Author:
Basuki Basuki,Anggriawan Rendy,Sari Vega Kartika,Rohman Fahmi Arief
Abstract
Indonesia is in the ring of fire, which has an impact on the characteristics of volcanoes, one of which is Mount Raung. Mount Raung, part of the Iyang-Argopura mountains, has a role in influencing the development of soil types and the environment; it was recorded in 1586, 1987, 1597, and 1638. Soil types and environmental parameters have an influence on critical land conditions. Remote sensing technology has been used in various fields, one of which is land evaluation. This study examined the distribution of soil characteristics and the mapping of critical lands through remote sensing approaches. The method used to identify the morphological characteristics of soil classification and the potential for critical land was a descriptive-exploratory method. The results of the research on soil types are divided into three orders, namely Andisols, Inceptisols, and Alfisols. The three land orders are divided into nine great groups, with Lithic Eutrudepts having the highest area of 38.02%, followed by Typic Hapludalfs (21.70%), Typic Eutrudepts (9.79%), Typic Epiaquepts (7.84%), Aquic Eutrudepts (7.71%), Aquic Eutrudepts (5.64%), Fluventic Epiaquepts (5.30%), Typic Udivitrands (2.16%), and Vitric Hapludands (1.83%). Critical land based on the analysis of five factors of erosion, land use, slope, rainfall, and soil canopy density, is divided into four criteria i.e., critical area of 895.88 ha, medium critical 9,027.69 ha, and lightly critical of 14,096.89 ha. Land use, slope, and plant canopy density play a major role in the potential for critical land with a strong-very-strong level of closeness (0.350-0.610).
Publisher
Faculty of Agriculture, Brawijaya University
Reference36 articles.
1. Aktab, B.A., Susanti, F. and Lestari, S.A.P. 202). The level of critical land in West Lombok using geographic information systems. Proceedings of the 2nd Borobudur International Symposium on Science and Technology (BIS-STE 2020), 203, 311-316. https://doi.org/10.2991/aer.k.210810.054/
2. Asgari, N., Ayoubi, S., Demattê, J.A.M., Jafari, A., Safanelli, J.L. and Da Silveira, A.F.D. 2020. Digital mapping of soil drainage using remote sensing, DEM and soil color in a semiarid region of Central Iran. Geoderma Regional 22:e00302. https://doi.org/10.1016/j.geodrs.2020.e00302
3. Azuka, C.V., Igu eacute, A.M., Diekkr uuml ger, B. and Igwe, C.A. 2015. Soil survey and soil classification of the Koupendri catchment in Benin, West Africa. African Journal of Agricultural Research 10(42):3938-3951. https://doi.org/10.5897/AJAR2015.9904
4. Baskan, O., Dengiz, O. and Gunturk, A. 2016. Effects of toposequence and land use-land cover on the spatial distribution of soil properties. Environmental Earth Sciences 75(5):1-10. https://doi.org/10.1007/s12665-016-5301-6
5. Basuki, B., Budiman, S.A., Mutmainnah, L. and Rosyady, M.G. 2022. Soil damage potential index based on weighting scoring analysis and utilization of geographical information systems. Jurnal Tenik Pertanian Lampung 11(4):601-616. https://doi.org/10.23960/jtep-l.v11i4.601-616