EventsThe 4th International Electronic Conference on Geosciences
Published
This submission belongs to the session a. Geoscientific Research for Natural Hazard & Risk Assessment of the event The 4th International Electronic Conference on Geosciences
Published date
10 Jan, 2023
Academic Editor
author-avatarDeodato Tapete
Citation
Reza Shah-Hosseini, Kiana Kazari, Sara Khanbani, Estimation of the Surface Area Covered by Snow and The Resulting Runoff using Landsat Satellite Images, in Proceedings of The 4th International Electronic Conference on Geosciences, 1 December–15 December 2022, MDPI: Basel, Switzerland, doi: 10.3390/IECG2022-13961
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Estimation of the Surface Area Covered by Snow and The Resulting Runoff using Landsat Satellite Images

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Sara Khanbani 3
1. School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Iran
2. School of Surveying and Geospatial Eng., College of Eng., University of Tehran, Tehran, Iran
3. School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran
Abstract

Snow is one of the most important sources of water in most parts of the world, which supplies about a third of the water needed for agricultural activities, drinking, and underground water sources. The runoff caused by melted snow can be destructive, also the numerous volume of snow can lead to an avalanche, so it's important to estimate it. The area of the snow research is around Goose Lake in California, the 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 five years' period (2017–2022) for about four months (December–March) (total of about 40 images. The information from ground snow measuring stations was used to evaluate the final results. The accuracy assessment shows 76% accuracy.

Keywords
remote sensing
snow depth
landsat images
NDSI Index
snow cover fraction
Manuscript
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