| Issue |
E3S Web Conf.
Volume 435, 2023
VII International Scientific Conference “Cities of New Age: GLASS” (REC-2023)
|
|
|---|---|---|
| Article Number | 03006 | |
| Number of page(s) | 7 | |
| Section | Industrial Cities | |
| DOI | https://doi.org/10.1051/e3sconf/202343503006 | |
| Published online | 11 October 2023 | |
Urban environment monitoring in industrial city using remote sensing of snow cover
1 South Ural State University, Institute of Natural Sciences and Mathematics, 454080 Chelyabinsk, Russia
2 Larionov Institute of the Physical-Technical Problems of the North, Siberian Branch of the Russian Academy of Sciences, 677980 Yakutsk, Russia
3 South Urals Federal Research Center of Mineralogy and Geoecology of the Urals Branch of the Russian Academy of Sciences, 456317 Miass, Russia
* Corresponding author: krupnovatg@susu.ru
The dynamic development of modern cities requires new solutions to urban planning and management by local regional authorities. The paper focuses on ecological indicators based on Earth Remote Sensing Data (ERSD) of the snow cover with the purpose to evaluate the city and to plan ecological environment protection strategy. The paper deals with the method of using space images to assess the snow cover pollution of Chelyabinsk, a large Russian industrial city. The assessment of the snow cover of Chelyabinsk was carried out by comparing the heavy metals concentrations with the Landsat 8 data. The spectral indices were calculated for fourteen sites evenly distributed over the urban area of four types: courtyards, car parks, industrial zones and roads. We found a statistically significant difference between the Swirl/Green index and the site type and a correlation with the concentrations of dissolved and suspended forms of heavy metals in snow cover. Snow cover indices can be used as ecological indicators of urban environment.
Key words: Urban environment / Remote sensing / Urban environment indicators / Urban environment protection strategy
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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