DEA Publications
This page is a list of academic articles, peer-reviewed presentations, and other publications for which at least one of the authors was a Digital Earth Australia colleague.
2026
Adame, MF, Kavehei, E, Dunn, B, Jackson, S, Duncan, P, Minjerribah-Moorgumpin Elders in Council, Cahill, J, Nadji, N, Brown, CJ & Lymburner, L 2026, ‘Improving wetland management through First Nations’ knowledge and a spatial visualisation tool’, Ambio, https://doi.org/10.1007/s13280-025-02326-2.
Bishop-Taylor, R, Sagar, S, Phillips, C & Newey, V 2026, ‘Optimising coastal tide predictions: an ensemble satellite altimetry and optical remote sensing approach’, International Journal of Remote Sensing, pp. 1-20, https://doi.org/10.1080/01431161.2026.2666912.
Ma, S, Li, Z & Taylor, JA 2026, ‘Landsat30-AU: a vision-language dataset for Australian Landsat imagery’, in S Koenig, C Jenkins & ME Taylor (eds), Fortieth AAAI Conference on Artificial Intelligence, Singapore, vol. 40, pp. 7809–17, https://doi.org/10.1609/aaai.v40i10.37724.
2025
Bishop-Taylor, R, Phillips, C, Sagar, S, Newey, V & Sutterley, T 2025, ‘eo-tides: tide modelling tools for large-scale satellite Earth observation analysis’, Journal of Open Source Software, vol. 10, no. 109, pp. 7786-98, https://doi.org/10.21105/joss.07786.
2024
Asbridge, E, Krause, C, Lucas, R, Owers, CJ, Rogers, K, Lymburner, L, Mueller, N, Ai, E & Wong, S 2024, ‘Characterising the short- and long-term impacts of tropical cyclones on mangroves using the Landsat archive’, Cambridge Prisms: Coastal Futures, vol. 3, https://doi.org/10.1017/cft.2024.19.
Bishop-Taylor, R, Phillips, C, Sagar, S & Newey, V 2024, ‘Time and tide: mapping the changing 3D shape of Australia’s coastline using petabytes of open satellite imagery’, in AGU24 Annual Meeting.
Byrne, G, Broomhall, M, Walsh, AJ, Thankappan, M, Hay, E, Li, F, McAtee, B, Garcia, R, Anstee, J, Kerrisk, G, Drayson, N, Barnetson, J, Samford, I & Denham, R 2024, ‘Validating Digital Earth Australia NBART for the Landsat 9 underfly of Landsat 8’, Remote Sensing, vol. 16, no. 7, https://doi.org/10.3390/rs16071233.
Lu, S, Jones, E, Zhao, L, Sun, Y, Qin, K, Liu, J, Li, J, Abeysekara, P, Mueller, N, Oliver, S, O’Hehir, J & Peters, S 2024, ‘Onboard AI for fire smoke detection using hyperspectral imagery: an emulation for the upcoming Kanyini Hyperscout-2 mission’, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 9629-40, https://doi.org/10.1109/JSTARS.2024.3394574.
Lymburner, L, Ticehurst, C, Adame, MF, Sengupta, A & Khavei, E 2024, ‘Seeing the floods through the trees: Using adaptive shortwave infrared thresholds to map inundation under wooded wetlands’, Hydrological Processes, vol. 38, no. 6, https://doi.org/10.1002/hyp.15174.
Mann, J, Maddox, E, Shrestha, M, Irwin, J, Czapla-Myers, J, Gerace, A, Rehman, E, Raqueno, N, Coburn, C, Byrne, G, Broomhall, M & Walsh, A 2024, ‘Landsat 8 and 9 underfly international surface reflectance validation collaboration’, Remote Sensing, vol. 16, no. 9, https://doi.org/10.3390/rs16091492.
Thankappan, M, Christopherson, J, Cantrell, S, Ryan, R, Pagnutti, M, Bright, C, Naughton, D, Ruslander, K, Wang, LW, Hudson, D, Shaw, J, Ramaseri Chandra, SN & Anderson, C 2024, ‘Concept of a satellite cross-calibration radiometer for in-orbit calibration of commercial optical satellites’, Remote Sensing, vol. 16, no. 8, https://doi.org/10.3390/rs16081333.
2023
Bishop-Taylor, R, Phillips, C, Sagar, S & Newey, V 2023, ‘Time and tide: a new pixel-based method for mapping dynamic intertidal topography’, in Coast to Coast 2023 Conference, Newcastle, Australia.
Dunn, B, Ai, E, Alger, MJ, Fanson, B, Fickas, KC, Krause, CE, Lymburner, L, Nanson, R, Papas, P, Ronan, M & Thomas, RF 2023, ‘Wetlands Insight Tool: characterising the surface water and vegetation cover dynamics of individual wetlands using multidecadal Landsat satellite data’, Wetlands, vol. 43, no. 4, https://doi.org/10.1007/s13157-023-01682-7.
Li, F, Jupp, DLB, Markham, BL, Lau, IC, Ong, C, Byrne, G, Thankappan, M, Oliver, S, Malthus, T & Fearns, P 2023, ‘Choice of solar spectral irradiance model for current and future remote sensing satellite missions’, Remote Sensing, vol. 15, no. 13, https://doi.org/10.3390/rs15133391.
Phillips, C, Bishop-Taylor, R, Sagar, S & Newey, V 2023, ‘Mapping and investigating exposure on Australia coastline using open-source satellite data’, in Coast to Coast 2023 Conference, Newcastle, Australia.
Sudmanns, M, Augustin, H, Killough, B, Giuliani, G, Tiede, D, Leith, A, Yuan, F & Lewis, A 2023, ‘Think global, cube local: an Earth Observation Data Cube’s contribution to the Digital Earth vision’, Big Earth Data, vol. 7, no. 3, pp. 831-59, https://doi.org/10.1080/20964471.2022.2099236.
2022
Broomhall, M, Byrne, G, Hay, E, Thankappan, M & Walsh, A 2022, ‘Validating Landsat and Sentinel-2 Analysis Ready Data with UAV-mounted spectrometers’, in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, pp. 7775-8, https://doi.org/10.1109/IGARSS46834.2022.9883977.
Cooperative Research Centre for Spatial Information, 2022, Earth observation: data, processing and applications, ed. BA Harrison, DLB Jupp, MM Lewis, BC Forster, N Mueller, S Phinn, I Coppa, D Hudson, C Smith, I Grant, J Anstee, AG Dekker, C Ong, I Lau, T Sparks, G Byrne, AG Dekker, R Gibson, G Bastin, R Thackway, EA King, A Huete, G Donald, M Lyons, & Q Xie, Australia and New Zealand CRC for Spatial Information, Melbourne, https://www.eoa.org.au/earth-observation-textbooks
Lucas, RM, German, S, Metternicht, G, Schmidt, RK, Owers, CJ, Prober, SM, Richards, AE, Tetreault-Campbell, S, Williams, KJ, Mueller, N, Tissott, B, Chua, SMT, Cowood, A, Hills, T, Gunawardana, D, McIntyre, A, Chognard, S, Hurford, C, Planque, C, Punalekar, S, Clewley, D, Sonnenschein, R, Murray, NJ, Manakos, I, Blonda, P, Owers, K, Roxburgh, S, Kay, H, Bunting, P & Horton, C 2022, ‘A globally relevant change taxonomy and evidence-based change framework for land monitoring’, Global Change Biology, vol. 28, no. 21, pp. 6293-317, https://doi.org/10.1111/gcb.16346.
Nanson, R, Bishop-Taylor, R, Sagar, S & Lymburner, L 2022, ‘Geomorphic insights into Australia’s coastal change using a national dataset derived from the multi-decadal Landsat archive’, Estuarine, Coastal and Shelf Science, vol. 265, https://doi.org/10.1016/j.ecss.2021.107712.
Owers, CJ, Lucas, RM, Clewley, D, Tissott, B, Chua, SMT, Hunt, G, Mueller, N, Planque, C, Punalekar, SM, Bunting, P, Tan, P & Metternicht, G 2022, ‘Operational continental-scale land cover mapping of Australia using the Open Data Cube’, International Journal of Digital Earth, vol. 15, no. 1, pp. 1715-37, https://doi.org/10.1080/17538947.2022.2130461.
Walsh, AJ, Byrne, G & Broomhall, M 2022, ‘A case study of measurement uncertainty in field spectroscopy’, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 6248-58, https://doi.org/10.1109/JSTARS.2022.3195120.
Wang, L-W, Garthwaite, M, Du, Z, Deane, A, McCubbine, J, Wheeler, M, O’Hehir, A & Davies, B 2022, ‘InSAR Analysis Ready Data’, in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, pp. 2920-3, https://doi.org/10.1109/IGARSS46834.2022.9884464.
Yuan, F, Repse, M, Leith, A, Rosenqvist, A, Milcinski, G, Moghaddam, NF, Dhar, T, Burton, C, Hall, L, Jorand, C & Lewis, A 2022, ‘An operational analysis ready radar backscatter dataset for the African continent’, Remote Sensing, vol. 14, no. 2, https://doi.org/10.3390/rs14020351.
2021
Bishop-Taylor, R, Nanson, R, Sagar, S & Lymburner, L 2021, ‘Mapping Australia’s dynamic coastline at mean sea level using three decades of Landsat imagery’, Remote Sensing of Environment, vol. 267, https://doi.org/10.1016/j.rse.2021.112734.
Forghani, A, Reddy, S, Thankappan, M & Cechet, B 2021, ‘Validation of MODIS and AVHRR fire detections in Australia’, International Journal of Geoinformatics, vol. 17, no. 3, pp. 117-31, https://doi.org/10.52939/ijg.v17i3.1907.
Krause, C, Dunn, B, Bishop-Taylor, R, Adams, C, Burton, CA, Alger, MJ, Chua, S, Phillips, C, Newey, V, Kouzoubov, K, Leith, A, Ayers, D & Hicks, A 2021, Digital Earth Australia notebooks and tools repository, Geoscience Australia, Canberra, https://doi.org/10.26186/145234.
Krause, CE, Newey, V, Alger, MJ & Lymburner, L 2021, ‘Mapping and monitoring the multi-decadal dynamics of Australia’s open waterbodies using Landsat’, Remote Sensing, vol. 13, no. 8, https://doi.org/10.3390/rs13081437.
Li, F, Jupp, DLB, Sagar, S & Schroeder, T 2021, ‘The impact of choice of solar spectral irradiance model on atmospheric correction of Landsat 8 OLI satellite data’, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 5, pp. 4094-104, https://doi.org/10.1109/TGRS.2020.3011006.
Li, F, Jupp, DLB, Schroeder, T, Sagar, S, Sixsmith, J & Dorji, P 2021, ‘Assessing an atmospheric correction algorithm for time series of satellite-based water-leaving reflectance using match-up sites in Australian coastal waters’, Remote Sensing, vol. 13, no. 10, https://doi.org/10.3390/rs13101927.
Nolde, M, Mueller, N, Strunz, G, Fichtner, F, Plank, S & Riedlinger, T 2021, ‘Wildfire extreme events: large-scale developments in fire activity of New South Wales, Australia’, in EGU General Assembly 2021, online, EGU21-8805, https://doi.org/10.5194/egusphere-egu21-8805.
Nolde, M, Mueller, N, Strunz, G & Riedlinger, T 2021, ‘Assessment of wildfire activity development trends for eastern Australia using multi-sensor earth observation data’, Remote Sensing, vol. 13, no. 24, https://doi.org/10.3390/rs13244975.
Owers, CJ, Lucas, RM, Clewley, D, Planque, C, Punalekar, S, Tissott, B, Chua, SMT, Bunting, P, Mueller, N & Metternicht, G 2021, ‘Living Earth: implementing national standardised land cover classification systems for Earth Observation in support of sustainable development’, Big Earth Data, vol. 5, no. 3, pp. 368-90, https://doi.org/10.1080/20964471.2021.1948179.
Yuan, F, Lewis, A, Leith, A, Dhar, T & Gavin, D 2021, ‘Analysis Ready Data for Africa’, in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 1789-91, https://doi.org/10.1109/IGARSS47720.2021.9554019.
2020
Berk, A, Jupp, D & Fuqin, L 2020, ‘MODTRAN®6 1 generated single scattering adjacency function’, in IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 6678-81, https://doi.org/10.1109/IGARSS39084.2020.9324495.
Botha, EJ, Anstee, JM, Sagar, S, Lehmann, E & Medeiros, TAG 2020, ‘Classification of Australian waterbodies across a wide range of optical water types’, Remote Sensing, vol. 12, no. 18, https://doi.org/10.3390/RS12183018.
Lymburner, L, Bunting, P, Lucas, R, Scarth, P, Alam, I, Phillips, C, Ticehurst, C & Held, A 2020, ‘Mapping the multi-decadal mangrove dynamics of the Australian coastline’, Remote Sensing of Environment, vol. 238, https://doi.org/10.1016/j.rse.2019.05.004.
Metternicht, G, Mueller, N & Lucas, R 2020, ‘Digital Earth for Sustainable Development Goals’, in H Guo, MF Goodchild & A Annoni (eds), Manual of Digital Earth, Springer Singapore, Singapore, pp. 443-71, https://https://doi.org/10.1007/978-981-32-9915-3_13.
Younes, N, Northfield, TD, Joyce, KE, Maier, SW, Duke, NC & Lymburner, L 2020, ‘A novel approach to modelling mangrove phenology from satellite images: a case study from Northern Australia’, Remote Sensing, vol. 12, no. 24, pp. 1-24, https://doi.org/10.3390/rs12244008.
2019
Bishop-Taylor, R, Sagar, S, Lymburner, L, Alam, I & Sixsmith, J 2019, ‘Sub-pixel waterline extraction: characterising accuracy and sensitivity to indices and spectra’, Remote Sensing, vol. 11, no. 24, https://doi.org/10.3390/rs11242984.
Bishop-Taylor, R, Sagar, S, Lymburner, L & Beaman, RJ 2019, ‘Between the tides: modelling the elevation of Australia’s exposed intertidal zone at continental scale’, Estuarine, Coastal and Shelf Science, vol. 223, pp. 115-28, https://doi.org/10.1016/j.ecss.2019.03.006.
Dhu, T, Guiliani, G, Juárez, J, Kavvada, A, Killough, B, Merodio, P, Minchin, S & Ramage, S 2019, ‘National Open Data Cubes and their contribution to country-level development policies and practices’, Data, vol. 4, no. 4, https://doi.org/10.3390/data4040144.
Dunn, B, Lymburner, L, Newey, V, Hicks, A & Carey, H 2019, ‘Developing a tool for wetland characterization using Fractional Cover, Tasseled Cap Wetness and Water Observations from Space’, in IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 6095-7, https://doi.org/10.1109/IGARSS.2019.8897806.
Hou, J, Van Dijk, AIJM, Renzullo, LJ, Vertessy, RA & Mueller, N 2019, ‘Hydromorphological attributes for all Australian river reaches derived from Landsat dynamic inundation remote sensing’, Earth System Science Data, vol. 11, no. 3, pp. 1003-15, https://doi.org/10.5194/essd-11-1003-2019.
Li, F, Jupp, D, Sagar, S & Schroeder, T 2019, ‘Atmospheric correction and water surface issues for aquatic applications of Landsat 8’, in IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 6899-902, https://doi.org/10.1109/IGARSS.2019.8899180.
Lucas, R, Mueller, N, Siggins, A, Owers, C, Clewley, D, Bunting, P, Kooymans, C, Tissott, B, Lewis, B, Lymburner, L & Metternicht, G 2019, ‘Land cover mapping using Digital Earth Australia’, Data, vol. 4, no. 4, https://doi.org/10.3390/data4040143.
Renzullo, LJ, Tian, S, Van Dijk, A, Rozas Larraondo, P, Yebra, M, Yuan, F & Mueller, N 2019, Burn extent and severity mapping by spectral anomaly detection in the Landsat Data Cube, in 23rd International Congress on Modelling and Simulation, Canberra, ACT, Australia, 1 to 6 December, https://mssanz.org.au/modsim2019.
Roberts, D, Wilford, J & Ghattas, O 2019, ‘Exposed soil and mineral map of the Australian continent revealing the land at its barest’, Nature Communications, vol. 10, no. 1, https://doi.org/10.1038/s41467-019-13276-1.
Ticehurst, C, Zhou, ZS, Lehmann, E, Yuan, F, Thankappan, M, Rosenqvist, A, Lewis, B & Paget, M 2019, ‘Building a SAR-enabled data cube capability in Australia using SAR Analysis Ready Data’, Data, vol. 4, no. 3, https://doi.org/10.3390/data4030100.
Wang, L-W, Li, F, Alam, I, Jupp, D, Oliver, S & Thankappan, M 2019, ‘Analysis Ready Data sensitivity analyses’, in IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 5642-5, https://doi.org/10.1109/IGARSS.2019.8898667.
Yuan, F, Ticehurst, C, Zhou, Z-S, Lehmann, E, Lewis, B, Rosenqvist, A, Chua, S & Mueller, N 2019, ‘Water mapping with SAR and Optical Data Cube’, in 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), pp. 1-4, https://doi.org/10.1109/APSAR46974.2019.9048521.
2018
Doxani, G, Vermote, E, Roger, JC, Gascon, F, Adriaensen, S, Frantz, D, Hagolle, O, Hollstein, A, Kirches, G, Li, F, Louis, J, Mangin, A, Pahlevan, N, Pflug, B & Vanhellemont, Q 2018, ‘Atmospheric correction inter-comparison exercise’, Remote Sensing, vol. 10, no. 2, https://doi.org/10.3390/rs10020352.
Ernst, S, Lymburner, L & Sixsmith, J 2018, ‘Implications of pixel quality flags on the observation density of a continental Landsat archive’, Remote Sensing, vol. 10, no. 10, https://doi.org/10.3390/rs10101570.
Gavin, D, Dhu, T, Sagar, S, Mueller, N, Dunn, B, Lewis, A, Lymburner, L, Minchin, S, Oliver, S, Ross, J & Thankappan, M 2018, ‘Digital Earth Australia - from satellite data to better decisions’, in IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 8633-5, https://doi.org/10.1109/IGARSS.2018.8518160.
Ong, C, Malthus, T, Lau, IC, Thankappan, M & Byrne, G 2018, ‘The development of a standardised validation approach for surface reflectance data’, in IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 6456-9, https://doi.org/10.1109/IGARSS.2018.8518624.
Roberts, D, Dunn, B & Mueller, N 2018, ‘Open Data Cube products using high-dimensional statistics of time series’, in IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 8647-50, https://doi.org/10.1109/IGARSS.2018.8518312.
Sagar, S, Phillips, C, Bala, B, Roberts, D & Lymburner, L 2018, ‘Generating continental scale pixel-based surface reflectance composites in coastal regions with the use of a multi-resolution tidal model’, Remote Sensing, vol. 10, no. 3, https://doi.org/10.3390/rs10030480.
2017
Dhu, T, Dunn, B, Lewis, B, Lymburner, L, Mueller, N, Telfer, E, Lewis, A, McIntyre, A, Minchin, S & Phillips, C 2017, ‘Digital Earth Australia–unlocking new value from earth observation data’, Big Earth Data, vol. 1, no. 1-2, pp. 64-74, https://doi.org/10.1080/20964471.2017.1402490.
Lewis, A, Oliver, S, Lymburner, L, Evans, B, Wyborn, L, Mueller, N, Raevksi, G, Hooke, J, Woodcock, R, Sixsmith, J, Wu, W, Tan, P, Li, F, Killough, B, Minchin, S, Roberts, D, Ayers, D, Bala, B, Dwyer, J, Dekker, A, Dhu, T, Hicks, A, Ip, A, Purss, M, Richards, C, Sagar, S, Trenham, C, Wang, P & Wang, LW 2017, ‘The Australian Geoscience Data Cube — foundations and lessons learned’, Remote Sensing of Environment, vol. 202, pp. 276-92, https://doi.org/10.1016/j.rse.2017.03.015.
Li, F, Jupp, DLB, Paget, M, Briggs, PR, Thankappan, M, Lewis, A & Held, A 2017, ‘Improving BRDF normalisation for Landsat data using statistical relationships between MODIS BRDF shape and vegetation structure in the Australian continent’, Remote Sensing of Environment, vol. 195, pp. 275-96, https://doi.org/10.1016/j.rse.2017.03.032.
Li, F, Jupp, DLB, Sagar, S, Wang, LW & Coghlan, R 2017, ‘Atmospheric correction for a Landsat and Sentinel-2 product over water surfaces’, in 22nd International Congress on Modelling and Simulation, Hobart, Tasmania, Australia, https://doi.org/doi.org/10.36334/modsim.2017.G9.li.
Roberts, D, Mueller, N & McIntyre, A 2017, ‘High-dimensional pixel composites from Earth Observation time series’, IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp. 6254-64, https://doi.org/10.1109/TGRS.2017.2723896.
Sagar, S, Roberts, D, Bala, B & Lymburner, L 2017, ‘Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations’, Remote Sensing of Environment, vol. 195, pp. 153-69, https://doi.org/10.1016/j.rse.2017.04.009.
2016
Hoare, A, Tan, KP, Stocker, C, Lawrie, K, Halas, L, Mueller, N, Symington, N, Brodie, RC, Tingey, W, Brodie, RS & Magee, J 2016, ‘Frontier groundwater investigations in the west Kimberley (Fitzroy) region: preliminary assessment of groundwater resource potential and the salinity hazard to proposed irrigation developments’, ASEG Extended Abstracts, vol. 2016, no. 1, pp. 1-7, https://doi.org/10.1071/ASEG2016ab287.
Lawrie, K, Brodie, RS, Magee, J, Tan, KP, Halas, L, Mueller, N, Lymburner, L & Christensen, NB 2016, ‘An inter-disciplinary approach to airborne electromagnetics (AEM) survey design for groundwater exploration using the Australian Geoscience Data Cube and Morphotectonics’, ASEG Extended Abstracts, vol. 2016, no. 1, pp. 1-7, https://doi.org/10.1071/ASEG2016ab401.
Lewis, A, Lymburner, L, Purss, MBJ, Brooke, B, Evans, B, Ip, A, Dekker, AG, Irons, JR, Minchin, S, Mueller, N, Oliver, S, Roberts, D, Ryan, B, Thankappan, M, Woodcock, R & Wyborn, L 2016, ‘Rapid, high-resolution detection of environmental change over continental scales from satellite data – the Earth Observation Data Cube’, International Journal of Digital Earth, vol. 9, no. 1, pp. 106-11, https://doi.org/10.1080/17538947.2015.1111952.
Li, F, Jupp, DLB, Thankappan, M, Wang, L-W, Lewis, A & Held, A 2016, ‘Evaluation of the TanDEM-X intermediate DEM for terrain illumination correction in Landsat data’, in 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 5366-9, https://doi.org/10.1109/IGARSS.2016.7730398.
Lymburner, L, Botha, E, Hestir, E, Anstee, J, Sagar, S, Dekker, A & Malthus, T 2016, ‘Landsat 8: Providing continuity and increased precision for measuring multi-decadal time series of total suspended matter’, Remote Sensing of Environment, vol. 185, pp. 108-18, https://doi.org/10.1016/j.rse.2016.04.011.
Mueller, N, Lewis, A, Roberts, D, Ring, S, Melrose, R, Sixsmith, J, Lymburner, L, McIntyre, A, Tan, P, Curnow, S & Ip, A 2016, ‘Water observations from space: mapping surface water from 25years of Landsat imagery across Australia’, Remote Sensing of Environment, vol. 174, pp. 341-52, https://doi.org/10.1016/j.rse.2015.11.003.
2015
Li, F, Jupp, DLB & Thankappan, M 2015, ‘Issues in the application of Digital Surface Model data to correct the terrain illumination effects in Landsat images’, International Journal of Digital Earth, vol. 8, no. 3, pp. 235-57, https://doi.org/10.1080/17538947.2013.866701.
Li, F, Jupp, DLB, Thankappan, M, Wang, LW, Sixsmith, J, Lewis, A & Held, A 2015, Land surface brightness temperature retrieved from Landsat data, 21st International Congress on Modelling and Simulation, Gold Coast, Australia.
Tan, P, Sagar, S, Mueller, N, Lymburner, L, Thankappan, M & Lewis, A 2015, ‘A surface cover change detection method based on the Australian Geoscience Data Cube’, in 21st International Congress on Modelling and Simulation, Gold Coast, Australia.
Before 2015
Guerschman, JP, Warren, G, Byrne, G, Lymburner, L, Mueller, N & Dijk, AV 2011, MODIS-based standing water detection for flood and large reservoir mapping: algorithm development and applications for the Australian continent, 1835-095X, National Research Flagships: Water for a Healthy Country, CSIRO Publishing, Canberra, Australia, https://doi.org/10.4225/08/58518bd176131.
Li, F, Jupp, DLB, Lymburner, L, Tan, P, McIntyre, A, Thankappan, M, Lewis, A & Held, A 2013, Characteristics of MODIS BRDF shape and its relationship with land cover classes in Australia, in 20th international congress on modelling and simulation, Adelaide, Australia.
Li, F, Jupp, DLB, Reddy, S, Lymburner, L, Mueller, N, Tan, P & Islam, A 2010, ‘An evaluation of the use of atmospheric and BRDF correction to standardize Landsat data’, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 3, no. 3, pp. 257-70, https://doi.org/10.1109/JSTARS.2010.2042281.
Li, F, Jupp, DLB, & Thankappan 2011, ‘Using high resolution DSM data to correct the terrain illumination effect in Landsat data’, in Proceedings of the 19th International Congress on Modelling and Simulation, Perth, Australia.
Li, F, Jupp, DLB, Thankappan, M, Lymburner, L, Mueller, N, Lewis, A & Held, A 2012, ‘A physics-based atmospheric and BRDF correction for Landsat data over mountainous terrain’, Remote Sensing of Environment, vol. 124, pp. 756-70, https://doi.org/10.1016/j.rse.2012.06.018.
Li, F, Jupp, DLB, Thankappan, M, Paget, M, Lewis, A & Held, A 2013, ‘The variability of satellite derived surface BRDF shape over Australia from 2001 to 2011’, in 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, pp. 255-8, https://doi.org/10.1109/IGARSS.2013.6721140.
Lymburner, L, McIntyre, A, Li, F, Ip, A, Thankappan, M & Sixsmith, J 2013, ‘Creating multi-sensor time series using data from Landsat-5 TM and Landsat-7 ETM+ to characterise vegetation dynamics’, in 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, pp. 961-3, https://doi.org/10.1109/IGARSS.2013.6721321.
Ravanbakhsh, M, Wang, LW, Fraser, CS & Lewis, A 2012, ‘Generation of the Australian geographic reference image through long-strip ALOS prism orientation’, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XXXIX-B1, pp. 225–9, doi.org/https://doi.org/10.5194/isprsarchives-XXXIX-B1-225-2012.
Sixsmith, J, Oliver, S & Lymburner, L 2013, ‘A hybrid approach to automated landsat pixel quality’, in 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, pp. 4146-9, https://doi.org/10.1109/IGARSS.2013.6723746.
Tan, P, Lymburner, L, Mueller, N, Li, F, Thankappan, M & Lewis, A 2013, ‘Applying machine learning methods and time series analysis to create a National Dynamic Land Cover Dataset for Australia’, in 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, pp. 4289-92, https://doi.org/10.1109/IGARSS.2013.6723782.