Issue |
E3S Web Conf.
Volume 227, 2021
Annual International Scientific Conference on Geoinformatics – GI 2021: “Supporting sustainable development by GIST”
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Article Number | 02004 | |
Number of page(s) | 7 | |
Section | GIS for Management in the Field of Environmental Protection | |
DOI | https://doi.org/10.1051/e3sconf/202122702004 | |
Published online | 06 January 2021 |
Climate indicators for forest landing and evaluation of forest shelterbelts
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Faculty of Land Resources Management, 39, Qori Niyazi Street, Tashkent 700000, Uzbekistan
* Corresponding author: e-mail: Begimova-1993@mail.ru
Forest shelter belts are one of the effective approaches in the fight against wind erosion, improving the microclimate of fields, protecting roads and reservoirs. The problem of assessing forest plantations and prospects for their creation is relevant for many countries of the world, due to the problem of desertification, water and wind erosion, as well as the global food crisis. The carried out analysis of scientific literature has shown that the existing assessments of forest shelter belts with insufficient degree are being taken into account the modern methods of remote sensing.Therefore, the problem of assessing forest shelterbelts from satellite imagery is relevant.The main part and research results. During the summer period of 2019, in the territory of the protective forest plantations of Fergana Valley of the Republic of Uzbekistan there were laid 170 testing plots. Then 20 test sites, which were used as reference for thematic mapping, there were laid with the collection of additional information: location coordinates and bookmark location.The purpose of the study is to assess the area of forest shelter belts zones of the Republic of Uzbekistan using remote sensing.The object of the study is forest shelter belts of Fergana Valley of the Republic of Uzbekistan.
© The Authors, published by EDP Sciences, 2021
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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