Issues associated with the use of remote sensing data in predictive models of species distributions.


Osborne, P.E. and Leitao, P. (2006) Issues associated with the use of remote sensing data in predictive models of species distributions. In, 1st European Congress of Conservation Biology, Eger, Hungary,, 22 - 26 Aug 2006.

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Description/Abstract

Models predicting the distributions of wildlife have become a
popular tool in conservation biology and ecology. Their uses are
many and varied, including insights into competition theory,
predicting the impacts of climate change, and identifying the best
locations for protected sites. Predictive modelling requires well distributed data sets and it is no surprise that researchers are
increasing turning to remote sensing as a source of predictor
variables. Remotely sensed data are well-suited to this
application, the full grid of numerical reflectance values or
derived indices providing an apparently ideal input to statistical
models. The enthusiastic uptake of remotely sensed data in
distribution models is not without problems, however, and little
attention has been paid to the problems associated with using
such data. In this paper, we briefly review the many remote
sensing products that are available to distribution modellers and
provide examples of their use. We then examine in more detail
the assumptions made in using satellite and airborne imagery
and the impact the choice of spatial resolution has on the
collection of associated field data and the analyses that may be
performed. A point of major concern is the mis-registration of
data from different sources and we explore the interactions
between co-registration, spatial scale and model performance.

Item Type: Conference or Workshop Item (Paper)
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > QH Natural history > QH301 Biology
H Social Sciences > HA Statistics
Divisions: University Structure - Pre August 2011 > School of Civil Engineering and the Environment
ePrint ID: 53408
Date Deposited: 25 Jul 2008
Last Modified: 27 Mar 2014 18:36
URI: http://eprints.soton.ac.uk/id/eprint/53408

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