Digital soil mapping of soil organic carbon stocks in Western Ghats, South India

• Published in: Geoderma Regional Vol. 25; p. e00387
• Main Authors: Dharumarajan, S., Kalaiselvi, B., Suputhra, Amar, Lalitha, M., Vasundhara, R., Kumar, K.S. Anil, Nair, K.M., Hegde, Rajendra, Singh, S.K., Lagacherie, Philippe
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2021; Elsevier
• Subjects: Agricultural sciences; algorithms; carbon sequestration; carbon sinks; Cross validation; data collection; Digital soil mapping; India; Landsat; landscapes; Life Sciences; Multiple soil classes; prediction; Quantile Regression Forest; regression analysis; SOC stock; soil organic carbon; soil profiles; soil quality; Soil study; spatial data; Western Ghats; India; Quantile Regression Forest; SOC stock; Western Ghats; Cross validation; Multiple soil classes; Digital soil mapping

Spatial information of soil carbon storage at national and global level is essential for soil quality and environmental management. Improved knowledge on the amount and spatial distribution of the carbon stock in soils is crucial in estimating changes in the terrestrial carbon dynamics and managemen...