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Rice growth parameters retrieval in Central China in a complex rice cropping system using multi-temporal and quad polarization Radarsat-2 data

机译:基于多时相和四极化Radarsat-2数据的复杂稻作系统中部华中稻的生长参数反演

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The objective of this study was to estimate rice growth parameters (LAI, crop height) in a timely and precise manner with FQ Radarsat-2 images. The proposed approach is based on the water cloud model, five Radarsat-2 images and coincident ground measurements obtained in Chizhou, in the Anhui province of Central China, during a single-cropping rice growth stage in 2014. This study investigated the comprehensive relationship between backscattering coefficients (VH, VV, HH, HV) derived from a high temporal frequency of Radarsat-2 images and rice growth parameters (LAI, crop height) during the vegetative stage, reproductive stage and entire growth period. Based on a correlation analysis and constructed models, the VV model (R2>0.8) was clearly better than HH model, and a VV image can be used to retrieve the LAI (vegetative stage, entire growth season); The crop height can also be derived from the VV image using the water cloud model with a determination coefficient above 0.6. The applicability of the models and SAR data from a different year (2013) was also assessed for Chizhou. The LAI time series and the crop height maps represented the rice growth status. The study demonstrated that the C-band SAR data and models would be useful for rice growth parameters retrieval independent of the region and year in regional scale.
机译:这项研究的目的是利用FQ Radarsat-2图像及时准确地估算水稻生长参数(LAI,作物高度)。该方法基于水云模型,五张Radarsat-2图像和在中国中部安徽省池州市在2014年单作水稻生长阶段获得的一致地面测量结果。本研究调查了两者之间的综合关系。在营养期,生殖期和整个生育期,从Radarsat-2图像的高时间频率和水稻生长参数(LAI,作物高度)得出的反向散射系数(VH,VV,HH,HV)。基于相关分析和构建的模型,VV模型(R2> 0.8)明显好于HH模型,并且可以使用VV图像检索LAI(营养期,整个生长季节);还可以使用水云模型从VV图像得出作物高度,其确定系数大于0.6。还针对池州评估了不同年份(2013年)的模型和SAR数据的适用性。 LAI时间序列和作物高度图代表了水稻的生长状况。研究表明,C波段SAR数据和模型将有助于获取与区域规模无关的区域和年份的水稻生长参数。

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