12 August 2016 DSM generation using multiple radar data for relief change detection in North Peloponnese
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Proceedings Volume 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016); 96880C (2016) https://doi.org/10.1117/12.2241124
Event: Fourth International Conference on Remote Sensing and Geoinformation of the Environment, 2016, Paphos, Cyprus
Abstract
Interferometry constitutes a technique of acquisition height information with a range of applications, such as Digital Surface Model (DSM) generation in order to monitoring the Earth's surface. This work is focused on interferometric DSM creation utilizing radar data of Sentinel-1 and TerraSAR-X missions, covering the wider area of Northern Peloponnese. This area is characterized of loose geological formations and intense active tectonics resulting in continuous and intense relief changes. In this context, the accuracy and the update of the DSMs is essential in order to detect and map any terrain change. The selection of Sentinel-1 and TerraSAR-X images was based on the fact that both missions provide timely, with short revisiting period and satisfactory spatial resolution data. In particular, two ranges of radar data from both missions were submitted in interferometric process aimed at DSM creation. The produced DSMs were compared both visually and statistically to a very accurate reference DSM produced from airphotos by the Greek Cadastral. Furthermore, in order to estimate the accuracy of the DSMs and detect variations of terrain’s surface, points of known elevation have been used. 2D RMSE, correlation and the percentile value were computed and the results are presented.
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Konstantinos G. Nikolakopoulos, Konstantinos G. Nikolakopoulos, Aggeliki Kyriou, Aggeliki Kyriou, Nikolaos Sabatakakis, Nikolaos Sabatakakis, Vassilis Anastassopoulos, Vassilis Anastassopoulos, "DSM generation using multiple radar data for relief change detection in North Peloponnese", Proc. SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 96880C (12 August 2016); doi: 10.1117/12.2241124; https://doi.org/10.1117/12.2241124
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