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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 5, pp. 203-218

Dynamics of used agricultural lands of the Volga-Akhtuba floodplain based on seasonal Sentinel-2 composite images

A. A. Vasilchenko 1 
1 Federal Scientific Center of Agroecology, Complex Meliorations and Agroforestry RAS, Volgograd, Russia
Accepted: 16.09.2024
DOI: 10.21046/2070-7401-2024-21-5-203-218
Monitoring the condition and use of agricultural fields in intrazonal floodplain landscapes is necessary for the development of rational environmental management. The article analyzes the features of the distribution of values of the NDVI (Normalized Difference Vegetation Index) within the fields used throughout the growing season, which were recorded using composite satellite images of the Sentinel-2A and Sentinel-2B satellites. It was revealed that the agricultural fields and pairs used can be identified by a set of NDVI distribution features. It has been experimentally proven that the greatest identification accuracy is achieved through the use of ranges in composites of minimum, maximum and range values for the growing season. Using an error matrix based on materials from expert interpretation and field research, the identification accuracy was calculated, making it possible to separate used and unused agricultural fields with a total accuracy of up to 93.1 %. The identified area of agricultural fields used correlates with statistical materials and within the floodplain in the period 2018–2022 is growing annually by 1–2 % (from 36.2 thousand hectares to 40.7 thousand hectares). It has been established that within the Volga-Akhtuba floodplain, the main places where agricultural lands are involved are associated with the infrastructure factor and are concentrated close to water sources, the main roads, sales places.
Keywords: Volga-Akhtuba floodplain, remote sensing, composite images, agricultural fields, NDVI, Sentinel-2
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