<p>Remote sensing has proven to be effective for mapping natural water bodies; however, its application in analyzing the physicochemical properties of mining sumps, particularly for detecting acid mine drainage (AMD), remains underexplored. This study evaluates the use of reflectance spectroscopy combined with multispectral PlanetScope SuperDove imagery to provide a practical solution for AMD detection and spatial mapping in coal mine sumps. Nine water samples from active sumps in the Asam-Asam coal mine, South Kalimantan, Indonesia, were analyzed for their physicochemical properties and spectral reflectance. Positive correlations between visible spectrum absorption band depths and concentrations of SO₄²⁻, Fe^(tot), and Mn^(tot) were identified, enabling the spatial mapping of AMD sources. Spatial mapping revealed areas of persistent AMD contamination, particularly during dry seasons when water coverage was reduced, leading to concentrated pollutant levels. Temporal analysis of the imagery revealed seasonal fluctuations in water coverage and AMD intensity, influenced by rainfall and mining activities. These findings underscore the utility of integrating spectral and spatial data to monitor AMD dynamics. This integrated approach bridges the gap between detailed laboratory analyses and large-scale environmental monitoring, providing a cost-effective tool for early AMD detection and supports sustainable mining practices through improved environmental monitoring.</p>