Hyperspectral remote sensing of peatland floristic gradients

Remote Sensing of Environment

Volumn 162, Issue , 2015, Pages 99-111

  Harris, A ^a   Charnock, R ^b   Lucas, R M ^c  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b ABERYSTWYTH UNIVERSITY   (United Kingdom)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Hyperspectral; Ordination; Partial least squares regression; Peatland; Plant functional type; Vegetation

Indexed keywords

CLASSIFICATION (OF INFORMATION); ECOLOGY; ECOSYSTEMS; FORESTRY; LEAST SQUARES APPROXIMATIONS; MAPPING; PLANTS (BOTANY); REGRESSION ANALYSIS; SPACE OPTICS; SPECTROSCOPY; VEGETATION; WETLANDS;

HYPERSPECTRAL; ORDINATION; PARTIAL LEAST SQUARES REGRESSION; PEATLAND; PLANT FUNCTIONAL TYPE;

REMOTE SENSING;

AGGREGATION BEHAVIOR; COMMUNITY STRUCTURE; ENVIRONMENTAL CHANGE; ORDINATION; PEATLAND; PLANT COMMUNITY; REMOTE SENSING; SPECTRAL ANALYSIS; STAND STRUCTURE; VEGETATION STRUCTURE;

EID: 84924051542     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.01.029     Document Type: Article

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