Exploring Of How To Use The CBERS In The Forest Resource Investigation

Forest resource is the important material foundation of national sustainable development. It is the rare renewable resources in the economic construction and ecological environment construction, having the ecological function of water and soil conserving, wind-defending, sand-binding, air purifying and weather egulating, etc. The forest resource state of growth and decline influence not only the sustainable development of the regional economy, but also the changes of region and even global environment. Therefore, it has attracted attention extremely.Possessing the advantages of macroscopic information real-time, Convenience, periodicity and low cost, Remote Sensing is suitable for forestry with the features of extensity, complexity and difficulty to access, and has already become the ideal means to study forest reserves state. At present, in the application of forest, the ability to gain multi-sources remote sensing data is stronger and stronger, but because of the integrity of remotely sensed information and the mechanism complexity of remote sensing, information process technology lag behind information acquisition technology relatively. It is far away ripe for the forest type classification by Remote Sensing basis of different areas, seasonal aspect and different background characteristics. The application study on the forestry of the CBERS image has been reported rarely.In this research we chose the Guixi city of Jiangxi province as the study object. With the help of remote sensing data of CBERS and TM, GIS data and the field survey data of forest department, some key problems are discussed about geometric correction, image processing, band combination selection, the way and means of classifications for image and the efficiency of forest classification by Remote Sensing. It will have the great reference means to promote the use of Remote Sensing in Jiangxi. The main content and conclusion of this research is summed up as follows:(1) With the help of basic geographical data 1:250000 we have completed the geometric correction of Jiangxi province, subsequently we have combined all the images from the combinational image we cut the area of Guixi city.(2) Analyzing TM and CBRES images amount, standard deviation and the correction between bands Mean time, analyzing spectrum features of main forest...