Abstract:

With global climate change，extreme weather and climate events such as snow and ice disasters could occur from time to time in the southern China, however techniques for monitoring and evaluating the disasters are missing. In this paper, by using a case study of a continuous and wide range of snow-disaster in the north-eastern part of Guangxi suffered in early 2008, a modified normalized difference snow index (MNDSI) model was constructed based on EOS/MODIS data. Integrated monitoring and classifying methods were then developed in remote sensing monitoring and classification evaluation of the suffered forest area. The techniques would provide a scientific basis for timely response to the disasters, and for disaster prevention and mitigation of such extreme climate events.

Key words: snow and ice disasters, remote sensing monitoring, Information extraction, Disaster assessment