COMPARING NORMALIZED DIFFERENCE VEGETATION INDEX VALUES ON FALLOWS FIELDS WITH DIFFERENT SOIL TYPES
DOI:
https://doi.org/10.36074/grail-of-science.17.10.2025.044Keywords:
bare soil, black soil, brown soil, dark-chestnut soil, remote sensing, t-testSummary
Remote sensing data has a wide range of practical implementations in agroecological studies. Most applications rely mainly upon the calculation of vegetation indices, such as NDVI or EVI, to estimate various properties of vegetation cover. However, because each type of soil has its unique reflectance properties, it is crucial to take them into consideration when performing vegetation cover monitoring. The purpose of this study is to compare the bare-soil NDVI values, derived from OneSoil cloud platform (Sentinel-2 imagery), on the fallow fields representing three major soil types: black soil, brown soil and dark-chestnut soil. The comparison was performed through t-test using 100 data samples collected during 2024-2025 on the fallow fields located in southern Ukraine and northern France. It was established that all the soil types are statistically significantly different from each other: dark-chestnut soil consistently has the highest mean NDVI value, followed by brown soil, then black soil. In general, mean NDVI values for bare soil with almost zero vegetation cover are within 0.15-0.19. These findings should be taken into account when performing NDVI-based crop growth monitoring, especially on germination and the initial growth stages, as well as estimation of fallow field weed infestation rates.
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Copyright (c) 2025 Pavlo Lykhovyd, Dmytro Maksymov
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