Raj, M. Nivas and Kumaraperumal, R. and Pazhanivelan, S. and Muthumanickam, D. and Ragunath, K. P. and Nihar, M. Ashmitha and Sudarmanian, N. S. (2022) Generating Soil Parent Material Environmental Covariates Using Sentinel – 2A Images for Delineating Soil Attributes. International Journal of Environment and Climate Change, 12 (10). pp. 1245-1256. ISSN 2581-8627
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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.
Item Type: | Article |
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Subjects: | Open Archive Press > Geological Science |
Depositing User: | Unnamed user with email support@openarchivepress.com |
Date Deposited: | 20 Jan 2023 07:20 |
Last Modified: | 22 May 2024 09:08 |
URI: | http://library.2pressrelease.co.in/id/eprint/220 |