Estimation the dynamic change of vegetation fraction in river basin based on sub-pixel model and remotely sensed images

Lei Wang; Wenbo Li; Wei Wu; Juan Nie

doi:10.1117/12.832267

30 October 2009 Estimation the dynamic change of vegetation fraction in river basin based on sub-pixel model and remotely sensed images

Lei Wang, Wenbo Li, Wei Wu, Juan Nie

Author Affiliations +

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749805 (2009) https://doi.org/10.1117/12.832267
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Vegetation coverage and its changes are one of the hottest research branches in regional ecological environment change. An important research content of vegetation coverage is vegetation fraction. Hydropower exploitation cascade in a river basin inevitably makes vegetation fraction change. In this paper, the sub-pixel decomposition model and NDVI have been applied to quantitatively estimate vegetation fraction change of Qingjiang River downstream based on remotely sensed data. The results show that the overall vegetation environment has been greatly improved and the hydropower cascade development has a greater influence on vegetation fraction change in Qingjiang River basin form 1987 to 2004.

Citation Download Citation

Lei Wang, Wenbo Li, Wei Wu, and Juan Nie "Estimation the dynamic change of vegetation fraction in river basin based on sub-pixel model and remotely sensed images", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749805 (30 October 2009); https://doi.org/10.1117/12.832267

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