Quantifying spatial distribution of snow depth errors from LiDAR using Random Forest

Journal article

Peer reviewed

WT Tinkham, AMS Smith, HP Marshall, TE Link and MJ Falkowski

Remote Sensing of Environment, Vol.141, pp.105-115

02/01/2014

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Quantifying spatial distribution of snow depth errors from LiDAR using Random ForestView

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Title: Quantifying spatial distribution of snow depth errors from LiDAR using Random Forest
Creators: WT Tinkham - University of Idaho
AMS Smith - University of Idaho
HP Marshall - Boise State University
TE Link - University of Idaho
MJ Falkowski - University of Minnesota
Publication Details: Remote Sensing of Environment, Vol.141, pp.105-115
Publisher: Elsevier BV
Grant note: UMAC; Idaho Space Grant Consortium; NASA; Agricultural Research Service Northwest Watershed Research Center; Idaho NSF EPSCoR; Idaho NSF EPSCoR; Idaho NSF EPSCoR; NASA New Investigator Award
Identifiers: 997009856101851
Academic Unit: Earth and Spatial Sciences
Language: English
Resource Type: Journal article