Utilization of Google Earth Engine for Flood Vulnerability Mapping in Citarum Watershed

Ardhillah Eka Nur Faj'ri, Bintang Fajar Ar-Rahman, Naufal Marcellino Hidayaturrafi’, Syadza Husnun Hanifah, Zahra Adila, Diki Akhyar Amantulloh, Wirastuti Widyatmanti

Abstract


Flooding is one of the dominant natural hazards in Indonesia. The Citarum watershed is one of the largest watersheds on the island of Java with significant flood hazard potential. This is caused by land use change and massive human activities. Therefore, it is necessary to map the flood vulnerability to identify the areas with the highest flood vulnerability. This can be the first step to mitigate flood hazard in the areas around the Citarum watershed. The mapping of flood vulnerability levels in the Citarum watershed is done by using a cloud computing platform, Google Earth Engine (GEE). By using Google Earth Engine, the process of data processing and visualization becomes more effective. This mapping was done using the weighted overlay method with the parameters of slope, elevation, distance from permanent water, NDVI, and rainfall. The results of mapping the level of flood vulnerability classified in five categories, namely very low, low, medium, high, and very high. The results show that 1009.791 km² area in the downstream of the Citarum watershed and around the reservoir classified as very high flood vulnerability area.

Full Text:

PDF

References


Adininggar, F. W., Suprayogi, A., & Wijaya, A. P. (2016). PEMBUATAN PETA POTENSI LAHAN BERDASARKAN KONDISI FISIK LAHAN MENGGUNAKAN METODE WEIGHTED OVERLAY. Jurnal Geodesi Undip, 5(2), Article 2. https://doi.org/10.14710/jgundip.2016.11530

Aeni, P., & Anwar, M. K. (2024). Hydrometeorological Disaster: Challenges and Mitigation in Indonesia. Jurnal Indonesia Sosial Teknologi, 5(01), 318–330. https://doi.org/10.59141/jist.v5i01.888

Agustina, I. H. (2021). Study of Flood-Prone Areas in Bekasi Regency. Jurnal Gea, 21(2), 180-187. https://doi.org/10.17509/gea.v21i2.39655.g16663

Badan Nasional Penanggulangan Bencana. (2024). Data Bencana Indonesia 2023, 3. Pusat Data Informasi dan Komunikasi Kebencanaan.

Cui, J., Guo, Y., Xu, Q., Li, D., Chen, W., Shi, L., Ji, G., & Li, L. (2023). Extraction of Information on the Flooding Extent of Agricultural Land in Henan Province Based on Multi-Source Remote Sensing Images and Google Earth Engine. Agronomy, 13(2), 355. https://doi.org/10.3390/agronomy13020355

Darmawan, K., Hani’ah, H., & Suprayogi, A. (2017). ANALISIS TINGKAT KERAWANAN BANJIR DI KABUPATEN SAMPANG MENGGUNAKAN METODE OVERLAY DENGAN SCORING BERBASIS SISTEM INFORMASI GEOGRAFIS. Jurnal Geodesi Undip, 6(1), Article 1. https://doi.org/10.14710/jgundip.2017.15024

Fawzi, N. I. (2016). Penginderaan Jauh untuk Lingkungan dan Konservasi. Penerbit Ombak.

Foster, I., Zhao, Y., Raicu, I., & Lu, S. (2008). Cloud Computing and Grid Computing 360-Degree Compared. 2008 Grid Computing Environments Workshop, 1–10. https://doi.org/10.1109/GCE.2008.4738445

Hidayah, E., Widiarti, W. Y., & Ammarulsyah, A. R. (2022). Zonasi Tingkat Kerawanan Banjir Bandang dengan Sistem Informasi Geografis di Sub-DAS Kaliputih Kabupaten Jember. Jurnal Teknik Pengairan: Journal of Water Resources Engineering, 13(2), Article 2. https://doi.org/10.21776/ub.pengairan.2022.013.02.12

Kartika, R. (2022). PEMETAAN TINGKAT KERAWANAN BANJIR DI DAERAH ALIRAN SUNGAI CITARUM BAGIAN HILIR [Undergraduate Thesis, Universitas Gadjah Mada]. https://etd.repository.ugm.ac.id/penelitian/detail/217730

Mahesti, T., Umar, E., Ariadi, A., Prasetyo, S. Y. J., & Fibriani, C. (2020). Identifikasi Perubahan Tutupan Vegetasi dan Curah Hujan Kabupaten Semarang Menggunakan Citra Saltelit Lansat 8. Indonesian Journal of Computing and Modeling, 3(1), Article 1.

Mahmoody Vanolya, N., & Jelokhani-Niaraki, M. (2021). The use of subjective–objective weights in GIS-based multi-criteria decision analysis for flood hazard assessment: A case study in Mazandaran, Iran. GeoJournal, 86(1), 379–398. https://doi.org/10.1007/s10708-019-10075-5

Manalu, A. (2013). KAJIAN SEDIMENTASI WADUK SAGULING, PROPINSI JAWA BARAT [Thesis, Universitas Gadjah Mada]. https://etd.repository.ugm.ac.id/home/detail_pencarian/58738

Oktaviani, A. D., Sahdarani, D. N., Prayoga, J. J., Indraswari, A. O., & Haris, A. (2021). Flood deposits characterization in Citarum Riverbank Area in Bandung Regency, West Java, Indonesia. IOP Conference Series: Earth and Environmental Science, 846(1), 012006. https://doi.org/10.1088/1755-1315/846/1/012006

Paryono, Sukoraharjo, S. S., Damar, A., Susilo, S. B., Dahuri, R., & Suseno, H. (2016). ANALYSIS DINAMIKA SPASIAL DAN TEMPORAL PENGGUNAAN LAHAN DAN IMPLIKASINYA TERHADAP SEDIMENTASI DI WILAYAH PESISIR DAS CITARUM. Jurnal Kelautan Nasional, 11(3), Article 3. https://doi.org/10.15578/jkn.v11i3.6118

Phongsapan, K., Chishtie, F., Poortinga, A., Bhandari, B., Meechaiya, C., Kunlamai, T., Aung, K. S., Saah, D., Anderson, E., Markert, K., Markert, A., & Towashiraporn, P. (2019). Operational Flood Risk Index Mapping for Disaster Risk Reduction Using Earth Observations and Cloud Computing Technologies: A Case Study on Myanmar. Frontiers in Environmental Science, 7. https://doi.org/10.3389/fenvs.2019.00191

Prawirakusuma, A., Darsono, S. L. W., Kuntoro, A. A., & Hatmoko, W. (2023). FLOOD CHARACTERISTICS IN THE LOWER CITARUM RIVER, INDONESIA AND THEIR POSSIBLE MANAGEMENT PRACTICES. GEOMATE Journal, 25(111), Article 111.

Primayuda, A. (2006). Pemetaan Daerah Rawan dan Resiko Banjir Menggunakan Sistem Informasi Geografis (Studi Kasus Kabupaten Trenggalek, Propinsi Jawa Timur) [Undergraduate Thesis, Institut Pertanian Bogor]. http://repository.ipb.ac.id/handle/123456789/50538

Rakuasa, H., & Latue, P. C. (2023). ANALISIS SPASIAL DAERAH RAWAN BANJIR DI DAS WAE HERU, KOTA AMBON. Jurnal Tanah Dan Sumberdaya Lahan, 10(1), Article 1. https://doi.org/10.21776/ub.jtsl.2023.010.1.8

Ridwana, R., Sugandi, D., Ismail, A., Jupri, & Ardy, A.M. (2022) Distribution of Infiltration Wells for Surface Runoff Control in Bandung District. Jurnal Gea, 22(2), 125-134. https://doi.org/10.17509/gea.v22i2.50315.g20480

Sakti, A. D., Rahadianto, M. A. E., Pradhan, B., Muhammad, H. N., Andani, I. G. A., Sarli, P. W., ... & Wikantika, K. (2021). School location analysis by integrating the accessibility, natural and biological hazards to support equal access to education. ISPRS International Journal of Geo-Information, 11(1), 12.

Siregar, R. I., & Indrawan, I. (2017). Studi Komparasi Pemodelan 1-D (Satu Dimensi) Dan 2-D (Dua Dimensi) Dalam Memodelkan Banjir Das Citarum Hulu. Educational Building, 3(2), 31–37.

Sy, H. M., Luu, C., Bui, Q. D., Ha, H., & Nguyen, D. Q. (2023). Urban flood risk assessment using Sentinel-1 on the google earth engine: A case study in Thai Nguyen city, Vietnam. Remote Sensing Applications: Society and Environment, 31, 100987. https://doi.org/10.1016/j.rsase.2023.100987

Syafitri, D. R., Arysandi, S. A., Purboyo, A. A., Fitri, A., Febriani, ., Tjahyanityasa, W. F., Sari, N. P., Mar’ath, S. K., Safinatunnajah, Satyaningrum, A. C., Rajardjo, N., Sudrajat, Mardiatno, D., & Rachmawati, R. (2024). Flood Assessment Through Integrated-Mixed-Method in The Western Downstream Area of Citanduy River Basin, Pangandaran Regency. Jurnal Geografi Gea, 24(1), 25–48. https://doi.org/10.17509/gea.v24i1.60691.g27098

Yusuf, S. M., Murtilaksono, K., Hidayat, Y., & Suharnoto, Y. (2018). Analisis dan Prediksi Perubahan Tutupan Lahan di DAS Citarum Hulu. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan (Journal of Natural Resources and Environmental Management), 8(3), Article 3.




DOI: https://doi.org/10.17509/gea.v24i2.71285

DOI (PDF): https://doi.org/10.17509/gea.v24i2.71285.g29157

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Jurnal Geografi Gea

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.