Combining airborne hyperspectral and LiDAR data across local sites for upscaling shrubland structural information: Lessons for HyspIRI

Remote Sensing of Environment

Volumn 167, Issue , 2015, Pages 98-110

  Mitchell, Jessica J ^a   Shrestha, Rupesh ^b   Spaete, Lucas P ^b   Glenn, Nancy F ^b  

^a APPALACHIAN STATE UNIVERSITY   (United States)

^b BOISE STATE UNIVERSITY   (United States)

Author keywords

HsypIRI; Hyperspectral; LiDAR; Sagebrush; Vegetation structure

Indexed keywords

DATA MINING; DECISION TREES; ECOLOGY; ECOSYSTEMS; FORESTRY; LAND USE; MEAN SQUARE ERROR; REMOTE SENSING; SATELLITES; UNCERTAINTY ANALYSIS; VEGETATION;

HSYPIRI; HYPERSPECTRAL; HYPERSPECTRAL SATELLITE; MEDIAN ABSOLUTE DEVIATION; ROOT MEAN SQUARE ERRORS; SAGEBRUSH; STRUCTURAL INFORMATION; VEGETATION STRUCTURE;

OPTICAL RADAR;

DICOTYLEDON; ECOLOGICAL MODELING; ECOSYSTEM MODELING; ECOSYSTEM RESPONSE; ICESAT; LIDAR; PREDICTION; REMOTE SENSING; SATELLITE DATA; SHRUBLAND; STEPPE; VEGETATION STRUCTURE;

GREAT BASIN; UNITED STATES;

ARTEMISIA TRIDENTATA;

EID: 84936851758     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.04.015     Document Type: Article

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