Abstract: Based on analysis of remote sensing images, statistic data of Yuqiao watershed in Tianjin from 1999 to 2009, and with the technology of Remote Sensing (abbr. RS) and Geographic Information System (abbr. GIS), At the same time, according to Maximum Likeli hood Classifier (MLC) , Support Vector Machin es (SVM) classifier ,statistical analysis and correlation analysis, we can quantitatively analyze landscape pattern change of Yuqiao watershed by calculating its Landscape diversity index, landscape shape index, Patch density, Edge density and contagion, etc. As a result, signi Þ cant land-use changes have taken place in the Yuqiao watershed ov er during the ten years due to urbanization. Farmland has a notable increase .Meanwhile; there is a re markable decrease in grass and shrub land. The farmland landscapes LSI from 145.72 increased 207.89 from 1999 to 2009, according to the complex and anomalous of farmland, which indicates that the way people cultivate the farmland, not only causes farmland quantity increase, but also makes the shape becomes complex. In the end, some advice will be given that human beings should adjust land-use structure in lake districts. The study of the integration of TM images an d GIS technique is an effective approach to analyze the landscape changes in the watershed. Key words: landscape pattern, remote sensing, watershed Landscape pattern dynamic change becomes an important field of landscape ecology research. Landscape dynamic change means the change situation about landscape structure, function, space pattern over time
['Chongwei Li', 'S.Y. Wang', 'Yongli Zhao']
Analysis of watershed landscape pattern change based on TM images