CrossRef Open Access 2024 2 sitasi

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

Agnes Apriana Andre Rahmat Al Ansory Tari Agustina Isra Amalia Refrizon Refrizon

Abstrak

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.

Penulis (5)

A

Agnes Apriana

A

Andre Rahmat Al Ansory

T

Tari Agustina

I

Isra Amalia

R

Refrizon Refrizon

Format Sitasi

Apriana, A., Ansory, A.R.A., Agustina, T., Amalia, I., Refrizon, R. (2024). Mapping Flood-Prone Areas Using GIS Through as Geo-Artificial Intelligence (Geo-Ai) Approach in Bengkulu City. https://doi.org/10.32734/jotp.v6i1.16006

Akses Cepat

Lihat di Sumber doi.org/10.32734/jotp.v6i1.16006
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
Sumber Database
CrossRef
DOI
10.32734/jotp.v6i1.16006
Akses
Open Access ✓