Estimation of the Surface Area Covered by Snow and the Resulting Runoff Using Landsat Satellite Images

Proceedings

article

Kiana Kazari¹  Reza Shah-Hosseini¹  Sara Khanbani¹ 

[1] School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran

关键词: remote sensing;    snow depth;    Landsat images;    NDSI Index;    snow cover fraction;   

DOI  :  10.3390/IECG2022-13961

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

Snow is one of the most important sources of water in most parts of the world, supplying approximately a third of the water needed for agricultural activities, drinking, and underground water sources. The runoff caused by melted snow can be destructive, and the high volume of snow can lead to an avalanche; therefore, it is important to estimate it. The area of the snow research is around Goose Lake in California, USA, where the ground snow measuring station is (Latitude: 41.92999, Longitude: −120.4168117). The snow can be measured and calculated using the daily satellite imagery of the Landsat for a period of five years (2017–2022) for approximately four months (December–March) (total of approximately 40 images). The information from ground snow measuring stations was used to evaluate the final results. The accuracy assessment shows 76% accuracy.

【 授权许可】

CC BY