Geolocation by light: accuracy and precision affected by environmental factors

By S. Lisovski, C. Hewson, R. Klaassen, Fraenzi Korner-Nievergelt, M. W. Kristensen, S. Hahn. 2012

320 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/02cbfae789aa85f51a561c15c9abc7db3b49ab48

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In Aerospace Engineering

In Environmental Engineering

Willem Bouten

Citations in the corpus

Ten years tracking the migrations of small landbirds: Lessons learned in the golden age of bio-logging (2018, methodology): “…127 studies published on movements of small landbirds with geo- locators alone (Figure 2), not including papers on analysis approaches (e.g., Lisovski et al. 2012), testing accuracy of geolocators compared with other tracking techniques (e.g., Korner-Nievergelt et al. 2012, Hallworth et…”
Phenological matching across hemispheres in a long‐distance migratory bird (2013, background): “Potential sources of error include variation in logger light sensitivity, individual behaviour during sunrise and sunset, cloud cover and weather and differences among territories in topography (Lisovski et al., 2012).”
GeoLight – processing and analysing light‐based geolocator data in R (2012, methodology): “In such case, a separate analysis might be helpful (for discussion about such eﬀects see the study by Lisovski et al. 2012).”
Comparing inferences of solar geolocation data against high-precision GPS data: annual movements of a double-tagged black-tailed godwit (2016, methodology): “…functions estimating an individual’s position by searching for dates on which there were likely changes in the timing of either dawn or dusk (see Lisovski et al. 2012b for details and Supplementary material Appendix 5 for the parameters used in the current analysis); ‘mergeSites’ is a new…”
Light‐level geolocators reveal migratory connectivity in European populations of pied flycatchers Ficedula hypoleuca (2016, unknown): “These major changes in sunset-rise times were extracted using the changeLight-function in the R-package GeoLight (Lisovski et al. 2012a), setting the minimal stopover period to three days and the quantile probability threshold (Q) to 0.95.”