Remote Sensing Dynamic Monitoring And Predicting Analysis Of Grassland In The West Of Jilin Province

Grass is renewable natural resources,has the extremely important ecological function and economic value,but along with the rapid economic development and the man-made overgrazing led to grassland degradation phenomenon is obvious.Grassland degradation in the western of Jilin province as a typical area,the evolution and development trend of the grassland ecosystem in western Jilin province's economic development and ecological environment protection has important practical significance.This paper combines Landsat satellite image data,MODIS data,DEM data and other related auxiliary data for studying the western Jilin province dynamic monitoring of grassland.For grass covering research problems in western Jilin province,based on unsupervised classification,supervised classification and object-oriented classification method for classification of Da 'an interpretation and comparative evaluation precision.Adopt the method of object-oriented classification interpretation and feature information extraction,by transfer matrix method to analyze the grassland monitoring results,type conversion,and change the main driving factors,and improve the grassland degradation in western Jilin province and grassland management advice,to provide reference for the scientific management and development.Based on the markov model,the paper predicts the future trend of the grassland in the western grassland of Jilin province based on Matlab programming.Time series predicting model is established,and improving existing algorithm,through to the west of Jilin province Da 'an NDVI data fitting prediction,by predicting the NDVI value of establishing regression equation to verify with grassland area,grassland area of relative error of prediction is only 0.5%,this method can be widely used in the prediction of intensive grassland area.