Land Use Change Moritoring in Nature Reserves Base on GF-1/GF-2

Relying on the remote sensing image of GF-1,GF-2, DEM datas, GIS datas and other datas resources of nature reserve, this paper develops a dynamic monitoring system for nature reserves of B/S version, based on Web RS, Web GIS, machine learning, statistical analysis and big datas technology organically integrated. After a series of preprocessing and interpretation of multi-temporal remote sensing image datas of nature reserve, the system can show changes of land use, vegetation cover and human activity monitoring elements in nature reserve. It is concluded that the accuracy, reliability and robustness of remote sensing image classification are improved by making full use of different disciplines theories and technologies, so that the land classification information of nature reserves can be identified and extracted more quickly and accurately, which can be used for land use planning, land use structure adjustment and government decision-making of nature reserves, and provides a forward method for effectively solving the main scientific problems and key technical problems of land use management in nature reserves under changing environment.