中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Winter wheat LAI inversion considering morphological characteristics at different growth stages coupled with microwave scattering model and canopy simulation model

文献类型:期刊论文

作者Wu, Shangrong1; Yang, Peng1; Ren, Jianqiang1; Chen, Zhongxin1; Liu, Changan1; Li, He2
刊名REMOTE SENSING OF ENVIRONMENT
出版日期2020-04-01
卷号240页码:15
关键词LAI inversion Winter wheat Canopy simulation model Microwave scattering model for winter wheat at different growth stages Morphological characteristics
ISSN号0034-4257
DOI10.1016/j.rse.2020.111681
通讯作者Ren, Jianqiang(renjianqiang@caas.cn) ; Chen, Zhongxin(chenzhongxin@caas.cn)
英文摘要To better eliminate the adverse effects of the ground surface on winter wheat Leaf area index (LAI) inversions and to further improve the accuracy of regional winter wheat LAI inversion using SAR remote sensing data, considering the morphological characteristics at different wheat growth stages, a winter wheat LAI inversion model coupled with the microwave scattering model (MSM) for winter wheat at different growth stages (MSMDGS) and the canopy scattering simulation model (CSSM) was proposed. In this research, taking Hengshui City of Huanghuaihai Plain of North China as the study region, using RADARSAT-2 data as image sources and based on parameter sensitivity analysis and model calibration, the proposed model was applied and validated. The LAI inversion results of winter wheat showed that the proposed model had good performance in the regional application and that LAI inversion results with high accuracy could be obtained. Among the three key growth stages (jointing stage, booting stage and heading stage) of winter wheat, the R-2, adjusted R-2 and RMSE between the LAI inversion value and the ground-measured data were 0.918, 0.917 and 0.675, respectively, which indicated that the winter wheat LAI inversion model coupled with MSMDGS and CSSM had certain feasibility and applicability.
WOS关键词LEAF-AREA INDEX ; RADIATIVE-TRANSFER MODEL ; BACKSCATTERING MODEL ; RADAR BACKSCATTER ; CROP HEIGHT ; PADDY RICE ; P-BAND ; PART 1 ; VEGETATION ; RETRIEVAL
资助项目National Natural Science Foundation of China[41801286] ; National Natural Science Foundation of China[41871353] ; National Natural Science Foundation of China[41921001] ; National Natural Science Foundation of China[41871358] ; Young Elite Scientists Sponsorship Program by CAST[2018CAASS04] ; Open Project Fund for Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs[201708] ; Fundamental Research Funds for Central Non-profit Scientific Institution[1610132018016]
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000523955300043
出版者ELSEVIER SCIENCE INC
资助机构National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Open Project Fund for Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs ; Fundamental Research Funds for Central Non-profit Scientific Institution
源URL[http://ir.igsnrr.ac.cn/handle/311030/134057]  
专题中国科学院地理科学与资源研究所
通讯作者Ren, Jianqiang; Chen, Zhongxin
作者单位1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Beijing 100081, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Wu, Shangrong,Yang, Peng,Ren, Jianqiang,et al. Winter wheat LAI inversion considering morphological characteristics at different growth stages coupled with microwave scattering model and canopy simulation model[J]. REMOTE SENSING OF ENVIRONMENT,2020,240:15.
APA Wu, Shangrong,Yang, Peng,Ren, Jianqiang,Chen, Zhongxin,Liu, Changan,&Li, He.(2020).Winter wheat LAI inversion considering morphological characteristics at different growth stages coupled with microwave scattering model and canopy simulation model.REMOTE SENSING OF ENVIRONMENT,240,15.
MLA Wu, Shangrong,et al."Winter wheat LAI inversion considering morphological characteristics at different growth stages coupled with microwave scattering model and canopy simulation model".REMOTE SENSING OF ENVIRONMENT 240(2020):15.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。