Hydrological assessment and modeling of the River Fani catchment in Albania using GIS and remote sensing

Afrodite Nicandrou; Linus A Mofor; Ray Delpak; Rod B Robinson

doi:10.1117/12.511989

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24 February 2004 Hydrological assessment and modeling of the River Fani catchment in Albania using GIS and remote sensing

Afrodite Nicandrou, Linus A Mofor, Ray Delpak, Rod B Robinson

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Proceedings Volume 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V; (2004) https://doi.org/10.1117/12.511989
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

This paper presents initial results of a hydrological study and flood assessment of the River Fani catchment in the Mirdita region in the north of Albania. Special attention is paid to Rubik town and its immediate surroundings. In the study multi-source and multi-scale data (published topographic and geological maps and various remote sensing sensors such as the Landsat series, MODIS and ASTER) are used to develop a GIS decision support system that uses hydrological inputs from various hydrological modelling packages - particularly WMS. The GIS is not only used as a link and management system between various data layers and hydrologic model outputs but also as modelling tool itself in an attempt to provide solutions to various catchment conservation issues, and flood prevention and control measure for Rubik town. Preliminary results of change detection analysis using satellite images show high levels of reduced vegetation and increased urbanisation from 1984 to 2000. Changes in the River Fani channel morphology are mapped and analysed to areas of severe erosion, landslides and high flood risks. It is concluded that remote sensing and GIS, when used creatively, provide powerful tools for overcoming the hydrological data challenge faced by hydrologists working on remote catchments with little or no structured conventional data acquisition system.

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Afrodite Nicandrou, Linus A Mofor, Ray Delpak, and Rod B Robinson "Hydrological assessment and modeling of the River Fani catchment in Albania using GIS and remote sensing", Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); https://doi.org/10.1117/12.511989

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