Remote sensing estimation of winter wheat residue cover with dry and wet soil background
Estimation of crop residue cover is important for energy balance in agroecosystem and sustainable development of agriculture. We evaluated the dimidiate pixel model, widely used for estimating photosynthetic vegetation cover, for non-photosynthetic vegetation (such as winter wheat residue) cover est...
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Elsevier
2025-02-01
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| Series: | Agricultural Water Management |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377424005638 |
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| author | Yuwei Yao Hongrui Ren Yujie Liu |
| author_facet | Yuwei Yao Hongrui Ren Yujie Liu |
| author_sort | Yuwei Yao |
| collection | DOAJ |
| description | Estimation of crop residue cover is important for energy balance in agroecosystem and sustainable development of agriculture. We evaluated the dimidiate pixel model, widely used for estimating photosynthetic vegetation cover, for non-photosynthetic vegetation (such as winter wheat residue) cover estimation. In this study, based on spectral and cover data of winter wheat residue in dry and wet soil backgrounds, the spectral curves of winter wheat residue and soil were identified, the applicability of non-photosynthetic vegetation indices in dimidiate pixel model was analyzed, and the potential of dimidiate pixel model to estimate winter wheat residue cover was explored. In dry soil background, a lignocellulose absorption trough near 2100 nm in the spectral curve of residue-soil mixed scene was observed, and the absorption trough became deeper with increasing residue cover. The normalized difference tillage index (NDTI) had the best correlation with the measured cover of winter wheat residue, and the dimidiate pixel model constructed on the basis of this index was able to accurately estimate the winter wheat residue cover (R2=0.64, RMSE=0.16, RE=26.32 %). In wet soil background, the ability of non-photosynthetic vegetation index to distinguish between winter wheat residue and soil was reduced by soil moisture. The results of this study provide effective insights into the estimation of winter wheat residue cover under different soil moisture conditions, and provide a useful reference for the study of remote sensing estimation of crop residue cover in a large region. The dimidiate pixel model using NDTI can also be used to estimate non-photosynthetic vegetation cover of natural vegetation. |
| format | Article |
| id | doaj-art-7d83b0a8eb4c4b16b6ebfad4d8dd4854 |
| institution | Kabale University |
| issn | 1873-2283 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Agricultural Water Management |
| spelling | doaj-art-7d83b0a8eb4c4b16b6ebfad4d8dd48542025-01-07T04:16:47ZengElsevierAgricultural Water Management1873-22832025-02-01307109227Remote sensing estimation of winter wheat residue cover with dry and wet soil backgroundYuwei Yao0Hongrui Ren1Yujie Liu2Department of Geomatics, Taiyuan University of Technology, Taiyuan 030024, ChinaDepartment of Geomatics, Taiyuan University of Technology, Taiyuan 030024, China; Correspondence to: Taiyuan University of Technology, No. 79, West Yingze Street, Taiyuan 030024, China.Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Correspondence to: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China.Estimation of crop residue cover is important for energy balance in agroecosystem and sustainable development of agriculture. We evaluated the dimidiate pixel model, widely used for estimating photosynthetic vegetation cover, for non-photosynthetic vegetation (such as winter wheat residue) cover estimation. In this study, based on spectral and cover data of winter wheat residue in dry and wet soil backgrounds, the spectral curves of winter wheat residue and soil were identified, the applicability of non-photosynthetic vegetation indices in dimidiate pixel model was analyzed, and the potential of dimidiate pixel model to estimate winter wheat residue cover was explored. In dry soil background, a lignocellulose absorption trough near 2100 nm in the spectral curve of residue-soil mixed scene was observed, and the absorption trough became deeper with increasing residue cover. The normalized difference tillage index (NDTI) had the best correlation with the measured cover of winter wheat residue, and the dimidiate pixel model constructed on the basis of this index was able to accurately estimate the winter wheat residue cover (R2=0.64, RMSE=0.16, RE=26.32 %). In wet soil background, the ability of non-photosynthetic vegetation index to distinguish between winter wheat residue and soil was reduced by soil moisture. The results of this study provide effective insights into the estimation of winter wheat residue cover under different soil moisture conditions, and provide a useful reference for the study of remote sensing estimation of crop residue cover in a large region. The dimidiate pixel model using NDTI can also be used to estimate non-photosynthetic vegetation cover of natural vegetation.http://www.sciencedirect.com/science/article/pii/S0378377424005638Winter wheatCrop residue coverNon-photosynthetic vegetation indexDimidiate pixel modelRemote sensing |
| spellingShingle | Yuwei Yao Hongrui Ren Yujie Liu Remote sensing estimation of winter wheat residue cover with dry and wet soil background Agricultural Water Management Winter wheat Crop residue cover Non-photosynthetic vegetation index Dimidiate pixel model Remote sensing |
| title | Remote sensing estimation of winter wheat residue cover with dry and wet soil background |
| title_full | Remote sensing estimation of winter wheat residue cover with dry and wet soil background |
| title_fullStr | Remote sensing estimation of winter wheat residue cover with dry and wet soil background |
| title_full_unstemmed | Remote sensing estimation of winter wheat residue cover with dry and wet soil background |
| title_short | Remote sensing estimation of winter wheat residue cover with dry and wet soil background |
| title_sort | remote sensing estimation of winter wheat residue cover with dry and wet soil background |
| topic | Winter wheat Crop residue cover Non-photosynthetic vegetation index Dimidiate pixel model Remote sensing |
| url | http://www.sciencedirect.com/science/article/pii/S0378377424005638 |
| work_keys_str_mv | AT yuweiyao remotesensingestimationofwinterwheatresiduecoverwithdryandwetsoilbackground AT hongruiren remotesensingestimationofwinterwheatresiduecoverwithdryandwetsoilbackground AT yujieliu remotesensingestimationofwinterwheatresiduecoverwithdryandwetsoilbackground |