利用Aster高分辨率卫星图像估测灌溉小麦叶绿素(摘选)
Estimation of Chlorophyll in Irrigated Wheat by Aster High Resolution Satellite Imagery(Extracts)
-
摘要: 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。Abstract: Identifying crop properties non-destructively can provide a rapid and accurate understanding of its response to various environmental influences.Crop chlorophyll content is an important indicator of crop health and therefore estimation of crop yield.In recent years,remote sensing has been accepted as a robust tool for site-specific management by detecting crop parameters at both local and large scales.The reported research assessed the potential of high resolution satellite imagery to predict wheat properties at a regional scale.Vegetation indices including NDVI,RVI,GNDVIbr and other band ratios,were derived from ASTER imagery and related to crop chlorophyll concentration.The results demonstrated the effectiveness of using ASTER high resolution satellite images to map spatial variation of wheat chlorophyll content through the derived vegetation indices.NDVI and redgreen band ratio were revealed to be sensitive indices for assessing wheat chlorophyll content (R=0.73 and 0.72 respectively).The results suggested that use of high spatial resolution satellite imagery for the retrieval of crop chlorophyll levels provides an effective assessment of crop status at a regional scale.
-
Keywords:
- Wheat /
- Chlorophyll /
- Satellite /
- Images /
- Mapping
点击查看大图
计量
- 文章访问数: 461
- HTML全文浏览量: 4
- PDF下载量: 236
- 被引次数: 0