| Monitoring the composition of urban environments based on the vegetation-impervious surface-soil (VIS) model by subpixel analysis techniques S Phinn, M Stanford, P Scarth, AT Murray, PT Shyy International journal of remote sensing 23 (20), 4131-4153, 2002 | 464 | 2002 |
| Bringing an ecological view of change to Landsat‐based remote sensing RE Kennedy, S Andréfouët, WB Cohen, C Gómez, P Griffiths, M Hais, ... Frontiers in Ecology and the Environment 12 (6), 339-346, 2014 | 429 | 2014 |
| Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and … JP Guerschman, PF Scarth, TR McVicar, LJ Renzullo, TJ Malthus, ... Remote Sensing of Environment 161, 12-26, 2015 | 176 | 2015 |
| Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery JD Armston, RJ Denham, TJ Danaher, PF Scarth, TN Moffiet Journal of Applied Remote Sensing 3 (1), 033540, 2009 | 165 | 2009 |
| Direct retrieval of canopy gap probability using airborne waveform lidar J Armston, M Disney, P Lewis, P Scarth, S Phinn, R Lucas, P Bunting, ... Remote Sensing of Environment 134, 24-38, 2013 | 142 | 2013 |
| Mapping the multi-decadal mangrove dynamics of the Australian coastline L Lymburner, P Bunting, R Lucas, P Scarth, I Alam, C Phillips, C Ticehurst, ... Remote Sensing of Environment 238, 111185, 2020 | 113 | 2020 |
| Separating grazing and rainfall effects at regional scale using remote sensing imagery: A dynamic reference-cover method G Bastin, P Scarth, V Chewings, A Sparrow, R Denham, M Schmidt, ... Remote Sensing of Environment 121, 443-457, 2012 | 110 | 2012 |
| Tracking grazing pressure and climate interaction–the role of Landsat fractional cover in time series analysis P Scarth, A Roder, M Schmidt Proceedings of the 15th Australasian Remote Sensing and Photogrammetry …, 2010 | 105 | 2010 |
| An operational radiometric calibration procedure for the Landsat sensors based on pseudo-invariant target sites C De Vries, T Danaher, R Denham, P Scarth, S Phinn Remote Sensing of Environment 107 (3), 414-429, 2007 | 100 | 2007 |
| Land condition monitoring information for reef catchments: a new era RA Karfs, BN Abbott, PF Scarth, JF Wallace The Rangeland Journal 31 (1), 69-86, 2009 | 89 | 2009 |
| Determining forest structural attributes using an inverted geometric-optical model in mixed eucalypt forests, Southeast Queensland, Australia P Scarth, S Phinn Remote Sensing of Environment 71 (2), 141-157, 2000 | 83 | 2000 |
| Evaluation of six satellite-derived Fraction of Absorbed Photosynthetic Active Radiation (FAPAR) products across the Australian continent CA Pickett-Heaps, JG Canadell, PR Briggs, N Gobron, V Haverd, ... Remote Sensing of Environment 140, 241-256, 2014 | 80 | 2014 |
| Field measurement of fractional ground cover: a technical handbook supporting ground cover monitoring for Australia J Muir, M Schmidt, D Tindall, R Trevithick, P Scarth, JB Stewart Australian Bureau of Agricultural and Resource Economics and Sciences …, 2011 | 80 | 2011 |
| A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series T Gill, K Johansen, S Phinn, R Trevithick, P Scarth, J Armston International Journal of Remote Sensing 38 (3), 679-705, 2017 | 75 | 2017 |
| State of the paddock: monitoring condition and trend in groundcover across Queensland P Scarth, M Byrne, T Danaher, B Henry, R Hassett, J Carter, P Timmers Proc. of the 13th Australasian Remote Sensing Conference, 2006 | 71 | 2006 |
| Ecosystem function in savannas: Measurement and modeling at landscape to global scales MJ Hill, NP Hanan CRC Press, 2010 | 70 | 2010 |
| Living in a dynamic tropical forest landscape N Stork, SM Turton John Wiley & Sons, 2009 | 64 | 2009 |
| Analysis of multi-date MISR measurements for forest and woodland communities, Queensland, Australia JD Armston, PF Scarth, SR Phinn, TJ Danaher Remote Sensing of Environment 107 (1-2), 287-298, 2007 | 56 | 2007 |
| A structural classification of Australian vegetation using ICESat/GLAS, ALOS PALSAR, and Landsat sensor data P Scarth, J Armston, R Lucas, P Bunting Remote Sensing 11 (2), 147, 2019 | 53 | 2019 |
| Modelling LiDAR derived tree canopy height from Landsat TM, ETM+ and OLI satellite imagery—A machine learning approach G Staben, A Lucieer, P Scarth International Journal of Applied Earth Observation and Geoinformation 73 …, 2018 | 51 | 2018 |
Stuart PhinnProfessor of Geography, School of the Environment, University of QueenslandVerified email at uq.edu.au
