Mapping Flood-Prone Areas Using GIS Through as Geo-Artificial Intelligence (Geo-Ai) Approach in Bengkulu City

Authors

  • Agnes Apriana Departrment of Physic, University of Bengkulu, Bengkulu, 38122, Indonesia
  • Andre Rahmat Al Ansory Departrment of Physic, University of Bengkulu, Bengkulu, 38122, Indonesia
  • Tari Agustina Departrment of Physic, University of Bengkulu, Bengkulu, 38122, Indonesia
  • Isra Amalia Departrment of Physic, University of Bengkulu, Bengkulu, 38122, Indonesia
  • Refrizon Refrizon Departrment of Physic, University of Bengkulu, Bengkulu, 38122, Indonesia

DOI:

https://doi.org/10.32734/jotp.v6i1.16006

Keywords:

Bengkulu City,, Flooding,, Geo-Artificial Intelligence,, Geographic Information System,, Google Earth Engine,

Abstract

Bengkulu City is an area prone to flooding due to its proximity to the river estuary. Flooding in Bengkulu City usually occurs during the rainy season, when high rainfall and overflowing rivers can cause inundation in several areas around the city. This research aims to identify flood-prone areas in Bengkulu City through a Geographic Artificial Intelligence (Geo-AI) approach. Geo-AI is an artificial intelligent machine with geospatial data, including satellite images and weather data, whose data analysis is more accurate and efficient in identifying flood-prone areas. Geographic Information System (GIS) can present objects of flood-prone areas from the real world in digital form. Through Google Earth Engine (GEE), satellite imagery data and other geospatial data are processed and analyzed using artificial intelligence algorithms to identify flood patterns and frequently flooded areas. The final result of this research is a map of flood-prone areas in Bengkulu City. On the map, it can be concluded that the red-colored areas including Rawa Makmur, Tanjung Agung, Bentiring, Kebun Tebeng, Penurunan, Sukarami, Pekan Sabtu, and Air Sebakul are areas that are often flooded so that these areas can be confirmed as flood-prone.

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Published

2024-02-29