Representative lake water extent mapping at continental scales using multi-temporal Landsat-8 imagery
Representative lake water extent mapping at continental scales using multi-temporal Landsat-8 imagery
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DOI：
10.1016/j.rse.2015.12.041
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发表时间：
2016-11
影响因子：
13.5
通讯作者：
Y. Sheng;Chunqiao Song;Jida Wang;E. A. Lyons;B. Knox;Joshua S. Cox;F. Gao
中科院分区：
文献类型：
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作者：
Y. Sheng;Chunqiao Song;Jida Wang;E. A. Lyons;B. Knox;Joshua S. Cox;F. Gao
内陆湖泊是重要的水资源，在全球水循环中起着至关重要的作用，对气候变化和人类活动非常敏感。显然，迫切需要了解全球和大陆范围内湖泊的时空变化。Landsat 8最近的运行将前所未有的Landsat记录延长到40多年，从而能够以高分辨率进行长期、大规模的湖泊动态绘图。使用我们的大约2000湖泊产品来自陆地卫星7图像作为参考，这项研究产生了大约2015年的代表性湖泊范围和分布图，并解决了季节性和年际湖泊面积的变化，使用陆地卫星8图像在湖泊稳定的季节在大陆尺度上获得。这里选择大洋洲作为案例研究，因为它包含一个大的盐湖群，这些盐湖显示出很高的面积变化性，并且在大地卫星8号头2.5年的运行期间具有最密集的图像覆盖范围。因此，本文描述了一种自适应算法，自动化湖泊映射的各种表面条件下，在湖泊稳定的季节和合成方案在矢量域中获得的图像，以产生一个代表性的大陆镶嵌的湖泊范围从多个时间映射。我们的研究结果表明，这些策略和方法产生了一个高度可靠的和代表性的复合材料的高度可变的湖泊范围在大洋洲，并可能适用于其他大型湖泊测绘项目使用多时相数据。
Inland lakes, important water resources, play a crucial role in the global water cycle and are sensitive to climate change and human activities. There clearly is a pressing need to understand temporal and spatial variations of lakes at global and continental scales. The recent operation of Landsat 8 extends the unprecedented Landsat record to over 40 years, allowing long-term, large-scale lake dynamics mapping at high resolutions. Using our circa-2000 lake product derived from Landsat 7 images as a reference, this research produces a circa-2015 map of representative lake extents and distributions, and addresses seasonal and inter-annual lake area variability using Landsat 8 images acquired in lake stable seasons at a continental scale. Oceania is chosen here as a case study as it contains a large group of salt lakes that exhibit high area variability and has the most intensive image coverage during the first 2.5-year operation of Landsat 8. Accordingly, this paper describes an adaptive algorithm to automate lake mapping for various surface conditions using images acquired during lake stable seasons and a compositing scheme in the vector domain to generate a representative continental mosaic of lake extents from multi-temporal mapping. Our results demonstrate that these strategies and methods produce a highly reliable and representative composite of highly-variable lake extents across Oceania, and are potentially applicable to other large-scale lake mapping projects using multi-temporal data.