气候变化领域集成服务门户(CCPortal): Winter wheat LAI inversion considering morphological characteristics at different growth stages coupled with microwave scattering model and canopy simulation model

CCPortal

DOI	10.1016/j.rse.2020.111681
	Winter wheat LAI inversion considering morphological characteristics at different growth stages coupled with microwave scattering model and canopy simulation model
	Wu S.; Yang P.; Ren J.; Chen Z.; Liu C.; Li H.
发表日期	2020
ISSN	00344257
卷号	240
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 R2, adjusted R2 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. © 2020 Elsevier Inc.
英文关键词	Canopy simulation model; LAI inversion; Microwave scattering model for winter wheat at different growth stages; Morphological characteristics; Winter wheat
语种	英语
scopus关键词	Remote sensing; Sensitivity analysis; Synthetic aperture radar; Different growth stages; LAI inversion; Microwave scattering model; Morphological characteristic; Parameter sensitivity analysis; SAR remote sensing; Simulation model; Winter wheat; Crops; leaf area index; microwave radiation; morphology; RADARSAT; remote sensing; sensitivity analysis; synthetic aperture radar; wheat; China; Hebei; Hengshui; Triticum aestivum
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179423
作者单位	Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences / Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs, P. R. China, Beijing, 100081, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
推荐引用方式 GB/T 7714	Wu S.,Yang P.,Ren J.,et al. Winter wheat LAI inversion considering morphological characteristics at different growth stages coupled with microwave scattering model and canopy simulation model[J],2020,240.
APA	Wu S.,Yang P.,Ren J.,Chen Z.,Liu C.,&Li H..(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.
MLA	Wu S.,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).