Are landscape ecologists addressing uncertainty in their remote sensing data

Lechner, Alex M., Langford, William T., Bekessy, Sarah A. and Jones, Simon D. (2012) Are landscape ecologists addressing uncertainty in their remote sensing data. Landscape Ecology, 27 9: 1249-1261.


Author Lechner, Alex M.
Langford, William T.
Bekessy, Sarah A.
Jones, Simon D.
Title Are landscape ecologists addressing uncertainty in their remote sensing data
Journal name Landscape Ecology   Check publisher's open access policy
ISSN 0921-2973; 1572-976
Publication date 2012
Sub-type Article (original research)
DOI 10.1007/s10980-012-9791-7?null
Volume 27
Issue 9
Start page 1249
End page 1261
Total pages 13
Place of publication Dordrecht The Netherlands
Publisher Springer
Collection year 2013
Language eng
Formatted abstract In this quantitative review, we investigate the degree to which landscape ecology studies that use spatial data address spatial uncertainty when conducting analyses. We identify three broad categories of spatial uncertainty that are important in determining the characterisation of landscape pattern and affect the outcome of analysis in landscape ecology: (i) classification scheme uncertainty, (ii) spatial scale and (iii) classification error. The second category, spatial scale, was further subdivided into five scale dependent factors (i) pixel size, (ii) minimum mappable unit, (iii) smoothing, (iv) thematic resolution and (v) extent.  We reviewed all articles published in the journal Landscape ecology in 2007 and recorded how spatial data was used and whether spatial uncertainty was addressed or reported in ecological analyses. This review found that spatial uncertainty was rarely addressed and/or reported. Only 23 % of articles addressed one or more scale dependent factors and 47 %reported one or more as issues. Most articles used the default pixel size of the sensor, and only a single study of the 59 investigated the effect of classification accuracy on ecological analyses. We demonstrate that spatial uncertainty is not being addressed as standard practice in analyses in landscape ecology, and then describe methods to test for spatial uncertainty and potential solutions that can be developed in the future.
Keyword Scale
Spatial uncertainty
Classification error
Landscape pattern
Remote Sensing
Land - cover mapping
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Online Firstâ„¢, 1 September 2012.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Centre for Mined Land Rehabilitation Publications
Official 2013 Collection
 
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Created: Thu, 27 Sep 2012, 09:24:18 EST by Mr Alex Lechner on behalf of Centre For Mined Land Rehabilitation