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

被引：10
|
作者：
Rocchini, Duccio [1 ]
机构：
[1] Fdn Edmund Mach, Res & Innovat Ctr, Dept Biodivers & Mol Ecol, GIS & Remote Sensing Unit, I-38010 San Michele All Adige, TN, Italy
来源：
JOURNAL OF VEGETATION SCIENCE | 2013年 / 24卷 / 02期
关键词：
BETA DIVERSITY;
D O I：
10.1111/jvs.12029
中图分类号：
Q94 [植物学];
学科分类号：
071001 ;
摘要：
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.
引用
收藏
页码：209 / 210
页数：2
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