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Proceedings Paper

Forest mapping with multi-temporal dual polarization ALOS PALSAR data
Author(s): Feilong Ling; Zengyuan Li; Erxue Chen; Qinmin Wang
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Paper Abstract

The objective of this study is to exploit the new features of ALOS PALSAR dual polarization mode data and to develop novel classification method for forest mapping in heterogeneous areas. A test site was selected in Fujian province in southeast of China. Traditionally, forest is detected by its low coherence, low temporal variability of the backscattering intensity and mediate backscattering intensity. However, the analyses in this paper indicate that it is not possible to discriminate forest from nonforest by any single PALSAR feature in this test site. After examination the dependences of the multitemporal backscatter intensity, the polarimetric parameters and the interferometric coherence on different land cover types, a hierarchical classification method is proposed for coastal forest and hilly forest mapping. The forest maps are validated by forest inventory data and SPOPT-5 images. The results show that multitemporal PALSAR dual polarization data can accurate maps for coastal forest in flat areas using the proposed method. The capability to map forest in hilly regions is still limited.

Paper Details

Date Published: 29 December 2008
PDF: 11 pages
Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728517 (29 December 2008); doi: 10.1117/12.815613
Show Author Affiliations
Feilong Ling, Institute of Forest Resources Information Techniques (China)
Fuzhou Univ. (China)
Zengyuan Li, Institute of Forest Resources Information Techniques (China)
Erxue Chen, Institute of Forest Resources Information Techniques (China)
Qinmin Wang, Fuzhou Univ. (China)


Published in SPIE Proceedings Vol. 7285:
International Conference on Earth Observation Data Processing and Analysis (ICEODPA)
Deren Li; Jianya Gong; Huayi Wu, Editor(s)

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