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https://hdl.handle.net/20.500.14279/4468
Τίτλος: | Optimizing statistical classification accuracy of satellite remotely sensed imagery for supporting fast flood hydrological analysis | Συγγραφείς: | Alexakis, Dimitrios Hadjimitsis, Diofantos G. Retalis, Adrianos Agapiou, Athos |
Major Field of Science: | Engineering and Technology | Field Category: | Civil Engineering | Λέξεις-κλειδιά: | Spectroradiometer;Statistics;Classification;Remote sensing | Ημερομηνία Έκδοσης: | 10-Απρ-2012 | Πηγή: | Acta Geophysica, 2012, vol. 60, pp. 959–984 | Volume: | 60 | Start page: | 959 | End page: | 984 | Link: | http://link.springer.com/article/10.2478/s11600-012-0025-9 | Περιοδικό: | Acta Geophysica | Series/Report no.: | Acta Geophysica, 2012, Volume 60, Issue 3, Pages 959-984 | Περίληψη: | The aim of this study is to improve classification results of multispectral satellite imagery for supporting flood risk assessment analysis in a catchment area in Cyprus. For this purpose, precipitation and ground spectroradiometric data have been collected and analyzed with innovative statistical analysis methods. Samples of regolith and construction material were in situ collected and examined in the spectroscopy aboratory for their spectral response under consecutive different conditions of humidity. Moreover, reflectance values were extracted from the same targets using Landsat TM/ETM+ images, for drought and humid time periods, using archived meteorological data. The comparison of the results showed that spectral responses for all the specimens were less correlated in cases of substantial humidity, both in laboratory and satellite images. These results were validated with the application of differentclassification algorithms (ISODATA, maximum likelihood, object based, maximum entropy) to satellite images acquired during time period when precipitation phenomena had been recorded. | URI: | https://hdl.handle.net/20.500.14279/4468 | ISSN: | 18957455 | DOI: | 10.2478/s11600-012-0025-9 | Rights: | © 2012 Institute of Geophysics, Polish Academy of Sciences Attribution-NonCommercial-NoDerivs 3.0 United States |
Type: | Article | Affiliation: | National Observatory of Athens Cyprus University of Technology |
Funding: | Cyprus Research Promotion Foundation |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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