Simulation of Three-Dimensional of coastal erosion using differential interferometric synthetic aperture radar

Abstract

This study aims at modelling three-dimensional shoreline change rates using differential interferometric synthetic aperture radar (DInSAR) techinuqe. Neverthless, decorrelation plays significant role to control the accuracy of three dimensional object reconstruction using DInSAR. To solve this problem, multichannel MAP height estimator algorithm is implemented with in ENVISAT ASAR data. Therefore, the proposed method has been applied to coastaline of Johor, Malaysia. The study shows the critical erosion of -3.5 m y -1 with accuracy (RMSE) of ±0.05 m. In addition, the volume rate of shoreline changes of -2343.42 m 3 y -1 corresponds to the lowest digital elevation model (DEM) of 7.4 m. It can be said that accurate rate of shoreline change can be achieved with root mean square error (RMSE) of ±0.05 m using multichannel MAP height estimator algorithm.

Environmental drivers of the vital urban coastal zones: An explorative case study based on the data-driven multi-method approach

“…The coastal zone is where the terrestrial environment mutually influences marine environments (Carter, 2013). In response to global issues related to coastlines, relevant studies mostly contribute to projecting sea-level rise, mitigating storm hazards (Godschalk et al, 1989), monitoring shoreline erosion (Maged et al, 2010;Marghany, 2014), controlling waste disposal into coastal environments (Council, 1993), exploitation of coastal energy (Gill, 2005), and adapting climate change. Besides sustainable and ecological considerations, the coastal zones are also in possess of huge construction and development potentials-especially those located within urban areas to deliver dynamics to the coastal zones, as well as to bring enormous opportunities for the social, economic, ecological, and cultural development of the cities (Martínez et al, 2007;Barragán and De Andrés, 2015).…”