4.7 Article

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

Journal

REMOTE SENSING OF ENVIRONMENT
Volume 125, Issue -, Pages 214-226

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2012.07.010

Keywords

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

Funding

  1. Council for Scientific and Industrial Research (CSIR), South Africa
  2. Andrew Mellon Foundation
  3. W.M. Keck Foundation
  4. Gordon and Betty Moore Foundation

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Mapping savanna tree species is of broad interest for savanna ecology and rural resource inventory. We investigated the utility of (i) the Carnegie Airborne Observatory (CAO) hyperspectral data, and WorldView-2 and Quickbird multispectral spectral data and (ii) a combined spectral + tree height dataset (derived from the CAO LiDAR system) for mapping seven common savanna tree species or genera in the Sabi Sands Reserve and communal lands adjacent to Kruger National Park, South Africa. We convolved the 72 spectral bands of the CAO imagery to eight and four multispectral channels available in the WorldView-2 and Quickbird satellite sensors, respectively. A combination of the simulated WorldView-2 data and LiDAR tree height imagery was also assessed for species classification. First, the simulated WorldView-2 imagery provided a higher classification accuracy (77% +/- 3.1 (mean +/- standard deviation)) when compared to the simulated Quickbird (65% +/- 1.9) and CAO (65% +/- 1.2) data. Secondly, the combined spectral + height dataset provided a slightly higher overall classification accuracy (79% +/- 1.8) when compared to the WorldView-2 spectral only dataset. The difference was however, statistically significant (p<0.001; one-way analysis of variance for 30 bootstrapped replicates (n = 100) of the independent validation dataset). Higher classification accuracies were observed for trees with large crowns such as S. birrea, S. africana and A. nigrescens as compared to trees with small crowns. Species composition and diversity maps of trees with large crowns were consistent with established knowledge in the area. For example, the results showed higher tree diversity (number of different species per ha) in the Sabi Sands game reserve than in the communal areas. This study highlights the feasibility of remote sensing of tree species at the landscape scale in African savannas and the potential applicability of WorldView-2 sensor in mapping savanna tree species with a large crown. (c) 2012 Elsevier Inc. All rights reserved.

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