Floods, along with coastal erosion, are among the most dangerous events that threaten heritage sites worldwide. Space agencies (e.g. NASA and ESA) create new platforms and applications that can help for providing the time in studying the changes occurring in the land use/land cover besides flood events such as the Google Earth Engine platform. This study aims to use the most up-to-date data, methods, and platforms in studying the changes in the land cover and its impacts on the archaeological sites of Metaponto and Policoro areas in Basilicata Region, southern Italy. In this study, the Sentinel-1 (C-band) and Landsat time-series data are used in detecting the effects of the weather and land cover changes on the heritage sites in Metaponto and Policoro regions on Ionian coastal, Italy. While, Landsat (MSS, TM, and ETM) data are downloaded from the USGS site, the Sentienl1 data are imported and analysed using the Google Earth Engine platform. As well, the Digital Shoreline Analysis System (DSAS) statically software through the End Point Rate (EPR) and the Linear Regression Rate (LRR) models are used for estimating shoreline rate of change over the long-time period. Also, the historical topographic maps returning to 1941 are used to detect the ancient land cover of the study area. As well, the ArcMap 10.5 software is used in analysing the topographic maps and Optical Landsat data. The results of this study showed that the flooding events during 2014, 2016, 2018, 2019, and the total period between 2014 and 2021 respectively covered areas by km2 based on the total space of the non-water area about 8.3, 1.7, 0.5, 0.6, and 39.17. Such results of this study can help decrease the risk around the heritage areas by detecting the most affected areas across the shoreline changes, and the previous flood events.

洪水以及海岸侵蚀是威胁全球遗产地的最危险事件之一。空间机构（例如 NASA 和 ESA）创建了新的平台和应用程序，可以帮助提供时间来研究除洪水事件之外的土地利用/土地覆盖发生的变化，例如 Google Earth Engine 平台。本研究旨在利用最新的数据、方法和平台来研究土地覆盖的变化及其对意大利南部巴西利卡塔地区 Metaponto 和 Policoro 地区考古遗址的影响。在这项研究中，Sentinel-1（C 波段）和 Landsat 时间序列数据用于检测天气和土地覆盖变化对意大利爱奥尼亚海岸 Metaponto 和 Policoro 地区遗产地的影响。同时，Landsat（MSS、TM、和 ETM) 数据从 USGS 站点下载，Sentienl1 数据使用 Google 地球引擎平台导入和分析。同样，数字海岸线分析系统 (DSAS) 通过终点率 (EPR) 和线性回归率 (LRR) 模型静态软件用于估计长期海岸线变化率。此外，还使用了 1941 年的历史地形图来检测研究区的古代土地覆盖。此外，ArcMap 10.5 软件也用于分析地形图和光学 Landsat 数据。本研究结果表明，2014 年、2016 年、2018 年、2019 年和 2014 年至 2021 年期间的洪水事件分别以非水域总空间约 8.3、1.7、0.5、 0.6 和 39.17。