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Remote sensing estimation of winter wheat residue cover with dry and wet soil background

文献类型：期刊论文

作者Yao, Yuwei3; Ren, Hongrui3; Liu, Yujie1,2
刊名AGRICULTURAL WATER MANAGEMENT
出版日期2025-02-01
卷号307页码:109227
关键词Winter wheat Crop residue cover Non-photosynthetic vegetation index Dimidiate pixel model Remote sensing
ISSN号0378-3774
DOI10.1016/j.agwat.2024.109227
产权排序2
文献子类Article
英文摘要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.
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WOS关键词CROP RESIDUE ; INDEXES
WOS研究方向Agriculture ; Water Resources
语种英语
WOS记录号WOS:001433917100001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/213356]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Ren, Hongrui; Liu, Yujie
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
3.Taiyuan Univ Technol, Dept Geomat, Taiyuan 030024, Peoples R China;
推荐引用方式
GB/T 7714		 Yao, Yuwei,Ren, Hongrui,Liu, Yujie. Remote sensing estimation of winter wheat residue cover with dry and wet soil background[J]. AGRICULTURAL WATER MANAGEMENT,2025,307:109227.
APA Yao, Yuwei,Ren, Hongrui,&Liu, Yujie.(2025).Remote sensing estimation of winter wheat residue cover with dry and wet soil background.AGRICULTURAL WATER MANAGEMENT,307,109227.
MLA Yao, Yuwei,et al."Remote sensing estimation of winter wheat residue cover with dry and wet soil background".AGRICULTURAL WATER MANAGEMENT 307(2025):109227.

入库方式： OAI收割

来源：地理科学与资源研究所

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