Application of remote sensing to extract flood areas using ENVISAT ASAR data
Автор: Trinh Le Hung, Andrade E.R.M., Pham Tuan Anh
Журнал: Вестник аграрной науки @vestnikogau
Статья в выпуске: 1 (52), 2015 года.
Бесплатный доступ
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.
Flood, remote sensing, envisat, sar, classification, damage
Короткий адрес: https://sciup.org/147124219
IDR: 147124219
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