Erosion Value Using the RUSLE Method from Utilization of Sentinel-2 Image in The Pasee Peusangan of Regional River Area
AuthorsFirman Hadi , Tito Eka Syafjanuar , Nasrul Arrahman , Ichwana Ramli
Issue:Vol. 11 No. 2 (2023): Jurnal Ilmiah Rekayasa Pertanian dan Biosistem
Keywords:erosion, RUSLE, River area, sentinel-2 image,
How to Cite
Erosion of watercourses is a natural process related to the environment which has an adverse impact on the environment, through the organic, physical and chemical properties of the soil. This causes a decrease in soil productivity, pollutes rivers and fills water reservoirs. Erosion estimates were calculated using the Revised Universal Soil Loss Equation (RUSLE) with GIS to achieve the research objective. Calculations with the RUSLE method are carried out with the assumption that soil erosion occurs by 5 main factors, namely rain erosion (R), soil physical properties (K), land use status (C), erosion control area (P) and topography (LS). The RUSLE equation can also be used to calculate sediment. This study uses remote sensing imagery from Sentinel-2 MSI. In this research, to improve the geolocation accuracy of geometric correction and atmospheric correction using the Sentinel Application Platform, namely SNAP (Sentinel Application Platform). The results showed that most of the Pasee-Peusangan area was indicated as an area with low erosion, most of this area was in the north. While for the location to the south, there are different values indicating erosion, where the value is getting higher. Area Indications of moderate and high erosion in the Pasee-Peusangan is to the south, where this area has a mountainous topography with alluvial soil types, so the potential for erosion in this area is high. The highest erosion areas are scattered which are dominated in the several areas of the Peusangan highlands. Meanwhile for the Pasee, the highest erosion occurred in the transition and downstream (coastal) areas. Land management needs to be considered to be able to determine the causes of these differences.
Achmad, A., Ramli, I., & Irwansyah, M. (2020). The impacts of land use and cover changes on ecosystem services value in urban highland areas. IOP Conference Series: Earth and Environmental Science, 447(1). https://doi.org/10.1088/1755-1315/447/1/012047 DOI: https://doi.org/10.1088/1755-1315/447/1/012047
Achmad, A., Ramli, I., & Nizamuddin. (2023). Impact of land use and land cover changes on carbon stock in Aceh Besar District, Aceh, Indonesia. Journal of Water and Land Development, 57(IV -VI), 159-166. https://doi.org/10.24425/jwld.2023.145346 DOI: https://doi.org/10.24425/jwld.2023.145346
Arunyawat, S., & Shrestha, R. P. (2018). Simulating future land use and ecosystem services in Northern Thailand. Journal of Land Use Science, 13(1–2), 146–165. https://doi.org/10.1080/1747423X.2018.1496157 DOI: https://doi.org/10.1080/1747423X.2018.1496157
Aslam, B., Maqsoom, A., Salah Alaloul, W., Ali Musarat, M., Jabbar, T., & Zafar, A. (2021). Soil erosion susceptibility mapping using a GIS-based multi-criteria decision approach: Case of district Chitral, Pakistan. Ain Shams Engineering Journal, 12(2), 1637–1649. https://doi.org/10.1016/j.asej.2020.09.015 DOI: https://doi.org/10.1016/j.asej.2020.09.015
Bassey Eze, E., & Efiong, J. (2010). Morphometric Parameters of the Calabar River Basin: Implication for Hydrologic Processes. Journal of Geography and Geology, 2(1). https://doi.org/10.5539/jgg.v2n1p18 DOI: https://doi.org/10.5539/jgg.v2n1p18
Chuenchum, P., Xu, M., & Tang, W. (2020). Predicted trends of soil erosion and sediment yield from future land use and climate change scenarios in the Lancang–Mekong River by using the modified RUSLE model. International Soil and Water Conservation Research, 8(3), 213–227. https://doi.org/10.1016/j.iswcr.2020.06.006 DOI: https://doi.org/10.1016/j.iswcr.2020.06.006
Danumah, J. H., Odai, S. N., Saley, B. M., Szarzynski, J., Thiel, M., Kwaku, A., Kouame, F. K., & Akpa, L. Y. (2016). Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques, (cote d’ivoire). Geoenvironmental Disasters, 3(1). https://doi.org/10.1186/s40677-016-0044-y DOI: https://doi.org/10.1186/s40677-016-0044-y
Devatha, C. P., Deshpande, V., & Renukaprasad, M. S. (2015). Estimation of Soil loss Using USLE Model for Kulhan Watershed, Chattisgarh- A Case Study. Aquatic Procedia, 4, 1429–1436. https://doi.org/10.1016/j.aqpro.2015.02.185 DOI: https://doi.org/10.1016/j.aqpro.2015.02.185
Durigon, V. L., Carvalho, D. F., Antunes, M. A. H., Oliveira, P. T. S., & Fernandes, M. M. (2014). NDVI time series for monitoring RUSLE cover management factor in a tropical watershed. International Journal of Remote Sensing, 35(2), 441–453. https://doi.org/10.1080/01431161.2013.871081 DOI: https://doi.org/10.1080/01431161.2013.871081
Fachruddin, F., Sirait, S., Alimuddin, A., & Ramli, I. (2021). Kajian Tingkat Bahaya Erosi dan Kekritisan Pada DAS Krueng Raya, Provinsi Aceh Menggunakan Sistem Informasi Geografis. Jurnal Keteknikan Pertanian Tropis Dan Biosistem, 9(2), 154–164. https://doi.org/10.21776/ub.jkptb.2021.009.02.06 DOI: https://doi.org/10.21776/ub.jkptb.2021.009.02.06
Fagbohun, B. J., Anifowose, A. Y. B., Odeyemi, C., Aladejana, O. O., & Aladeboyeje, A. I. (2016). GIS-based estimation of soil erosion rates and identification of critical areas in Anambra sub-basin, Nigeria. Modeling Earth Systems and Environment, 2(3). https://doi.org/10.1007/s40808-016-0218-3 DOI: https://doi.org/10.1007/s40808-016-0218-3
Gürtekin, E., & Gökçe, O. (2021). Estimation of erosion risk of Harebakayiş sub-watershed, Elazig, Turkey, using GIS based RUSLE model. Environmental Challenges, 5. https://doi.org/10.1016/j.envc.2021.100315 DOI: https://doi.org/10.1016/j.envc.2021.100315
Kayet, N., Pathak, K., Chakrabarty, A., & Sahoo, S. (2018). Evaluation of soil loss estimation using the RUSLE model and SCS-CN method in hillslope mining areas. International Soil and Water Conservation Research, 6(1), 31–42. https://doi.org/10.1016/j.iswcr.2017.11.002 DOI: https://doi.org/10.1016/j.iswcr.2017.11.002
Kebede, Y. S., Endalamaw, N. T., Sinshaw, B. G., & Atinkut, H. B. (2021). Modeling soil erosion using RUSLE and GIS at watershed level in the upper beles, Ethiopia. Environmental Challenges, 2. https://doi.org/10.1016/j.envc.2020.100009 DOI: https://doi.org/10.1016/j.envc.2020.100009
Khosrokhani, M., & Pradhan, B. (2014). Spatio-temporal assessment of soil erosion at Kuala Lumpur metropolitan city using remote sensing data and GIS. Geomatics, Natural Hazards and Risk, 5(3), 252–270. https://doi.org/10.1080/19475705.2013.794164. DOI: https://doi.org/10.1080/19475705.2013.794164
Kumar, S., & Kushwaha, S. P. S. (2013). Modelling soil erosion risk based on RUSLE-3D using GIS in a Shivalik sub-watershed. Journal Earth System Sciences, 2, 389-398. DOI: https://doi.org/10.1007/s12040-013-0276-0
Olorunfemi, I. E., Komolafe, A. A., Fasinmirin, J. T., Olufayo, A. A., & Akande, S. O. (2020). A GIS-based assessment of the potential soil erosion and flood hazard zones in Ekiti State, Southwestern Nigeria using integrated RUSLE and HAND models. Catena, 194. https://doi.org/10.1016/j.catena.2020.104725 DOI: https://doi.org/10.1016/j.catena.2020.104725
Ramli, I., Achmad, A., Anhar, A., & Izzaty, A. (2021). Landscape patterns changes and relation to water infiltration of Krueng Peusangan Watershed in Aceh. In IOP Conference Series: Earth and Environmental Science (Vol. 916, Issue 1). IOP Publishing Ltd. https://doi.org/10.1088/1755-1315/916/1/012017 DOI: https://doi.org/10.1088/1755-1315/916/1/012017
Ramli, I., Nabila, F., Satriyo, P., & Jayanti, D. S. (2023). Model pengelolaan lahan kritis pada daerah aliran sungai krueng peusangan menggunakan sistem dinamik. Jurnal Ilmiah Rekayasa Pertanian Dan Biosistem, 11(1), 44–55. https://doi.org/10.29303/jrpb.v11i1.469 DOI: https://doi.org/10.29303/jrpb.v11i1.469
Rishki Ananda, K., & Iqbal, D. (2021). Analisis pengelolaan das peusangan berkelanjutan, Provinsi Aceh. Agrienvi, 15(2), 66–76. https://doi.org/10.36873/aev.2021.15.2.66
Singh, G., & Panda, R. K. (2017). Grid-cell based assessment of soil erosion potential for identification of critical erosion prone areas using USLE, GIS and remote sensing: A case study in the Kapgari watershed, India. International Soil and Water Conservation Research, 5(3), 202–211. https://doi.org/10.1016/j.iswcr.2017.05.006 DOI: https://doi.org/10.1016/j.iswcr.2017.05.006
Syafjanuar, T. E., Siregar, K., & Ramli, I. (2021). High conservation value approach in controlling water catchment area as a provider of environmental services. IOP Conference Series: Earth and Environmental Science, 644(1). https://doi.org/10.1088/1755-1315/644/1/012038 DOI: https://doi.org/10.1088/1755-1315/644/1/012038
Wulandari, A., Kun Cahyono, B., & Korespondensi, P. (2020). Volume Sedimentasi Waduk Sermo Menggunakan Metode RUSLE, E., dan Angkutan Sedimen. JGISE, 3(1), 39–48. https://doi.org/10.22146/jgise DOI: https://doi.org/10.22146/jgise.53719
Zerihun, M., Mohammedyasin, M. S., Sewnet, D., Adem, A. A., & Lakew, M. (2018). Assessment of soil erosion using RUSLE, GIS and remote sensing in NW Ethiopia. Geoderma Regional, 12, 83–90. https://doi.org/10.1016/j.geodrs.2018.01.002 DOI: https://doi.org/10.1016/j.geodrs.2018.01.002
Copyright (c) 2023 Firman Hadi, Tito Eka Syafjanuar, Nasrul Arrahman, Ichwana Ramli
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License 4.0 International License (CC-BY-SA License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in Jurnal Ilmiah Rekayasa Pertanian dan Biosistem (JRPB).
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).