El Nino is an anomaly in sea surface temperature in the Pacific Ocean, resulting in dry conditions and reduced rainfall in Indonesia. This anomaly can cause many things, one of which is a drought that affects plants’ growth. As a region that depends on agriculture, agriculture productivity in Nangapanda can be threatened by the dry condition derived by El Nino events. This research aims to detect the spatial and temporal of dry areas and analyze its relationship with plantation commodities productivity in Nangapanda. Landsat 5 TM and Landsat 8 OLI imagery data at the year 2009, 2015, and 2019 were used for analyzing the Normalization of Differences Vegetation Index (NDVI) and Tasseled Cap Transformation (TCT). Overlay of the NDVI and TCT will generate dry areas divided into moderate, high, and very high drought classes. Dry areas during 2019 are 2942.46 ha or 15% of the total area of Nangapanda Subdistrict. Mostly, drought areas are located in the agricultural area and shrubs area. The increasing dry area can cause a decrease in the productivity of plantation commodities in Nangapanda.