Next Article in Journal
Preface of the 5th International Conference on Vocational Education Applied Science and Technology (ICVEAST)
Previous Article in Journal
The Porous–Permeable Zones in Heterogeneous Carbonate Reservoirs: A Case Study from Amara Oilfield, Iraq
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Proceedings
Volume 87
Issue 1
10.3390/IECG2022-13961
proceedings-logo
Submit to this Journal
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

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

by
Kiana Kazari
,
Reza Shah-Hosseini
* and
Sara Khanbani
School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran
*
Author to whom correspondence should be addressed.
†
Presented at the 4th International Electronic Conference on Geosciences, 1–15 December 2022; Available online: https://sciforum.net/event/IECG2022.
Proceedings 2023, 87(1), 36; https://doi.org/10.3390/IECG2022-13961
Published: 10 January 2023
(This article belongs to the Proceedings of The 4th International Electronic Conference on Geosciences)
Browse Figures
Versions Notes

Abstract

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.
Keywords: remote sensing; snow depth; Landsat images; NDSI Index; snow cover fraction remote sensing; snow depth; Landsat images; NDSI Index; snow cover fraction

Share and Cite

MDPI and ACS Style

Kazari, K.; Shah-Hosseini, R.; Khanbani, S. Estimation of the Surface Area Covered by Snow and the Resulting Runoff Using Landsat Satellite Images. Proceedings 2023, 87, 36. https://doi.org/10.3390/IECG2022-13961

AMA Style

Kazari K, Shah-Hosseini R, Khanbani S. Estimation of the Surface Area Covered by Snow and the Resulting Runoff Using Landsat Satellite Images. Proceedings. 2023; 87(1):36. https://doi.org/10.3390/IECG2022-13961

Chicago/Turabian Style

Kazari, Kiana, Reza Shah-Hosseini, and Sara Khanbani. 2023. "Estimation of the Surface Area Covered by Snow and the Resulting Runoff Using Landsat Satellite Images" Proceedings 87, no. 1: 36. https://doi.org/10.3390/IECG2022-13961

APA Style

Kazari, K., Shah-Hosseini, R., & Khanbani, S. (2023). Estimation of the Surface Area Covered by Snow and the Resulting Runoff Using Landsat Satellite Images. Proceedings, 87(1), 36. https://doi.org/10.3390/IECG2022-13961

Article Metrics

Back to TopTop