Centre for Aquatic Environments, University of Brighton, Brighton, United Kingdom.
Department of Landscape Management, Estonian University of Life Sciences, Tartu, Estonia.
PLoS One. 2022 Aug 24;17(8):e0272977. doi: 10.1371/journal.pone.0272977. eCollection 2022.
In Thailand, 17% of the population lives by the coast, approximately 11 million people. A combination of coastal erosion, sea level rise and coastal land subsidence are critical issues threatening the livelihoods of coastal communities. Thailand has invested a lot of money and installed conservation policies to restore and protect coastal mangroves and realign or replenish their beaches. This study assessed the use of the toolkit Coastsat to digitise a time series of shoreline positions from open access satellite images between 1990 and 2019 along 560 km of coastline in the provinces of Krabi and Nakhon Si Thammarat (NST). Based on these digitised shorelines and the use of the software Digital Shoreline Analysis System (DSAS), it was possible to identify shoreline change, which varied between -66 to +16.4 m/y in the mangroves of NST and -22.2 to +10.6 m/year on its sandy beaches. Shoreline change rates along the Krabi coast varied -34.5 to +21.7 m/year in the mangroves and -4.1 to +4 m/year on sandy beaches. Analysis of the spatial and temporal variations of the shoreline position during the survey period reveals a linkage between extreme weather conditions and coastal erosion along the NST coast while that linkage is less clear along the Krabi coast. CoastSat delivers crucial and accurate time series shoreline data over extensive areas that are vital to coastal managers and researchers in a completely remote manner, which is key with the presence of COVID-19 travel bans.
在泰国,17%的人口居住在沿海地区,大约有 1100 万人。沿海侵蚀、海平面上升和沿海土地沉降等问题的结合,是威胁沿海社区生计的关键问题。泰国投入了大量资金,并制定了保护政策,以恢复和保护沿海红树林,并重新调整或补充其海滩。本研究评估了使用 Coastsat 工具包对 560 公里长的甲米和那空是贪玛叻府(Nakhon Si Thammarat,简称 NST)沿海地区的海岸线位置进行数字化,这些位置的数据来自 1990 年至 2019 年期间的开放获取卫星图像。基于这些数字化的海岸线和数字海岸线分析系统(Digital Shoreline Analysis System,简称 DSAS)的使用,可以识别出海岸线的变化,在 NST 的红树林中,其变化范围在-66 至+16.4 米/年之间,在其沙滩上则为-22.2 至+10.6 米/年。甲米海岸的海岸线变化率在红树林中为-34.5 至+21.7 米/年,在沙滩上为-4.1 至+4 米/年。在调查期间对海岸线位置的时空变化进行分析后发现,NST 沿海地区的极端天气条件与海岸侵蚀之间存在联系,而在甲米沿海地区,这种联系则不太明显。CoastSat 以完全远程的方式提供了关键且准确的大范围海岸线时间序列数据,这对于沿海管理者和研究人员至关重要,因为这在 COVID-19 旅行禁令期间是关键。