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Remote sensing‐based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah
1.. Compared to bioclimatic variables, remote sensing predictors are rarely used for predictive species modelling. When used, the predictors represent typically habitat classifications or filters rather than gradual spectral, surface or biophysical properties. Consequently, the full potential of rem...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Blackwell Publishing Ltd
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2368764/ https://www.ncbi.nlm.nih.gov/pubmed/18642470 http://dx.doi.org/10.1111/j.1365-2664.2007.01348.x |