文献类型：会议论文

英文题名：Forest and non-forest mapping with envisat asar images

作者：Ling, F.[1] Li, Z.[2] Chen, E.[2] Huang, Y.[1] Tian, X.[2] Schmullius, C.[3] Leiterer, R.[3] Reiche, J.[3] Santoro, M.[4]

第一作者：Ling, F.

机构：[1] Key Laboratory of Spatial Data Mining, Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, 350002, China; [2] Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China; [3] Department of Earth Observation, Friedrich-Schiller University Jena, Jena, 07745, Germany; [4] Gamma Remote Sensing, 3073 Gümligen, Switzerland

会议论文集：Proceedings of Dragon 2 Final Results and Dragon 3 Kick-Off Symposium

会议日期：June 25, 2012 - June 29, 2012

会议地点：Beijing, China

语种：英文

外文关键词：Forestry - Radar imaging - Space-based radar - Synthetic aperture radar

年份：2013

摘要：Envisat Advanced Synthetic Aperture Radar (ASAR) dual-polarization data are shown to be effective for regional forest monitoring. To this scope, an automatic SAR image preprocessing procedure was developed using SRTM DEM and Landsat TM image for geocoding in rugged terrain and smooth terrain areas, respectively. An object-oriented forest and non-forest classification method is then proposed based on the HH to HV intensity ratio and HV images of ASAR data at single acquisition in winter. The developed methods were applied to forest and non-forest mapping in Northeast China. The overall accuracy, the user's accuracy and the producer's accuracy of forest are 83.7%, 85.6% and 75.7% respectively. The results indicate that the proposed methods are promising for operational forest mapping at regional scale.