文献类型：会议论文

英文题名：Forest/non-forest mapping using ENVISAT ASAR data in Northeast China

作者：Huang, Yanping[1] Ling, Feilong[1] Wu, Bo[1] Bai, Lina[2] Tian, Xin[2]

第一作者：Huang, Yanping

通信作者：Huang, Y.

机构：[1] Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Fuzhou 350002, China; [2] Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China

会议论文集：ICSDM 2011 - Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services

会议日期：29 June 2011 through 1 July 2011

会议地点：Fuzhou

语种：英文

外文关键词：Classification (of information) - Data mining - Forestry - Image acquisition - Image segmentation - Land use

年份：2011

摘要：Large scale forest mapping and change detection plays a significant role in the study of global change, particularly in the research of carbon source and sink. This paper presents results from forest/non-forest classification using ENVISAT-ASAR data. Both pixel-based and object-based classification method were developed for ASAR HH/HV images acquired on a single date. For the object-based classification, two different strategies were proposed: rule-set and threshold-ratio. Using as reference a land use map derived from Landsat TM images acquired in 2000, the accuracy of the forest/non-forest map from ASAR AP data has been found to meet the requirements of mapping the Northeast Chinese forests at large scale. ? 2011 IEEE.