Land cover dynamic monitoring model of Three Gorges area

Lifen Zhu; Yongzhong Tian D.V.M.; Wenzuo Zhou

doi:10.1117/12.795867

30 August 2008 Land cover dynamic monitoring model of Three Gorges area

Lifen Zhu, Yongzhong Tian D.V.M., Wenzuo Zhou

Proceedings Volume 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V; 70830D (2008) https://doi.org/10.1117/12.795867
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

The monitoring and assessment of land cover in Three gorges area, one of the main ecological flimsy zones in China, is helpful for better understanding the function of natural and human factors on ecosystems. With the construction of Three gorges project, the concerns on the land cover change in Three gorges area by policy makers are raising. In this paper, Landsat TM images in 1986, 1996, 2000 and CBERS images in 2006 are used to detect the change of land cover in Three gorges area, which include the main regions and land cover types. A series of models are built to assess these changes. Land use intension index model and land use comprehensive benefit model are used to assess the use effect of land. Land use dynamic degree model is built to detect the intension of change for each land cover type in each county of this area. Land use centroid model is used to detect the spatial shift, which shows the human activities become more and more near the bank of Three gorges reservoir in recent 20 years. At last, this paper analyzes the temporal-spatial change of land-use and land-cover of Chongqing and discusses the main driving forces of land cover change in Three gorges area with the method of correlation analysis, and constructs a Markov matrix model to forecast the land cover change in the future 10 years.

Citation Download Citation

Lifen Zhu, Yongzhong Tian D.V.M., and Wenzuo Zhou "Land cover dynamic monitoring model of Three Gorges area", Proc. SPIE 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V, 70830D (30 August 2008); https://doi.org/10.1117/12.795867

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