Estimation of Soil Organic Carbon using Optical Sensors

Anveshika Singh; Swati Suman; Prashant K. Srivastava

Anveshika Singh Remote Sensing Laboratory, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi-221005, India
Swati Suman Remote Sensing Laboratory, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi-221005, India
Prashant K. Srivastava Remote Sensing Laboratory, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi-221005, India

Abstract

In this study, we estimated SOC of the soil samples collected from the selected validation sites situated in Agricultural farms, Banaras Hindu University following the standard Walkley- Black Colorimetric Method. We also developed a conceptual model to predict SOC content using most widely used satellite derived vegetation index, NDVI. Results of the performance shows good potential of the algorithm in predicting finer resolution SOC estimates. Although the model attempted in this study is not very robust, more studies should be encouraged to investigate application of Machine Learning algorithm in developing high resolution SOC product for wide range of application in Agriculture and Ecosystem management studies.

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