Cloud removing method for daily snow mapping over Central Asia and Xinjiang, China

International Symposium on Earth Observation for One Belt and One Road

地球科学;政治学;社会学;经济学

Yu, Xiaoqi^1,2 ; Qiu, Yubao^1 ; Guo, Huadong^1 ; Chen, Lijuan^1,3

Institute of Remote Sensing and Digital Earth, Laboratory of Digital Earth Science, Dengzhuang South Road, Haidian District, Beijing

100094, China^1

College of Geographical Information System, Liaoning Technical University, Fuxin

123000, China^2

College of Geographical Science, Fujian Normal University, Fuzhou, China^3

关键词: Central Asia;    Energy and water balance;    Moderate resolution imaging spectroradiometer;    Seasonal snow cover;    Snow distribution;    Snow mapping;    Standard products;    Temporal resolution;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/57/1/012048/pdf
DOI  :  10.1088/1755-1315/57/1/012048

来源: IOP

【 摘 要 】

Central Asia and Xinjiang, China are conjunct areas, located in the hinterland of the Eurasian continent, where the snowfall is an important water resource supplement form. The induced seasonal snow cover is vita factors to the regional energy and water balance, remote sensing plays a key role in the snow mapping filed, while the daily remote sensing products are normally contaminated by the occurrence of cloud, that obviously obstacles the utility of snow cover parameters. In this paper, based on the daily snow product from Moderate Resolution Imaging Spectroradiometer (MODIS A1), a cloud removing method was developed by considering the regional snow distribution characteristics with latitude and altitude dependence respectively. In the end, the daily cloud free products was compared with the same period of eight days MODIS standard product, revealing that the cloud free snow products are reasonable, while could provide higher temporal resolution, and more details over Center Asia and Xinjiang Province.