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无损识别作物属性为了解作物对各种环境影响的反应提供一种快速、准确的方法。作物叶绿素含量是判断作物健康情况和估测作物产量的重要指标。近年来,在局地和大尺度下通过遥感技术测定作物参数已作为地域特性管理的有力工具。在区域尺度上,评估了通过高分辨率卫星图像预测小麦属性的潜力。植被指数NDVI、RVI、GNDVIbr和其他波段比值都来自于Aster影响和相关作物叶绿素含量。通过导出植被指数,证明了利用Aster高分辨率卫星影像映射作物叶绿素含量空间变化的有效性。NDVI和红/绿波段比被作为评价小麦叶绿素含量的敏感性指标(R=0.73和R=0.72)。结果表明,在区域范围内利用高空间分辨率卫星影像取得作物叶绿素水平对评估作物状况是一种行之有效的方法。
Non-destructive identification of crop properties provides a quick and accurate way to understand the response of crops to various environmental influences. Crop chlorophyll content is an important indicator to judge crop health and estimate crop yield. In recent years, the determination of crop parameters using remote sensing techniques at local and large scales has been a powerful tool for the management of geographical characteristics. At the regional scale, the potential for predicting wheat attributes through high-resolution satellite imagery was assessed. Vegetation indices NDVI, RVI, GNDVIr and other band ratios are derived from the Aster effect and chlorophyll content of the crop. By deriving the vegetation index, the validity of mapping spatial changes of crop chlorophyll content using Aster high-resolution satellite imagery is proved. The NDVI and red / green band ratios were used as sensitivity indices for evaluating the chlorophyll content of wheat (R = 0.73 and R = 0.72). The results show that the use of high spatial resolution satellite imagery to obtain crop chlorophyll levels in the area is an effective method to assess crop status.