DEA program publications

Scientific articles, conference talks and other publications with Digital Earth Australia authors:

2023

Bishop-Taylor, R., Phillips, C., Sagar, S., Newey, V., 2023. Time and Tide: A new pixel-based method for mapping dynamic intertidal topography. Coast to Coast 2023 Conference, 30th Oct - 3rd November 2023, Newcastle, NSW.

Phillips, C., Bishop-Taylor, R., Sagar, S., Newey, V., 2023. Mapping and investigating exposure on Australia coastline using open-source satellite data. Coast to Coast 2023 Conference, 30th Oct - 3rd November 2023, Newcastle, NSW.

Dunn, B., Ai, E., Alger, M.J., Fanson, B., Fickas, K.C., Krause, C.E., Lymburner, L., Nanson, R., Papas, P., Ronan, M., Thomas, R.F., 2023. Wetlands Insight Tool: Characterising the Surface Water and Vegetation Cover Dynamics of Individual Wetlands Using Multidecadal Landsat Satellite Data. Wetlands 43, 37. https://doi.org/10.1007/s13157-023-01682-7

Li, F., Jupp, D.L.B., Markham, B.L., Lau, I.C., 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 Sens 15, 3391. https://doi.org/10.3390/rs15133391

2022

Christopher J. Owers, Richard M. Lucas, Daniel Clewley, Belle Tissott, Sean M. T. Chua, Gabrielle Hunt, Norman Mueller, Carole Planque, Suvarna M. Punalekar, Pete Bunting, Peter Tan, Graciela Metternicht, “Operational continental-scale land cover mapping of Australia using the Open Data Cube”, ISPRS Journal of Photogrammetry and Remote Sensing, In Review.

Richard M. Lucas, Sophia German, Graciela Metternicht, Rebecca K. Schmidt, Chris Owers, Suzanne M. Prober, Anna Richards, Sally Tetreault-Campbell, Kristen J. Williams, Norman Mueller, Belle Tissott, Sean Chua, Alison Cowood, Terry Hills, Dayani Gunawardana, Alexis McIntyre, Sebastien Chognard, Clive Hurford, Carole Planque, Suvarna Punalekar, Daniel Clewley, Ruth Sonnenschein, Nicholas Murray, Ioannis Manakos, Palma Blonda, Kate Owers, Stephen Roxburgh, Heather Kay, Peter Bunting, and Claire Horton, “A Globally Relevant Change Taxonomy and Evidence-based Change Framework for Land Monitoring”, Global Change Biology, In Press.

Walsh, A.J., 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, (early access) https://doi.org/10.1109/JSTARS.2022.3195120

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, 265, p.107712. https://doi.org/10.1016/j.ecss.2021.107712

Sudmanns, M., Augustin, H., Killough, B., Giuliani, G., Tiede, D., Leith, A., Yuan, F., Lewis, A., 2022. Think global, cube local: an Earth Observation Data Cube’s contribution to the Digital Earth vision. 1–29. https://doi.org/10.1080/20964471.2022.2099236

Wang L.-W., Garthwaite M., Du Z., Deane A., McCubbine J., Wheeler M., O’Hehir A., Davies B., 2022. InSAR Analysis Ready Data. Accepted paper to be published in Institute of Electrical and Electronics Engineers (IEEE) XPlore and presented at 2022 IEEE International Geoscience and Remote Sensing Symposium IGARSS

Yuan, F., Repse M., Leith A., Rosenqvist A., Milcinski G., Moghaddam N.F., Dhar T., Burton C., Hall L., Jorand C., Lewis A.,2022. An operational Analysis Ready Radar Backscatter dataset for the African continent. Remote Sensing,14(2), p.351. https://doi.org/10.3390/rs14020351

Zhao, L., Liu, J., Peters, S., Li, J., Oliver, S., Mueller, N., 2022. Investigating the Impact of Using IR Bands on Early Fire Smoke Detection from Landsat Imagery with a Lightweight CNN Model. Remote Sensing 14. https://doi.org/10.3390/rs14133047

Earth Observation: Data, Processing and Applications, https://www.eoa.org.au/earth-observation-textbooks

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, 267, 112734. https://doi.org/10.1016/j.rse.2021.112734

Krause, C., Dunn, B., Bishop-Taylor, R., Adams, C., Burton, C., Alger, M., Chua, S., Phillips, C., Newey, V., Kouzoubov, K., Leith, A., Ayers, D., Hicks, A., DEA Notebooks contributors 2021. Digital Earth Australia notebooks and tools repository. Geoscience Australia, Canberra. https://doi.org/10.26186/145234

Krause, C.E., Newey, V., Alger, M.J. and Lymburner, L., 2021. Mapping and monitoring the multi-decadal dynamics of Australia’s open waterbodies using Landsat. Remote Sensing, 13(8), p.1437. https://doi.org/10.3390/rs13081437

Li, F., Jupp, D.L.B., 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 59, 4094–4104. https://doi.org/10.1109/TGRS.2020.3011006

Li, F., Jupp, D.L.B., 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 13, 1927. https://doi.org/10.3390/rs13101927

Nolde M, Mueller N, Strunz G, Riedlinger T. Assessment of Wildfire Activity Development Trends for Eastern Australia Using Multi-Sensor Earth Observation Data. Remote Sensing. 2021; 13(24):4975. https://doi.org/10.3390/rs13244975

Nolde, M., Mueller, N., Strunz, G., Fichtner, F., Plank, S., and Riedlinger, T.: Wildfire extreme events: Large-scale developments in fire activity of New South Wales, Australia, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-8805, https://doi.org/10.5194/egusphere-egu21-8805 , 2021.

Owers, C.J., Lucas, R.M., Clewley, D., Planque, C., Punalekar, S., Tissott, B., Chua, S.M., Bunting, P., Mueller, N. and Metternicht, G., 2021. Living Earth: Implementing national standardised land cover classification systems for Earth Observation in support of sustainable development. Big Earth Data, 5(3), pp.368-390. 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. Presented at the 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 1789–1791. https://doi.org/10.1109/IGARSS47720.2021.9554019

2020

Berk, A., Jupp, D and Li F., 2020. MODTRAN®61 Generated Single Scattering Adjacency Function. IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium

Botha, E.J., Anstee, J.M., Sagar, S., Lehmann, E., Medeiros, T.A.G., 2020. Classification of Australian Waterbodies across a Wide Range of Optical Water Types. Remote Sensing 12, 3018. https://doi.org/10.3390/rs12183018

Lymburner, L., Bunting, P., Lucas, R., Scarth, P., Alam, I., Phillips, C., Ticehurst, C. and Held, A., 2020. Mapping the multi-decadal mangrove dynamics of the Australian coastline. Remote Sensing of Environment, 238, p.111185. https://doi.org/10.1016/j.rse.2019.05.004

Metternicht, G., Mueller, N., Lucas, R. (2020). Digital Earth for Sustainable Development Goals. In: Guo, H., Goodchild, M.F., Annoni, A. (eds) Manual of Digital Earth. Springer, Singapore. https://doi.org/10.1007/978-981-32-9915-3_13

Younes, N., Northfield, T.D., Joyce, K.E., Maier, S.W., Duke, N.C. and Lymburner, L., 2020. A novel approach to modelling mangrove phenology from satellite images: A case study from northern Australia. Remote Sensing, 12(24), p.4008. https://doi.org/10.3390/rs12244008

2019

Bishop-Taylor, R., Sagar, S., Lymburner, L., Alam, I. and Sixsmith, J., 2019. Sub-pixel waterline extraction: Characterising accuracy and sensitivity to indices and spectra. Remote Sensing, 11(24), p.2984. https://www.mdpi.com/2072-4292/11/24/2984

Bishop-Taylor, R., Sagar, S., Lymburner, L., Beaman, R.L., 2019. Between the tides: modelling the elevation of Australia’s exposed intertidal zone at continental scale. Estuarine, Coastal and Shelf Science. https://doi.org/10.1016/j.ecss.2019.03.006

Dhu, T., Giuliani, G., Juárez, J., Kavvada, A., Killough, B., Merodio, P., Minchin, S. and Ramage, S., 2019. National Open Data Cubes and their contribution to country-level development policies and practices. Data, 4(4), p.144. https://doi.org/10.3390/data4040144

Dunn, B., Lymburner, L., Newey, V., Hicks, A. and Carey, H., 2019. Developing a Tool for Wetland Characterization Using Fractional Cover, Tasseled Cap Wetness And Water Observations From Space. IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019, pp. 6095-6097. https://doi.org/10.1109/IGARSS.2019.8897806

Hou, J., van Dijk, A. I. J. M., Renzullo, L. J., Vertessy, R. A., and Mueller, N.: Hydromorphological attributes for all Australian river reaches derived from Landsat dynamic inundation remote sensing, Earth Syst. Sci. Data, 11, 1003–1015, https://doi.org/10.5194/essd-11-1003-2019 , 2019

Li, F., Jupp, D.L.B., Sagar, S., Schroeder, T., 2019. Atmospheric Correction and Water Surface Issues for Aquatic Applications of Landsat 8. IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium

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 4, 143. https://doi.org/10.3390/data4040143

Renzullo, L.J., Tian, S., Van Dijk, A.I.J.M., Larraondo, P.R., Yebra, M., Yuan, F., Mueller, N., Burn extent and severity mapping by spectral anomaly detection in the Landsat data cube, 23rd International Congress on Modelling and Simulation, Canberra, ACT, Australia, 1 to 6 December 2019 mssanz.org.au/modsim2019

Roberts, D., Wilford, J. & Ghattas, O. Exposed soil and mineral map of the Australian continent revealing the land at its barest. Nat Commun 10, 5297 (2019). https://doi.org/10.1038/s41467-019-13276-1

Ticehurst, C., Zhou, Z.S., Lehmann, E., Yuan, F., Thankappan, M., Rosenqvist, A., Lewis, B. and Paget, M., 2019. Building a SAR-Enabled Data Cube Capability in Australia Using SAR Analysis Ready Data. Data, 4(3), p.100. https://doi.org/10.3390/data4030100

Wang, L-W, Li, F., Alam, I., Jupp, D., Oliver, S. and Thankappan, M., 2019. Analysis Ready Data Sensitivity Analyses. IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium

Yuan, F., Ticehurst, C., Zhou, Z., 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). Presented at the 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, J-C, Gascon, F., Adriaensen, S., Frantz, D., Hagolle, O., Hollstein, A., Kirches, G., Li, F., Louis, J., Mangin, A., Pahlevan, N., Pflug, B. and Vanhellemont, Q., 2018. Atmospheric correction inter-comparison exercise, Remote Sens., 10 (2), p. 352. 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 10, 1570. 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., “Digital Earth Australia - from Satellite Data to Better Decisions,” IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, pp. 8633-8635, https://doi.org/10.1109/IGARSS.2018.8518160 .

Ong, C., Malthus, T., Lau, I. C., Thankappan, M., Byrne, G., “THE Development of a Standardised Validation Approach for Surface Reflectance Data,” IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, pp. 6456-6459, https://doi.org/10.1109/IGARSS.2018.8518624

Roberts, D., Dunn, B., Mueller, N., “Open Data Cube Products Using High-Dimensional Statistics of Time Series,” IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, pp. 8647-8650, 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. 10, 480. 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. and Phillips, C., 2017. Digital earth Australia–unlocking new value from earth observation data. Big Earth Data, 1(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. and Wu, W., 2017. The Australian geoscience data cube—foundations and lessons learned. Remote Sensing of Environment, 202, pp.276-292. https://doi.org/10.1016/j.rse.2017.03.015

Adam Lewis, Simon Oliver, Leo Lymburner, Ben Evans, Lesley Wyborn, Norman Mueller, Gregory Raevksi, Jeremy Hooke, Rob Woodcock, Joshua Sixsmith, Wenjun Wu, Peter Tan, Fuqin Li, Brian Killough, Stuart Minchin, Dale Roberts, Damien Ayers, Biswajit Bala, John Dwyer, Arnold Dekker, Trevor Dhu, Andrew Hicks, Alex Ip, Matt Purss, Clare Richards, Stephen Sagar, Claire Trenham, Peter Wang, Lan-Wei Wang, “The Australian Geoscience Data Cube ” Foundations and lessons learned, Remote Sensing of Environment, Volume 202, 2017, Pages 276-292, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.03.015.

Li, F., Jupp, D.L.B., Paget, M., Briggs, P.R, Thankappan, M., Lewis, A and 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, 195, pp. 275-296. https://doi.org/10.1016/j.rse.2017.03.032

Li, F., Jupp, D.L.B., Sagar, S., Wang, L.W. and Coghlan, R.2017. Atmospheric correction for a Landsat and Sentinel-2 product over water surfaces 22nd International Congress on Modelling and Simulation, Hobart, Tasmania, Australia, 3 to 8 December 2017 mssanz.org.au/modsim2017

Roberts, D., Mueller, N., Mcintyre, A., “High-Dimensional Pixel Composites From Earth Observation Time Series,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp. 6254-6264, Nov. 2017, 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 195, 153-169. https://doi.org/10.1016/j.rse.2017.04.009

2016

Hoare, A., Tan, K. P., Stocker, C., Lawrie, K., Halas, L., Mueller, N., Symington, N., Brodie, R. C., Tingey, W., Brodie, R. S., 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, 2016:1, 1-7, https://doi.org/10.1071/ASEG2016ab287

Lawrie, K., Brodie, R. S., Magee, J., Tan, K. P., Halas, L., Mueller, N., Lymburner, L., Christensen, N. B., (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, 2016:1, 1-7, https://doi.org/10.1071/ASEG2016ab401

Lewis, A., Lymburner, L., Purss, M.B., Brooke, B., Evans, B., Ip, A., Dekker, A.G., Irons, J.R., Minchin, S., Mueller, N. and Oliver, S., 2016. Rapid, high-resolution detection of environmental change over continental scales from satellite data–the Earth Observation Data Cube. International Journal of Digital Earth, 9(1), pp.106-111. https://doi.org/10.1080/17538947.2015.1111952

Li, F., Jupp, D.L.B., Thankappan, M., Wang, L-W, Lewis, A. and Held, A., 2016. Evaluation of the TanDEM-X intermediate DEM for terrain illumination correction in Landsat data. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Lymburner, L., Botha, E., Hestir, E., Anstee, J., Sagar, S., Dekker, A. and Malthus, T., 2016. Landsat 8: Providing continuity and increased precision for measuring multi-decadal time series of total suspended matter. Remote Sensing of Environment, 185, pp.108-118. 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. and Ip, A., 2016. Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia. Remote Sensing of Environment, 174, pp.341-352. https://doi.org/10.1016/j.rse.2015.11.003

2015

Li, F., Jupp, D.L.B., Thankappan, M., Wang, L.W., Sixsmith, J., Lewis, A., and Held, A., 2015. Land surface brightness temperature retrieved from Landsat data. 21st International Congress on Modelling and Simulation, Gold Coast, Australia, 29 Nov to 4 Dec 2015

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.

Pre-2015

Li, F., Jupp, DLB and Thankappan, M. 2013. Issues in the application of Digital Surface Model data to correct the terrain illumination effects in Landsat images, International Journal of Digital Earth, DOI: 10.1080/17538947.2013.866701

Li, F., Jupp, DLB, Lymburner, L., Tan, P., McIntyre, A., Thankappan, M., Lewis, A. and Held, A., 2013. Characteristics of MODIS BRDF shape and its relationship with land cover classes in Australia. 20th international congress on modelling and simulation, Adelaide

Li, F., Jupp, DLB, Thankappan, M., Paget, M., Lewis, A. and Held, A., 2013. The variability of satellite derived surface BRDF shape over Australia from 2001 to 2011, 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS

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. Presented at the 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, pp. 961–963. https://doi.org/10.1109/IGARSS.2013.6721321

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. Presented at the 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, pp. 4146–4149. https://doi.org/10.1109/IGARSS.2013.6723746

Tan, P., Lymburner, L., Mueller, N., Li, F., Thankappan, M., Lewis, A., “Applying machine learning methods and time series analysis to create a National Dynamic Land Cover Dataset for Australia,” 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013, pp. 4289-4292, https://doi.org/10.1109/IGARSS.2013.6723782

Li, F., Jupp, D.L.B., 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 124, 756–770. https://doi.org/10.1016/j.rse.2012.06.018

Ravanbakhsh, M., Wang, L.-W., Fraser, C. S., & Lewis, A., 2012. Generation of the Australian Geographic Reference Image Through Long-Strip Alos Prism Orientation. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39B1, 225–229. https://doi.org/10.5194/isprsarchives-XXXIX-B1-225-2012

Guerschman, J. P., Warren, G., Byrne, G., Lymburner, L., Mueller, N., Van Dijk, A., MODIS-based standing water detection for flood and large reservoir mapping: algorithm development and applications for the Australian continent, CSIRO Publishing, 2011.

Li, F., Jupp, DLB and Thankappan, M. 2011. Using high resolution DSM data to correct the terrain illumination effect in Landsat data. Proceedings of the 19th International Congress on Modelling and Simulation, Perth, Australia

Li, F., Jupp, D.L., Reddy, S., Lymburner, L., Mueller, N., Tan, P. and 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, 3(3), pp.257-270. 10.1109/JSTARS.2010.2042281