Paper
20 October 2015 Flood mapping from Sentinel-1 and Landsat-8 data: a case study from river Evros, Greece
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Abstract
Floods are suddenly and temporary natural events, affecting areas which are not normally covered by water. The influence of floods plays a significant role both in society and the natural environment, therefore flood mapping is crucial. Remote sensing data can be used to develop flood map in an efficient and effective way. This work is focused on expansion of water bodies overtopping natural levees of the river Evros, invading the surroundings areas and converting them in flooded. Different techniques of flood mapping were used using data from active and passive remote sensing sensors like Sentinlel-1 and Landsat-8 respectively. Space borne pairs obtained from Sentinel-1 were processed in this study. Each pair included an image during the flood, which is called “crisis image” and another one before the event, which is called “archived image”. Both images covering the same area were processed producing a map, which shows the spread of the flood. Multispectral data From Landsat-8 were also processed in order to detect and map the flooded areas. Different image processing techniques were applied and the results were compared to the respective results of the radar data processing.
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Aggeliki Kyriou and Konstantinos Nikolakopoulos "Flood mapping from Sentinel-1 and Landsat-8 data: a case study from river Evros, Greece", Proc. SPIE 9644, Earth Resources and Environmental Remote Sensing/GIS Applications VI, 964405 (20 October 2015); https://doi.org/10.1117/12.2194449
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Cited by 5 scholarly publications.
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KEYWORDS
Floods

Earth observing sensors

Landsat

Associative arrays

Radar

Near infrared

Sensors

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