| Issue |
SHS Web Conf.
Volume 100, 2021
IV International Scientific Congress “Society of Ambient Intelligence – 2021” (ISCSAI 2021)
|
|
|---|---|---|
| Article Number | 05014 | |
| Number of page(s) | 7 | |
| Section | Ecology and Living Space | |
| DOI | https://doi.org/10.1051/shsconf/202110005014 | |
| Published online | 25 March 2021 | |
Assessment of the Ecological Condition of Soil Cover Based on Remote Sensing Data: Erosional Aspect
1 V.N. Karazin KhNU, School of Ecology, 61022, Kharkiv Ukraine
2 NSC «O.N. Sokolovsky ISSAR», Soil Erosion Control Laboratory, 61024, Kharkiv Ukraine
3 Royal Botanic Garden Edinburgh, EH3 5LR Edinburgh, United Kingdom
* Corresponding author: achasov@karazin.ua
Soil erosion by water is the most important global environmental problem. A modern system for assessing and monitoring soil erosional degradation should be based on the use of remote sensing data. This raises the issue of correct data decoding. The article proposes a method for visual interpretation of eroded soils according to the Sentinel image obtained in the visible range. The authors give some combinations of decoding signs to determine the manifestations of linear and surface water erosion from images. The article shows possible errors in decoding the manifestations of water erosion and gives an example of assessing the erosion of the soil cover based on the results of decoding the Sentinel-2 satellite image. Moderately and heavily eroded soils are reliably distinguished, the area of which, according to the interpretation data, was 2.4% of the area of arable land in the studied territory. In the future, the obtained sample of spectral images of eroded soils can be used to develop an automated method of interpretation based on the principle of "computer vision".
© 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.
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.