caa a22 4500 605527261 CHVBK 20210128100807.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s10531-015-0947-z doi (NATIONALLICENCE)springer-10.1007/s10531-015-0947-z Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets [Elektronische Daten] [Zisis Petrou, Ioannis Manakos, Tania Stathaki] 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 individual research efforts, rarely related with the extraction of widely adopted CBD biodiversity indicators. Furthermore, systematic operational use of remote sensing data by managing authorities has still been limited. In this study, the Aichi targets and the related CBD indicators whose monitoring can be facilitated by remote sensing are identified. For each headline indicator a number of recent remote sensing approaches able for the extraction of related properties are reviewed. Methods cover a wide range of fields, including: habitat extent and condition monitoring; species distribution; pressures from unsustainable management, pollution and climate change; ecosystem service monitoring; and conservation status assessment of protected areas. The advantages and limitations of different remote sensing data and algorithms are discussed. Sorting of the methods based on their reported accuracies is attempted, when possible. The extensive literature survey aims at reviewing highly performing methods that can be used for large-area, effective, and timely biodiversity assessment, to encourage the more systematic use of remote sensing solutions in monitoring progress towards the Aichi targets, and to decrease the gaps between the remote sensing and management communities. Springer Science+Business Media Dordrecht, 2015 Biodiversity indicator nationallicence Remote sensing nationallicence Indicator estimation nationallicence Aichi Targets nationallicence CBD biodiversity indicators nationallicence Ecosystem monitoring nationallicence Petrou Zisis Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK aut Manakos Ioannis Information Technologies Institute, Centre for Research and Technology Hellas, 6th km Xarilaou - Thermi, P.O. Box 60361, 57001, Thessaloniki, Greece aut Stathaki Tania Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK aut Biodiversity and Conservation Springer Netherlands 24/10(2015-09-01), 2333-2363 0960-3115 24:10<2333 2015 24 10531 https://doi.org/10.1007/s10531-015-0947-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 review-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10531-015-0947-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Petrou Zisis Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK aut NATIONALLICENCE 700 1- Manakos Ioannis Information Technologies Institute, Centre for Research and Technology Hellas, 6th km Xarilaou - Thermi, P.O. Box 60361, 57001, Thessaloniki, Greece aut NATIONALLICENCE 700 1- Stathaki Tania Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK aut NATIONALLICENCE 773 0- Biodiversity and Conservation Springer Netherlands 24/10(2015-09-01), 2333-2363 0960-3115 24:10<2333 2015 24 10531