From space to species: ecological applications for remote sensing

  • Kerr J
  • Ostrovsky M
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Abstract

A variety of ecological applications require data from broad spatial
extents that cannot be collected using field-based methods. Remote
sensing data and techniques address these needs, which include identifying
and detailing the biophysical characteristics of species' habitats,
predicting the distribution of species and spatial variability in
species richness, and detecting natural and human-caused change at
scales ranging from individual landscapes to the entire world. Such
measurements are subject to substantial errors that can be difficult
to overcome, but corrected data are readily available and can be
of sufficiently high resolution to be integrated into traditional
field-based studies. Ecologists and conservation biologists are finding
new ways to approach their research with the powerful suite of tools
and data from remote sensing.

Author-supplied keywords

  • land-cover change leaf-area index satellite data p

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Authors

  • J T Kerr

  • M Ostrovsky

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