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Συμβολή της δορυφορικής τηλεπισκόπησης στη χαρτογράφηση πλημμυρικών φαινομένων

Papathanasiou Konstantinos

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Year 2017
Type of Item Diploma Work
Bibliographic Citation Κωνσταντίνος Παπαθανασίου, "Συμβολή της δορυφορικής τηλεπισκόπησης στη χαρτογράφηση πλημμυρικών φαινομένων", Διπλωματική Εργασία, Σχολή Μηχανικών Περιβάλλοντος, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2017
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This pre-graduated thesis evaluated the contribution of remote sensing and GIS in recording and mapping of floods, using satellite images.Initially, there was a detailed description of the process of remote sensing, and the operation of remote sensing satellites Sentinel 1 with radar technology, and Landsat 8, which belongs to the category of passive remote sensing. Still, the methodology of Remote Sensing, followed by the occurrence of floods, the main stages of the pre-processing of satellite data, create maps of vegetation indices, classification of multispectral images and the assessment of classification accuracy was analyzed.The data pre-processing is a major part of this thesis and it is necessary, as exempt images from atmospheric interference, applicable to these digital filters and digital conversions take place which make them suitable for classification and further processing.The study area, on which we worked, is the river Strymonas, which is located in the prefecture of Serres, and the time at which the flood of the river presented are for the year 2015. This work’s aim is to map the flooded area and find the best classification method, and the correlation of the classified images to the reference image.To succeed these, there were used four satellite images, two Landsat satellite 8 and two Sentinel 1 satellite, with coverage area the study area and the wider region. The date, when the first images of the two satellites were obtained, was some days before the flood, while the second images was at the height of the flood phenomenon.The processing of the satellite products Sentinel 1 was performed with the use of programming tools called Snap, while the processing of products of multispectral Landsat satellite 8 was performed using the softwares Erdas Imagine 2016 and ArcMap.Finally, the results obtained during the preparation of this thesis and the conclusions reached after the processing of the results, are detailing.

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