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Evaluation of medium to low resolution satellite imagery for regional lake water quality assessments

机译:评估中低分辨率卫星影像,以进行区域湖泊水质评估

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摘要

[1] This study evaluates currently available imagery from Landsat, MERIS, MODIS, and AWiFS sensors for their usefulness in regional-scale measurements of lake water clarity and chlorophyll for comprehensive lake management and scientific studies (e.g., modeling). Images from these systems were collected nearly concurrently and processed using methods similar to those developed previously for regional assessments of lake water clarity using Landsat imagery. We tested both atmospherically corrected and uncorrected imagery products; the uncorrected products performed as well as or better than the atmospherically corrected products in empirical relationships to estimate water clarity and chlorophyll. MODIS and MERIS systems, which have large swath widths and high temporal coverage are well suited for regional assessments of large lakes, but their low spatial resolution limits the number of lakes that can be assessed. Landsat imagery allows all lakes >4 ha (more than 12,000 in Minnesota) to be assessed, but its low spectral resolution limits assessments to water clarity. The MERIS system, with spectral and spatial resolution suitable for large (> 150 ha) lakes, was the only system with a spectral band set that measured key absorption and scattering characteristics of phytoplankton that could be used reliably for regional chlorophyll assessments. Although none of the currently available systems is ideal, the study yielded a better definition of the spectral, spatial, and temporal characteristics of the ideal system for regional-scale water quality remote sensing that may be realized in upcoming satellite systems.
机译:[1]这项研究评估了Landsat,MERIS,MODIS和AWiFS传感器当前可获得的图像,这些图像在区域范围内测量湖泊水的净度和叶绿素以进行全面的湖泊管理和科学研究(例如建模)时很有用。这些系统的图像几乎是同时采集的,并使用与以前使用Landsat影像进行湖水清晰度区域评估所开发的方法相似的方法进行处理。我们测试了经过大气校正和未经校正的图像产品;在经验关系上,未校正产品的性能与大气校正产品的性能相同或优于大气校正产品,以估计水的透明度和叶绿素。 MODIS和MERIS系统具有较大的条带宽度和较高的时间覆盖范围,非常适合大型湖泊的区域评估,但是它们的低空间分辨率限制了可以评估的湖泊数量。 Landsat影像可以评估所有大于4公顷的湖泊(明尼苏达州超过12,000个),但是其低光谱分辨率限制了对水的清晰度的评估。 MERIS系统具有适用于大型(> 150公顷)湖泊的光谱和空间分辨率,是唯一一套具有光谱带系统的系统,该系统可测量浮游植物的关键吸收和散射特征,可以可靠地用于区域叶绿素评估。尽管当前没有可用的系统是理想的,但是该研究对区域规模水质遥感的理想系统的光谱,空间和时间特征进行了更好的定义,这可能在即将到来的卫星系统中实现。

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  • 来源
    《Water resources research》 |2011年第9期|p.W09515.1-W09515.14|共14页
  • 作者单位

    Department of Forest Resources, University of Minnesota-Twin Cities, St. Paul, Minnesota, USA;

    Department of Civil Engineering, University of Minnesota-Twin Cities, Minneapolis, Minnesota, USA;

    Department of Forest Resources, University of Minnesota-Twin Cities, St. Paul, Minnesota, USA;

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