M. Nivas Raj

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 · 2022

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...

Open access Research Article 10.9734/ijecc/2022/v12i1030922

Mapping of Soil Properties Using Machine Learning Techniques

S. Sridevy, M. Nivas Raj, P. Kumaresan, N. Balakrishnan, M. Tilak, J. Arockia Stephen Raj & P. Jona Innisai Rani · International Journal of Environment and Climate Change · 2023

We aimed to estimate Soil Nutrients and relate the spectral signatures to that of the Laboratory reference Measurements utilizing CART analysis. Sustainable agriculture aims at controlled and/or precise soil fertility interventions based on spatial soil information. The profound...

Open access Research Article 10.9734/ijecc/2023/v13i81997

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

High dimensional datasets that depict intricate spatial variations are necessary to predict complex landscape structures and the corresponding soil properties taking into account the size of the research region in addition to the data attributes. The number and quality of the inp...

Open access Research Article 10.9734/ijecc/2023/v13i92469