Assessing cumulative uncertainties of remote sensing time series and telemetry data in animal-environment studies

• Published in: Landscape ecology Vol. 39; no. 2; p. 7
• Main Authors: Standfuß, Ines, Geiß, Christian, Senaratne, Hansi, Kerr, Grégoire, Nathan, Ran, Rotics, Shay, Taubenböck, Hannes
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 25.01.2024; Springer Nature B.V
• Subjects: Accessibility; Agricultural land; Aquatic birds; Biomedical and Life Sciences; Ecology; Environmental Management; Grasslands; habitat preferences; Habitat selection; Habitat utilization; Habitats; Landscape Ecology; Landscape/Regional and Urban Planning; Life Sciences; Modelling; Monte Carlo simulation; Nature Conservation; Normalized difference vegetative index; Prey; Remote sensing; Research Article; Sustainable Development; Telemetry; Time series; time series analysis; uncertainty; Uncertainty analysis; Landsat time series; Uncertainty; White stork; Ciconia ciconia; Vegetation dynamics; Habitat selection; NDVI

Context Remote sensing time series (hereafter called time series) and telemetry data are widely used to study animal-environment relationships. However, both data sources are subject to uncertainties that can cause erroneous conclusions. To date, only the uncertainty of telemetry data can be estimat...