This study used multi-temporal and multi-resolution remotely sensed data of Landsat and MODIS imageries to draw the spatial and temporal patterns of forest degradation in Sultan Adam Forest Park (SAFP), South Kalimantan. The higher spatial resolution of Landsat images were acquired in 1993, 2003 and 2013 to analyze the decadal change of the forest landcover. While the higher temporal resolution of MODIS images were acquired in every 16 days from 2003 to 2013 to detect both gradual and abrupt annual changes. Due to the absence of past temporal ground data and comparable space platform data, the forest degradation change analysis was a challenge in landscape ecological studies. The time series analysis modelled that in 2023 the forest cover will decrease by 26%. In addition, the landscape metric analysis shows that deforestation was preceded by forest fragmentation due to anthropogenic disturbances. Forest fire and invasion after clear felling are two main driving factors for the spatial and temporal patterns of forest degradation in the SAFP. The spatial and temporal patterns of forest degradation was successfully modelled by multi-temporal and multi-resolution imagery.