Improving discrimination of savanna tree species through a multiple-endmember spectral angle mapper approach: Canopy-level analysis

IEEE Transactions on Geoscience and Remote Sensing

Volumn 48, Issue 11, 2010, Pages 4133-4142

  Cho, Moses Azong ^a   Debba, Pravesh ^a   Mathieu, Renaud ^a   Naidoo, Laven ^a,b   Van Aardt, Jan ^c   Asner, Gregory P ^d,e  

^a DSI CSIR Nanotechnology Innovation Centre   (South Africa)

^b UNIVERSITY OF CAPE TOWN   (South Africa)

^c ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

^d GEOPHYSICAL LABORATORY   (United States)

^e STANFORD UNIVERSITY   (United States)

Author keywords

Band selection; hyperspectral remote sensing; multiple endmember approach; savanna tree species; spectral angle mapper (SAM); spectral variability

Indexed keywords

BAND SELECTION; HYPERSPECTRAL REMOTE SENSING; MULTIPLE-ENDMEMBER APPROACH; SPECTRAL ANGLE MAPPERS; SPECTRAL VARIABILITY; TREE SPECIES;

CLASSIFIERS; FORESTRY; GENES; PARKS;

REMOTE SENSING;

ACCURACY ASSESSMENT; AIRBORNE SENSING; CANOPY; DISCRIMINANT ANALYSIS; GENETIC VARIATION; IMAGE CLASSIFICATION; LANDSCAPE; PERFORMANCE ASSESSMENT; PHENOLOGY; SAVANNA; SPECIES DIVERSITY; SPECTRAL ANALYSIS; TOPOGRAPHIC MAPPING; TREE;

BIODIVERSITY; FOREST CANOPY; GENETIC ENGINEERING; IMAGE ANALYSIS; REMOTE SENSING; TREES;

KRUGER NATIONAL PARK; SOUTH AFRICA;

ACACIA NIGRESCENS; COMBRETUM APICULATUM; COMBRETUM IMBERBE; DICHROSTACHYS CINEREA; EUCLEA NATALENSIS; GYMNOSPORIA BUXIFOLIA; LONCHOCARPUS CAPASSA; PTEROCARPUS ROTUNDIFOLIUS; SCLEROCARYA BIRREA; TERMINALIA SERICEA;

EID: 78049251348     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2058579     Document Type: Article

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