Detection of Forest Change Using MSS Data
应用MSS数字图像处理进行森林资源动态监测的探讨

The paper deals with the method of detection of forest change using Landsat MSS data of May, 1976 and October 1985 from frame of Pingchuan County, Hebei Province. The false color composites. (Band 7, 5, 4) were produced. The false color image is useful for manual interpretation of forest Change dynamics. A normalized difference vegetation index (NDVI) and a ratio vegetation index (RVI) were computed for two dates of Landsat data. The difference images for NDVI and RVI were produced by subtracting 1976 from 1985 data. the difference images indicate the great forest change between the above two data. Various standard deviation threshold levels were applied to the difference images to find the threshold value to produce the highest change classification accuracy. Principal components analysis of eight-channel data set consisting of the two landsat MSS data parity to generate the principal components. The first component is related to forest changes. The data classification techiques can monitor the changes of landcovers.