2015
DOI: 10.1007/s10531-015-0947-z
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Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

Abstract: Recognizing the imperative need for biodiversity protection, the Convention on Biological Diversity (CBD) has recently established new targets towards 2020, the so-called Aichi targets, and updated proposed sets of indicators to quantitatively monitor the progress towards these targets. Remote sensing has been increasingly contributing to timely, accurate, and cost-effective assessment of biodiversity-related characteristics and functions during the last years. However, most relevant studies constitute individ… Show more

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Cited by 62 publications
(46 citation statements)
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References 226 publications
(280 reference statements)
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“…Numerous reviews document the technical issues and methodical applications in using EO for quantifying and monitoring BD and ecosystem variables (Kerr and Ostrovsky, 2003;Duro et al, 2007;Petrou et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Numerous reviews document the technical issues and methodical applications in using EO for quantifying and monitoring BD and ecosystem variables (Kerr and Ostrovsky, 2003;Duro et al, 2007;Petrou et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…However, various measures applied in numerous case studies limit the inter-comparability of study results and hinder a comprehensive evaluation of the suitability of remote sensing for forestry [15].…”
mentioning
confidence: 99%
“…A valuable summary and review paper highlighting the remote sensing advantages and capabilities for biodiversity monitoring is provided by Petrou, et al (2015) [67]. The authors present the Aichi targets and the related CBD indicators whose monitoring can be facilitated by remote sensing highlighting for each headline indicator a number of recent remote sensing approaches able for the extraction of related properties.…”
Section: Discussionmentioning
confidence: 99%