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In-season biomass estimation of oilseed rape (Brassica napus L.) using fully polarimetric SAR imagery

文献类型： 外文期刊

作者： Yang, Hao 1 ; Yang, Guijun 1 ; Gaulton, Rachel 2 ; Zhao, Chunjiang 1 ; Li, Zhenhong 2 ; Taylor, James 4 ; Wicks, Danie 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

2.Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

3.Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China

4.Newcastle Univ, Sch Agr Food & Rural Dev, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

5.Satellite Applicat Catapult, Didcot OX11 0QR, Oxon, England

关键词： RADARSAT-2; Biomass; Polarimetric features; Polarimetric decomposition; Rapeseed

期刊名称：PRECISION AGRICULTURE （ 影响因子：5.385； 五年影响因子：5.004 ）

ISSN： 1385-2256

年卷期： 2019 年 20 卷 3 期

页码：

收录情况： SCI

摘要： Accurate estimation of crop biophysical and biochemical parameters during crop growing seasons is essential for improving site-specific management and yield estimation. The potential ability of fully polarimetric synthetic aperture radar (SAR) data in estimating above-ground biomass of oilseed rape was investigated in this study. The temporal profile of different scattering intensity and polarimetric features during the entire growing season was identified with ground measurements. A polarimetric feature, relying on the polarimetric decomposition method, was put forward to estimate the biomass of oilseed rape. Validation results revealed great potential with a determination coefficient (R-2) of 0.85, root mean squared error (RMSE) of 41.6g/m(2), and relative error (RE) of 28.5% for dry biomass, and an R-2 of 0.76, RMSE of 527.4g/m(2) and RE of 28.6% for fresh biomass. Moreover, the use of full polarization SAR data was compared with single and dual polarization SAR data. The results suggest that when full polarization SAR data is available, a simpler model, higher saturation point and better accuracy can be achieved in biomass estimation of oilseed rape, which highlights the importance and value of polarimetry information in quantitative crop monitoring. This study provides guidelines for in-season monitoring of crop growth parameters with SAR data, which further improves crop monitoring capability in adverse weather conditions.

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