Identifikasi Genangan Banjir di Wilayah DKI Jakarta Menggunakan Citra Satelit Sentinel-1
Ana Mardhiyana Alawiyah(1), Harintaka Harintaka(2*)
(1) Alumni Sarjana Teknik Geodesi, FT-UGM
(2) Departemen Teknik Geodesi, FT-UGM
(*) Corresponding Author
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Badan Nasional Penanggulangan Bencana (BNPB). (2020). Infografis Banjir Jakarta, Banten Dan Jabar 10 Januari 2020. https://bnpb.go.id/infografis/infografis-banjir-jakarta-januari-2020
Bappeda DKI Jakarta. (2013). Rencana Pembangunan Jangka Menengah Daerah Provinsi Jakarta Tahun 2013-2017. 1–165.
Chi, M., Plaza, A., Benediktsson, J. A., Sun, Z., Shen, J., & Zhu, Y. (2016). Big Data for Remote Sensing: Challenges and Opportunities. Proceedings of the IEEE, 104(11), 2207–2219. https://doi.org/10.1109/JPROC.2016.2598228
European Space Agency (ESA). (2021). Product Types and Processing Level-1.
Fajrin, Adha, M. Y., & Armi, I. (2020). Pemanfaatan Citra Sentinel-1 SAR Untuk Deteksi Banjir Studi Kasus Pangkalan Koto Baru Sumatera Barat. October 2019. https://doi.org/10.21063/SPI4.2019.u
Flores-Anderson, A. I., Herndon, K. E., Thapa, R. B., & Cherrington, E. (2019). Sampling Designs for SAR-Assisted Forest Biomass Surveys. THE SAR HANDBOOK Comprehensive Methodologies for Forest Monitoring and Biomass Estimation, 1–307. https://doi.org/10.25966/nr2c-s697
Kushardono, D., & Arief, R. (2020). Pemanfaatan Data Satelit Radar untuk Wilayah Darat di Indonesia: Peluang dan Tantangan (pp. 1–232). LIPI Press.
Octarina, T. M., Putra, I. D. N. N., & Wirdiani, N. K. A. (2019). Penginderaan Jauh Pemrosesan Data Satelit Landsat 8 Untuk Deteksi Genangan. Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi), 7(1), 77. https://doi.org/10.24843/jim.2019.v07.i01.p09
Pradana, I. H., Irawan, L. Y., Setiawan, D., & ... (2020). Analisis Daerah Tergenang Banjir Di Desa Sitiarjo, Kabupaten Malang Menggunakan Data SAR (Synthetic Aperture Radar) Sentinel-1. Jurnal Georafflesia …, 3, 58–67. https://journals.unihaz.ac.id/index.php/georafflesia/article/view/1347
Tassew, G. T. (2017). Flood Detection and Mapping Using Microwave Remote Sensing; A Case Study on Lake Koka Cachment, Awash River Basin, Ethiopia [Thesis, Addis Ababa University]. AAU Institutional Repository. http://213.55.95.56/handle/123456789/6610
Trinugroho, M. W., & Mawardi. (2018). Pemantauan Area Genangan Air Pada Rawa Lebak Menggunakan Teknologi Penginderaan Jauh. Jurnal Ilmiah Geomatika, 23(2), 49. https://doi.org/10.24895/jig.2017.23-2.716
United Nations Office for Outer Space Affairs (UNOOSA). (2020). Step-by-Step: Recommended Practice: Flood Mapping and Damage Assessment using Sentinel-1 SAR data in Google Earth Engine. https://un-spider.org/advisory-support/recommen ded-practices/recommended-practice-google-earth-engine-flood-mapping/step-by-step
Vanama, V. S. K., Rao, Y. S., & Bhatt, C. M. (2021). Change detection based flood mapping using multi-temporal Earth Observation satellite images: 2018 flood event of Kerala, India. European Journal of Remote Sensing, 54(1), 42–58. https://doi.org/10.1080/22797254.2020.1867901DOI: https://doi.org/10.22146/jgise.68353
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