MORPHOLOGICAL MAPPING OF THE BOTTOM OF MESOLOGGI LAGOON WITH THE USE OF ASTRONAUT PHOTOGRAPHY AND GIS


Published: Jul 23, 2018
Κ. Αλμπανάκης
Κ. Βουβαλίδης
Π. Κόμματα
Σ. Σπανού
Αρ. Ψιλοβίκος
Abstract

Mesologi lagoon is a large and shallow environment with intense fish farming applications and the consequent enclosing of very large areas with fish fences and nets, which make field mapping almost impossible. Anthropogenic influence is eminent and a recent and updated morphological map was necessary. A mapping technique is presented based on the use of astronaut photography that is distributed freely by the Internet site of NASA. The digital photograph was geometrically corrected, visually, as semi transparent layer over a scanned map image by the use of PHOTOSHOP software. The areas of known depth were used to classify the depths of the lagoon with the PHOTOSHOP tool "replace color". An image therefore was produce with the depths classified as solid colors. This image was used as base map in MAPINFO, to produce a digital map in GIS environment, where all anthropogenic influence and depths (as depth ranges) are exist as separate layers and reveal the morphological background of the lagoon. The GIS map was used to calculate the water volume of the lagoon and the changes of the volume, as the sea level fluctuates with the tide. The depth-volume diagram was created and shows that during low water (-30cm) the volume is reduced by 43%, in contrast an increase of only 12% when sea level become 30cm higher. This is the result of the construction of peripheral embankments that restricts extension of the lagoon in high water. The implication of this situation is that the water renewal is restricted when sea level is kept high by a barometric low or an onshore wind, in contrast to very good renewal time when sea level is kept low by a barometric high.

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  • Marine Geology and Oceanography
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References
Αλμττανάκης, Κ., Ψιλοβίκος, Α., Βουβαλίδης, Κ., Παλικαρίδης, Χ., 1995. Η ευξεινική λεκάνη του Αιτωλικού σε σχέση με τη λιμνοθάλασσα του Μεσολογγίου. Πρακτικά 4ου Πανελλήνιου Γεωγραφικού Συνεδρίου, Αθήνα, 12-14 Οκτωβρίου. 27-41.
Αλμπανάκης Κ., Ψιλοβίκος Α., 2000, Διακυμάνσεις της αλατότητας στην λιμνοθάλασσα της Θολής, Μεσολογγίου. 6° Πανελλήνιο Συμπόσιο Ωκεανογραφίας & Αλιείας, Χίος, Μάιος
ΓΥΣ. Χάρτης κλίμακας 1:50.000 Φύλλο Μεσολόγγιον
ΓΎΣ. Χάρτης κλίμακας 1:50.000 Φύλλο Εχινάδες
Ψιλοβίκος Α., Αλμπανάκης Κ., Κοσματόπουλος Κ., Σουβατζόγλου Γ. & Νεοφώτιστος Π., 2000. Διαχείριση λειτουργίας σταθμών μέτρησης περιβαλλοντικών παραμέτρων στην π εριοχή της λιμνοθάλασσας Μεσολογγίου-Αιτωλικού. Πρακτικά 9ου Πανελλήνιου Συνεδρίου Ιχθυολόγων. Μεσολόγγι 20-23 Ιανουαρ. 201-204
Albanakis, Κ., 1985, Monitoring of Suspended Sediment Concentration using Optical Methods and Remote Sensing. Ph.D. Thesis, University of Nottingham, U.K.
Albanakis, K., 1990, Testing of a model for the simulation of the volume reflectance of water due to suspended sediment under controlled conditions, for various sediment types. International Journal of Remote Sensing, vol. 11, no. 9, 1533-1547.
Campbell, J. B., 1996, Introduction to Remote Sensing, 2nd edn (New York: The Guilford Press).
Cracknell, A. P., and Ibrahim, M., 1988, Bathymetry studies on the coastal waters (Red Sea) of Jeddah, Saudi Arabia, using shuttle MOMS-01 data. International journal of Remote Sensing, 9, 1161-1165.
NASA 2003. zulu.ssc.nasa.gov/mrsid/mrsid.pl
Roberts, A. C. B., and Anderson, J. M., 1999: Shallow water bathymetry using integrated airborne multi-spectral remote sensing. International journal of Remote Sensing, vol. 20, no. 3, 497-510.
Tripathi, N. K. and Rao, A. M., 2002, Bathymétrie mapping in Kakinada Bay, India, using IRS-1D LISS-III data. International Journal of Remote Sensing, vol. 23, no. 6, 1013-1025.
Yoshino, F., and Yoshitani, J., 1988, Water depth estimation based on attenuation and bottom reflectance. Proceedings of the Ninth Asian Conference on Remote Sensing, Bangkok, Τ hailand (Asian Association of Remote Sensing, University of Tokyo, Japan), pp. F-9-1-F-9-8.
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