Select Publications
Journal articles
2024, 'Tracking landscape scale vegetation change in the arid zone by integrating ground, drone and satellite data', Remote Sensing in Ecology and Conservation, 10, pp. 374 - 387, http://dx.doi.org/10.1002/rse2.375
,2022, 'Assessing the Accuracy of Landsat Vegetation Fractional Cover for Monitoring Australian Drylands', Remote Sensing, 14, http://dx.doi.org/10.3390/rs14246322
,2022, 'Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission', Remote Sensing of Environment, 270, http://dx.doi.org/10.1016/j.rse.2021.112845
,2021, 'Refining medium resolution fractional cover for arid Australia to detect vegetation dynamics and wind erosion susceptibility on longitudinal dunes', Remote Sensing of Environment, 265, http://dx.doi.org/10.1016/j.rse.2021.112647
,2021, 'Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems', Remote Sens Ecol Conserv, n/a, http://dx.doi.org/10.1002/rse2.228
,2021, 'Remote sensing of trophic cascades: multi-temporal landsat imagery reveals vegetation change driven by the removal of an apex predator', Landscape Ecology, 36, pp. 1341 - 1358, http://dx.doi.org/10.1007/s10980-021-01206-w
,2020, 'Modelling canopy gap probability, foliage projective cover and crown projective cover from airborne lidar metrics in Australian forests and woodlands', Remote Sensing of Environment, 237, http://dx.doi.org/10.1016/j.rse.2019.111520
,2019, 'The response of vegetation cover and dune activity to rainfall, drought and fire observed by multitemporal satellite imagery', Earth Surface Processes and Landforms, 44, pp. 2957 - 2967, http://dx.doi.org/10.1002/esp.4721
,2019, 'Ultra-high spatial resolution fractional vegetation cover from unmanned aerial multispectral imagery', International Journal of Applied Earth Observation and Geoinformation, 78, pp. 14 - 24, http://dx.doi.org/10.1016/j.jag.2019.01.013
,2018, 'Relating foliage and crown projective cover in Australian tree stands', Agricultural and Forest Meteorology, 259, pp. 39 - 47, http://dx.doi.org/10.1016/j.agrformet.2018.04.016
,2017, 'Mapping trees in high resolution imagery across large areas using locally variable thresholds guided by medium resolution tree maps', International Journal of Applied Earth Observation and Geoinformation, 58, pp. 86 - 96, http://dx.doi.org/10.1016/j.jag.2017.02.004
,2016, 'Comparing Landsat water index methods for automated water classification in eastern Australia', Remote Sensing of Environment, 175, pp. 167 - 182, http://dx.doi.org/10.1016/j.rse.2015.12.055
,2016, 'Large-Area, High-Resolution Tree Cover Mapping with Multi-Temporal SPOT5 Imagery, New South Wales, Australia', Remote Sensing, 8, pp. 515 - 515, http://dx.doi.org/10.3390/rs8060515
,2016, 'Remote Sensing Measures Restoration Successes, but Canopy Heights Lag in Restoring Floodplain Vegetation', Remote Sensing, 8, pp. 542 - 542, http://dx.doi.org/10.3390/rs8070542
,2014, '26Al/10Be dating of an aeolian dust mantle soil in western New South Wales, Australia', Geomorphology, 219, pp. 201 - 212, http://dx.doi.org/10.1016/j.geomorph.2014.05.007
,2013, 'Cloud and cloud-shadow detection in SPOT5 HRG imagery with automated morphological feature extraction', Remote Sensing, 6, pp. 776 - 800, http://dx.doi.org/10.3390/rs6010776
,2013, 'A water index for SPOT5 HRG satellite imagery, New South Wales, Australia, determined by linear discriminant analysis', Remote Sensing, 5, pp. 5907 - 5925, http://dx.doi.org/10.3390/rs5115907
,Conference Papers
1998, 'Silcretes of Fowlers Gap station, western NSW, and their effect on the geomorphology of the region', in Geodiversity: Readings in Australian Geography at the Close of the 20th Century, School of Geography and Oceanography, on behalf of the Institute of Australian Geographers Conference, Canberra, presented at Institute of Australian Geographers Conference 1999, University of Notre Dame Australia, Fremantle, 29 June 1998 - 03 July 1998
,Conference Presentations
2020, 'Relating vegetation dynamics and dune morphology in the Strzelecki Desert', presented at A Windy Day Down Under (Online Aeolian Research Conference), 23 September 2020
,2018, 'Using satellite imagery to improve our understanding of longitudinal dunes as paleoclimate records', presented at Australasian Quaternary Association (AQUA) Biennial Meeting, Canberra, 10 December 2018 - 13 December 2018
,2017, 'Long-term land management effects on rangeland vegetation cover in the Strzelecki Desert', presented at The 37th International Symposium on Remote Sensing of Environment, Pretoria, South Africa, 08 May 2017 - 12 May 2017
,2017, 'Outcomes of the Fowlers Gap unmanned airborne vehicle workshop (2016), NSW, Australia', presented at The 37th International Symposium on Remote Sensing of Environment, Pretoria, South Africa, 08 May 2017 - 12 May 2017
,2015, 'Assessing a high-resolution woody vegetation map of New South Wales, Australia', presented at Silvilaser 2015, La Grande Motte, France, 28 September 2015 - 30 September 2015
,2014, 'Climate, vegetation and the stability of longitudinal dunes: insights from Landsat TM/ETM+ derived fractional cover', presented at Australasian Quaternary Association (AQUA) Biennial Meeting, Mildura, 29 June 2014 - 04 July 2014
,2008, 'Ancient landscapes of the western Canning Basin, north-western Australia: the significance of palaeovalleys in the modern landscape', presented at The 13th Australia and New Zealand Geomorphology Group Conference, Queenstown, Australia, 10 February 2008 - 15 February 2008
,Reports
2019, Tracking the Flow Water Pilot Technology Program Final Report
,Software / Code
2011, SICASM: Satellite Image Cloud and Shadow Masking, Python, Published: 2011, Software / Code, http://sicasm.sourceforge.net/
,Theses / Dissertations
2003, The geomorphic evolution of Australian stony deserts: an application of in situ- produced cosmogenic radionuclide analysis at the Fowler`s Gap Aris Zone Research Station
,Media
2021, The Conversation, https://theconversation.com/the-dingo-fence-from-space-satellite-images-show-how-these-top-predators-alter-the-desert-155642
,Preprints
2020, Drone-derived canopy height predicts biomass across non-forest ecosystems globally, http://dx.doi.org/10.1101/2020.07.16.206011
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