Forecast of Land Cover Change as a Sustainable Flood Prevention Strategy using Cellular Automata Model in Lampoko Watershed, South Sulawesi, Indonesia

Closed

Nugroho Cahyadi, Umar Ramli, Mithen

2024 Disaster Advances Vol. 17 Issue 3 Article Cited by 2 SDG 13SDG 17 Quartile

Abstract

The Lampoko watershed is the biggest watershed in South Sulawesi's Barru Regency. Flooding is a common occurrence in this area, particularly tidal flooding. To get around this, this research uses a geographic information system to estimate land cover and reveal how an organization will grow in the future. This forecast is meant to help plan preventive measures in organizational regions where flooding is anticipated. The CA-Markov model was used to analyze satellite imagery data (Landsat 8 OLI TIRS Year 2015-2021). The findings revealed an increasing pattern of land cover change in several land cover classes that were hubs of communal activity including villages, fisheries (ponds) and agricultural (rice fields). Balusu, Lampoko and Ajakkang are areas that need to be prepared for since they are part of regions with a high likelihood of flooding in the future. © 2024, World Researchers Associations. All rights reserved.

Affiliations

Universitas Negeri Makassar, Indonesia; Department of Geography, Universitas Negeri Makassar, Indonesia; Department of Civil Educational Engineering, Universitas Negeri Makassar, Indonesia

Research at a Glance

Premium content — register to unlock

Research at a Glance

Register to unlock

Topics & SDG Alignment

Premium content — register to unlock

Topics & SDG Alignment

Register to unlock

Collaboration

Premium content — register to unlock

Collaboration

Register to unlock

Author Profile (Selected)

Premium content — register to unlock

Author Profile (Selected)

Register to unlock

References Overview

Premium content — register to unlock

References Overview

Register to unlock

Journal & Source

Premium content — register to unlock

Journal & Source

Register to unlock

Metadata & Integrity

Premium content — register to unlock

Metadata & Integrity

Register to unlock