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Proceedings Paper

Fish habitat characterization and quantification using lidar and conventional topographic information in river survey
Author(s): Miguel Marchamalo Sacristán; María-Dolores Bejarano; Diego García de Jalón; Rubén Martínez Marín
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Paper Abstract

This study presents the application of LIDAR data to the evaluation and quantification of fluvial habitat in river systems, coupling remote sensing techniques with hydrological modeling and ecohydraulics. Fish habitat studies depend on the quality and continuity of the input topographic data. Conventional fish habitat studies are limited by the feasibility of field survey in time and budget. This limitation results in differences between the level of river management and the level of models. In order to facilitate upscaling processes from modeling to management units, meso-scale methods were developed (Maddock & Bird, 1996; Parasiewicz, 2001). LIDAR data of regulated River Cinca (Ebro Basin, Spain) were acquired in the low flow season, maximizing the recorded instream area. DTM meshes obtained from LIDAR were used as the input for hydraulic simulation for a range of flows using GUAD2D software. Velocity and depth outputs were combined with gradient data to produce maps reflecting the availability of each mesohabitat unit type for each modeled flow. Fish habitat was then estimated and quantified according to the preferences of main target species as brown trout (Salmo trutta). LIDAR data combined with hydraulic modeling allowed the analysis of fluvial habitat in long fluvial segments which would be time-consuming with traditional survey. LIDAR habitat assessment at mesoscale level avoids the problems of time efficiency and upscaling and is a recommended approach for large river basin management.

Paper Details

Date Published: 10 October 2007
PDF: 12 pages
Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 67420L (10 October 2007); doi: 10.1117/12.737803
Show Author Affiliations
Miguel Marchamalo Sacristán, Univ. Politécnica de Madrid (Spain)
María-Dolores Bejarano, Univ. Politécnica de Madrid (Spain)
Diego García de Jalón, Univ. Politécnica de Madrid (Spain)
Rubén Martínez Marín, Univ. Politécnica de Madrid (Spain)

Published in SPIE Proceedings Vol. 6742:
Remote Sensing for Agriculture, Ecosystems, and Hydrology IX
Christopher M. U. Neale; Manfred Owe; Guido D'Urso, Editor(s)

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