...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of remote sensing >Validation of LAI and assessment of winter wheat status using spectral data and vegetation indices from SPOT VEGETATION and simulated PROBA-V images
【24h】

Validation of LAI and assessment of winter wheat status using spectral data and vegetation indices from SPOT VEGETATION and simulated PROBA-V images

机译：利用SPOT VEGETATION的光谱数据和植被指数以及模拟的PROBA-V图像验证LAI并评估冬小麦状态

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Due to the information gap between the VEGETATION sensors and Sentinel-3 mission, the Belgian state decided to build a small satellite, Project for Onboard Autonomy-Vegetation (PROBA-V), to ensure the continuity of the data record for vegetation studies. In this study, simulated PROBA-V data generated by the Landsat Thematic Mapper (TM) were used to evaluate the potential of this mission to assess winter wheat status. The root mean square error (RMSE) of PROBA-V s leaf area index (LAI), which was generated using the exponential method and the interpolation method, is 0.33 and 0.96 for March 2011 and 1.40 and 3.33 for May 2011, respectively. Systeme Pour l'Observation de la Terre (SPOT) VEGETATION'S LAI does not show a significant relationship with the reference LAI values except for the LAI values during the stem elongation 100% phenological stage generated using the exponential method (correlation coefficient, r = 0.91; p = 0.01). For the tillering and stem elongation 100% phenological stages, linear regression models for the fraction of absorbed photosynthetically active radiation (FAPAR) with PROBA-V's normalized difference vegetation index (NDVI) were developed (coefficient of determination, R~2, of 0.94 and 0.88). Exponential models for LAI (R~2 of 0.91 and 0.93) and fresh weight of above-ground biomass (AGBf) (R~2 of 0.90 and 0.93) with PROBA-V's near-infrared (NIR) and visible and near-infrared bands (VNIR B2) were developed accordingly. The assessment of winter wheat status showed that the highest and the lowest values of PROBA-V's simulated data (SD), i.e. NDVI, normalized difference water index (NDWI), and LAI of Field 2 and Field 4, correspond to the ground-measured biometric parameters.
机译：由于VEGETATION传感器与Sentinel-3任务之间存在信息鸿沟，比利时政府决定制造一颗小型卫星，即“车载自主植被计划”（PROBA-V），以确保用于植被研究的数据记录的连续性。在这项研究中，由Landsat Thematic Mapper（TM）生成的模拟PROBA-V数据用于评估该任务评估冬小麦状况的潜力。使用指数法和插值法生成的PROBA-V叶面积指数（LAI）的均方根误差（RMSE），2011年3月分别为0.33和0.96，2011年5月分别为1.40和3.33。植被观测系统（SPOT）的LAI与参考LAI值没有显着关系，除了使用指数法生成的茎伸长100％物候阶段的LAI值外（相关系数，r = 0.91； p = 0.01）。对于分till和茎伸长100％的物候期，建立了具有PROBA-V归一化差异植被指数（NDVI）的吸收光合有效辐射（FAPAR）比例的线性回归模型（测定系数R〜2为0.94， 0.88）。具有PROBA-V的近红外（NIR）以及可见和近红外波段的LAI（R〜2分别为0.91和0.93）和地上生物量的新鲜重量（AGBf）（R〜2分别为0.90和0.93）的指数模型（VNIR B2）也据此开发。对冬小麦状态的评估表明，PROBA-V的模拟数据（SD）的最高和最低值，即NDVI，归一化差水指数（NDWI）和田2和田4的LAI，对应于地面实测生物特征参数。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第8期|2888-2904|共17页
  • 作者

    Eugenia Roumenina; Valentin Kazandjiev; Petar Dimitrov; Lachezar Filchev; Vassil Vassilev; Georgi Jelev; Veska Georgieva; Hristo Lukarski;

  • 作者单位

    Department of Remote Sensing and GIS, Space Research and Technology Institute - Bulgarian Academy of Sciences (SRTI-BAS), Sofia, Bulgaria;

    Department of Meteorology, National Institute of Meteorology and Hydrology - Bulgarian Academy of Sciences (NIMH-BAS), Sofia, Bulgaria;

    Department of Remote Sensing and GIS, Space Research and Technology Institute - Bulgarian Academy of Sciences (SRTI-BAS), Sofia, Bulgaria;

    Department of Remote Sensing and GIS, Space Research and Technology Institute - Bulgarian Academy of Sciences (SRTI-BAS), Sofia, Bulgaria;

    Department of Remote Sensing and GIS, Space Research and Technology Institute - Bulgarian Academy of Sciences (SRTI-BAS), Sofia, Bulgaria;

    Department of Remote Sensing and GIS, Space Research and Technology Institute - Bulgarian Academy of Sciences (SRTI-BAS), Sofia, Bulgaria;

    Department of Meteorology, National Institute of Meteorology and Hydrology - Bulgarian Academy of Sciences (NIMH-BAS), Sofia, Bulgaria;

    Department of Aerospace Control Systems, Space Research and Technology Institute - Bulgarian Academy of Sciences (SRTI-BAS), Sofia, Bulgaria;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号