Recent remote sensing applications for hydro and
morphodynamic monitoring and modelling

Heritage, G; Entwistle, NS; Milan, D

Abstract

It is not new to recognise that data from remote sensing platforms is transforming the way we characterise and analyse our environment. The ability to collect continuous data spanning spatial scales now allows geomorphological research in a data rich environment and this special issue (coming just 7 years after the 2010 special issue of ESPL associated with the remote sensing of rivers) highlights the considerable research effort being made to exploit this information, into new understanding of geomorphic form and process. The 2010 special issue on the remote sensing of rivers noted that fluvial remote sensing papers made up some 14% of the total river related papers in ESPL. A similar review of the papers up to 2017 reveals that this figure has increased to around 25% with a recent proliferation of articles utilising satellite based data and structure from motion derived data. It is interesting to note, however that many studies published to date are proof of concept, concentrating on confirming the accuracy of the remotely sensed data at the expense of generating new insights and ideas on fluvial form and function. Data is becoming ever more accurate and researchers should now be concentrating on analysing these early data sets to develop increased geomorphic insight challenging paradigms and moving the science forward. The prospect of this occurring is increased by the fact that many of the new remote sensed platforms allow accurate spatial data to be collected cheaply and efficiently. This is providing the individual researcher or small research grouping with tremendous opportunity to move the science of fluvial geomorphology forward unconstrained to a large degree of the need to secure substantial research funding. Fluvial geomorphologists have never before been in such a liberated position! As techniques and analytical skills continue to improve it is inevitable that Marcus and Fondstad's (2010) prediction that remotely sensed data will revolutionising our understanding of geomorphological form and process will prove true, altering our ideas on the very nature of system functioning in the process.

Citation

morphodynamic monitoring and modelling. Earth Surface Processes and Landforms, 43(10), 2283-2291. https://doi.org/10.1002/esp.4378

• Journal Article Type: Article
• Acceptance Date: Mar 10, 2018
• Online Publication Date: Mar 10, 2018
• Publication Date: Mar 10, 2018
• Deposit Date: May 30, 2018
• Publicly Available Date: Aug 20, 2018
• Journal: Earth Surface Processes and Landforms
• Print ISSN: 0197-9337
• Publisher: Wiley
• Volume: 43
• Issue: 10
• Pages: 2283-2291
• DOI: https://doi.org/10.1002/esp.4378
• Publisher URL: https://doi.org/10.1002/esp.4378
• Related Public URLs: https://onlinelibrary.wiley.com/journal/10969837