Skip to content

USAGE.rst

Latest commit

 

History

History
105 lines (63 loc) · 12.3 KB

USAGE.rst

File metadata and controls

105 lines (63 loc) · 12.3 KB

Uses of Digital Earth Australia notebooks and tools

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 & Hicks A 2021 'DEA Notebooks contributors', Digital Earth Australia notebooks and tools repository, Geoscience Australia, Canberra, https://doi.org/10.26186/145234.

Scientific papers

  • 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, https://doi.org/10.1038/s41598-021-99313-w.
  • Adame, MF, Kavehei, E, Dunn, B, Jackson, S, Duncan, P, Minjerribah-Moorgumpin Elders In, C, 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, 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.
  • 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, 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.
  • 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, https://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, https://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, https://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, https://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, https://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, https://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, https://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, https://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, https://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, https://doi.org/10.1016/j.jenvman.2023.119474.
  • Gonçalves, RVS, Asbridge, E, Kelleway, JJ, Lucas, R & Rogers, K 2026, 'Climate‐driven mangrove dieback and recovery: a case study in Albert and Leichhardt Rivers, Australia', Remote Sensing in Ecology and Conservation, https://doi.org/10.1002/rse2.70080.
  • 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, https://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, https://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, https://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, https://doi.org/10.1016/j.margeo.2025.107602.
  • 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.
  • 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, https://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, https://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, https://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., https://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, https://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, https://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, https://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, https://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, https://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, https://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, https://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, https://doi.org/10.3390/rs14133047.

Conferences

  • DaSilva, MD, Bruce, D, Hillman, M 2022, 'Generating an automated early warning system for Australian plantation forest health issues', EO360 interactive session, Advancing Earth Observation Forum (AEO22), Brisbane.
  • Förtsch, S & Hill, S 2021, 'The Bavarian Open Data Cube' [Presentation], Geopython, online, April 22 - April 23.
  • Förtsch, S, Otte, I, Thiel, M, Fäth, J, Schuldt, B, Ullmann, T 2022, 'Forest intelligence - The online analytical processing cube in the context of forestry' [Poster], ESA Living Planet Symposium, Bonn, Germany, May 23 - May 27. http://dx.doi.org/10.13140/RG.2.2.31623.88483

Courses and training

Creative works