Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth Engine
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 re...
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Format: | Article |
Language: | English |
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EDP Sciences
2023-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/80/e3sconf_etesd2023_06015.pdf |
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author | Aslanov Ilhomjon Teshaev Nozimjon Khayitov Kholmurod Mukhtorov Uzbekkhon Khaitbaeva Jamila Murodova Dilrabo |
author_facet | Aslanov Ilhomjon Teshaev Nozimjon Khayitov Kholmurod Mukhtorov Uzbekkhon Khaitbaeva Jamila Murodova Dilrabo |
author_sort | Aslanov Ilhomjon |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-08T11:19:48Z |
format | Article |
id | doaj.art-e831ed3546a444508a764aff31052358 |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-03-08T11:19:48Z |
publishDate | 2023-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-e831ed3546a444508a764aff310523582024-01-26T10:02:26ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014430601510.1051/e3sconf/202344306015e3sconf_etesd2023_06015Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth EngineAslanov Ilhomjon0Teshaev Nozimjon1Khayitov Kholmurod2Mukhtorov Uzbekkhon3Khaitbaeva Jamila4Murodova Dilrabo5“Tashkent institute of irrigation and agricultural mechanization engineering” National research university Tashkent“Tashkent institute of irrigation and agricultural mechanization engineering” National research university Tashkent“Tashkent institute of irrigation and agricultural mechanization engineering” National research university Tashkent“Tashkent institute of irrigation and agricultural mechanization engineering” National research university Tashkent“Tashkent institute of irrigation and agricultural mechanization engineering” National research university Tashkent“Tashkent institute of irrigation and agricultural mechanization engineering” National research university TashkentDesertification 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/80/e3sconf_etesd2023_06015.pdf |
spellingShingle | Aslanov Ilhomjon Teshaev Nozimjon Khayitov Kholmurod Mukhtorov Uzbekkhon Khaitbaeva Jamila Murodova Dilrabo Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth Engine E3S Web of Conferences |
title | Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth Engine |
title_full | Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth Engine |
title_fullStr | Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth Engine |
title_full_unstemmed | Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth Engine |
title_short | Analysis of desertification trends in Central Asia based on MODIS Data using Google Earth Engine |
title_sort | analysis of desertification trends in central asia based on modis data using google earth engine |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/80/e3sconf_etesd2023_06015.pdf |
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