Research article | Open Access | Peer review: yes

Received: 15.02.2024 | Accepted: 15.03.2024 | Available online: 25.03.2024

Analysis of irrigated crops by remote sensing using the NDVI spectral index

Zverkov Mikhail Sergeevich , Smelova Svetlana Stanislavovna

Federal state budgetary scientific institution «All-Russian scientific research Institute «Raduga», Kolomna, Russia

DOI: 10.35688/2413-8452-2024-01-004

Abstract

The purpose of the study was to analyze the status of the late-ripening irrigated potato crop Solanum tuberosum L. late planting dates on the dynamics of the NDVI index during the growing season. Data from the Sentinel-2 satellite of the European Space Agency and the orthophotomap of the site created by the authors of this article are used. As a result of the analysis, it was established that the NDVI and NDMI distribution functions are similar. The median NDVI in the phenological phase of flowering was 0.765 ± 0.022 (coefficient of variation 0.109). Statistically significant (statistical significance level p < 0.05) are the differences in NDMI of irrigated and non-irrigated areas (the relationship is weak, correlation coefficients 0.09... 0.38), which is also typical for NDVI (0.25... 0.54). The correlation between in-season NDMI and NDVI data series is characterized as moderate and sporadically weak for individual dates. At the same time, a positive correlation is observed for sampling the NDMI and NDVI series of irrigated (0.18... 0.84) and non-irrigated (0.35... 0.83) areas.

Keywords

remote sensing of the Earth, satellite image, Sentinel-2, potatoes, Solanum tuberosum L., NNDVI, NDMI, vegetation index, QGIS, SAGA GIS

Cite

Zverkov M.S., Smelova S.S. Analysis of irrigated crops by remote sensing using the NDVI spectral index // Ekologiya i stroitelstvo. 2024. # 1. P. 24–34. doi: 10.35688/2413-8452-2024-01-004.

© 2024 The Author(s), Ekologiya i Stroitelstvo.