A sensitive band to optimize winter wheat crop residue cover estimation by eliminating moisture effect

Yamei Wang, Shuhe Zhao, Wenting Cai, Joon Heo, Fanchen Peng

Research output: Contribution to journalArticle

Abstract

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, R2005, 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 (R1.6/R1.5, R1.6/R2.0), using R2005 can increase R2 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, R2 is 0.958 and RMSE is 0.06, indicating R2005 has a high accuracy. Another advantage of R2005 is that it is more suitable to promote to actual production because of simple and efficient band calculation.

Original languageEnglish
Article number3032
JournalSustainability (Switzerland)
Volume11
Issue number11
DOIs
Publication statusPublished - 2019 Jun 1

Fingerprint

crop residue
Crops
Moisture
wheat
moisture
water
winter
laboratory experiment
Soils
Mean square error
Water content
water content
effect
Soil moisture
Biological materials
soil organic matter
cellulose
Remote sensing
Cellulose
soil

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Management, Monitoring, Policy and Law

Cite this

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abstract = "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, R2005, 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 (R1.6/R1.5, R1.6/R2.0), using R2005 can increase R2 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, R2 is 0.958 and RMSE is 0.06, indicating R2005 has a high accuracy. Another advantage of R2005 is that it is more suitable to promote to actual production because of simple and efficient band calculation.",
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A sensitive band to optimize winter wheat crop residue cover estimation by eliminating moisture effect. / Wang, Yamei; Zhao, Shuhe; Cai, Wenting; Heo, Joon; Peng, Fanchen.

In: Sustainability (Switzerland), Vol. 11, No. 11, 3032, 01.06.2019.

Research output: Contribution to journalArticle

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