker, J.; Greenlee, S.
Year Published: 2007
Report of the First National Lidar Initiative Meeting, February 14-16, Reston, Va.
The first National Lidar Initiative meeting was held on February 14-16, 2007 at the USGS National Center in Reston, Virginia. This meeting was a successor to a meeting held September 12, 2006 of several agencies, including the National Aeronautics and Space Administration (NASA), the Association of American State Geologists (AASG), and the U.S....
Stoker, Jason M.; Parrish, Jay; Gisclair, David; Harding, David; Haugerud, Ralph; Flood, Martin; Andersen, Hans-Erik; Schuckman, Karen; Maune, David; Rooney, Paul; Waters, Kirk; Habib, Ayman; Wiggins, Eddie; Ellingson, Bryon; Jones, Benjamin M.; Nechero, Steve; Nayegandhi, Amar; Saultz, Tim; Lee, GeorgeAttribution: Earth Resources Observation and Science (EROS) Center, Core Science Systems, Earth Resources Observation and Science Center, National Geospatial Program, United States of America, 3D Elevation Program, Coastal Changes and Impacts
View Citation
Report of the First National Lidar Initiative Meeting, February 14-16, Reston, Va.; 2007; OFR; 2007-1189; Stoker, Jason; Parrish, Jay; Gisclair, David; Harding, David; Haugerud, Ralph; Flood, Martin; Andersen, Hans-Erik; Schuckman, Karen; Maune, David; Rooney, Paul; Waters, Kirk; Habib, Ayman; Wiggins, Eddie; Ellingson, Bryon; Jones, Benjamin; Nechero, Steve; Nayegandhi, Amar; Saultz, Tim; Lee, George
Year Published: 2007
CLICK: The USGS Center for LIDAR Information Coordination & Knowledge
While this technology has proven its use as a mapping tool - effective for generating bare earth DEMs at high resolutions (1-3 m) and with high vertical accuracies (15-18 cm) - obstacles remain for its application as a remote sensing tool: * The high cost of collecting LIDAR * The steep learning curve on research and application of using the...
Menig, Jordan C.; Stoker, Jason M.Attribution: Earth Resources Observation and Science (EROS) Center, Earth Resources Observation and Science Center
View Citation
CLICK: The USGS Center for LIDAR Information Coordination & Knowledge; 2007; FS; 2006-3024; Menig, Jordan; Stoker, Jason
Year Published: 2006
CLICK: The new USGS center for LIDAR information coordination and knowledge
Elevation data is rapidly becoming an important tool for the visualization and analysis of geographic information. The creation and display of three-dimensional models representing bare earth, vegetation, and structures have become major requirements for geographic research in the past few years. Light Detection and Ranging (lidar) has been...
Stoker, Jason M.; Greenlee, Susan K.; Gesch, Dean B.; Menig, Jordan C.
Year Published: 2005
Collection and analysis of high-resolution elevation data for the Lincoln Lidar Project, Lincoln, Nebraska, 2004
The Lincoln Lidar Project was a partnership developed between the U.S. Geological Survey National Center for Earth Resources Observations and Science (EROS), Lancaster County and the city of Lincoln, Nebraska. This project demonstrated a successful planning, collection, analysis and integration of high-resolution elevation information using Light...
Meyer, P.D.; Greenlee, Susan K.; Gesch, Dean B.; Hubl, Erik J.; Axmann, Ryan N.Attribution: Earth Resources Observation and Science (EROS) Center, Earth Resources Observation and Science Center, United States of America, Coastal Changes and Impacts
View Citation
Collection and analysis of high-resolution elevation data for the Lincoln Lidar Project, Lincoln, Nebraska, 2004; 2005; OFR; 2005-1049; Stoker, Jason M. ; Greenlee, Susan K.; Gesch, Dean B.; Hubl, Erik J.; Axmann, Ryan N.
Year Published: 2005
Estimating stand structure using discrete-return lidar: an example from low density, fire prone ponderosa pine forests
The ponderosa pine forests of the Colorado Front Range, USA, have historically been subjected to wildfires. Recent large burns have increased public interest in fire behavior and effects, and scientific interest in the carbon consequences of wildfires. Remote sensing techniques can provide spatially explicit estimates of stand structural...
Hall, S. A.; Burke, I.C.; Box, D. O.; Kaufmann, M. R.; Stoker, Jason M.Pre-USGS Publications
Deering, C. A. and Stoker, J.M., (2014). Let's agree on the casing of lidar. LIDAR News Magazine, Vol. 4 No. 6:
Stoker, J. (2009). Visualization of Multiple-return Lidar Data: Using Voxels. Photogrammetric Engineering and Remote Sensing, 75(2), 109-112.