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

Seeing the unseen by remote sensing: satellite imagery applied to species distribution modelling / Rocchini, Duccio. - In: JOURNAL OF VEGETATION SCIENCE. - ISSN 1100-9233. - 24:2(2013), pp. 209-210. [10.1111/jvs.12029]

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

Rocchini, Duccio
2013-01-01

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
2
Rocchini, Duccio
Seeing the unseen by remote sensing: satellite imagery applied to species distribution modelling / Rocchini, Duccio. - In: JOURNAL OF VEGETATION SCIENCE. - ISSN 1100-9233. - 24:2(2013), pp. 209-210. [10.1111/jvs.12029]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/198055
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 10
  • OpenAlex ND
social impact