Application of Remote-sensing Image Classification Techniques in Forest Landscape Classification and Evaluation

Study on classification of forest landscape based on data of multi-spectrum remote-sensing of Landsat TM and terrestrial inventory was conducted.On Jingouling State Forest Farm of Wangqing Forestry Bureau in Jilin Province,ERDAS Imagine and MapInfo were used as technical supporting systems for data processing.Supervised classification of remote-sensing image supported by terrestrial sampling plots and associated with inventory data of forest management was used in the study.As results,the distribution map of forest landscape of the study area and its spatial structure analysis and evaluation were produced. These results served as useful information for further planning and design of forest landscape development in the study region.