Goma B AhmedA R M ShariffS K BalasundramA F B Abdullah2024-05-152024-05-152018Ahmed, G. B., Shariff, A. R. M., Balasundram, S. K., & Abdullah, A. F. B. (2018). Estimation of soil loss in Seremban, Malaysia using GIS and remote sensing technique. In IOP Conference Series: Earth and Environmental Science (Vol. 169, No. 1, p. 012062). IOP Publishing.https://repoemc.ukm.my/handle/123456789/737This research maps the distribution and estimates the yearly mean value of soil erosion through the utilization of techniques of remote sensing and GIS by implementing the Revised Universal Soil Equation (RUSLE). To determine the variables of RUSLE's soil loss and analyze them in an integrated GIS environment, we used a scale of 1:50,000 according to criteria of topographic map, Aster Digital Elevation Model (DEM) which has a feature of spatial resolution that extends up to 20 m, a soil map which is digitally programmed with a scale of 1:250,000, and a decade of rainfall records for 12 stations.