Agricultural land monitoring using SENTINEL-2 satellite data
DOI:
https://doi.org/10.51301/vest.su.2021.i2.02Keywords:
agriculture, Sentinel-2, remote sensing, monitoring, vegetation indices, NDVI.Abstract
The article presents the issues of monitoring and analysis of agricultural land using satellite imagery data. Images from the European Space Agency's Sentinel-2 satellite were used as the main research material. This satellite provides optical data that is used for many areas, such as monitoring for floods, landslides, fires, agricultural crops, etc. The area of the Northern Economic Zone of Kazakhstan, the mouth of the Yessil River, was used as the object of the study. The vegetation index NDVI (Normalized Difference Vegetation Index) was used for monitoring, and the basic principles of its application were explained. The analysis of the obtained result is presented and the diagrams show changes in the vegetation background of the studied territory. Special recommendations were given for further improvement of research methods and its effectiveness was justified.
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Copyright (c) 2021 VESTNIK KAZNRTU
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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