 This study investigates the effectiveness of three texture extraction methods and three fuzzy systems for producing building damage maps from Lada data in a rapid manner, and tests the proposed method across three areas over the 2010 Haiti earthquake, achieving overall accuracies of 75%, 78.1% and 61.4%. The fuzzy inference systems were found to be stronger than other classifiers for detecting damaged buildings. This article was authored by Milod Jinalapur and Ali MohammadzadeCE