Pipeline Route Planning: Analyse Remote Sensing, Ground Movement and GIS Data
Proceedings Publication Date
Udo Wiese
Udo Wiese, Caroline Rogg
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PIPEMON is a project funded by the European Space Agency’s (ESA) Earth Observation Market Development Program (EOMD) and aims to promote the use of satellite-based techniques to support pipeline operators for ground motion monitoring and route planning.
Planning the route for a new pipeline is a complex and lengthy procedure. A lot of different information has to be evaluated. It is important to define the most cost efficient route in an early stage and to bundle the plentitude of relevant information. The here proposed eCognition PIPEMON Route Planning Service, which is developed by DEFININES AG, is based on the eCognition Enterprise Technology. The software fuses flexibly Information from different kind of sources like satellite images and ground movement analysis based on radar data, or GIS data like cadastral maps, soil maps or company specific data. From these data a suitability for pipeline planning map is generated by intersecting and weighting the inserted data. The rules for the suitability of an area can individually adapted according to the pipeline planners tasks. Remote sensing data supports the pipeline planning in the different planning phases:
Level 1:->Possible Pipeline Route
Classification of larger regions using free of charge, area wide available satellite data. Additional input data can be elevation information and GIS data of the according coarse scale. A suitability map is calculated, which provides a retraceable selection of several possible routes, which will be analyzed more detailed in “Level 2” The resulting map can be exported as an ESRI shape file containing all needed information.
Level 2:-> Detailed Analysis in the preclassified areas
The preselected pipeline routes are intersected with higher resoluted remote sensing data and more detailed GIS information. Already existing land use maps are updated by cross checking them with the current remote sensing data. Information for example about ownership or sources of danger like ground movement can be implemented as well as information about already existing pipeline tracks or other infrastructure. The result is exported as ESRI shape file.
An outlook will be the automated calculation of the best suited track