Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system
نویسندگان
چکیده
a Council for Scientific and Industrial Research (CSIR), Natural Resources and Environment (NRE), Earth Observation Group, P.O. Box 395, Pretoria 0001, South Africa b Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA 94305, USA c RIT: Center for Imaging Science, Digital Imaging and Remote Sensing Group, 54 Lomb Memorial Drive, Building 76‐3124, Rochester, NY 14623, USA d CSIR, Built Environment, P.O. Box 395, Pretoria 0001, South Africa e CSIR, Meraka Institute, (African Advanced Institute for Information and Communication Technology) P.O. Box 395, Pretoria 0001, South Africa f South African National Parks, Scientific Services, Private Bag X402, Skukuza, 1350, South Africa g School of Animal, Plant and Environmental Science, University of the Witwatersrand, Johannesburg, South Africa h Centre for Geoinformation Science, Department of Geography, Geoinformatics and Meteorology, University of Pretoria, South Africa
منابع مشابه
Mapping Savanna Tree Species at Ecosystem Scales Using Support Vector Machine Classification and BRDF Correction on Airborne Hyperspectral and LiDAR Data
Mapping the spatial distribution of plant species in savannas provides insight into the roles of competition, fire, herbivory, soils and climate in maintaining the biodiversity of these ecosystems. This study focuses on the challenges facing large-scale species mapping using a fusion of Light Detection and Ranging (LiDAR) and hyperspectral imagery. Here we build upon previous work on airborne s...
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