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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15158
Title: Spatial soil organic carbon (SOC) prediction by regression kriging using remote sensing data
Authors: Mondal A.
Khare, Deepak
Kundu S.
Mondal S.
Mukherjee S.
Mukhopadhyay A.
Published in: Egyptian Journal of Remote Sensing and Space Science
Abstract: The present study has illustrated the estimation of the soil organic carbon (SOC) distribution from point survey data (prepared after laboratory test) by a hybrid interpolation method, viz. regression kriging (RK) in a part of the Narmada river basin in the central India. In this study, eight selected predictor variables are used such as, brightness index (BI), greenness index (GI), wetness index (WI), normalized difference vegetation index (NDVI), vegetation temperature condition index (VTCI), digital elevation model (DEM), and slope and compound topographic index (CTI). The RK method has given satisfactory results as observed from the level of accuracy. Finally, the amount of SOC content in varied slope, soil and landuse categories has been analysed. Concentration of SOC has been observed to be more in low elevated areas in clay soil with mainly agricultural and vegetated lands. © 2016 National Authority for Remote Sensing and Space Sciences
Citation: Egyptian Journal of Remote Sensing and Space Science (2017), 20(1): 61-70
URI: https://doi.org/10.1016/j.ejrs.2016.06.004
http://repository.iitr.ac.in/handle/123456789/15158
Issue Date: 2017
Publisher: Elsevier B.V.
Keywords: Hybrid interpolation
Predictor variables
Regression kriging
SOC
ISSN: 11109823
Author Scopus IDs: 56185631400
14060295600
56185410500
55421242200
55509690600
55497452100
Author Affiliations: Mondal, A., Department of Water Resources Development & Management, Indian Institute of Technology, Roorkee, India
Khare, D., Department of Water Resources Development & Management, Indian Institute of Technology, Roorkee, India
Kundu, S., Department of Water Resources Development & Management, Indian Institute of Technology, Roorkee, India
Mondal, S., Division of Land & Water Management, Research Complex for Eastern Region (RCER), Indian Council of Agricultural Research (ICAR), Patna, India
Mukherjee, S., Department of Natural Resources, TERI University, New Delhi, 110 070, India
Mukhopadhyay, A., School of Oceanographic Studies, Jadavpur University, Kolkata, India
Corresponding Author: Mondal, A.; Department of Water Resources Development & Management, Indian Institute of TechnologyIndia; email: arun.iirs@gmail.com
Appears in Collections:Journal Publications [WR]

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