Land use/land cover (LULC), change detection, and simulation analysis of Manila Bay’s Dolomite mining site in Cebu, Philippines using Sentinel–2 satellite

Q4 Social Sciences International Journal of Geoinformatics Pub Date : 2023-06-10 DOI:10.52939/ijg.v19i5.2667
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Abstract

Dolomite mining in Barangay Pugalo – Pasol, Alcoy, Cebu, and the Manila Bay beach project along Roxas Boulevard, Metro Manila, Philippines has long been controversial due to the ecological, environmental, and economic implications. From the threat of rising sea levels to questionable management solutions, this sand project cannot be fully measured because of the absence of an environmental impact study. The primary objective of this research is to develop a geospatial study of the Cebu mining site using Sentinel–2 satellite data utilizing remote sensing techniques and Quantum GIS where 2018, 2020, 2030, and 2050 classification and simulation analysis shows an increase in Soil and a decrease in Vegetation and Built-up classes. Dolomite sand sustainability and longevity in Manila Bay's Dolomite Beach, are also assessed using related literature. With the help of this analysis, it’s possible to identify specific changes and predict which land will be impacted by upcoming years when current practices in the area do not change. It can also be utilized as resource management, environmental policy, and regulation support tools in identifying ecological problems while serving as a source of historical information for future land management and support for the long-term use of natural resources and expanding populations.
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基于Sentinel-2卫星的菲律宾宿务马尼拉湾白云石矿区土地利用/土地覆盖(LULC)、变化探测与模拟分析
由于生态、环境和经济方面的影响,菲律宾马尼拉大都会区Barangay Pugalo - Pasol、Alcoy、宿雾的白云石开采和沿着Roxas大道的马尼拉湾海滩项目长期以来一直存在争议。从海平面上升的威胁到有问题的管理解决方案,由于缺乏环境影响研究,这个沙子项目无法完全衡量。本研究的主要目标是利用遥感技术和量子地理信息系统,利用Sentinel-2卫星数据对宿务矿区进行地理空间研究,其中2018年,2020年,2030年和2050年的分类和模拟分析显示土壤增加,植被和建筑类型减少。马尼拉湾白云石海滩白云石砂的可持续性和寿命也使用相关文献进行了评估。在这种分析的帮助下,有可能确定具体的变化,并预测哪些土地将在未来几年受到影响,而该地区目前的做法没有改变。它还可以作为资源管理、环境政策和法规的支持工具,用于识别生态问题,同时作为未来土地管理的历史信息来源,并为自然资源的长期利用和人口增长提供支持。
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来源期刊
International Journal of Geoinformatics
International Journal of Geoinformatics Social Sciences-Geography, Planning and Development
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