The problem in this research is monitoring the forest fire disasters in South Kalimantan Province, Indonesia. One form of technology that can be applied to support the forest fire prevention activities is remote sensing satellite technology. The objective of this research is to analyze the ability of the Landsat 8 OLI TIRS for monitoring post-fire forest changes based on the ΔNBR and ΔNDVI values. The data used in this research were ΔNBR and ΔNDVI generated from Landsat 8 OLI data record from August 11 to September 6, 2017. The research showed that burned areas in South Kalimantan Province could be identified from the Landsat 8 OLI imagery based on changes on the ΔNBR and ΔNDVI values. The former burned areas during the 2017 fire season in South Kalimantan Province (August- September) were mostly found in some regency such as Banjar, Hulu Sungai Utara, Hulu Sungai Selatan, Tapin, Tanah Laut, and Banjarbaru. The Landsat 8 OLI TIRS has longer spectral bands. The use of the NBR index using the SWIR band makes the Landsat 8 OLI TIRS to be more preferred than other imagery.