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Proceedings Paper

Mapping forest cover using aircraft imagery in Qisha peninsula, South China
Author(s): Rong Yu; Bofeng Cai; Shanjing Zhong; Hui Zen
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Paper Abstract

Land use and forest cover products in highly dynamic tropical ecosystems lack the detail needed for natural resource management and monitoring at the regional level. The aerial photography provides effective methods to combine local forest cover data for land cover mapping and land resource management. In this paper we use aircraft imagery at the regional level over a characteristic location of tropical woodlands in Guangxi, China. The performances of maximum likelihood classification and Decision tree supervised classification were assessed. The most consistent results were achieved using decision tree analysis of aircraft images. This method provided better accurate classification for mangroves, broad-leaved forest, coniferous forest and shrub and the average classification accuracy is above 86%. The aircraft image provided a more accurate classification for the dense forest cover class. The selection of the right image dates proved to be critical for different forest type recognition. It make them promising options for rapid and inexpensive forest cover mapping in regions of high environmental variability such as tropical coastal zone.

Paper Details

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749817 (30 October 2009); doi: 10.1117/12.832451
Show Author Affiliations
Rong Yu, Guangxi Research Academy of Environmental Protection (China)
Bofeng Cai, Beijing Municipal Research Academy of Environmental Protection (China)
Shanjing Zhong, Guangxi Research Academy of Environmental Protection (China)
Hui Zen, Guangxi Research Academy of Environmental Protection (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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