Suitability of DSM derived from remote sensing data for automatic drainage extraction

Konstantinos G. Nikolakopoulos; Sofia Geniataki; Stefania Gianou

doi:10.1117/12.2068098

11 November 2014 Suitability of DSM derived from remote sensing data for automatic drainage extraction

Konstantinos G. Nikolakopoulos, Sofia Geniataki, Stefania Gianou

Proceedings Volume 9239, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI; 92390I (2014) https://doi.org/10.1117/12.2068098
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

Abstract

Hydrological indexes calculation requires the existence of spatial data such as the drainage network, the hydrological basin and the contours. For the Greek territory this data can be extracted from the topographic maps of the Hellenic Military Geographical Service (HMGS) or from remote sensing data. In this study the suitability and the accuracy of spatial information derived from remote sensing data are controlled with reference to the respective information from the topographic maps of 1/50.000. DSM from ALOS, ASTER, SRTM and airphoto stereopairs has been used for the automatic extraction of the drainage network, the hydrological basin and the calculation of hydrological indexes such as drainage length and Horton's Laws. The Selinountas river basin in western Peloponnese was selected for the evaluation and the results are presented in this paper.

Citation Download Citation

Konstantinos G. Nikolakopoulos, Sofia Geniataki, and Stefania Gianou "Suitability of DSM derived from remote sensing data for automatic drainage extraction", Proc. SPIE 9239, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI, 92390I (11 November 2014); https://doi.org/10.1117/12.2068098

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