Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system

Remote Sensing of Environment

Volumn 125, Issue , 2012, Pages 214-226

  Cho, Moses Azong ^a   Mathieu, Renaud ^a   Asner, Gregory P ^b   Naidoo, Laven ^a   van Aardt, Jan ^c   Ramoelo, Abel ^a   Debba, Pravesh ^a   Wessels, Konrad ^a,f   Main, Russell ^a   Smit, Izak P J ^d   Erasmus, Barend ^e  

^a DSI CSIR Nanotechnology Innovation Centre   (South Africa)

^b GEOPHYSICAL LABORATORY   (United States)

^c ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

^d SOUTH AFRICAN NATIONAL PARKS   (South Africa)

^e UNIVERSITY OF THE WITWATERSRAND   (South Africa)

^f UNIVERSITY OF PRETORIA   (South Africa)

Author keywords

Carnegie Airborne Observatory; Hyperspectral remote sensing; Land use; LiDAR WorldView 2; Savanna tree species

Indexed keywords

CLASSIFICATION ACCURACY; DATA SETS; HYPERSPECTRAL DATA; HYPERSPECTRAL REMOTE SENSING; LANDSCAPE SCALE; LIDAR SYSTEMS; MULTI-SPECTRAL; NATIONAL PARKS; QUICKBIRD; QUICKBIRD SATELLITE; RESOURCE INVENTORY; SOUTH AFRICA; SPECIES CLASSIFICATION; SPECIES COMPOSITION; SPECTRAL BAND; SPECTRAL DATA; STANDARD DEVIATION; TREE DIVERSITY; TREE HEIGHT; TREE SPECIES; TREE SPECIES COMPOSITION;

ATMOSPHERICS; BUILDINGS; CLASSIFICATION (OF INFORMATION); LAND USE; OBSERVATORIES; OPTICAL RADAR; PHOTOMAPPING; REMOTE SENSING;

FORESTRY;

ACCURACY ASSESSMENT; AIRBORNE SENSING; BOOTSTRAPPING; COMMUNITY COMPOSITION; DATA SET; FEASIBILITY STUDY; LAND USE CHANGE; LIDAR; OBSERVATORY; QUICKBIRD; SATELLITE DATA; SATELLITE IMAGERY; SATELLITE SENSOR; SAVANNA; SPECTRAL ANALYSIS; VEGETATION CLASSIFICATION; VEGETATION MAPPING;

CLASSIFICATION; LAND USE; OBSERVATION; RADAR; REMOTE SENSING; SOUTH AFRICA; SPECIES IDENTIFICATION;

MPUMALANGA; SABI SAND GAME RESERVE; SOUTH AFRICA;

EID: 84865053262     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.07.010     Document Type: Article

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