Research And Construction Of Forest Land Change Multi Spectrum Remote Sensing Detection System Based On IDL

As the earth's biosphere forest is an important part of, the respiration, photosynthesis is a necessary link in the global carbon cycle and the transpiration to maintain global climate. At the same time, it also hosts rebuke harshly of biodiversity distribution. Renewable forest resources make the time in dynamic process of growth and decline, therefore can first time access to the forest change information for rational planning and utilization of forest resources has important significance.Ground information to obtain the change of multitemporal remote sensing image processing using change detection technique, the application of remote sensing technology on the ground were gradually replaced the traditional measurement way. System to achieve the use of IDL language, first of all the data pretreatment, eliminate the factors that may influence the results, and the canonical correlation analysis and change detection algorithm for relative radiometric normalization processing of multitemporal images, the same objects with similar reflectance, finally by constructing difference image, select the appropriate threshold showing the results. A software system that can efficiently and accurately detect forest land change information from remote sensing images is realized.