Proceedings of the Fourth International Conference on Environmental Science and Technology (EST 2023)

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Remote Sensing-Based Detection of Vegetation Cover Change in Govi-Sumber Province, Mongolia

Authors
Otgontsetseg Davaanyam1, *, Ishtsog Otgon1, Ganchudur Tsetsegmaa1, Xiaoyu Meng2, Khaulenbek Akhmadi1
1Institute of Geography and Geoecology, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia
2State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
*Corresponding author. Email: otgontsetseg_d@mas.ac.mn
Corresponding Author
Otgontsetseg Davaanyam
Available Online 29 October 2023.
DOI
10.2991/978-94-6463-278-1_11How to use a DOI?
Keywords
Desertification; Digression Species; Ecotone Zone; Land Degradation; NDVI
Abstract

Desertification is recognised as land degradation in arid, semi-arid, and dry subhumid regions, typically resulting from climatic fluctuations and human activities, and essentially translates to a reduction in land productivity. Therefore, dynamic shifts in vegetation cover can be viewed as indicators of this land degradation and desertification. This study attempted to illuminate the dynamics of vegetation within Govi-Sumber province, a crucial ecotone zone highly vulnerable to land degradation, over the period 2010-2020 using remote sensing techniques. The normalised difference vegetation index (NDVI) was calculated using Landsat 7 and 8 satellite images to determine changes in vegetation cover. Our findings revealed a tendency towards an increase in vegetation cover in recent years, with a mean NDVI of 0.34 observed from 2010 to 2020. In previous years, sparse vegetated areas were prevalent throughout the province, but showed a steady decrease by 2020. On the contrary, densely vegetated areas progressively expanded, while ranges of 0-0.1, 0.3-0.4 and above 0.7 showed no discernible changes. The northern territory, characterised by wet depressions, exhibited the most significant transformations, with NDVI values increasing in recent years. However, the southern and northwest regions recorded significant changes, showing a downward trend in their NDVI values.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Fourth International Conference on Environmental Science and Technology (EST 2023)
Series
Advances in Engineering Research
Publication Date
29 October 2023
ISBN
10.2991/978-94-6463-278-1_11
ISSN
2352-5401
DOI
10.2991/978-94-6463-278-1_11How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Otgontsetseg Davaanyam
AU  - Ishtsog Otgon
AU  - Ganchudur Tsetsegmaa
AU  - Xiaoyu Meng
AU  - Khaulenbek Akhmadi
PY  - 2023
DA  - 2023/10/29
TI  - Remote Sensing-Based Detection of Vegetation Cover Change in Govi-Sumber Province, Mongolia
BT  - Proceedings of the Fourth International Conference on Environmental Science and Technology (EST 2023)
PB  - Atlantis Press
SP  - 104
EP  - 112
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-278-1_11
DO  - 10.2991/978-94-6463-278-1_11
ID  - Davaanyam2023
ER  -