Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Multi-Sensor Satellite to Assess Sea Level Rise and Land Subsidence Impact on the Flood Crisis on the East Coast of North Sumatra and Medan City, Indonesia

Version 1 : Received: 31 October 2023 / Approved: 1 November 2023 / Online: 2 November 2023 (00:20:40 CET)

A peer-reviewed article of this Preprint also exists.

Lumban-Gaol, J.; Sumantyo, J.T.S.; Tambunan, E.; Situmorang, D.; Antara, I.M.O.G.; Sinurat, M.E.; Suhita, N.P.A.R.; Osawa, T.; Arhatin, R.E. Sea Level Rise, Land Subsidence, and Flood Disaster Vulnerability Assessment: A Case Study in Medan City, Indonesia. Remote Sens. 2024, 16, 865. Lumban-Gaol, J.; Sumantyo, J.T.S.; Tambunan, E.; Situmorang, D.; Antara, I.M.O.G.; Sinurat, M.E.; Suhita, N.P.A.R.; Osawa, T.; Arhatin, R.E. Sea Level Rise, Land Subsidence, and Flood Disaster Vulnerability Assessment: A Case Study in Medan City, Indonesia. Remote Sens. 2024, 16, 865.

Abstract

Flood disasters have become an annual occurrence along the East Coast of North Sumatra (ECNS) and Medan City. Numerous studies have examined the causal factors flood disasters in this area, such as changes in land use, drainage issues, and population growth, but the intensity of flood disasters continues to rise. In this research, we focused on evaluating the unexplored factors of land subsidence and rising sea levels in this region. Our investigation uses multi-sensor satellite data and field surveys to conduct an assessment of the rate of land subsidence and sea level rise and assess their implications on flood disasters. This study highlights the potential of multi-sensor satellite data as a primary resource for assessing flood disasters in coastal areas and densely populated large cities. Furthermore, we propose a solution to reduce the negative impact of flood disasters by by engaging local communities and environmental enthusiasts in mangrove reforestation along the coastline.

Keywords

disaster; flood; satellite sensor; sea level rise; land subsidence

Subject

Environmental and Earth Sciences, Remote Sensing

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