The following is a non-exhaustive list of scientific papers and projects that have used notebooks, code or tools from dea-notebooks.
If you have used material from this repository, please reference them using this citation and add a link to your work below!
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 and Hicks A (2021) 'DEA Notebooks contributors', Digital Earth Australia notebooks and tools repository, Geoscience Australia, Canberra. doi.org/10.26186/145234.
Abhik, S, Hope, P, Hendon, HH, Hutley, LB, Johnson, S, Drosdowsky, W, Brown, JR & Duke, NC 2021, 'Influence of the 2015–2016 El Niño on the record-breaking mangrove dieback along northern Australia coast', Scientific Reports, vol. 11, no. 1, doi.org/10.1038/s41598-021-99313-w.
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, doi.org/10.1016/j.rse.2021.112734.
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, doi.org/10.3390/rs11242984.
Burton, CA, Rifai, SW, Renzullo, LJ & Van Dijk, AIJM 2024, 'Enhancing long-Term vegetation monitoring in Australia: A new approach for harmonising the Advanced Very High Resolution Radiometer normalised-difference vegetation (NVDI) with MODIS NDVI', Earth System Science Data, vol. 16, no. 10, pp. 4389-416, doi.org/10.5194/essd-16-4389-2024.
Chatzopoulos-Vouzoglanis, K, Reinke, KJ, Soto-Berelov, M & Jones, SD 2024, 'Are fire intensity and burn severity associated? Advancing our understanding of FRP and NBR metrics from Himawari-8/9 and Sentinel-2', International Journal of Applied Earth Observation and Geoinformation, vol. 127, doi.org/10.1016/j.jag.2024.103673.
Chen, Y, Guerschman, J, Shendryk, Y, Henry, D & Harrison, MT 2021, 'Estimating pasture biomass using sentinel-2 imagery and machine learning', Remote Sensing, vol. 13, no. 4, pp. 1-20, doi.org/10.3390/rs13040603.
Choo, J, Cherukuru, N, Lehmann, E, Paget, M, Mujahid, A, Martin, P & Müller, M 2022, 'Spatial and temporal dynamics of suspended sediment concentrations in coastal waters of the South China Sea, off Sarawak, Borneo: ocean colour remote sensing observations and analysis', Biogeosciences, vol. 19, no. 24, pp. 5837-57, doi.org/10.5194/bg-19-5837-2022.
—— 2025, 'Long term satellite observations and analysis of water clarity in tropical coastal waters off Sarawak, Malaysian Borneo', in IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, pp. 4803-7, doi.org/10.1109/IGARSS55030.2025.11313902.
Colloff, MJ, Slattery, M, Pittock, J & Johnson, W 2026, 'Just another form of take: evaporation from irrigation storages and channels in the northern Murray–Darling Basin and the implications for water policy reform', Australasian Journal of Water Resources, pp. 1-23, doi.org/10.1080/13241583.2026.2650962.
DaSilva, MD, Bruce, D, Hesp, PA, da Silva, GM & Downes, J 2023, 'Post-wildfire coastal dunefield response using photogrammetry and satellite indices', Earth Surface Processes and Landforms, vol. 48, no. 9, pp. 1845-68, doi.org/10.1002/esp.5591.
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, doi.org/10.1007/s13157-023-01682-7.
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, doi.org/10.1109/IGARSS.2019.8897806.
Gale, MG, Cary, GJ, van Dijk, AIJM & Yebra, M 2023, 'Untangling fuel, weather and management effects on fire severity: Insights from large-sample LiDAR remote sensing analysis of conditions preceding the 2019-20 Australian wildfires', Journal of Environmental Management, vol. 348, doi.org/10.1016/j.jenvman.2023.119474.
Hou, J, Sharples, W, Tarpanelli, A, Renzullo, L, Woldemeskel, F & Carrara, E 2026, 'Advancing Near-Real-Time flood inundation mapping in Australia', Water Resources Research, vol. 62, no. 2, doi.org/10.1029/2025WR040640.
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, doi.org/10.3390/rs13081437.
Malan, N, Roughan, M, Hemming, M & Ingleton, T 2024, 'Quantifying coastal freshwater extremes during unprecedented rainfall using long timeseries multi-platform salinity observations', Nature Communications, vol. 15, no. 1, doi.org/10.1038/s41467-023-44398-2.
McCarroll, RJ, Kennedy, DM & Ierodiaconou, D 2025, 'Morphologically adaptive modelling of sea level rise induced coastal erosion impacts for south-east Australia', Marine Geology, vol. 488, doi.org/10.1016/j.margeo.2025.107602.
Ochungo, P, Sagna, N, Neema, V, Akintayo, A, Athie, A, Kabiru, A, Ndiaye, A, Michaut, E, Merlo, S & Lane, P 2025, 'Shoreline dynamics and cultural heritage sites in Kenya, Tanzania, and Senegal: integrating remote sensing and archaeological knowledge', Journal of Maps, vol. 21, no. 1, doi.org/10.1080/17445647.2025.2487454.
Pucino, N, Kennedy, DM, Young, M & Ierodiaconou, D 2022, 'Assessing the accuracy of Sentinel-2 instantaneous subpixel shorelines using synchronous UAV ground truth surveys', Remote Sensing of Environment, vol. 282, doi.org/10.1016/j.rse.2022.113293.
Ruscalleda-Alvarez, J, Page, GFM, Zdunic, K & Prober, SM 2025, 'Estimating woody vegetation cover in arid and semi-arid rangelands', Ecological Indicators, vol. 177, doi.org/10.1016/j.ecolind.2025.113741.
Short, MA, Norman, RS, Pillans, B, De Deckker, P, Usback, R, Opdyke, BN, Ransley, TR, Gray, S & McPhail, DC 2021, Two centuries of water-level records at Lake George, NSW, Taylor and Francis Ltd., doi.org/10.1080/08120099.2020.1821247.
Sutton, A, Fisher, A & Metternicht, G 2022, 'Assessing the accuracy of Landsat Vegetation Fractional Cover for monitoring Australian drylands', Remote Sensing, vol. 14, no. 24, doi.org/10.3390/rs14246322.
Taylor, P, Almeida, AC, Kemmerer, E & Abreu, ROdS 2023, 'Improving spatial predictions of Eucalypt plantation growth by combining interpretable machine learning with the 3-PG model', Frontiers in Forests and Global Change, vol. 6, doi.org/10.3389/ffgc.2023.1181049.
Teng, J, Penton, DJ, Ticehurst, C, Sengupta, A, Freebairn, A, Marvanek, S, Vaze, J, Gibbs, M, Streeton, N, Karim, F & Morton, S 2022, 'A comprehensive assessment of floodwater depth estimation models in semiarid regions', Water Resources Research, vol. 58, no. 11, doi.org/10.1029/2022WR032031.
Tsai, YLS & Tseng, KH 2023, 'Monitoring multidecadal coastline change and reconstructing tidal flat topography', International Journal of Applied Earth Observation and Geoinformation, vol. 118, doi.org/10.1016/j.jag.2023.103260.
Wellington, MJ, Lawes, R & Kuhnert, P 2023, 'A framework for modelling spatio-temporal trends in crop production using generalised additive models', Computers and Electronics in Agriculture, vol. 212, doi.org/10.1016/j.compag.2023.108111.
Wellington, MJ & Renzullo, LJ 2021, 'High-dimensional satellite image compositing and statistics for enhanced irrigated crop mapping', Remote Sensing, vol. 13, no. 7, doi.org/10.3390/rs13071300.
Yebra, M, Scortechini, G, Younes, N & van Dijk, AIJM 2026, 'High-resolution monitoring of Live Fuel Moisture Content across Australia', Remote Sensing, vol. 18, no. 7, pp. 1049-73, doi.org/10.3390/rs18071049.
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, vol. 14, no. 13, doi.org/10.3390/rs14133047.
- Förtsch, S. & Hill, S., 2021, April 22 - April 23. The Bavarian Open Data Cube [Presentation]. Geopython, online.
- Förtsch, S., Otte, I., Thiel, M., Fäth, J., Schuldt, B., Ullmann, T., 2022, May 23 - May 27. Forest intelligence - The online analytical processing cube in the context of forestry [Poster]. ESA Living Planet Symposium, Bonn, Germany. http://dx.doi.org/10.13140/RG.2.2.31623.88483
- DaSilva, MD., Bruce, D., Hillman, M., Advancing Earth Observation Forum (AEO22), Brisbane 2022, EO360 Interactive session titled, ‘Generating an automated early warning system for Australian plantation forest health issues’
- University of New England, 2023. GISC436 : Remote Sensing and Image analysis
- Swinburne University of Technology, Space Technology and Industry Institute, 2023, 2024. Earth Observation and Data Analysis Short Course 2024 , Earth Observation and Data Analysis Short Course 2023
- Australian National University, Centre for Water and Landscape Dynamics (WALD) under contract for Geoscience Australia, 2022. Digital Earth Australia for Geospatial Analysts. Materials available under Apache 2.0 Licence here and link to github repository: https://github.com/ANU-WALD/dea_training
- Flinders University, 2021, 2022. Remote Sensing for All Disciplines. Undergrad and postgrad course.
- University of Newcastle, 2021. Advanced Remote Sensing Data and Applications. Graduate Certificate in Spatial Science.
- University of Queensland, 2021. Code-Based Computing for Geospatial Data: the Digital Earth Australia (DEA) Sandbox platform. GEOM3001/7001 Advanced Earth Observation Sciences.
- University of Tasmania, 2021. Remote Sensing: Image Analysis. Bachelor of Surveying and Spatial Sciences.
- University of Tasmania, 2021. Spatial Research Project. Bachelor of Surveying and Spatial Sciences.
- Grayson Cooke, 2019. Invalid data. https://www.graysoncooke.com/invalid-data
- Grayson Cooke, 2019. Open Air. https://www.graysoncooke.com/open