文献类型：会议论文

英文题名：OBJECT-BASED FOREST COVER MONITORING USING GAOFEN-2 HIGH RESOLUTION SATELLITE IMAGES

作者：Li, S. M.[1] Li, Z. Y.[1] Chen, E. X.[1] Liu, Q. W.[1]

第一作者：李世明

通信作者：Li, SM[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing, Peoples R China

会议论文集：23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS)

会议日期：JUL 12-19, 2016

会议地点：Prague, CZECH REPUBLIC

语种：英文

外文关键词：Forest Cover Monitoring; Segmentation; Classification; Gaofen-2; High Resolution Satellite Images

年份：2016

摘要：Forest cover monitoring is an important part of forest management in local or regional area. The structure and tones of forest can be identified in high spatial remote sensing images. When forests cover change, the spectral characteristics of forests is also changed. In this paper a method on object-based forest cover monitoring with data transformation from time series of high resolution images is put forward. First the NDVI difference image and the composite of PC3, PC4, PC5 of the stacked 8 layers of time series of high resolution satellites are segmented into homogeneous objects. With development of the object-based ruleset classification system, the spatial extent of deforestation and afforestation can be identified over time across the landscape. Finally the change accuracy is achieved with reference data.