Select Publications
Journal articles
2018, 'A comment on the limitations of UAVS in wildlife research – the example of colonial nesting waterbirds', Journal of Avian Biology, 49, http://dx.doi.org/10.1111/jav.01825
,2018, 'Seagrass ecosystem trajectory depends on the relative timescales of resistance, recovery and disturbance', Marine Pollution Bulletin, 134, pp. 166 - 176, http://dx.doi.org/10.1016/j.marpolbul.2017.09.006
,2018, 'Linking trophic cascades to changes in desert dune geomorphology using high-resolution drone data', Journal of the Royal Society Interface, http://dx.doi.org/10.1098/rsif.2018.0327
,2018, 'Seagrass habitat mapping: How do landsat 8 OLI, sentinel-2, ZY-3A, and worldview-3 perform?', Remote Sensing Letters, 9, pp. 686 - 695, http://dx.doi.org/10.1080/2150704X.2018.1468101
,2018, 'A novel framework for the use of remote sensing for monitoring catchments at continental scales', Journal of Environmental Management, 217, pp. 939 - 950, http://dx.doi.org/10.1016/j.jenvman.2018.03.058
,2018, 'The effects of local and landscape habitat attributes on bird diversity in urban greenspaces', Ecosphere, 9, http://dx.doi.org/10.1002/ecs2.2347
,2018, 'When rare species are not important: Linking plot-based vegetation classifications and landscape-scale mapping in Australian savanna vegetation', Community Ecology, 19, pp. 67 - 76, http://dx.doi.org/10.1556/168.2018.19.1.7
,2018, 'Use of a semi-automated object based analysis to map benthic composition, Heron Reef, Southern Great Barrier Reef', Remote Sensing Letters, 9, pp. 324 - 333, http://dx.doi.org/10.1080/2150704X.2017.1420927
,2018, 'A comparison of resampling methods for remote sensing classification and accuracy assessment', Remote Sensing of Environment, 208, pp. 145 - 153, http://dx.doi.org/10.1016/j.rse.2018.02.026
,2018, 'The role of satellite remote sensing in structured ecosystem risk assessments', Science of the Total Environment, 619-620, pp. 249 - 257, http://dx.doi.org/10.1016/j.scitotenv.2017.11.034
,2018, 'Bird interactions with drones, from individuals to large colonies', Australian Field Ornithology, 35, pp. 51 - 56, http://dx.doi.org/10.20938/afo35051056
,2017, 'Assessing the reliability of avian biodiversity measures of urban greenspaces using ebird citizen science data', Avian Conservation and Ecology, 12, http://dx.doi.org/10.5751/ACE-01104-120212
,2017, 'Simultaneous vegetation classification and mapping at large spatial scales', Journal of Biogeography, 44, pp. 2891 - 2902, http://dx.doi.org/10.1111/jbi.13088
,2017, 'Ecological grouping of survey sites when sampling artefacts are present', Journal of the Royal Statistical Society. Series C: Applied Statistics, 66, pp. 1031 - 1047, http://dx.doi.org/10.1111/rssc.12211
,2017, 'Seagrass morphometrics at species level in Moreton Bay, Australia from 2012 to 2013', Scientific Data, 4, http://dx.doi.org/10.1038/sdata.2017.60
,2016, 'Three points to consider when choosing a LM or GLM test for count data', Methods in Ecology and Evolution, 7, pp. 882 - 890, http://dx.doi.org/10.1111/2041-210X.12552
,2016, 'Model-based assessment of ecological community classifications', Journal of Vegetation Science, 27, pp. 704 - 715, http://dx.doi.org/10.1111/jvs.12400
,2016, 'Reliability of map accuracy assessments: A comment on Hunter et al. (2016)', Ecological Management and Restoration, 17, pp. 124 - 127, http://dx.doi.org/10.1111/emr.12213
,2015, 'Unravelling complexity in seagrass systems for management: Australia as a microcosm', Science of the Total Environment, 534, pp. 97 - 109, http://dx.doi.org/10.1016/j.scitotenv.2015.04.061
,2015, 'Rapid monitoring of seagrass biomass using a simple linear modelling approach, in the field and from space', Marine Ecology Progress Series, 530, pp. 1 - 14, http://dx.doi.org/10.3354/meps11321
,2015, 'Integrating field survey data with satellite image data to improve shallow water seagrass maps: The role of AUV and snorkeller surveys?', Remote Sensing Letters, 6, pp. 135 - 144, http://dx.doi.org/10.1080/2150704X.2015.1013643
,2014, 'Bringing an ecological view of change to landsat-based remote sensing', Frontiers in Ecology and the Environment, 12, pp. 339 - 346, http://dx.doi.org/10.1890/130066
,2014, 'Multi-temporal mapping of seagrass cover, species and biomass: A semi-automated object based image analysis approach', Remote Sensing of Environment, 150, pp. 172 - 187, http://dx.doi.org/10.1016/j.rse.2014.05.001
,2013, 'Challenges of remote sensing for quantifying changes in large complex seagrass environments', Estuarine, Coastal and Shelf Science, 133, pp. 161 - 171, http://dx.doi.org/10.1016/j.ecss.2013.08.026
,2013, 'Coastal retreat and improved water quality mitigate losses of seagrass from sea level rise', Global Change Biology, 19, pp. 2569 - 2583, http://dx.doi.org/10.1111/gcb.12218
,2013, 'Using multilevel models to identify drivers of landscape-genetic structure among management areas', Molecular Ecology, 22, pp. 3752 - 3765, http://dx.doi.org/10.1111/mec.12359
,2013, 'Towards understanding temporal and spatial dynamics of seagrass landscapes using time-series remote sensing', Estuarine, Coastal and Shelf Science, 120, pp. 42 - 53, http://dx.doi.org/10.1016/j.ecss.2013.01.015
,2013, 'Mapping coral reef resilience indicators using field and remotely sensed data', Remote Sensing, 5, pp. 1311 - 1334, http://dx.doi.org/10.3390/rs5031311
,2012, 'Long term land cover and seagrass mapping using Landsat and object-based image analysis from 1972 to 2010 in the coastal environment of South East Queensland, Australia', ISPRS Journal of Photogrammetry and Remote Sensing, 71, pp. 34 - 46, http://dx.doi.org/10.1016/j.isprsjprs.2012.05.002
,2011, 'Mapping fish community variables by Integrating field and satellite data, object-based image analysis and modeling in a traditional Fijian fisheries management area', Remote Sensing, 3, pp. 460 - 483, http://dx.doi.org/10.3390/rs3030460
,2011, 'Integrating Quickbird multi-spectral satellite and field data: Mapping bathymetry, seagrass cover, seagrass species and change in Moreton Bay, Australia in 2004 and 2007', Remote Sensing, 3, pp. 42 - 64, http://dx.doi.org/10.3390/rs3010042
,2011, 'Intercomparison of shallow water bathymetry, hydro-optics, and benthos mapping techniques in Australian and Caribbean coastal environments', Limnology and Oceanography: Methods, 9, pp. 396 - 425, http://dx.doi.org/10.4319/lom.2011.9.396
,Conference Papers
2010, 'Long term monitoring of seagrass distribution in moreton bay, Australia, from 1972-2010 using landsat MSS, TM, ETM+', in International Geoscience and Remote Sensing Symposium (IGARSS), pp. 5 - 8, http://dx.doi.org/10.1109/IGARSS.2010.5651878
,Reports
2019, Tracking the Flow Water Pilot Technology Program Final Report
,2019, Murray‒Darling Basin Environmental Water Knowledge and Research Project — Waterbird Theme Research Report
,2017, Commonwealth Environmental Water Office Long Term Intervention Monitoring Project: Lower Lachlan river system Selected Area 2016-17 Monitoring and Evaluation Report
,Media
2021, The Conversation, https://theconversation.com/the-dingo-fence-from-space-satellite-images-show-how-these-top-predators-alter-the-desert-155642
,Preprints
2024, Reproducing within-reef variability in coral dynamics with a metacommunity modelling framework, http://dx.doi.org/10.1101/2024.01.21.576579
,2022, Fire frequency and severity mediate recruitment success of a threatened shrub following a megafire, http://dx.doi.org/10.21203/rs.3.rs-1801417/v1
,2020, Reef Cover: a coral reef classification to guide global habitat mapping from remote sensing, http://dx.doi.org/10.1101/2020.09.10.292243
,2020, Drone-derived canopy height predicts biomass across non-forest ecosystems globally, http://dx.doi.org/10.1101/2020.07.16.206011
,2020, Automated Inundation History Mapping over Large Areas using Landsat and Google Earth Engine, http://dx.doi.org/10.20944/preprints202003.0038.v1
,2019, Monitoring large and complex wildlife aggregations with drones, http://dx.doi.org/10.32942/osf.io/w247h
,2017, Bird interactions with drones, from individuals to large colonies, http://dx.doi.org/10.1101/109926
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