| Issue |
E3S Web Conf.
Volume 176, 2020
International Scientific and Practical Conference “From Inertia to Develop: Research and Innovation Support to Agriculture” (IDSISA 2020)
|
|
|---|---|---|
| Article Number | 04007 | |
| Number of page(s) | 5 | |
| Section | Resource-Saving Technologies, Technical Means and the Digital Platform of the Agro-Industrial Complex | |
| DOI | https://doi.org/10.1051/e3sconf/202017604007 | |
| Published online | 22 June 2020 | |
Using GIS technology for identification of agricultural land with an increased risk of erosion
Belgorod State National Research University, 308015, 85, Pobedy St., Belgorod, Russia
* Corresponding author: buryak@bsu.edu.ru
The article discusses the results of spatial analysis of agricultural land in geographic information systems for automated identification of arable land with high risk of soil water erosion. For the Belgorod Region, which has a high soil and climatic potential and is one of the leading agrarian regions of Russia, a spatial model for potential clean fallow-based rainfall erosion has been constructed. For calculations, the RUSLE equation was used, and the input data were obtained from a digital elevation model with 30 m resolution, 1:200,000 soil map and interpolated data on rainfall. As a result, we have identified the areas with very strong potential erosion (more than 20 t/ha per year) and generated a regional geodatabase. The obtained results can be used to plan measures to change the structure of crop rotation on the slopes and environmental renaturation of degraded arable land.
© The Authors, published by EDP Sciences, 2020
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.