caa a22 4500 445331968 CHVBK 20180317142740.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s10707-009-0098-z doi (NATIONALLICENCE)springer-10.1007/s10707-009-0098-z Comparison of distribution strategies in uncertainty-aware catchment delineation [Elektronische Daten] [Tomas Ukkonen, Juha Oksanen, Tapani Rousi, Tapani Sarjakoski] Delineation of drainage basins from a digital elevation model (DEM) has become a standard operation in a number of terrain analysis software packages, but limitations of the conventionally used techniques have become apparent. Firstly, the delineation methods make assumption of error-free data, which is an unreachable utopia even with modern sensor technology. Secondly, even though the computing capacity has increased dramatically during the last decades, sizes of geospatial data sets have increased simultaneously. Thus far, the typical problems arising when using uncertainty-aware geospatial analysis are 1) the computational complexity of the analysis and 2) memory allocation problems when large datasets are used. In this paper, we raise the question about the general need for developing scalable and uncertainty-aware algorithms for terrain analysis and propose improvements to the existing drainage basin calculation methods. The distributed uncertainty-aware catchment delineation methods with and without spatial partitioning of the DEM are introduced and the performance of the methods in different cases are compared. Springer Science+Business Media, LLC, 2009 Parallel computing nationallicence Digital elevation model nationallicence Error propagation analysis nationallicence Terrain analysis nationallicence Process convolution nationallicence Ukkonen Tomas Department of Computer Science and Engineering, Helsinki University of Technology, Espoo, Finland aut Oksanen Juha Department of Geoinformatics and Cartography, Finnish Geodetic Institute, Masala, Finland aut Rousi Tapani Department of Geoinformatics and Cartography, Finnish Geodetic Institute, Masala, Finland aut Sarjakoski Tapani Department of Geoinformatics and Cartography, Finnish Geodetic Institute, Masala, Finland aut GeoInformatica Springer US; http://www.springer-ny.com 15/2(2011-04-01), 329-349 1384-6175 15:2<329 2011 15 10707 https://doi.org/10.1007/s10707-009-0098-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10707-009-0098-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ukkonen Tomas Department of Computer Science and Engineering, Helsinki University of Technology, Espoo, Finland aut NATIONALLICENCE 700 1- Oksanen Juha Department of Geoinformatics and Cartography, Finnish Geodetic Institute, Masala, Finland aut NATIONALLICENCE 700 1- Rousi Tapani Department of Geoinformatics and Cartography, Finnish Geodetic Institute, Masala, Finland aut NATIONALLICENCE 700 1- Sarjakoski Tapani Department of Geoinformatics and Cartography, Finnish Geodetic Institute, Masala, Finland aut NATIONALLICENCE 773 0- GeoInformatica Springer US; http://www.springer-ny.com 15/2(2011-04-01), 329-349 1384-6175 15:2<329 2011 15 10707 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer