2015-2011
Journal Articles
2015
Avitabile, V., Herold, M., Heuvelink, G.B.M., Lewis, S.L., Phillips, O.L., Asner, G.P., Armston, J., Asthon, P., Banin, L.F., Bayol, N., Berry, N., Boeckx, P., de Jong, B., DeVries, B., Girardin, C., Kearsley, E., Lindsell, J.A., Lopez-Gonzalez, G., Lucas, R., Malhi, Y., Morel, A., Mitchard, E., Nagy, L., Qie, L., Quinones, M., Ryan, C.M., Slik, F., Sunderland, T., Vaglio Laurin, G., Valentini, R., Verbeeck, H., Wijaya, A., & Willcock, S. (2015). An integrated pan-tropical biomass map using multiple reference datasets. Global Change Biology, 22, 1406-1420. doi: 10.1111/gcb.13139.
Calders, K., Newnham, G., Burt, A., Murphy, S., Raumonen, P., Herold, M., Culvenor, D., Avitabile, V., Disney, M., Armston, J., & Kaasalainen, M. (2015). Nondestructive estimates of above-ground biomass using terrestrial laser scanning. Methods in Ecology and Evolution, 6, 198-208. doi: 10.1111/2041-210X.12301.
Calders, K., Schenkels, T., Bartholomeus, H., Armston, J., Verbesselt, J., & Herold, M. (2015). Monitoring spring phenology with high temporal resolution terrestrial LiDAR measurements. Agricultural and Forest Meteorology, 203, 158-168. doi: 10.1016/j.agrformet.2015.01.009.
Guerschman, J.P., Scarth, P.F., McVicar, T.R., Renzullo, L.J., Malthus, T.J., Stewart, J.B., Rickards, J.E., & Trevithick, R. (2015). Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data. Remote Sensing of Environment, 161, 12-26. doi: 10.1016/j.rse.2015.01.021.
Hancock, S., Armston, J., Li, Z., Gaulton, R., Lewis, P., Disney, M., Mark Danson, F., Strahler, A., Schaaf, C., Anderson, K., & Gaston, K.J. (2015). Waveform lidar over vegetation: An evaluation of inversion methods for estimating return energy. Remote Sensing of Environment, 164, 208-224. doi: 10.1016/j.rse.2015.04.013.
Lucas, R., Mitchell, A., & Armston, J. (2015). Measurement of Forest Above-Ground Biomass Using Active and Passive Remote Sensing at Large (Subnational to Global) Scales. Current Forestry Reports, 1, 162-177. doi: 10.1007/s40725-015-0021-9.
Newnham, G., Armston, J., Calders, K., Disney, M., Lovell, J., Schaaf, C., Strahler, A., & Danson, F.M. (2015). Terrestrial Laser Scanning for Plot-Scale Forest Measurement. Current Forestry Reports, 1, 239-251. doi: 10.1007/s40725-015-0025-5.
Scarth, P., Armston, J., Flood, N., Denham, R., Collett, L., Watson, F., Trevithick, B., Muir, J., Goodwin, N., Tindall, D., & Phinn, S. (2015). Operational Application of the LandSat Timeseries to Address large Area Landcover Understanding. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W3, 571-575. doi: 10.5194/isprsarchives-XL-3-W3-571-2015.
Schmidt, M., Lucas, R., Bunting, P., Verbesselt, J., & Armston, J. (2015). Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia. Remote Sensing of Environment, 158, 156-168. doi: doi:10.1016/j.rse.2014.11.015
Woodgate, W., Disney, M., Armston, J.D., Jones, S.D., Suarez, L., Hill, M.J., Wilkes, P., Soto-Berelov, M., Haywood, A., & Mellor, A. (2015). An improved theoretical model of canopy gap probability for Leaf Area Index estimation in woody ecosystems. Forest Ecology and Management, 358, 303-320. doi: 10.1016/j.foreco.2015.09.030.
Woodgate, W., Jones, S.D., Suarez, L., Hill, M.J., Armston, J.D., Wilkes, P., Soto-Berelov, M., Haywood, A., & Mellor, A. (2015). Understanding the variability in ground-based methods for retrieving canopy openness, gap fraction, and leaf area index in diverse forest systems. Agricultural and Forest Meteorology, 205, 83-95. doi: 10.1016/j.agrformet.2015.02.012
2014
Calders, K., Armston, J., Newnham, G., Herold, M., & Goodwin, N. (2014). Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR. Agricultural and Forest Meteorology, 194, 104-117; doi: http://dx.doi.org/10.1016/j.agrformet.2014.03.022.
Calders, K., Newnham, G., Burt, A., Murphy, S., Raumonen, P., Herold, M., Culvenor, D., Avitabile, V., Disney, M., Armston, J., & Kaasalainen, M. (2014). Nondestructive estimates of above-ground biomass using terrestrial laser scanning. Methods in Ecology and Evolution. doi: 10.1111/2041-210X.12301.
Chen, X.T., Disney, M.I., Lewis, P., Armston, J., Han, J.T., & Li, J.C. (2014). Sensitivity of direct canopy gap fraction retrieval from airborne waveform lidar to topography and survey characteristics. Remote Sensing of Environment, 143, 15-25; doi: 10.1016/j.rse.2013.12.010. Open Access
Clewley, D., Bunting, P., Shepherd, J., Gillingham, S., Flood, N., Dymond, J., Lucas, R., Armston, J., & Moghaddam, M. (2014). A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables. Remote Sensing, 6, 6111-6135. doi: 10.3390/rs6076111. Open Access
Fisher, A. (2014). Cloud and Cloud-Shadow Detection in SPOT5 HRG Imagery with Automated Morphological Feature Extraction. Remote Sensing, 6(1), 776-800; doi: 10.3390/rs6010776. Open Access
Flood, N. (2014). Continuity of Reflectance Data between Landsat-7 ETM+ and Landsat-8 OLI, for Both Top-of-Atmosphere and Surface Reflectance: A Study in the Australian Landscape. Remote Sensing, 6, 7952-7970. doi:10.3390/rs6097952. Open Access
Kennedy, R.E., Andréfouët, S., Cohen, W.B., Gómez, C., Griffiths, P., Hais, M., Healey, S.P., Helmer, E.H., Hostert, P., Lyons, M.B., Meigs, G.W., Pflugmacher, D., Phinn, S.R., Powell, S.L., Scarth, P., Sen, S., Schroeder, T.A., Schneider, A., Sonnenschein, R., Vogelmann, J.E., Wulder, M.A., & Zhu, Z. (2014). Bringing an ecological view of change to Landsat-based remote sensing. Frontiers in Ecology and the Environment. doi: 10.1890/130066.
Lucas, R.M., Clewley, D., Accad, A., Butler, D., Armston, J., Bowen, M., Bunting, P., Carreiras, J., Dwyer, J., Eyre, T., Kelly, A., McAlpine, C., Pollock, S., & Seabrook, L. (2014). Mapping forest growth and degradation stage in the Brigalow Belt Bioregion of Australia through integration of ALOS PALSAR and Landsat-derived foliage projective cover data. Remote Sensing of Environment, 155, 42-57. doi: 10.1016/j.rse.2013.11.025.
Schmidt, M., Lucas, R., Bunting, P., Verbesselt, J. & Armston, J. (2015). Multi-resolution time series imagery for forest disturbance and regrowth monitoring in Queensland, Australia. Remote Sensing of Environment, 158(0): 156-168. doi:10.1016/j.rse.2014.11.015.
2013
Armston, J., Disney, M., Lewis, P., Scarth, P., Phinn, S., Bunting, P., Lucas, R., & Goodwin, N. (2013). Direct retrieval of canopy gap probability using airborne waveform lidar. Remote Sensing of Environment. 134, 24-38. http://dx.doi.org/10.1016/j.rse.2013.02.021
Bunting, P., Armston, J., Lucas, R., & Clewley, D. (2013). Sorted Pulse Data (SPD) Library. Part I: A generic file format for LiDAR data from pulsed laser systems in terrestrial environments. Computers & Geosciences. 56, 197-206. http://dx.doi.org/10.1016/j.cageo.20
Bunting, P., Armston, J., Clewley, D., & Lucas, R. (2013). Sorted Pulse Data (SPD) Library. Part II: A processing framework for LiDAR data from pulsed laser systems in terrestrial environments. Computers & Geosciences. 56, 207-215. http://dx.doi.org/10.1016/j.cageo.2013.01.010.
Ediriweera, S., Pathirana, S., Danaher, T., Nichols, D., & Moffiet, T. (2013). Evaluation of Different Topographic Corrections for Landsat TM Data by Prediction of Foliage Projective Cover (FPC) in Topographically Complex Landscapes. Remote Sensing, 5, 6767-6789. doi:10.3390/rs5126767. Open Access
Fisher, A. & Danaher, T. (2013). A Water Index for SPOT5 HRG Satellite Imagery, New South Wales, Australia, Determined by Linear Discriminant Analysis. Remote Sensing, 5(11), 5907-5925; doi:10.3390/rs5115907. Open Access
Flood, N. (2013). Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-Dimensional Median). Remote Sensing, 5(12), 6481-6500. doi: 10.3390/rs5126481. Open Access
Flood, N. (2013). Testing the local applicability of MODIS BRDF parameters for correcting Landsat TM imagery. Remote Sensing Letters, 4(8), 793-802. doi: 10.1080/2150704X.2013.798709
Flood, N., Danaher, T., Gill, T. & Gillingham, S. (2013). An Operational Scheme for Deriving Standardised Surface Reflectance from Landsat TM/ETM+ and SPOT HRG Imagery for Eastern Australia. Remote Sensing, 5(1), 83-109. doi:10.3390/rs5010083. Open Access
Gillingham, S.S., Flood, N. & Gill, T.K. (2013). On determining appropriate Aerosol Optical Depth values for atmospheric correction of satellite imagery for Biophysical Parameter Retrieval: requirements and limitations under Australian conditions. International Journal of Remote Sensing, 6, 2089-2100. doi:10.1080/01431161.2012.738945
Goodwin, N., Collett, L.J., Denham, R.J., Flood, N., & Tindall, D. (2013). Cloud and Cloud Shadow Screening Across Queensland, Australia: An Automated Method for Landsat TM/ETM+ Time Series. Remote Sensing of Environment, 134, 50-65. doi:10.1016/j.rse.2013.02.019.
Johansen, K., Grove, J., Denham, R., & Phinn, S. (2013). Assessing stream bank condition using airborne lidar and high spatial resolution image data in temperate semirural areas in Victoria, Australia. Journal of Applied Remote Sensing, 71), 073492-073492. doi: 10.1117/1.JRS.7.073492.
2012
Bastin, G., Scarth, P., Chewings, V., Sparrow, A., Denham, R., Schmidt, M. & O'Reagain, P. (2012). Separating grazing and rainfall effects at regional scale using remote sensing imagery: A dynamic reference-cover method. Remote Sensing of Environment, 121, 443-457. doi:10.1016/j.rse.2012.02.021
Bhandari, S., Phinn, S. & Gill, T. (2012). Preparing Landsat Image Time Series (LITS) for monitoring changes in vegetation phenology in Queensland, Australia. Remote Sensing, 4, 1856-1886. doi:10.3390/rs4061856.
Clewley, D., Lucas, R., Accad, A., Armston, J., Bowen, M., Dwyer, J., Pollock, S., Bunting, P., McAlpine, C., Eyre, T., Kelly, A., Carreiras, J. & Moghaddam, M. (2012). An Approach to Mapping Forest Growth Stages in Queensland, Australia through Integration of ALOS PALSAR and Landsat Sensor Data. Remote Sensing, 4, 2236-2255. doi:10.3390/rs4082236
Gill, T. K. , Danaher, T. , Gillingham, S. S. & Mitchell, R. M. (2012). Comparing bright-target surface spectral-reflectance estimates obtained from IRS P6 LISS III to those obtained from Landsat 5 TM and Landsat 7 ETM+. Remote Sensing Letters, 3(2), 121-130. doi:10.1080/01431161.2010.543180.
Gillingham, S. S., Flood, N., Gill, T. & Mitchell, R. M. (2012). Limitations of the dense dark vegetation method for aerosol retrieval under Australian conditions. Remote Sensing Letters, 2012, 3(1) 67-76. doi: 10.1080/01431161.2010.533298.
Lindenmayer, D. B., Likens, G. E., Andersen, A., Bowman, D., Bull, C. M., Burns, E., Dickman, C. R., Hoffmann, A. A., Keith, D. A., Liddell, M. J., Lowe, A. J., Metcalfe, D. J., Phinn, S. R., Russell-Smith, J., Thurgate, N. & Wardle, G. M. (2012). Value of long-term ecological studies. Austral Ecology, doi:10.1111/j.1442-9993.2011.02351.x.
Lyons, M. B., Phinn, S. R. & Roelfsema, C. M. (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, 34-46. doi:10.1016/j.isprsjprs.2012.05.002
Shoo, L. P., Scarth, P., Schmidt, S. & Wilson, K. A. (2012). Reclaiming Degraded Rainforest: A Spatial Evaluation of Gains and Losses in Subtropical Eastern Australia to Inform Future Investment in Restoration. Restoration Ecology, doi:10.1111/j.1526-100X.2012.00916.x
2011
Bhandari, S., Phinn, S.R. & Gill, T. (2011). Assessing viewing and illumination geometry effects on the MODIS vegetation index (MOD13Q1) time series: implications for monitoring phenology and disturbances in forest communities in Queensland, Australia. International Journal of Remote Sensing. doi:10.1080/01431161.2010.524675
Johansen, K., Tiede, D., Blaschke, T., Arroyo, L. A. & Phinn, S. (2011). Automatic Geographic Object Based Mapping of Streambed and Riparian Zone Extent from LiDAR Data in a Temperate Rural Urban Environment, Australia. Remote Sensing, 3, 1139-1156. doi:10.3390/rs3061139
Lewis, D. & Phinn, S.R. (2011). Accuracy assessment of vegetation community maps generated by aerial photography interpretation in a tropical savanna environment, Northern Territory, Australia. Journal of Applied Remote Sensing, 5(1), 053565-053565. doi:10.1117/1.3662885.
Conference Papers
Armston, J., Scarth, P., Lucas, R., Lewis, P., Disney, M., Phinn, S. (2015). Validation of continental scale vertical plant profile mapping using waveform lidar airborne laser scanning. Silvilaser 2015, La Grande Motte, France, 28-30 September.
Fisher, A., Day, M., Gill, T., Danaher, T. and Roff, A. (2015). Assessing a high-resolution woody vegetation map of New South Wales, Australia. Silvilaser 2015, La Grande Motte, France, 28-30 September.
Gibson, R., Horn, T. Gill, R. Denham, F. Watson, and R. Grant. (2015). “Approaches to Validating Satellite Imagery Products of Woody Vegetation Thickening Using Aerial Photograph Interpretation: Methods and Preliminary Results.” In Proceedings of the Australian Rangeland Society’s 18th Biennial Conference. Alice Springs, Australia.
Gill, T., G. Horn, H. Collerton, R. Grant, A. Hanson, and N. Flood. (2015). “Identification of Refugia in Western NSW.” In Proceedings of the Australian Rangeland Society’s 18th Biennial Conference. Alice Springs, Australia.
Tindall, D., Scarth, P., Carter, J., Trevithick, R., Armston, J., Witte, C., Flood, N., Denham, R., Watson, F., Schmidt, M., Muir, J., Phinn, S., Danaher, T., Gill, T., Lucas, R., Barnetson, J. & Staben, G. (2015). Application of remote sensing for mapping and monitoring rangeland condition. 18th Biennial Conference, "Innovation in the Rangelands", Alice Springs, NT, April 12-16, 2015.
Fisher, A.G. & Hesse, P. (2014). Climate, vegetation and the stability of longitudinal dunes: insights from Landsat TM/ETM+ derived fractional cover. Australasian Quaternary Association (AQUA) Biennial Meeting, Mildura, 29 June – 4 July.
Armston, J., Scarth, P., Mathias, D., Phinn, S.R. & Lucas, R. (2012). Estimation of foliage projective cover, leaf area index and crown cover from airborne Lidar across multiple bioregions in Australia, In: Proceedings of the XXII Congress of the InternationalPhotogrammetry and Remote Sensing Society 2012, Melbourne, Australia, 25 Aug – 1 Sept 2012.
Armston, J., Scarth, P., Disney, M., Phinn, S., Lucas, R., Bunting, P., & Goodwin, N. (2012). Estimation of foliage projective cover, leaf area index and crown cover from airborne lidar across multiple bioregions in eastern Australia. XXII Congress of the International Society for Photogrammetry & Remote Sensing, August 25 - September 1.
Calders, K., Lewis, P. Disney, M. Verbesselt, J., Armston, J., & Herold, M. (2012). Effects of clumping on modelling lidar waveforms in forest canopies, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2012, 22-27 July, 2012 - Munich, Germany.
Johansen, K., Gill, T., Trevithick, R., Armston, J., Scarth, P. &Phinn, S.R. (2012). Validation of Landsat based Time-Series of Persistent Green-Vegetation Fraction for Australia, In: Proceedings of the XXII Congress of the International Photogrammetry and Remote Sensing Society 2012, Melbourne, Australia, 25 Aug – 1 Sept 2012.
Johansen, K., Gill, T., Scarth, P. & Phinn, S.R. (2012). Landsat based Time-Series of Perennial Foliage Projective Cover of Australia, In: Proceedings of the XXII Congress of the International Photogrammetry and Remote Sensing Society 2012, Melbourne, Australia, 25 Aug – 1 Sept 2012.
Mellor, A., Haywood, A., Jones, S., & Wilkes, P. (2012). Forest Classification using Random forests with multisource remote sensing and ancillary GIS data. 16th Australian Remote Sensing and Photogrammetry Conference. Melbourne.
Mellor, A., Jones, S., Haywood, A., & Wilkes, P. (2012). Using random forest decision tree classification for large area forest extent mapping with multi-source remote sensing and GIS data. Forestsat. Corvallis.
Mellor, A., Armston, J., Haywood, A., Culvenor, D., Phinn, S., Scarth, P. & Lucas, R. (2012). Collaborative research to achieve common goals: Calibration and validation of large-area optical remote sensing products using active sensors. SilviLaser 2012.
Phinn S.R., Scarth, P., Armston, J., Witte, C., Danaher, N., Flood, T., Gill, R., & Lucas, R. (2012). Quantifying Vegetation Composition, Structure and Dynamics in Selected Australian Ecosystems: Science to Management. AGU Fall Meeting Abstracts 1, 0579.
Schoettker, B., Searle, R., Schmidt, M., Scarth, P. & Phinn, S.R. (2012). High temporal frequency biophysical and structural vegetation information from multiple remote sensing sensors can support modelling of event based hillslope erosion in Queensland, In: Proceedings of the XXII Congress of the International Photogrammetry and Remote Sensing Society 2012, Melbourne, Australia, 25 Aug – 1 Sept 2012.
Armston, J., Disney, M., Lewis, P., Scarth, P., Bunting, P., Lucas, R., Phinn, S. & Goodwin, N. (2011). Comparison of discrete return and waveform airborne lidar derived estimates of fractional cover in an Australian savanna, (eds). Hobart, Conference Secretariat. 1-13.
Bunting, P., Armston, J., Clewley, D. & Lucas, R. (2011). The Sorted Pulse Data Software Library (SPDLib): open source tools for processing LiDAR data, (eds). Hobart, Conference Secretariat. 1-11.
Bunting, P., Armston, J., Lucas, R. & Clewley, D. (2011). Sorted Pulse Data (SPD) Format: a new file structure for storing and processing LiDAR data, (eds). Hobart, Conference Secretariat. 1-10.
Fisher, AG & Danaher, T (2011). Automating woody vegetation change detection at regional scales: the problem of clouds and cloud shadows. 34th International Symposium on Remote Sensing of Environment, Sydney, Australia, April 2011.
Gill, T., Scarth, P., Danaher, T., Gillingham, S. & Phinn, S. (2011). An assessment of satellite image data requirements for large area land cover monitoring in Queensland. In: Surveying and Spatial Sciences Institute Biennial International Conference (SSC2009), (pp. 755-770). Surveying and Spatial Sciences Institute.
Phinn, S.R., Scarth, P., Armston, J., Witte, C., Danaher, T., Flood, N., Gill, T., Lucas, R. & Speirs, J. (2011). Quantifying Vegetation Composition, Structure and Dynamics in Selected Australian Ecosystems: Science to Management In: Proceedings of the American Geophysical Union Fall Meeting, San Francisco, December 4-9.
Book Chapters
Gill, T., Johansen, K., Scarth, P., Armston, J., Trevithick, R. & Flood, N. (2015). Persistent Green Vegetation Fraction. In: A. Held, S. Phinn, M. Soto-Berelov, & S. Jones (Eds.), AusCover Good Practice Guidelines: A technical handbook supporting calibration and validation activities of remotely sensed data product (pp. 139-160). Version 1.2. TERN AusCover, ISBN 978-0-646-94137-0.
Phinn, S.R, Scarth, P., Witte, CV., Tindall, D., Danaher, T., Hicks, R., Gill, T., Mellor, A. & Johansen, K. (2015). Monitoring changes in Australia's ecosystems to support government monitoring and management, pp.60-63, In: Applications of Satellite Earth Observations: Serving Society, Science, & Industry, JAXA and CEOS, 2015.
Phinn, S.R, Held, A.A., Scarth, P., Gill, T., Paget, M., Nethery, N., Johansen, K. & Ross, J. (2015). Collaborative EO Application Development for Understanding and Managing Australia's Environment, pp. 56-59, In: Applications of Satellite Earth Observations: ServingSociety, Science, & Industry, JAXA and CEOS, 2015.
Armston, J., Disney, M., Lewis, P., Scarth, P., Bunting, P., Lucas, R., Phinn, S. & Goodwin, N. (2011). Comparison of discrete return and waveform airborne lidar derived estimates of fractional cover in an Australian savanna, (eds). Hobart, Conference Secretariat. 1-13.
Bunting, P., Armston, J., Clewley, D. & Lucas, R. (2011). The Sorted Pulse Data Software Library (SPDLib): open source tools for processing LiDAR data, (eds). Hobart, Conference Secretariat. 1-11.
Bunting, P., Armston, J., Lucas, R. & Clewley, D. (2011). Sorted Pulse Data (SPD) Format: a new file structure for storing and processing LiDAR data, (eds). Hobart, Conference Secretariat. 1-10.
Fisher, AG & Danaher, T (2011). Automating woody vegetation change detection at regional scales: the problem of clouds and cloud shadows. 34th International Symposium on Remote Sensing of Environment, Sydney, Australia, April 2011.
Gill, T., Scarth, P., Danaher, T., Gillingham, S. & Phinn, S. (2011). An assessment of satellite image data requirements for large area land cover monitoring in Queensland. In: Surveying and Spatial Sciences Institute Biennial International Conference (SSC2009), (pp. 755-770). Surveying and Spatial Sciences Institute.
Phinn, S.R., Scarth, P., Armston, J., Witte, C., Danaher, T., Flood, N., Gill, T., Lucas, R. & Speirs, J. (2011). Quantifying Vegetation Composition, Structure and Dynamics in Selected Australian Ecosystems: Science to Management In: Proceedings of the American Geophysical Union Fall Meeting, San Francisco, December 4-9.
Blaschke, T., Johansen, K., & Tiede, D. (2011). Object based image analysis for vegetation mapping and monitoring. In: Q. Weng (Ed.), Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications. CRC Press, Taylor and Francis. ISBN: 978-1-4200-9175-5.
