Analysis of Drought Disaster Potential Based on Remote Sensing and Geographic Information Systems (Case Study: North Central Timor Regency)
Keywords:
Drought Potential, Remote Sensing, GIS, North Central Timor Regency
Abstract
Drought is a natural phenomenon that is a complex and difficult to predict and has the potential to be detrimental to human life, so mitigation efforts need to be made to reduce its impact. To provide information related to drought in North Central Timor District, it is necessary to make efforts to map areas that are vulnerable to drought. Mapping drought potential can be done by utilizing remote sensing data and using Geographic Information Systems (GIS). The aim of this study is to determine the distribution of drought potential in TTU Regency using remote sensing and GIS. The method used is the scoring and overlay method using ArcMap by paying attention to several parameters, such as rainfall, slope, type of soil, and land use. The results of the analysis show that the level of drought in the TTU regency is in the medium to high category, so it is necessary to mitigate drought efforts. Overlay analysis identified low drought class reaching 1,8 km2 or 0,1%, medium drought with an area of 1696,1 km2 or 65,4%, high drought class covering an area of 894,9 km2 or 35%, and very high drought class covering 0,08 km2 or 0,01% of TTU Regency area.
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References
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[2] N. Bashit, N. S. Ristianti, and D. Ulfiana, “Drought Assessment Using Remote Sensing and Geographic Information Systems (GIS) Techniques (Case Study: Klaten Regency, Indonesia),” International Journal of Geoinformatics, vol. 18, no. 5, pp. 115–127, Oct. 2022, doi: 10.52939/ijg.v18i5.2393.
[3] A. Bencana, “Atlas Bencana Indonesia 2016 | i,” 2016. Accessed: May 22, 2024. [Online]. Available: https://perpustakaan.bnpb.go.id/bulian/index.php?p=show_detail&id=1928
[4] M. Hoque, B. Pradhan, N. Ahmed, and A. Alamri, “Drought vulnerability assessment using geospatial techniques in Southern Queensland, Australia,” Sensors, vol. 21, no. 20, Oct. 2021, doi: 10.3390/s21206896.
[5] Y. C. F. Salsinha, D. Indradewa, Y. A. Purwestri, and D. Rachmawati, “Selection of drought-tolerant local rice cultivars from east nusa tenggara, Indonesia during vegetative stage,” Biodiversitas, vol. 21, no. 1, pp. 170–178, Jan. 2020, doi: 10.13057/biodiv/d210122.
[6] BPS, “Provinsi Nusa Tenggara Timur Dalam Angka 2022”, Accessed: May 22, 2024. [Online]. Available: https://ntt.bps.go.id/publication/2022/02/25/cc3b48ec498e16518636e415/provinsi-nusa-tenggara-timur-dalam-angka-2022.html
[7] R. Gusti, W. Pratama, N. Fajar Januriyadi, and R. C. Pamungkas, “Analisis Indeks Kekeringan Provinsi Nusa Tenggara Timur (NTT),” 2022. Accessed: May 22, 2024. [Online]. Available: https://library.universitaspertamina.ac.id//xmlui/handle/123456789/4479
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[9] M. I. Bendi, “Informasi Peringatan Dini Potensi Kekeringan Meteorologis Provinsi Nusa Tenggara Timur,” Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI), vol. 7, no. 1, pp. 46–91, 2024.
[10] D. S. Krisnayanti, M. S. Pasoa, and R. Cornelis, “ANALISIS KEKERINGAN METEOROLOGI DENGAN MENGGUNAKAN METODE STANDARDIZED PRECIPITATION INDEX DI KUPANG – NUSA TENGGARA TIMUR,” JURNAL SUMBER DAYA AIR, vol. 19, no. 1, pp. 1–12, May 2023, doi: 10.32679/jsda.v19i1.793.
[11] A. Kadek, D. Lestari, R. Maneno, and Y. Boimau, “Analisis Daya Dukung Lingkungan Berbasis Sistem Informasi Geografis (SIG) terhadap Jasa Ekosistem Pengaturan Pencegahan dan Perlindungan dari Bencana di Kabupaten Timor Tengah Utara,” 2023. Accessed: May 22, 2024. [Online]. Available: DOI: https://doi.org/10.59632/magnetic.v3i2.375
[12] M. Nugrahani and P. B. Santosa, “Drought Hazard Modelling of Klaten Regency Central Java Using AHP and TOPSIS Method,” in IOP Conference Series: Earth and Environmental Science, IOP Publishing Ltd, Dec. 2021. doi: 10.1088/1755-1315/936/1/012043.
[13] N. Bandyopadhyay, C. Bhuiyan, and A. K. Saha, “Drought mitigation: Critical analysis and proposal for a new drought policy with special reference to Gujarat (India),” Progress in Disaster Science, vol. 5, Jan. 2020, doi: 10.1016/j.pdisas.2019.100049.
[14] S. Lee, S. H. Park, M. J. Lee, and T. Song, “Priority Analysis of Remote Sensing and Geospatial Information Techniques to Water-Related Disaster Damage Reduction for Inter-Korean Cooperation,” Journal of Sensors, vol. 2020. Hindawi Limited, 2020. doi: 10.1155/2020/8878888.
[15] J. A. Tropika, W. Ardiansyah, W. Nuarsa, I. Bagus, and P. Bhayunagiri, “Analisis Daerah Rawan Bencana Kekeringan Berbasis Sistem Informasi Geografis di Kabupaten Bondowoso Provinsi Jawa Timur,” vol. 10, no. 4, 2021, [Online]. Available: https://ojs.unud.ac.id/index.php/JAT417
[16] R. Et Al et al., “ANALISIS KEKERINGAN PERTANIAN MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS DI KECAMATAN AMALI KABUPATEN BONE Analysis of Agricultural Drought Using Geographic Information System in Amali District, Bone Regency,” 2023. [Online]. Available: https://jurnal.fp.umi.ac.id/index.php/agrotekmas
[17] A. Fathony, L. Somantri, and N. T. Sugito, “Analisis Potensi Kekeringan Pertanian di Kabupaten Bandung,” Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian, vol. 19, no. 1, pp. 29–37, Jun. 2022, doi: 10.15294/jg.v19i1.33724.
[18] I. Aitkenhead, Y. Kuleshov, J. Bhardwaj, Z. W. Chua, C. Sun, and S. Choy, “Validating a tailored drought risk assessment methodology: drought risk assessment in local Papua New Guinea regions,” Natural Hazards and Earth System Sciences, vol. 23, no. 2, pp. 553–586, Feb. 2023, doi: 10.5194/nhess-23-553-2023.
[19] K. Pasmah1 and F. Dhiniati2, “PENILAIAN INDEKS ANCAMAN KEKERINGAN DI KECAMATAN DEMPO TENGAH KOTA PAGARALAM MENGGUNAKAN GIS,” 2022. Accessed: May 22, 2024. [Online]. Available: DOI: 10.36050/berings.v9i01.458
[20] M. Deffry, A. Ardiansyah, M. Falah Fadhilah, U. Negeri Jakarta, and J. Rawamangun Muka No, “Analisis wilayah rawan banjir dengan menggunakan metode skoring dan overlay di Kecamatan Makasar,” Jurnal Sains Geografi, vol. 1, no. 2, p. 2023, 2022, doi: 10.2210/jsg.vx1ix.xxx.
[21] A. Tingkat Rawan Kekeringan Berbasis Sistem Informasi Geografis di Kecamatan Candipuro Kabupaten Lampung Selatan, A. Amelia, M. Amin, and S. Asmara, “Jurnal Agricultural Biosystem Engineering Analysis of Drought Possibilities Based on Geographic Information Systems in Candipuro District, Lampung Selatan Regency”, [Online]. Available: https://jurnal.fp.unila.ac.id/index.php/ABE/index
[22] Febriyanti Fitriana, “PEMANFAATAN DATA PENGINDERAAN JAUH UNTUK PEMETAAN POTENSI DAERAH RAWAN KEKERINGAN DI KABUPATEN NGAWI,” vol. 01, no. Jurnal Swara Bhumi Section Articles, 2021, Accessed: May 22, 2024. [Online]. Available: https://ejournal.unesa.ac.id/index.php/swara-bhumi/article/view/39606
[23] A. Faisol, I. Indarto, E. Novita, and B. Budiyono, “Assessment of agricultural drought based on CHIRPS data and SPI method over West Papua – Indonesia,” Journal of Water and Land Development, vol. 52, pp. 44–52, 2022, doi: 10.24425/jwld.2021.139942.
[24] W. Chusnaini, P. Devi I, M. Afdilla, F. Aldy, and N. M. Iqbal, “Calamity Calamity: a Journal of Disaster Technology and Engineering Landslide disaster risk analysis in Pacet District, Mojokerto Regency, East Java,” CALAMITY, vol. 1, no. 1, pp. 18–32, 2023, doi: 10.61511/calamity.
[25] H. Saidah, W. Yasa, and H. Sulistiyono, “PENGUKURAN KINERJA DATA HUJAN CHIRPS DALAM PENILAIAN KEKERINGAN DI LOMBOK TENGAH.” [Online]. Available: http://journal.unmasmataram.ac.id/index.php/GARA
[26] A. K. D. L. K. F. Maneno Regolinda, “Pemetaan Curah Hujan Tahunan dan Keadaan Hidrogeologi di Kabupaten Timor Tengah Utara Untuk Identifikasi Potensi Kekeringan,” vol. 3, no. 2, 2023, Accessed: May 22, 2024. [Online]. Available: https://ejurnal.unisap.ac.id/magnetic/article/view /375
[27] T. Anggraini, H. Vianey, and M. Wula, “Formality Analysis of Bureaucracy Performance in Drought Management Effort in Timor Tengah Utara Regency”, doi: 10.29313/mimbar.v39i1.
[28] H. Soewandita, “ANALISIS BENCANA KEKERINGAN DI WILAYAH KABUPATEN SERANG ANALYSIS OF DROUGHT DISASTER IN REGION OF SERANG REGENCY,” 2018. Accessed: May 22, 2024. [Online]. Available: DOI: https://doi.org/10.29122/jstmb.v13i1.3037
[29] M. N. Fattah, H. Widysamratri -78 Analisis, P. Rawan, B. Kekeringan…, and H. Widyasamratri, “Analisis Potensi Rawan Bencana Kekeringan Menggunakan Sistem Informasi Geografis,” 2024. [Online]. Available: http://jurnal.unissula.ac.id/index.php/kr
Published
2024-07-29
