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

机译:使用全极化SAR图像的油菜(Brassica Napus L.)的季节生物量估计

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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.
机译:准确估计作物生长季节期间作物生物物理和生化参数对于改善特异性管理和产量估计至关重要。在本研究中研究了全极化合成孔径雷达(SAR)数据在估算油菜的地上生物质的潜在能力。用地面测量识别整个生长季节期间不同散射强度和偏振特征的时间轮廓。依赖于偏振分解方法的偏振特征,提出估计油菜的生物质。验证结果显示出巨大的电位,测定系数(R-2)为0.85,均方根误差(RMSE)41.6g / m(2),以及干生物量的28.5%的相对误差(RE),以及R- 2的0.76,RMSE为527.4g / m(2)和新生生物量的28.6%。此外,将使用完全偏振SAR数据与单偏振SAR数据进行比较。结果表明,当完全偏振SAR数据可用时,在油菜的生物质估计中可以实现更简单的模型,更高的饱和点和更好的准确度,这突出了偏振中距离定量作物监测中的偏振物信息的重要性和价值。本研究提供了SAR数据的季节性季节性监测的指导,这进一步提高了恶劣天气条件的作物监测能力。

著录项

  • 来源
    《Precision Agriculture》 |2019年第3期|共19页
  • 作者单位

    Beijing Acad Agr &

    Forestry Sci Beijing Res Ctr Informat Technol Agr Beijing 100097 Peoples R China;

    Beijing Acad Agr &

    Forestry Sci Beijing Res Ctr Informat Technol Agr Beijing 100097 Peoples R China;

    Newcastle Univ Sch Civil Engn &

    Geosci Newcastle Upon Tyne NE1 7RU Tyne &

    Wear England;

    Beijing Acad Agr &

    Forestry Sci Beijing Res Ctr Informat Technol Agr Beijing 100097 Peoples R China;

    Newcastle Univ Sch Civil Engn &

    Geosci Newcastle Upon Tyne NE1 7RU Tyne &

    Wear England;

    Newcastle Univ Sch Agr Food &

    Rural Dev Newcastle Upon Tyne NE1 7RU Tyne &

    Wear England;

    Satellite Applicat Catapult Didcot OX11 0QR Oxon England;

    Satellite Applicat Catapult Didcot OX11 0QR Oxon England;

    Chinese Acad Forestry Inst Forest Resource Informat Tech Beijing 100091 Peoples R China;

    Beijing Acad Agr &

    Forestry Sci Beijing Res Ctr Informat Technol Agr Beijing 100097 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业科学;
  • 关键词

    RADARSAT-2; Biomass; Polarimetric features; Polarimetric decomposition; Rapeseed;

    机译:雷达拉-2;生物量;偏振特征;偏振分解;油菜籽;

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