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Research Article Open access CC BY 4.0

Generating Soil Parent Material Environmental Covariates Using Sentinel – 2A Images for Delineating Soil Attributes

M. Nivas Raj, R. Kumaraperumal, S. Pazhanivelan, D. Muthumanickam, K. P. Ragunath, M. Ashmitha Nihar, N. S. Sudarmanian

International Journal of Environment and Climate Change · pp. 1245–1256 · Published 28 Jun 2022

10.9734/ijecc/2022/v12i1030922

Abstract

Soil mapping procedures typically involve the combination of possible soil-forming SCORPAN factors. Among the factors, parent materials/ mineralogy has been considered important for the soil classification besides the Organisms (O) and Relief (R). Inclusion of the parent material covariate for the Digital soil mapping involves implication through geological maps, spectral derivatives and predictive modelling. In this study, the most prominent parent materials identified were derived using the spectral indices formulated based on the Sentinel – 2A multispectral information. While considering the coarse spatial resolution constraints of the existing Landsat -8 bands that may limit certain applications, Sentinel-2 images were used for the indices derivation. The generated mineral maps can support the digital soil mapping of the soil attributes at different spatial scales.

Parent materials/mineralogy SCORPAN factors sentinel -2A spectral indices

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Cited by 2

Identifying Prominent Environmental Covariates Using Variable Selection Methodologies for Digital Soil Mapping of Tamil Nadu, India

T. Tarun Kshatriya, R. Kumaraperumal, D. Muthumanickam, S. Pazhanivelan, K. P. Ragunath, M. Nivas Raj · International Journal of Environment and Climate Change · 2023

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