Three-dimensional research on detecting ice-snow resource based on HRS data

Dynamic detection of ice-snow resources has profound significations to macrocontrol of water resource and research of global climate change. But there are many difficulties on manual monitoring for the atrocious weather and natural conditions in most of the ice-snow areas. This paper aims to reduce the difficulty of surveying on the spot Remote sensing and three-dimensional (3D for short in the following passage) technology were introduced, and Purog Kangri ice field was chosen as an experiment area. The digital elevation model (DEM) was created via peculiar stereo collected from HRS data on SPOT5 satellite. The superficial area of Purog Kangri ice field was then calculated. The appraise model in the study area was fitted according to previous data. The reserve of ice field was obtained. The experiment has taken use of the newest remote sensing science effectively and reduced the difficulty of surveying on the spot. It could provide technical supporting for effective management of national ice-snow resources, and further more provide scientific evidence for sustainable development in China.