Identification of Forest Damage and Critical Land Around the Jeneberang River

Authors

  • Asikin Muchtar Universitas Indonesia Timur

DOI:

https://doi.org/10.55927/ijaea.v4i2.15064

Keywords:

Forest Damage, Critical Land, Jeneberang Watershed, Satellite Imagery, Geographic Information System (GIS)

Abstract

Forest destruction and critical land are serious problems that have a direct impact on ecosystem stability and potential disasters in watershed areas, including around the Jeneberang River. This study aims to identify the level of forest destruction and distribution of critical land in the area, and analyze its relationship with topographic conditions and land use. The approach used was descriptive quantitative method with Landsat 8 satellite image interpretation techniques and Geographic Information System (GIS) processing. Data were collected through field observations, documentation, and interviews with 15 informants from forestry agencies and surrounding communities. The analysis was conducted using land cover classification, spatial overlay, and damage level scoring based on the Forestry Department's criteria. The results showed that most of the forest damage occurred on steep slopes with a dominance of declining vegetation, while critical land was scattered in the upper and middle watershed areas with a very high level of damage reaching 37% of the total area. The dominant factors causing damage are land use change, illegal logging, and non-official mining activities. In conclusion, this spatial identification of forest degradation and critical land makes an important contribution to watershed rehabilitation planning and data-driven forest protection policy development. The findings also reinforce the urgency of integrated management across sectors to prevent further environmental degradation in strategic catchment areas.

Downloads

Download data is not yet available.

References

Alkharabsheh, M. M., Al-Abyadh, M. H., & Mohammed, A. J. (2020). GIS-based analysis of land degradation in arid and semi-arid environments. Environmental Earth Sciences, 79(1), 1–12. https://doi.org/10.1007/s12665-019-8791-6

Blaikie, P., & Brookfield, H. (1987). Land degradation and society. Routledge.

BPDAS Jeneberang. (2022). Laporan Tahunan Pengelolaan DAS Jeneberang Tahun 2022. Balai Pengelolaan Daerah Aliran Sungai dan Hutan Lindung Jeneberang. https://sulsel.menlhk.go.id/bpdas-jeneberang

Chandra, I., Hardiyanto, E. B., & Rachman, R. (2020). Integration of GIS and remote sensing for identifying critical land in tropical watershed. International Journal of Environmental Science and Technology, 17, 2031–2044. https://doi.org/10.1007/s13762-019-02567-w

FAO. (2022). The state of the world's forests 2022: Forest pathways for green recovery and building inclusive, resilient and sustainable economies. Food and Agriculture Organization of the United Nations. https://www.fao.org/publications/sofo/2022/en/

Jin, S., Yang, L., Danielson, P., Homer, C., Fry, J., & Xian, G. (2023). A comprehensive method for land cover classification using Landsat data. Remote Sensing of Environment, 293, 113569. https://doi.org/10.1016/j.rse.2023.113569

Kementerian Lingkungan Hidup dan Kehutanan (KLHK). (2023). Status hutan dan lahan kritis nasional tahun 2023. https://ppid.menlhk.go.id

Misra, A., Tripathi, A., & Kumar, P. (2021). Remote sensing and GIS-based assessment of land degradation in a tropical watershed. Environmental Monitoring and Assessment, 193(8), 1–16. https://doi.org/10.1007/s10661-021-09334-7

Utomo, S. W., & Prasetyo, L. B. (2022). Land use change and forest degradation analysis in Indonesia's watershed areas. Journal of Forestry Research, 19(1), 34–45. https://doi.org/10.20886/jfr.2022.19.1.34-45

USGS. (2023). Earth Explorer: Landsat 8 OLI/TIRS dataset. U.S. Geological Survey. https://earthexplorer.usgs.gov

Downloads

Published

2025-07-31

How to Cite

Muchtar, A. (2025). Identification of Forest Damage and Critical Land Around the Jeneberang River. Indonesian Journal of Agriculture and Environmental Analytics, 4(2), 143–152. https://doi.org/10.55927/ijaea.v4i2.15064

Issue

Section

Articles