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ISPRS Int. J. Geo-Inf. 2018, 7(8), 314; https://doi.org/10.3390/ijgi7080314

Multi-Temporal Image Analysis for Fluvial Morphological Characterization with Application to Albanian Rivers

Department of Civil, Environmental, and Mechanical Engineering, University of Trento, Via Mesiano, 77, 38123 Trento, Italy
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Received: 31 May 2018 / Revised: 25 June 2018 / Accepted: 30 June 2018 / Published: 3 August 2018
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Abstract

A procedure for the characterization of the temporal evolution of river morphology is presented. Wet and active river channels are obtained from the processing of imagery datasets. Information about channel widths and active channel surface subdivision in water, vegetation and gravel coverage classes are evaluated along with channel centerline lengths and sinuosity indices. The analysis is carried out on a series of optical remotely-sensed imagery acquired by different satellite missions during the time period between 1968 and 2017. Data from the CORONA, LANDSAT and Sentinel-2 missions were considered. Besides satellite imagery, a digital elevation model and aerial ortho-photos were also used. The procedure was applied to three, highly dynamic, Albanian rivers: Shkumbin, Seman and Vjosë, showing a high potential for application in contexts with limitations in ground data availability. The results of the procedure were assessed against reference data produced by means of expert interpretation of a reference set of river reaches. The results differ from reference values by just a few percentage points (<6%). The time evolution of hydromorphological parameters is well characterized, and the results support the design of future studies aimed at the understanding of the relations between climatic and anthropogenic controls and the response of river morphological trajectories. Moreover, the high spatial and temporal resolution of the Sentinel-2 mission motivates the development of an automatic monitoring system based on a rolling application of the defined procedure. View Full-Text
Keywords: geomatics; river morphology; river morphological trajectories; Sentinel-2; image processing; Albanian rivers geomatics; river morphology; river morphological trajectories; Sentinel-2; image processing; Albanian rivers
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Spada, D.; Molinari, P.; Bertoldi, W.; Vitti, A.; Zolezzi, G. Multi-Temporal Image Analysis for Fluvial Morphological Characterization with Application to Albanian Rivers. ISPRS Int. J. Geo-Inf. 2018, 7, 314.

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