Long term monitoring of seagrass distribution in Moreton Bay, Australia, from 1972–2010 using Landsat MSS, TM, ETM+

M. Lyons, S. Phinn, C. Roelfsema
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引用次数: 9

Abstract

Seagrass ecosystems are well studied and seagrass is recognised as a vital contributor to overall ecosystem health and productivity. However, a significant gap in knowledge exists in terms of the large scale temporal and spatial dynamics of cover level and distribution of seagrass communities. Remotely sensed satellite imagery offers a means to map seagrass cover and distribution over large temporal and spatial scales. At present, no operational methods have been produced to map seagrass on large spatio-temporal scales (> 100km2). This study presents a combined per-pixel/object-based method to rapidly map seagrass cover and distribution from a full Landsat archive, from 1972–2010 (MSS, TM and ETM+), with no in-situ data and at accuracies as good or better than existing mapping methods. The products provide management agencies with a baseline assessment as well as the capacity to continue to map seagrass distribution and predict changes in the future.
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1972-2010年Landsat MSS、TM、ETM+对澳大利亚Moreton湾海草分布的长期监测
海草生态系统得到了很好的研究,海草被认为是整个生态系统健康和生产力的重要贡献者。然而,在海草群落覆盖水平和分布的大尺度时空动态方面,存在着很大的知识空白。遥感卫星图像提供了在大的时间和空间尺度上绘制海草覆盖和分布的手段。目前,尚未形成大时空尺度(> 100km2)海草分布图的操作方法。本研究提出了一种基于每像素/物体的组合方法,从1972-2010年的完整Landsat档案(MSS, TM和ETM+)中快速绘制海草覆盖和分布,没有原位数据,精度与现有制图方法一样好或更好。这些产品为管理机构提供了基线评估以及继续绘制海草分布图和预测未来变化的能力。
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