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Seeing the unseen by remote sensing: satellite imagery applied to species distribution modelling
Author(s) -
Rocchini Duccio
Publication year - 2013
Publication title -
journal of vegetation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 115
eISSN - 1654-1103
pISSN - 1100-9233
DOI - 10.1111/jvs.12029
Subject(s) - remote sensing , satellite imagery , vegetation (pathology) , geography , satellite , spatial distribution , distribution (mathematics) , aerial imagery , cartography , ecology , physical geography , computer science , environmental science , biology , mathematics , medicine , mathematical analysis , pathology , engineering , aerospace engineering
Remotely‐sensed proxies have been acknowledged as powerful tools for estimating species’ spatial distributions, whatever the taxonomic group being considered. Jiang et al. (2013) provide a robust example of seeing the unseen by remote sensing, predicting the distribution of epiphyllous liverworts from SPOT Vegetation remotely‐sensed data.