Google Earth engine based analysis of dynamic snow cover change for Zhangjiakou zone for 2022 Beijing Winter Olympics

Chengzhen Meng; Lixin Shi; Yufei Chang; Chunlei Zhao; Siyao Wang

doi:10.1117/12.2634679

12 May 2022 Google Earth engine based analysis of dynamic snow cover change for Zhangjiakou zone for 2022 Beijing Winter Olympics

Chengzhen Meng, Lixin Shi, Yufei Chang, Chunlei Zhao, Siyao Wang

Author Affiliations +

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121730M (2022) https://doi.org/10.1117/12.2634679
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

The 2022 Winter Olympics will be held across three zones: Beijing, Yanqing and Zhangjiakou. Zhangjiakou will host the majority of ski and snowboarding events. Therefore, the analysis of spatiotemporal change in Zhangjiakou is of great significance to the preparation and sporting event host of the Winter Olympics. This study takes Zhangjiakou as the region of research, bases on the Google earth engine. MODIS Normalized Difference Snow Index dataset ranging from 2000 to 2021 is used for extracting snow cover data in the study area, then comparing with the calculated snow cover by Landsat 8 Surface reflectance data, as well as combining meteorological observation data. The spatiotemporal variation characteristics of snow cover are analysed. The result shows that there is a good agreement in snow cover data between MODIS and Landsat 8; the MODIS data can reflect the distribution characteristics of snow cover area; the area of snow cover and days of yearly snow lying show periodic fluctuation and trend of weak growth. The distribution of snow cover in Zhangjiakou shows a ribbon pattern and planar orientation. The frequency of snow cover presence in the whole area is mostly less than 0.4 while the frequency in the area with sporting venues is mainly more than 0.6, and remains around 0.5 in February when the Winter Olympics is holding.

Citation Download Citation

Chengzhen Meng, Lixin Shi, Yufei Chang, Chunlei Zhao, and Siyao Wang "Google Earth engine based analysis of dynamic snow cover change for Zhangjiakou zone for 2022 Beijing Winter Olympics", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121730M (12 May 2022); https://doi.org/10.1117/12.2634679

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KEYWORDS

Snow cover

Earth observing sensors

Landsat

MODIS

Remote sensing

Environmental sensing

Binary data

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