Issue |
E3S Web of Conf.
Volume 462, 2023
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2023)
|
|
---|---|---|
Article Number | 03020 | |
Number of page(s) | 12 | |
Section | Soil Science and Natural Resources Management | |
DOI | https://doi.org/10.1051/e3sconf/202346203020 | |
Published online | 12 December 2023 |
Land degradation in Central Asia: a review of papers from the Scopus database published in English for the period of 2000-2020
1 “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Kary-Niaziy str. 39, 100000 Tashkent, Uzbekistan
2 Turin Polytechnic University in Tashkent, Little Ring Road street 17, 100095 Tashkent, Uzbekistan
3 National University of Uzbekistan named after Mirzo Ulugbek, 4 University str., 100174 Tashkent, Uzbekistan
4 Karshi Engineering and Economic Institute, Karshi city, mustakillik Avenue, 180100 Karshi, Uzbekistan
5 Tashkent State Technical University, University street 2, 100095 Tashkent, Uzbekistan
* Corresponding author: mukhiddinjuliev@gmail.com
Land degradation has a big influence for Central Asia. The territory of Central Asia is rarely discovered and it can be seen by the number of published papers in English. There is a high potential of applying remote sensing (RS) and geographical information systems (GIS) for the mapping and monitoring of degraded lands. In the present research we tried to collect all Scopus-based publications in English for 20 years using land degradation as a keyword. We analyzed the most popular journals, top authors, top-cited papers, top countries, and the role of remote sensing (RS) and geographic information systems (GIS) in the land degradation issues of Central Asia. RS and GIS technologies are good tools, but in Central Asia researchers have to spread them widely. Data-sharing systems and lack of international cooperation could bring more joint projects and publications on land degradation issues.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.