Coral reef applications of Landsat-8: geomorphic zonation and benthic habitat mapping of Xisha Islands, China

IF 6 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
Mingjun He, Junyu He, Yajun Zhou, Liyuan Sun, Shuangyan He, Cong Liu, Yanzhen Gu, Peiliang Li
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Abstract

Being one of the most significant and valuable coral reef systems in the South China Sea, the Xisha Islands has undergone rapid transformation due to increasing stressors from human impacts and climate change in recent years. However, as indispensable information for coral reef monitoring and management, the detailed reef extent, geomorphic zonation, or benthic composition of the Xisha Islands is not well documented. Considering limited access to the Xisha Islands, the rapid development of optical remote sensing technology provides us with a feasible mean for coral reef observation. This study adopted a water depth substitution index – probabilistic inundation (PI) – combined with depth-invariant index (DII) to achieve reef extent exploration, geomorphologic and benthic habitat types classification with unsupervised classification algorithms based on Landsat-8 time-series satellite data. Compared with two open-access datasets, the extent of each independent reef extracted from PI exhibited higher similarity with the actual boundary conditions displayed in RGB (Red-Green-Blue) composite images from Landsat-8. Based on PI and derived slope, we obtained geomorphic zonation classification results, and similarly benthic compositions were retrieved based on PI, DII, and reflectance. The overall accuracy of geomorphic zonation and benthic habitat classification results were 72% and 86%, respectively. We also interestingly discovered that corals of the Xisha Islands may be capable of an ability to resist chronic heat stress as a growth trend of reef area after two successive stress events in 2014–2015 were observed at most reefs. The proposed mapping framework of this study provides a repeatable and flexible scheme in depicting the comprehensive situation of coral reefs at Xisha Islands based only on publicly available remote sensing data without complicated pre-set parameters, which could be easily extended to coral reef research around the world. Simultaneously, the findings also provide requisite information supporting the sustainable management and conservation of coral reef ecosystems in the Xisha Islands.
Landsat-8在西沙群岛珊瑚礁地貌分区和底栖生物栖息地测绘中的应用
西沙群岛是南海最重要和最具价值的珊瑚礁系统之一,近年来,由于人类活动和气候变化的压力日益增加,西沙群岛经历了快速的转变。然而,作为珊瑚礁监测和管理不可或缺的信息,西沙群岛的详细珊瑚礁范围、地貌带或底栖生物组成没有很好的文献记录。考虑到西沙群岛通道有限,光学遥感技术的快速发展为我们进行珊瑚礁观测提供了一种可行的手段。本研究基于Landsat-8时间序列卫星数据,采用水深替代指数-概率淹没指数(PI)结合深度不变指数(DII),采用无监督分类算法实现了珊瑚礁范围勘探、地貌和底栖生物栖息地类型分类。与两个开放获取数据集相比,PI提取的每个独立珊瑚礁的范围与Landsat-8的RGB(红-绿-蓝)合成图像显示的实际边界条件具有更高的相似性。基于PI和导出的坡度,我们获得了地貌分区分类结果,并基于PI、DII和反射率检索了类似的底栖生物组成。地貌带和底栖动物生境分类结果的总体精度分别为72%和86%。我们还有趣地发现,在2014-2015年连续两次观察到大多数珊瑚礁的应激事件后,西沙群岛的珊瑚可能具有抵抗慢性热应激的能力,这是珊瑚礁面积的增长趋势。本研究提出的制图框架提供了一种可重复且灵活的方案,仅基于公开的遥感数据,无需复杂的预设参数,即可描绘西沙群岛珊瑚礁的综合情况,易于推广到世界各地的珊瑚礁研究。同时,研究结果也为西沙群岛珊瑚礁生态系统的可持续管理和保护提供了必要的信息。
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来源期刊
CiteScore
11.20
自引率
9.00%
发文量
84
审稿时长
6 months
期刊介绍: GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.
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