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Challenges of remote sensing for quantifying changes in large complex seagrass environments

机译：遥感对量化大型复杂海草环境中的变化的挑战

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摘要

Managing seagrass environments and understanding and responding to coastal impacts such as floods or cyclones, requires assessment of seagrass distribution and its biophysical properties in time and space. Comparable assessments of seagrass distribution over time are often lacking as the information is present for separate dates, or created following different mapping approaches, and this makes it difficult to conduct quantitative comparisons. We provide an assessment of available data sets and approaches, and their suitability for monitoring and quantifying change in seagrass percentage cover and extent for a large coastal embayment (Moreton Bay, Australia, 1582 km~2). Seagrass percentage cover maps were created for 2011 and 2004 and compared to map and measure the extent of seagrass percentage cover change, and changes in the extent of seagrass environments. Total extent of seagrass was shown to be higher in 2011 compared to 2004. Potential sources of these differences may be: mapping inaccuracy; actual change in extent and cover; and, monthly to seasonal variations in seagrass cover. A qualitative comparison of the 2004 and 2011 maps was performed against maps of seagrass extent maps from 1975, 1986 and 1999, which were created using a range of different methods and data. The output maps show changes in seagrass extent, but a lack of detail arising from variable mapping methods and differing mapping extents prevented a reliable comparison. We conclude that robust mapping of seasonal and inter-annual variation in seagrass percentage cover distribution or extent, as well as impacts of episodic and stochastic disturbance events, requires a thorough understanding of the mapping approaches used so that data sets can be compared. Additional complimentary information is required to help understand the drivers of changes.
机译：要管理海草环境并理解和应对诸如洪水或飓风等沿海影响，就需要评估海草在时间和空间上的分布及其生物物理特性。通常缺乏对海草随时间分布的可比评估，因为该信息存在于不同的日期，或者是根据不同的映射方法创建的，因此很难进行定量比较。我们提供了对可用数据集和方法的评估，以及它们对于监测和量化大型沿海沿岸海草覆盖率和范围变化的适用性（澳大利亚莫顿湾，1582 km〜2）。创建了2011年和2004年的海草百分比覆盖图，并将其与地图进行比较并测量海草百分比覆盖率变化的程度以及海草环境范围的变化。与2011年相比，2011年海草的总面积显示出更高的水平。这些差异的潜在根源可能是：制图不准确；范围和覆盖范围的实际变化；而且，海草覆盖率每个月都有季节性变化。对2004年和2011年的地图与1975年，1986年和1999年的海草范围地图进行了定性比较，这些地图是使用一系列不同的方法和数据创建的。输出图显示了海草范围的变化，但是由于变量映射方法和映射范围不同而导致的细节不足，无法进行可靠的比较。我们得出的结论是，对海草百分比覆盖率分布或范围的季节性和年际变化以及事件和随机干扰事件的影响进行鲁棒的映射，需要对所使用的映射方法有透彻的了解，以便可以比较数据集。需要附加的补充信息，以帮助了解更改的驱动程序。

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  • 来源
    《Estuarine Coastal and Shelf Science》 |2013年第20期|161-171|共11页
  • 作者

    Chris Roelfsema; Eva M. Kovacs; Megan I. Saunders; Stuart Phinn; Mitchell Lyons; Paul Maxwell;

  • 作者单位

    Biophysical Remote Sensing Group, School of Geography, Planning and Environmental Management, The University of Queensland, St. Lucia, QLD 4072, Australia;

    Biophysical Remote Sensing Group, School of Geography, Planning and Environmental Management, The University of Queensland, St. Lucia, QLD 4072, Australia;

    Global Change Institute, The University of Queensland, St. Lucia, QLD, Australia;

    Biophysical Remote Sensing Group, School of Geography, Planning and Environmental Management, The University of Queensland, St. Lucia, QLD 4072, Australia;

    Biophysical Remote Sensing Group, School of Geography, Planning and Environmental Management, The University of Queensland, St. Lucia, QLD 4072, Australia;

    Australian Rivers Institute, Griffith University, Australia;

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  • 正文语种 eng
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  • 关键词

    seagrass; remote sensing; historical data; management;

    机译：海草遥感;历史数据;管理;

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