Forest mapping with multi-temporal dual polarization ALOS PALSAR data

Feilong Ling; Zengyuan Li; Erxue Chen; Qinmin Wang

doi:10.1117/12.815613

29 December 2008 Forest mapping with multi-temporal dual polarization ALOS PALSAR data

Feilong Ling, Zengyuan Li, Erxue Chen, Qinmin Wang

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 728517 (2008) https://doi.org/10.1117/12.815613
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

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.

Citation Download Citation

Feilong Ling, Zengyuan Li, Erxue Chen, and Qinmin Wang "Forest mapping with multi-temporal dual polarization ALOS PALSAR data", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728517 (29 December 2008); https://doi.org/10.1117/12.815613

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