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Satellite images tell tales of changing biodiversity

Date:
October 24, 2012
Source:
Public Library of Science
Summary:
Analysis of texture differences in satellite images may be an effective way to monitor changes in vegetation, soil and water patterns over time, with potential implications for measuring biodiversity as well, according to new research.

This image shows, from the top right: average annual rainfall; Middle: satellite imagery for the wet season; Bottom left: satellite imagery for the dry season. Patterns are shown for three consecutive years among the 28 analyzed.
Credit: Matteo Convertino; Convertino M, Mangoubi RS, Linkov I, Lowry NC, Desai M (2012) Inferring Species Richness and Turnover by Statistical Multiresolution Texture Analysis of Satellite Imagery. PLOS ONE 7(10): e46616. doi:10.1371/journal.pone.0046616

Analysis of texture differences in satellite images may be an effective way to monitor changes in vegetation, soil and water patterns over time, with potential implications for measuring biodiversity as well, according to new research published Oct. 24 by Matteo Convertino from the University of Florida and colleagues in the open access journal PLOS ONE.

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The authors designed statistical models to estimate two aspects of biodiversity in satellite images: the number of species in a given region, or 'species richness', and the rate at which species entered or were removed from the ecosystem, a parameter termed 'species turnover'.

They tested their models on data gathered over 28 years in a water conservation area in the Florida Everglades and compared their results to previous reports from the region. They found that their models were nearly 100% accurate when predicting species turnover; conventional methods only have 85% accuracy.

According to the authors, their automated method using satellite images could help improve the efficiency and decrease the cost of campaigns that monitor biodiversity and guide policy and conservation decisions. Convertino says, "Texture-based statistical image analysis is a promising method for quantifying seasonal differences and, consequently, the degree to which vegetation, soil, and water patterns vary as a function of natural and anthropic stressors. The application of the presented model to other fields and scales of analysis of ecosystems is a promising research direction.''


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The above story is based on materials provided by Public Library of Science. Note: Materials may be edited for content and length.


Journal Reference:

  1. Matteo Convertino, Rami S. Mangoubi, Igor Linkov, Nathan C. Lowry, Mukund Desai. Inferring Species Richness and Turnover by Statistical Multiresolution Texture Analysis of Satellite Imagery. PLoS ONE, 2012; 7 (10): e46616 DOI: 10.1371/journal.pone.0046616

Cite This Page:

Public Library of Science. "Satellite images tell tales of changing biodiversity." ScienceDaily. ScienceDaily, 24 October 2012. <www.sciencedaily.com/releases/2012/10/121024175355.htm>.
Public Library of Science. (2012, October 24). Satellite images tell tales of changing biodiversity. ScienceDaily. Retrieved December 19, 2014 from www.sciencedaily.com/releases/2012/10/121024175355.htm
Public Library of Science. "Satellite images tell tales of changing biodiversity." ScienceDaily. www.sciencedaily.com/releases/2012/10/121024175355.htm (accessed December 19, 2014).

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