Issue |
E3S Web of Conf.
Volume 443, 2023
II International Conference on Environmental Technologies and Engineering for Sustainable Development (ETESD-II 2023)
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Article Number | 06015 | |
Number of page(s) | 12 | |
Section | Computing, Mathematics, Cybernetics, Information and Earth Space Sensing Systems for Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202344306015 | |
Published online | 09 November 2023 |
Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth Engine
“Tashkent institute of irrigation and agricultural mechanization engineering” National research university Tashkent, Uzbekistan
* Corresponding author: ilhomaslanov@gmail.com
Desertification is a significant environmental issue affecting arid and semi-arid regions globally, including Central Asia. Monitoring and analyzing desertification trends is crucial for understanding the extent of land degradation and implementing effective management strategies. This literature review aims to provide an overview of existing research on analyzing desertification trends in Central Asia using MODIS data and the application of Google Earth Engine for analysis. Remote Sensing and Desertification Monitoring: Remote sensing techniques, particularly those utilizing satellite data, have been widely employed for monitoring desertification processes. The Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard various NASA satellites provides valuable data for assessing vegetation dynamics and land cover changes associated with desertification. Central Asia and Desertification: Central Asia, encompassing countries such as Kazakhstan, Uzbekistan, Turkmenistan, Kyrgyzstan, and Tajikistan, faces significant desertification challenges. Studies have highlighted the impacts of climate change, unsustainable land management practices, and population growth on desertification in the region. Monitoring and analyzing desertification trends in Central Asia are essential for developing targeted mitigation and adaptation strategies.
© 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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