 The Synthesized Drought Index, SDI, was developed using satellite imagery to measure land surface temperature, normalized difference vegetation index, and precipitation. This index was then compared to the quarterly standardized precipitation index, QSPI-3, to validate its accuracy. During El Nino Southern Oscillation, ENSO, years, the SDI accurately predicted drought conditions in the Valle del Cauca department. Areas of non-drought were found in the southwest, while the central south experienced a transition from wet to extremely dry. In the Interandian valley, there were severely dry areas, while the eastern part of the department had extreme dryness. A susceptibility model was also created to identify areas affected by drought in a pilot municipality. This article was authored by Carlos David Ojeda-Fletches, Jamie Alejandro Berbano Rodriguez, Yesid Carvajal Escobar, and others.