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Remotely-sensed proxies have been acknowledged as powerful tools for estimating species’ spatial distributions, whatever the taxonomic group being considered. Jiang et al. (2012) provide a robust example of seeing the unseen by remote sensing, predicting the distribution of epiphyllous liverworts from SPOT Vegetation remotely-sensed data

Rocchini, D. (2013). Seeing the unseen by remote sensing: satellite imagery applied to species distribution modelling. JOURNAL OF VEGETATION SCIENCE, 24(2), 209-210 [10.1111/jvs.12029].

Seeing the unseen by remote sensing: satellite imagery applied to species distribution modelling

Rocchini, Duccio
2013

Abstract

Remotely-sensed proxies have been acknowledged as powerful tools for estimating species’ spatial distributions, whatever the taxonomic group being considered. Jiang et al. (2012) provide a robust example of seeing the unseen by remote sensing, predicting the distribution of epiphyllous liverworts from SPOT Vegetation remotely-sensed data
2013
Rocchini, D. (2013). Seeing the unseen by remote sensing: satellite imagery applied to species distribution modelling. JOURNAL OF VEGETATION SCIENCE, 24(2), 209-210 [10.1111/jvs.12029].
Rocchini, Duccio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/741471
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