DocumentCode :
2208961
Title :
A computational-grid based system for continental drainage network extraction using SRTM digital elevation models
Author :
Curkendall, David W. ; Fielding, Eric J. ; Cheng, Tsan-Huei ; Pohl, Josef M.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
fYear :
2003
fDate :
6-9 Oct. 2003
Firstpage :
181
Lastpage :
190
Abstract :
We describe a new effort for the computation of elevation derivatives using the shuttle radar topography mission (SRTM) results. Jet Propulsion Laboratory´s (JPL) SRTM has produced a near global database of highly accurate elevation data. The scope of this database enables computing precise stream drainage maps and other derivatives on continental scales. We describe a computing architecture for this computationally very complex task based on NASA´s information power grid (IPG), a distributed high performance computing network based on the GLOBUS infrastructure. The SRTM data characteristics and unique problems they present are discussed. A new algorithm for organizing the conventional extraction algorithms (Jenson and Domingue, 1988) into a cooperating parallel grid is presented as an essential component to adapt to the IPG computing structure. Preliminary results are presented for a Southern California test area, established for comparing SRTM and its results against those produced using the USGS national elevation data (NED) model.
Keywords :
aerospace computing; geographic information systems; grid computing; parallel architectures; terrain mapping; topography (Earth); GLOBUS infrastructure; IPG; JPL; Jet Propulsion Laboratory; NASA; NED model; SRTM; Southern California; US geological survey; USGS; computational-grid based system; continental drainage network extraction; digital elevation models; distributed computing network; global database; information power grid; national elevation data; parallel grid; shuttle radar topography mission; stream drainage maps; Computer networks; Data mining; Databases; Digital elevation models; Distributed computing; Grid computing; High performance computing; Propulsion; Radar; Surfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing Workshops, 2003. Proceedings. 2003 International Conference on
ISSN :
1530-2016
Print_ISBN :
0-7695-2018-9
Type :
conf
DOI :
10.1109/ICPPW.2003.1240369
Filename :
1240369
Link To Document :
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