This paper selected three indices,Normalised Difference Built-up Index (NDBI),Modified Normalised Difference Water Index (MNDWI) and Normalized Difference Vegetation Index (NDVI) to represent three major urban land use/cover types:building plot,water and vegetation respectively by detailed analysing the two remote sensing TM images of Xi’an City in 2000 and 2007. Then the study classified the imge through the neural network classification module ,calculated types of land use in Xi'an Dynamic transfer matrix, constructed the land use change index and dynamic index and analyzed spatio-temporal changes of land use in Xi'an by using Erdas I-magine 9.0,ENVI, ArcGIS 9.2 and Matlab software platform. The result came to that the driving forces of change of land use in Xi'an were population growth, economic growth,urbanization development and policy change.
霍艳杰, 卫海燕, 薛亮, 李馥利. 基于指数分析法的西安市土地利用变化及驱动力研究[J]. 国土资源遥感, 2009, 21(2): 49-53.
HE Yan-Jie, Wei-Hai-Yan, Xue-Liang, Li-Bi-Li. A STUDY OF THE LAND USE CHANGE AND THE DRIVING
FORCE IN XI’AN CITY BASED ON INDEX ANALYSIS. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(2): 49-53.