A Sensitive Band to Optimize Winter Wheat Crop Residue Cover Estimation by Eliminating Moisture Effect

Crop residues can retain soil moisture and increase soil organic matter. Crop residue cover is also a hot issue in agricultural remote sensing. Crop residue cover can be estimated linearly with cellulose absorption index (CAI), while moisture of crop residues and soil would reduce the accuracy of cr...

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Bibliographic Details
Main Authors: Yamei Wang, Shuhe Zhao, Wenting Cai, Joon Heo, Fanchen Peng
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/11/3032
Description
Summary:Crop residues can retain soil moisture and increase soil organic matter. Crop residue cover is also a hot issue in agricultural remote sensing. Crop residue cover can be estimated linearly with cellulose absorption index (CAI), while moisture of crop residues and soil would reduce the accuracy of crop residue cover estimation. Crop residue and soil were used as materials to carry out the laboratory experiment to reveal the impact of moisture on crop residue cover estimation and eliminate said impact. This paper discovered a sensitive band, <i>R</i><sub>2005</sub>, which can invert water content of materials to eliminate moisture effect and improve estimation accuracy of crop residue cover. In terms of inverting water content, compared with two ratio water indices proposed in 2016 (<i>R</i><sub>1.6</sub>/<i>R</i><sub>1.5</sub>, <i>R</i><sub>1.6</sub>/<i>R</i><sub>2.0</sub>), using <i>R</i><sub>2005</sub> can increase R<sup>2</sup> from 0.828 to 0.935 and decline root-mean-square error (RMSE) from 0.12 to 0.07. At the point of results validation, R<sup>2</sup> is 0.958 and RMSE is 0.06, indicating <i>R</i><sub>2005</sub> has a high accuracy. Another advantage of <i>R</i><sub>2005</sub> is that it is more suitable to promote to actual production because of simple and efficient band calculation.
ISSN:2071-1050