Soil organic carbon content estimation with laboratory-based visible-near-infrared reflectance spectroscopy: feature selection.

Abstract

This study, with Yixing (Jiangsu Province, China) and Honghu (Hubei Province, China) as study areas, aimed to compare the successive projection algorithm (SPA) and the genetic algorithm (GA) in spectral feature selection for estimating soil organic carbon (SOC) contents with visible-near-infrared (Vis-NIR) reflectance spectroscopy and further to assess… (More)
DOI: 10.1366/13-07294

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Cite this paper

@article{Shi2014SoilOC, title={Soil organic carbon content estimation with laboratory-based visible-near-infrared reflectance spectroscopy: feature selection.}, author={Tiezhu Shi and Yiyun Chen and Huizeng Liu and Junjie Wang and Guofeng Wu}, journal={Applied spectroscopy}, year={2014}, volume={68 8}, pages={831-7} }