Vestnik OrelGAU, 1(52), February 2015 УДК / UDC 528.854.2 APPLICATION OF REMOTE SENSING TO EXTRACT FLOOD AREAS USING ENVISAT ASAR DATA МЕТОДИКА ОПРЕДЕЛЕНИЯ ЗАТОПЛЕННЫХ РАЙОНОВ ПО ДАННЫМ РАДИОЛОКАЦИОНЫХ ИЗОБРАЖЕНИЙ ENVISAT ASAR Trinh Le Hung*, Candidate of Technical Sciences Чинь Ле Хунг, кандидат технических наук Le Quy Don Technical University, Hanoi, Vietnam Andrade E.R.M, Post-graduate student Эдгар Рубен Монтель Андраде, аспирант Moscow State University of Geodesy and Cartography, Moscow, Russia Pham Tuan Anh, Master of Science Фам Туан Ань, магистр Forest Inventory and Planning Institute, Hanoi, Vietnam *E-mail: trinhlehung125@gmail.com ABSTRACT Flooding is the most common natural disaster and can occur anywhere. <...> Heavy rain is the most frequent cause of floods, but there are many other natural triggers, including hurricanes, tidal surges, ice jams and snow melt. <...> Radar images with many advantages over optical images such as no cloud coverage or solar illumination problem have been effectively used for flood monitoring. <...> In this study, for extraction of flooded areas, pre and post event ENVISAT ASAR satellite images were analyzed. <...> The results obtained in this study can be used to immediate assessment of flood risk and damage. <...> АННОТАЦИЯ Наводнение является наиболее распространенным стихийным бедствием и может произойти в любом месте. <...> Для определения затопленных районов, былы использованы разновременные изображения ENVISAT ASAR до и после наводнения. <...> Floods are the most frequent and costly natural disasters in Bangladesh resulted from typical tropical monsoon climatic features, in addition to the intensifying topographic characters and recent climate change. <...> Remote sensing data has been widely used for flood mapping and monitoring [1-6]. <...> If optical data's utility in flood detection depends on cloud cover, microwave remote sensing technique with all weather monitoring capability and its large coverage is an important tool in flood monitoring [5]. <...> So, SAR image appear highly to plain flood monitoring over large areas due <...>