Next Article in Journal
Spatial and Temporal Variations in Water Quality and Land Use in a Semi-Arid Catchment in Bolivia
Previous Article in Journal
The Influence of Location on Water Quality Perceptions across a Geographic and Socioeconomic Gradient in Appalachia
Previous Article in Special Issue
Hybrid Methodology for the Estimation of Crop Coefficients Based on Satellite Imagery and Ground-Based Measurements
Article

Estimating Environmental Preferences of Freshwater Pelagic Fish Using Hydroacoustics and Satellite Remote Sensing

1
Department of Zoology, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
2
Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, 370 05 České Budějovice, Czech Republic
3
Department of Physical and Environmental Geography, School of Geology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Water 2019, 11(11), 2226; https://doi.org/10.3390/w11112226
Received: 29 August 2019 / Revised: 25 September 2019 / Accepted: 21 October 2019 / Published: 25 October 2019
In this study, a remote sensing-based method of mapping and predicting fish spatial distribution in inland waters is developed. A combination of Earth Observation data, in-situ measurements, and hydroacoustics is used to relate fish biomass distribution and water-quality parameters along the longitudinal transect of the Římov Reservoir (Czech Republic) using statistical and machine learning techniques. Parameter variations and biomass distribution are estimated and validated, and apparent trends are explored and discussed, together with potential limitations and weaknesses. Water-quality parameters exhibit longitudinal gradients along the reservoir, while calculations reveal a distinct fish assemblage pattern observed as a patchy overall biomass distribution. Although the proposed methodology has a great potential for sustainable water management, careful planning is needed to ensure the simultaneous acquisition of remote sensing and in-situ data to maximize calibration accuracy. View Full-Text
Keywords: Landsat; reservoir; geospatial analysis; water quality; inland fisheries Landsat; reservoir; geospatial analysis; water quality; inland fisheries
Show Figures

Figure 1

MDPI and ACS Style

Perivolioti, T.-M.; Tušer, M.; Frouzova, J.; Znachor, P.; Rychtecký, P.; Mouratidis, A.; Terzopoulos, D.; Bobori, D. Estimating Environmental Preferences of Freshwater Pelagic Fish Using Hydroacoustics and Satellite Remote Sensing. Water 2019, 11, 2226. https://doi.org/10.3390/w11112226

AMA Style

Perivolioti T-M, Tušer M, Frouzova J, Znachor P, Rychtecký P, Mouratidis A, Terzopoulos D, Bobori D. Estimating Environmental Preferences of Freshwater Pelagic Fish Using Hydroacoustics and Satellite Remote Sensing. Water. 2019; 11(11):2226. https://doi.org/10.3390/w11112226

Chicago/Turabian Style

Perivolioti, Triantafyllia-Maria, Michal Tušer, Jaroslava Frouzova, Petr Znachor, Pavel Rychtecký, Antonios Mouratidis, Dimitrios Terzopoulos, and Dimitra Bobori. 2019. "Estimating Environmental Preferences of Freshwater Pelagic Fish Using Hydroacoustics and Satellite Remote Sensing" Water 11, no. 11: 2226. https://doi.org/10.3390/w11112226

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop