All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Estimating environmental preferences of freshwater pelagic fish using hydroacoustics and satellite remote sensing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F19%3A00517213" target="_blank" >RIV/60077344:_____/19:00517213 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2073-4441/11/11/2226" target="_blank" >https://www.mdpi.com/2073-4441/11/11/2226</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/w11112226" target="_blank" >10.3390/w11112226</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimating environmental preferences of freshwater pelagic fish using hydroacoustics and satellite remote sensing

  • Original language description

    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 Rímov 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10617 - Marine biology, freshwater biology, limnology

Result continuities

  • Project

    <a href="/en/project/EF16_025%2F0007417" target="_blank" >EF16_025/0007417: Biomanipulation as a tool for improving water quality of dam reservoirs</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Water

  • ISSN

    2073-4441

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    17

  • Pages from-to

    2226

  • UT code for WoS article

    000502264500028

  • EID of the result in the Scopus database

    2-s2.0-85075552916