Optical granulometry in fast flood and stream flows deposits using ground-based means and drones

Postgraduate Thesis uoadl:2900040 297 Read counter

Unit:
Κατεύθυνση Στρατηγικές Διαχείρισης Περιβάλλοντος - Περιβαλλοντική Εκπαίδευση
Library of the School of Science
Deposit date:
2020-03-31
Year:
2020
Author:
Andriopoulos Petros
Supervisors info:
Δρ. Μ. Σταυροπούλου, Αναπληρώτρια Καθηγήτρια, Γεωλογίας & Γεωπεριβάλλοντος, ΕΚΠΑ
Δρ. Ε. Σκούρτσος, Επικ. Καθηγητής,Γεωλογίας & Γεωπεριβάλλοντος, ΕΚΠΑ
Δρ. «Κ. Σούκης, Ε.ΔΙ.Π.,Γεωλογίας & Γεωπεριβάλλοντος, ΕΚΠΑ
Original Title:
Οπτική κοκκομετρία σε αποθέσεις ξαφνικών πλημμυρών και ροών κορημάτων με χρήση επίγειων μέσων και ΣμηΕΑ
Languages:
Greek
Translated title:
Optical granulometry in fast flood and stream flows deposits using ground-based means and drones
Summary:
The purpose of this Msc thesis is to accomplish granulometry analysis in mapped, recent floods and/or debris flows. The study area is Mandra and more specifically the stream of Ag. Aikaterini, with sampling sites in Agios Ioannis and Katsimidi. The data were obtained through the UAVs (Unmanned Aerial Systems), but also by ground-based means, for analyzing the small fractions of granules.
Granulometry analysis will be taken place through Basegrain, Matlab-based software. BASEGRAIN combines photogrammetry and optical methods with intelligent algorithms, creating an automated object detection process. However, the program enables user interface (GUI) by converting the process to semi-automatic to improve the result.
The goal of this study is to distinguish three granular classes (fine, medium and thick grained), investigating the response of the software in different height as well as comparing the results with the already mapped data. At the same time, data from point images and orthophotomosaic are compared, for developing a wide mapping floods.
Main subject category:
Science
Keywords:
Optical Granulometry Analysis, Basegrain, Mandra, flash flood
Index:
Yes
Number of index pages:
6
Contains images:
Yes
Number of references:
31
Number of pages:
83
File:
File access is restricted only to the intranet of UoA.

Msc_Thesis_Andriopoulos_Petros.pdf
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File access is restricted only to the intranet of UoA.