Predicting/Extrapolating Active Layer Thickness Using Statistical Learning from Remotely-Sensed High-resolution Data in Arctic Permafrost Landscapes: Improved parameterization of Ice-wedge polygons from LiDAR/WorldView-2 derived metrics

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ADS bibcode
2014AGUFMEP31A3517G
year
2014
Listed Authors
Gangodagamage, C.
Rowland, J. C.
Hubbard, S. S.
Brumby, S. P.
Liljedahl, A.
Wainwright, H. M.
Sloan, V. L.
Altmann, G.
Skurikhin, A. N.
Shelef, E.
Wilson, C. J.
Dafflon, B.
Peterson, J.
Ulrich, C.
Gibbs, A.
Tweedie, C. E.
Painter, S. L.
Wullschleger, S. D.
Listed Institutions
Los Alamos National Laboratory, Los Alamos, NM, United States
Los Alamos National Laboratory, Los Alamos, NM, United States
Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Los Alamos National Laboratory, Los Alamos, NM, United States
University of Alaska Fairbanks, Fairbanks, AK, United States
Lawrence Berkeley National Laboratory, Berkeley, CA, United States
ORNL, Bristol, United Kingdom
Los Alamos National Laboratory, Los Alamos, NM, United States
Los Alamos National Laboratory, Los Alamos, NM, United States
Stanford University, Stanford, CA, United States
Los Alamos National Lab, Los Alamos, NM, United States
Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Lawrence Berkeley National Laboratory, Berkeley, CA, United States
USGS California Water Science Center Menlo Park, Menlo Park, CA, United States
University of Texas at El Paso, El Paso, TX, United States
Los Alamos National Laboratory, Los Alamos, NM, United States
Oak Ridge National Laboratory, Oak Ridge, TN, United States

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