遥感影像分类技术在森林景观分类评价中的应用研究

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

以吉林省旺清林业局金沟岭林场为例,在地面调查数据和LandsatTM多光谱卫星遥感数据的基础上,以ER DAS遥感影像处理系统和MapInfo地理信息系统支持,利用基于二类调查数据取证遥感分类技术,对其森林景观进行分类和评价,得到金沟岭林场森林景观空间分布图及空间格局分析结果。本研究提出的一套实用技术方法可为宏观上快速提取森林景观要素及空间格局状态提供技术参考,结果可为进一步森林景观规划和设计提供依据。

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.