Remotely sensed canopy resistance model for analyzing the stomatal behavior of environmentally-stressed winter wheat | |
Zhu, Kangying1,2; Sun, Zhigang1,2,3,4; Zhao, Fenghua1; Yang, Ting3,4; Tian, Zhenrong1; Lai, Jianbin1; Long, Buju5; Li, Shiji1,2 | |
刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING |
2020-10-01 | |
卷号 | 168页码:197-207 |
关键词 | Remote sensing model Canopy resistance Stomatal behavior Dry-hot wind stress Salt stress Winter wheat |
ISSN号 | 0924-2716 |
DOI | 10.1016/j.isprsjprs.2020.08.012 |
通讯作者 | Sun, Zhigang(sun.zhigang@igsnrr.ac.cn) |
英文摘要 | Stomata is an important channel for the exchange of water and gas between crops and the external environment. Stomatal behavior can shed light on how environmental stressors affect crop growth. Traditional stomata investigation methods involve experimental laboratory measurements of specific plants using stoma-related instruments or a field plot. However, developing a new remote sensing canopy resistance model for analyzing the stomatal behavior of crops under typical environmental stress is essential for regional agricultural management. Canopy resistance is a vital microscale-macroscale (from kilometers to micrometers) bridge that represents the stomatal behavior of the entire crop. In this study, a remote sensing canopy resistance model was proposed based on the Penman-Monteith model and a remote sensing evapotranspiration model. The model was verified by field-observed winter wheat data at the Yucheng Comprehensive Experiment Station (YCES) with dryhot wind (DHW) and brackish water irrigation treatments from 2017 to 2019. The model measured canopy resistance (regression coefficient = 1.25; R-2 = 0.98) well. Finally, remote sensing-based canopy resistance measurements were used to investigate the effects of soil salinity and dry-hot wind on the winter wheat. The results showed excellent model performance for retrieving crop stomatal behavior under two environmental stresses and proved that the proposed remote sensing canopy resistance model is a promising tool for the investigation of stomatal behavior under environmental stress; this is particularly relevant for regional precision farming. |
资助项目 | National Natural Science Foundation of China[31570472] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040303] ; National Key Research and Development Program of China[2017YFC0503805] ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences[KFJ-STS-ZDTP-049] |
WOS关键词 | WATER-USE EFFICIENCY ; SCALING-UP ; SALT TOLERANCE ; LEAF ; CONDUCTANCE ; FLUX ; VARIABILITY ; CULTIVARS ; TRANSPORT ; SYSTEM |
WOS研究方向 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
出版者 | ELSEVIER |
WOS记录号 | WOS:000567932300015 |
资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Program of China ; Science and Technology Service Network Initiative of the Chinese Academy of Sciences |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/156827] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Sun, Zhigang |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Shandong Dongying Inst Geog Sci, Inst Geog Sci & Nat Resources Res, Dongying 257000, Peoples R China 4.Chinese Acad Sci, CAS Engn Lab Yellow River Delta Modern Agr, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 5.China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China |
推荐引用方式 GB/T 7714 | Zhu, Kangying,Sun, Zhigang,Zhao, Fenghua,et al. Remotely sensed canopy resistance model for analyzing the stomatal behavior of environmentally-stressed winter wheat[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2020,168:197-207. |
APA | Zhu, Kangying.,Sun, Zhigang.,Zhao, Fenghua.,Yang, Ting.,Tian, Zhenrong.,...&Li, Shiji.(2020).Remotely sensed canopy resistance model for analyzing the stomatal behavior of environmentally-stressed winter wheat.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,168,197-207. |
MLA | Zhu, Kangying,et al."Remotely sensed canopy resistance model for analyzing the stomatal behavior of environmentally-stressed winter wheat".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 168(2020):197-207. |
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