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MNA_250215_33 Ross Crescent Sunshine Beach_00.pdf
33 Ross Crescent, Sunshine Beach – Coastal Hazzard Assessment | 33 Ross Crescent Family Trust 9. References Aurecon. (2013). Sunshine Coast Storm Tide Study - Storm Tide Definition. Brisbane: Aurecon. 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. 11, 2984; doi:10.3390/rs11242984; BMT. (2013). Coastal Processes Study for the Sunshine Coast. Brisbane: BMT. BMT. (2018). Noosa Shire Council Coastal Hazards Risk, Vulnerability and Adaptation Assessment - Coastal Hazard Mapping Refinement. Brisbane: BMT. Bruun, P. (1962). Sea Level Rise as a cause of shoreline recession. ASCE Journal, Waters and Harbours Division, Vol. 188, 117-130. Coastal Observation Programme- Engineering. (1985). Coastal Observation Programme- Engineering (COPE), Teewah- Noosa Shire. Coastal Observation Programme- Engineering. Department of Environment and Heritage Protection. (2013). Coastal Hazards Technical Guide - Determining Coastal Hazard Areas. Brisbane: Department of Environment and Heritage Protection. Department of Environment and Science. (2011). Sunshine Coast Bathymetric Lidar Acquisition. Department of Resources. (2009). Queensland LiDAR DATA- South East Queensland 2009 Project. IPCC. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva, Switzerland: IPCC. Maritime Safety Queensland. (2023). Queensland Tidal Planes. Retrieved from https://www.msq.qld.gov.au/Tides/Tidal-planes Royal HaskoningDHV (2024). 33 Ross Crescent, Sunshine Beach – Coastal Hazard Assessment Stephens, M. J. (1896). Sand Transport at Noosa, Queensland. Vellinga, P. (1983). Predictive computational model for beach and dune erosion during storm surges. Vos K., Splinter K.D., Harley M.D., Simmons J.A., Turner I.L. (2019). CoastSat: a Google Earth Engine- enabled Python toolkit to extract shorelines from publicly available satellite imagery. Environmental Modelling and Software. 122, 104528. https://doi.org/10.1016/j.envsoft.2019.104528; 39
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