Burns, James2020-03-192020-03-192019-12Burns, J. 2019. Using LiDAR derivatives to estimate sediment grain size on beaches in False Bay. Thesis presented in partial fulfilment of the requirements for the degree of Master of Science (Geoinformatics) in the Faculty of Science at Stellenbosch University, 97pp.https://scholar.sun.ac.za/handle/10019.1/107062http://hdl.handle.net/10019.1/107062http://hdl.handle.net/10204/11355Copyright: 2019 Stellenbosch University. Due to copyright restrictions, the attached pdf only contains the abstract of the fulltext version. The fulltext item can be obtained via the online university repository at https://scholar.sun.ac.za/handle/10019.1/107062The coastal zone is a dynamic environment that is regulated and influenced by natural ocean processes and anthropogenic phenomena. Beaches are important elements within the coastal zone and are highly valued for the ecosystem services that they provide, such as buffering against wave erosion and their recreational value. Characteristics of beaches, such as slope and grain size, need to be monitored for protection and management purposes. These continuously changing variables can indicate vulnerability to erosion, for example. South Africa’s False Bay includes a number of beaches that vary in terms of such vulnerability. Active remote sensing technologies are increasingly used as monitoring tools that allow for precise measurements of the status and changes in coastal environments. These technologies include LiDAR systems which have the capacity to record intensities which relate to surface characteristics. The aim of this study is to establish whether LiDAR derived intensity and slope of beaches can be correlated with, or serve as proxies for, sediment grain size. There are two supporting objectives. The first is to analyse airborne LiDAR data of False Bay to derive information on key physical characteristics of selected beaches and to relate these to the sand grain size of these beaches. The second objective is to conduct controlled laboratory-based analysis of sediment samples using a terrestrial LiDAR scanner, and to establish the correlations between different categories of grain size and measured LiDAR intensities.enCoastal zonesLiDARFalse BayReportBurns, J. (2019). <i>Using LiDAR derivatives to estimate sediment grain size on beaches in False Bay</i> (Worklist;23234). Stellenbosch University. Retrieved from http://hdl.handle.net/10204/11355Burns, James <i>Using LiDAR derivatives to estimate sediment grain size on beaches in False Bay.</i> Worklist;23234. Stellenbosch University, 2019. http://hdl.handle.net/10204/11355Burns J. Using LiDAR derivatives to estimate sediment grain size on beaches in False Bay. 2019 [cited yyyy month dd]. Available from: http://hdl.handle.net/10204/11355TY - Report AU - Burns, James AB - The coastal zone is a dynamic environment that is regulated and influenced by natural ocean processes and anthropogenic phenomena. Beaches are important elements within the coastal zone and are highly valued for the ecosystem services that they provide, such as buffering against wave erosion and their recreational value. Characteristics of beaches, such as slope and grain size, need to be monitored for protection and management purposes. These continuously changing variables can indicate vulnerability to erosion, for example. South Africa’s False Bay includes a number of beaches that vary in terms of such vulnerability. Active remote sensing technologies are increasingly used as monitoring tools that allow for precise measurements of the status and changes in coastal environments. These technologies include LiDAR systems which have the capacity to record intensities which relate to surface characteristics. The aim of this study is to establish whether LiDAR derived intensity and slope of beaches can be correlated with, or serve as proxies for, sediment grain size. There are two supporting objectives. The first is to analyse airborne LiDAR data of False Bay to derive information on key physical characteristics of selected beaches and to relate these to the sand grain size of these beaches. The second objective is to conduct controlled laboratory-based analysis of sediment samples using a terrestrial LiDAR scanner, and to establish the correlations between different categories of grain size and measured LiDAR intensities. DA - 2019-12 DB - ResearchSpace DP - CSIR KW - Coastal zones KW - LiDAR KW - False Bay LK - https://researchspace.csir.co.za PY - 2019 T1 - Using LiDAR derivatives to estimate sediment grain size on beaches in False Bay TI - Using LiDAR derivatives to estimate sediment grain size on beaches in False Bay UR - http://hdl.handle.net/10204/11355 ER -