The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground-biomass of mangrove ecosystems Navarro, Alejandro, Young, Mary, Allan, Blake, Carnell, Paul, Macreadie, Peter and Ierodiaconou, Daniel 2020, The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground-biomass of mangrove ecosystems, Remote sensing of environment, vol. 242, pp. 1-13, doi: 10.1016/j.rse.2020.111747. Attached Files Name Description MIMEType Size Downloads Title The application of Unmanned Aerial Vehicles (UAVs) to estimate above-ground-biomass of mangrove ecosystems Author(s) Navarro, Alejandro Young, Mary orcid.org/0000-0001-7426-2343 Allan, Blake orcid.org/0000-0003-0101-3412 Carnell, Paul orcid.org/0000-0001-6747-1366 Macreadie, Peter orcid.org/0000-0001-7362-0882 Ierodiaconou, Daniel orcid.org/0000-0002-7832-4801 Journal name Remote sensing of environment Volume number 242 Article ID 111747 Start page 1 End page 13 Total pages 13 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2020-06 ISSN 0034-4257 Keyword(s) Science & Technology Life Sciences & Biomedicine Technology Environmental Sciences Remote Sensing Imaging Science & Photographic Technology Environmental Sciences & Ecology Mangrove Unmanned aerial vehicle Individual tree segmentation Above-ground biomass Cost-benefit analysis LOW-COST CARBON STORAGE FOREST LIDAR IMAGERY HEIGHT PROTECTION SERVICES STOCKS FUSION Language eng DOI 10.1016/j.rse.2020.111747 Indigenous content off Field of Research 0406 Physical Geography and Environmental Geoscience 0909 Geomatic Engineering HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Persistent URL http://hdl.handle.net/10536/DRO/DU:30135960 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Life and Environmental Sciences Centre for Integrative Ecology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 02 Apr 2020, 10:47:56 EST Fri, 03 Apr 2020, 04:02:05 EST Fri, 03 Apr 2020, 05:04:45 EST Sat, 25 Apr 2020, 02:31:45 EST Thu, 30 Apr 2020, 14:58:21 EST Thu, 30 Apr 2020, 15:00:26 EST Thu, 30 Apr 2020, 15:01:22 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 64 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 02 Apr 2020, 10:47:56 EST

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