Pemetaan Laju Erosi Menggunakan Metode RUSLE dan Google Earth Engine Pada DAS Serayu
DOI:
https://doi.org/10.35870/jtik.v8i3.1938Keywords:
Serayu Watershed, Google Earth Engine, RUSLE MethodAbstract
The Serayu Watershed, which includes Wonosobo, Banjarnegara, Purbalingga, Banyumas, to Cilacap in Central Java, faces erosion challenges due to the rugged topography. This research presents a new approach in mapping erosion rates in the Serayu watershed by combining the Revised Universal Soil Loss Equation (RUSLE) method and Google Earth Engine (GEE) technology. Utilizing satellite imagery from GEE, including annual rainfall data, soil texture, slope, vegetation index, and land conservation from the period 2021-2022, this study revealed an interesting finding: the Serayu watershed experienced heavy erosion, exceeding 40 tons/ha/year, especially in Purbalingga, Banjarnegara, and Wonosobo. The main innovation of this research lies in its approach which provides a new perspective in erosion analysis in the Serayu watershed. The results provide deep insights for natural resource management, environmental protection, sustainable land use planning, and environmental change monitoring. The integration of GEE not only accelerates analysis, but also brings an innovative dimension that differentiates this research from previous research in similar areas.
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Wahyudien, M. E., Vianita, L., Subagyo, D. O., & Nurjanah, N. (2018). Analisis Dampak Penggunaan Lahan Terhadap Tingkat Erosi Di Daerah Aliran Sungai Bodri. Prosiding Seminar Nasional Geografi UMS IX 2018.
Lesmana, D. M. M., Cahyadi, T. A., SB, W. S. W., Nursanto, E., & Winarno, E. (2020, July). Perbandingan hasil prediksi laju erosi dengan metode usle, musle, rusle berdasar literatur review. In Prosiding Seminar Teknologi Kebumian dan Kelautan (SEMITAN) (Vol. 2, No. 1, pp. 307-312). DOI: https://doi.org/10.31284/j.semitan.2020.994.
Purnomo, S. N. (2017). Pengaruh metode pemilihan data hujan pada perancangan debit banjir di DAS Serayu. Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto), 18(1), 50-58. DOI: 10.30595/techno.v18i1.1452.
Jariyah, N. A., & Pramono, I. B. (2013). Kerentanan sosial ekonomi dan biofisik di DAS Serayu: Collaborative management. Jurnal Penelitian Sosial dan Ekonomi Kehutanan, 10(3), 141-156. DOI: https://doi.org/10.20886/jpsek.2013.10.3.141-156.
Andriyani, I., Wahyuningsih, S., & Arumsari, R. S. (2020). Penentuan tingkat bahaya erosi di wilayah das bedadung Kabupaten Jember. Jurnal Ilmiah Rekayasa Pertanian Dan Biosistem, 8(1), 1-11. DOI: 10.29303/jrpb.v8i1.122.
Fikri, A. S., Setiawan, F., Violando, W. A., Muttaqin, A. D., & Rahmawan, F. (2021). Analisis Perubahan Penutupan Lahan Menggunakan Google Earth Engine dengan Algoritma Cart (Studi Kasus: Wilayah Pesisir Kabupaten Lamongan, Provinsi Jawa Timur). In Prosiding Forum Ilmiah Tahunan (FIT)-Ikatan Surveyor Indonesia (ISI) (Vol. 1, pp. 89-99). Departemen Teknik Geodesi, Fakultas Teknik, Universitas Diponegoro.
Wachid, N., & Tyas, W. P. (2022). Analisis transformasi ndvi dan kaitannya dengan lst menggunakan platform berbasis cloud: Google Earth Engine. Jurnal Planologi, 19(1), 60-74. DOI: 10.30659/jpsa.v19i1.20199.
Rijal, S. S. (2020). Mengolah citra pengindraan jauh dengan google earth engine. Deepublish.
Philia, C. L. (2023). Analisis Perubahan Suhu Permukaan Daratan di Kecamatan Ternate Tengah Menggunakan Google Earth Engine Berbasis Cloud Computing. E-JOINT (Electronica and Electrical Journal Of Innovation Technology), 4(1), 16-20. DOI: https://doi.org/10.35970/e-joint.v4i1.1901.
Hamid, E. S., & Susilo, Y. (2011). Strategi pengembangan usaha mikro kecil dan menengah di Provinsi Daerah Istimewa Yogyakarta.
Kafidani, F. S., Suhartanto, E., & Wahyuni, S. (2024). Rasionaliasi Jaringan Pos Hidrologi Menggunakan Data Pos Hujan, Data Satelit CHIRPS, dan Data Pos Duga Air dengan Metode Stepwise di DAS Rejoso. Jurnal Teknologi dan Rekayasa Sumber Daya Air, 4(1), 471-481. DOI: https://doi.org/10.21776/ub.jtresda.2024.004.01.040.
Paredes Trejo, F. J., Alves Barbosa, H., Peñaloza-Murillo, M. A., Moreno, M. A., & Farias, A. (2016). Intercomparison of improved satellite rainfall estimation with CHIRPS gridded product and rain gauge data over Venezuela. Atmósfera, 29(4), 323-342.
Purnama, S. (2010). Potensi sumberdaya air DAS Serayu. Jurnal Rekayasa Lingkungan, 6(3).
Yasin, A. M., Sukiyah, E., Sulaksana, N., & Isnaniawardhani, V. (2016). Fenomena morfotektonik pada citra STRM di wilayah Teluk Kendari. Bulletin of Scientific Contribution, 14(2), 163-170.
Suni, M. A., Borman, A. K., Umar, M. F. H., & Kurniawan, A. D. (2023). Pemetaan Penggunaan Lahan Di Kota Palu Menggunakan Citra Sentinel 2-A. Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS, 1(4), 384-391. DOI: https://doi.org/10.59407/jpki2.v1i4.69.
Adam, S. S. (2020). Evaluasi area kebakaran lahan dan hutan berbasis hotspot citra MODIS. ScientiCO: Computer Science and Informatics Journal, 3(1), 19-34.
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