Urban tree species mapping using hyperspectral and lidar data fusion

Remote Sensing of Environment

Volumn 148, Issue , 2014, Pages 70-83

  Alonzo, Michael ^a   Bookhagen, Bodo ^a   Roberts, Dar A ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Data fusion; Discriminant analysis; Hyperspectral imagery; Lidar data; Tree species classification; Urban remote sensing; Watershed segmentation

Indexed keywords

DATA FUSION; DISCRIMINANT ANALYSIS; ECOSYSTEMS; FORESTRY; IMAGE SEGMENTATION; MAPPING; REMOTE SENSING; SPECTROSCOPY;

HYPER-SPECTRAL IMAGERIES; LIDAR DATA; TREE SPECIES; URBAN REMOTE SENSING; WATERSHED SEGMENTATION;

OPTICAL RADAR; DATA FUSION;

ACCURACY ASSESSMENT; ALGORITHM; CANOPY ARCHITECTURE; DATA SET; DISCRIMINANT ANALYSIS; ERROR ANALYSIS; FOREST ECOSYSTEM; IMAGERY; LIDAR; MONOCOTYLEDON; MORPHOLOGY; NDVI; SPATIAL RESOLUTION; SPECTRAL ANALYSIS; URBAN AREA; VEGETATION CLASSIFICATION; VEGETATION MAPPING; WATERSHED; URBAN ECOSYSTEM;

CALIFORNIA; SANTA BARBARA [CALIFORNIA]; UNITED STATES;

EID: 84898634853     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.03.018     Document Type: Article

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