A multi-temporal spectral library approach for mapping vegetation species across spatial and temporal phenological gradients

Remote Sensing of Environment

Volumn 167, Issue , 2015, Pages 121-134

  Dudley, Kenneth L ^a   Dennison, Philip E ^a   Roth, Keely L ^b   Roberts, Dar A ^c   Coates, Austin R ^a  

^a UNIVERSITY OF UTAH   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

AVIRIS; Endmember selection; Hyperspectral time series; HyspIRI; Mediterranean ecosystems; MESMA; Species classification; Vegetation phenology

Indexed keywords

BIOLOGY; CLASSIFICATION (OF INFORMATION); INFRARED IMAGING; INFRARED SPECTROMETERS; ITERATIVE METHODS; LIBRARIES; MAPPING; THERMOGRAPHY (IMAGING); TIME SERIES; VEGETATION;

AVIRIS; ENDMEMBER SELECTION; HYPERSPECTRAL; HYSPIRI; MEDITERRANEAN ECOSYSTEM; MESMA; SPECIES CLASSIFICATION; VEGETATION PHENOLOGY;

PHOTOMAPPING;

AVIRIS; CLIMATE VARIATION; MAPPING METHOD; PHENOLOGY; SATELLITE DATA; SPATIOTEMPORAL ANALYSIS; SPECTRAL REFLECTANCE; TIME SERIES ANALYSIS; VEGETATION CLASSIFICATION; VEGETATION STRUCTURE;

MEDITERRANEAN REGION;

EID: 84938955809     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.05.004     Document Type: Article

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