会议专题

The study on snow scope monitoring based on active and passive remote sensing data – a case of HJ-1 and ALOS

In this paper, the snow scope monitoring model based on active and passive remote sensing has been proposed to quantitatively inverse snow coverage range. The proposal model and two kinds of remote sensing data such as HJ-1 CCD/IRS and ALOS/PALSAR images have been employed to extract the snow coverage area in Xilinguole League Inner Mongolia China 2010. The results show that the proposal model has a high precision and can be used in snow disaster monitoring.

Snow disaster active remote sensing passive remote sensing HJ-1 CCD/IRS ALOS Normalized Difference Snow Index information extraction monitor

Wei Wu Yan Cui Wenbo Li Shu Tao Weina Ru

Department of Satellite Remote Sensing, National Disaster Reduction Center of China, No. 6Guangbaido Department of Satellite Remote Sensing, National Disaster Reduction Center of China, No. 6Guangbaido Institute of Intelligent Machines, Chinese Academy of Sciences, 350 Shushanhu Road, Hefei,China 2300 College of Resource Environment and Tourism, Capital Normal University, No.105 West 3rd RingRoad Nor College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing),

国际会议

第七届多光谱图象处理与模式识别国际学术会议

桂林

英文

1-8

2011-11-01(万方平台首次上网日期,不代表论文的发表时间)