HUANG Xiaodong, LI Xubing, LIU Changyu, ZHOU Minqiang, WANG Jianshun
Snow cover is an important parameter of surface characteristics, which has an important impact on radiation budget, climate and long-term weather changes. Snow itself is an important weather phenomenon, and is an important hydrometeorological parameter, but also brings disastrous weather and hydrological disasters, such as pastoral snow disaster, avalanches and snowmelt floods. Therefore, the monitoring of snow, especially the monitoring of snow in mountain areas, is of great significance in many aspects. The use of satellite remote sensing technology to monitor snow cover has a history of more than 30 years, and has formed operational products. With the development of remote sensing technology, the corresponding monitoring methods are also in the process of continuous development and progress. The snow cover in Qinghai-Tibet Plateau is of great hydrological, climatic and ecological significance. Therefore, the research on snow parameters extraction of the specific area on the Qinghai-Tibet Plateau by using remote sensing technology, not only can effectively improve snow monitoring accuracy, in order to evaluate the snow cover change accurately, but also can provide more accurate input snow factors for hydrology and climate models, and enhance the contribution of snow research of China in the world. The Qinghai-Tibet Plateau has an average altitude above 4 000 m. The ground observation stations are rare in this plateau. Affected by strong solar radiation and complex terrain, the rapid melting of snow, regional difference ablation and wind blowing snow and other factors lead to the serious fragmentation of snow cover distribution, which makes it difficult and uncertain to use remote sensing data to monitor the snow cover in this area. With the progress of satellite and sensor technologies, especially a series of FY satellite launch and run successfully in China, the synchronization observe technology by optical and passive microwave remote sensing is already mature. Effectively use the advantage of higher spatial resolution of optical remote sensing data and cloud penetration of passive microwave remote sensing data, combined with machine learning, UAV and other technologies, will be an effective way to improve the accuracy of snow parameters inversion in Qinghai-Tibet Plateau.
