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rsMove - An R package to bridge Remote Sensing and Movement Ecology

Remelgado, Ruben and Wegmann, Martin and Kamran, Safi (2019) rsMove - An R package to bridge Remote Sensing and Movement Ecology. Methods in Ecology and Evolution, 10 (8), pp. 1212-1221. Wiley. doi: 10.1111/2041-210X.13199. ISSN 2041-210X.

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Official URL: https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.13199


"1.Remote sensing data is a valuable tool in movement ecology. However, the way it's combined with animal movement data is far from optimal as most studies overlook differences in the spatial, temporal and thematic resolutions between both data types. 2.rsMove uses a pixel‐based approach to link animal tracking and remote sensing data that bridge the gap between these two disciplines while respecting the limitations of the latest. Additionally, if offers standardize methods to pre‐analyze the connection between animal movement and environmental change. 3.The package guides the choice of study sites, satellite data and environmental predictors though data mining and visualization tools. rsMove offers a simple methodology to analyze animal‐environment interactions that helps avoid unnecessary, time‐consuming satellite data processing through an informed decision process. 4.The package offers a basis for a better communication between ecologists and remote sensing experts contributing to the definition of clear remote sensing data requirements. Additionally, it provides future studies on animal movement tools for a more critical approach on the selection of environmental data supporting their reproducibility."

Item URL in elib:https://elib.dlr.de/130370/
Document Type:Article
Title:rsMove - An R package to bridge Remote Sensing and Movement Ecology
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Remelgado, Rubenruben.remelgado (at) idiv.deUNSPECIFIED
Wegmann, Martinmartin.wegmann (at) uni-wuerzburg.deUNSPECIFIED
Date:August 2019
Journal or Publication Title:Methods in Ecology and Evolution
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1111/2041-210X.13199
Page Range:pp. 1212-1221
Keywords:rsMove, Remote Sensing, Movement Ecology
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:12 Nov 2019 08:44
Last Modified:12 Nov 2019 08:44

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