Identifikasi Nilai Erodibilitas Tanah Menggunakan Platform Google Earth Engine (GEE) di DAS Limboto Provinsi Gorontalo

Ainun Jaria Ahmadong, Sri Maryati, Rakhmat Jaya Lahay

Abstract


Limboto watershed is one of the watersheds in Gorontalo Province that is categorised as critical priority. This condition is caused by land degradation in the catchment area (DTA) due to uncontrolled land conversion in the upstream part of the river. The purpose of this research is to determine the soil erodibility value based on soil texture in Limboto watershed. The erodibility value in this study was obtained by matching the soil texture of the Limboto watershed from the USDA soil texture image with the soil erodibility table from Hamza (2017). The results showed that soil erodibility values in the Limboto watershed varied according to soil texture, with sandy clay loam having the lowest erodibility value (0.0264), clay (0.288), and clay loam the highest (0.394). Most areas of the watershed, especially those with high erodibility, require conservation measures to reduce erosion risk. This approach is expected to provide practical solutions in sustainable land management.


Keywords


Erosion; Limboto Watershed; Erodibility

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References


Apriani, N., Arsyad, U., & Mapangaja, B. (2021). Prediksi Erosi Berdasarkan Metode Universal Soil Loss Equation (Usle) Untuk Arahan Penggunaan Lahan Di Daerah Aliran Sungai Lawo. Jurnal Hutan Dan Masyarakat, 13(1), 49–63. https://doi.org/10.24259/jhm.v13i1.10979

Bouguerra, H., Bouanani, A., Khanchoul, K., Derdous, O., & Tachi, S. E. (2017). Mapping erosion prone areas in the Bouhamdane watershed (Algeria) using the Revised Universal Soil Loss Equation through GIS. Journal of Water and Land Development, 32(1), 13–23. https://doi.org/10.1515/jwld-2017-0002

Dunggio, I., & Chairil Ichsan, A. (2022). Efektifitas Pembuatan Tanaman Vegetatif Dalam Menanggulangi Erosi Dan Sedimentasi (Studi kasus di daerah aliran sungai Limboto Provinsi Gorontalo). Jurnal Belantara, 5(1), 45–58. https://doi.org/10.29303/jbl.v5i1.882

Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031

Kementerian Lingkungan Hidup & Kehutanan. (2021). Status Hutan dan Kehutanan Indonesia 2020. In kementerian Lingkungan Hidup dan kehutanan, Republik Indonesia.

Pamuji, K. E., Lestari, O. A., & Mirino, R. R. (2020). Analisis Morfometri Daerah Aliran Sungai (Das) Muari Di Kabupaten Manokwari Selatan. Jurnal Natural, 16(1), 38–48. https://doi.org/10.30862/jn.v16i1.59

Pasaribu, P. H. P., & Situmoang, R. O. P. (2022). Hubungan Faktor Kemiringan Lereng, Jenis Tanah, dan Tipe Penggunaan Lahan Terhadap Resiko Bahaya Erosi. November, 147–158.

Siswandana, S., Pratama, M. I. L., Febrianto, H., & Simponi, M. (2020). Tingkat Erodibilitas Tanah Di Daerah Aliran Sungai Bayang Sani. Jambura Geoscience Review, 2(1). https://doi.org/10.34312/jgeosrev.v2i1.2468

Suryani, S. (2017). Evaluasi Kondisi DAS Sumani Kabupaten Solok Berdasarkan Kriteria Tata Air.




DOI: https://doi.org/10.37905/jrpi.v1i1.28043

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