Development of hyperspectral model for rapid monitoring of soil ...

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Development of hyperspectral model for rapid monitoring of soil organic carbon under precision farming in the IndoGangetic Plains of Punjab, India Rajeev Srivastava, Dipak Sarkar, Siddhartha S. Mukhopadhayay, Anil Sood, Manjeet Singh, Ravindra A. Nasre & Sanjay A. Dhale Journal of the Indian Society of Remote Sensing ISSN 0255-660X J Indian Soc Remote Sens DOI 10.1007/s12524-015-0458-0

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Author's personal copy J Indian Soc Remote Sens DOI 10.1007/s12524-015-0458-0

RESEARCH ARTICLE

Development of hyperspectral model for rapid monitoring of soil organic carbon under precision farming in the Indo-Gangetic Plains of Punjab, India Rajeev Srivastava 1 & Dipak Sarkar 1 & Siddhartha S. Mukhopadhayay 2 & Anil Sood 3 & Manjeet Singh 2 & Ravindra A. Nasre 1 & Sanjay A. Dhale 4

Received: 3 July 2013 / Accepted: 15 March 2015 # Indian Society of Remote Sensing 2015

Abstract Degrading soil quality at an alarming rate as a result of high input agriculture under continuous rice-wheat cropping system in the Indo-Gangetic alluvial Plains of Punjab (India), a major food growing region of south-east Asia, has ushered the need of precision farming for which rapid site specific monitoring of soil organic carbon (an indicator of soil quality) is needed. In this study, visible-near infrared reflectance spectroscopy was evaluated for rapid prediction of soil organic carbon (SOC) contents in soils of the Indo-Gangetic alluvial Plains of Punjab, India. A total of 800 surface soil samples (480 for calibration and 320 for validation) from farmers’ field representing the districts of Ludhiana, Moga, Gurdaspur and Bhatinda in Punjab State, India were collected, ensuring sufficient variation in SOC content. Reflectance spectra were obtained from air-dried samples (

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