Map data digitizing, editing and automatic hydrological network reconstruction

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Land related information systems (LRISs) have been recognized by both the public and private sectors as invaluable tools in planning and decision making for resource management in world economies. Data acquisition is an essential part of such systems because without appropriate data there is no useful system. Because land related data are mostly available in analogue map form, the data acquisition stage usually involes a digitizing and editing phase, so that the data may be structured and encoded into the LRIS database. This research has investigated and catalogued many of the current issues in digital acquisition of map data, has applied some of these to map data for a test area in the Kanaskis Valley of souther western Alberta, and has investigated methods for the automatic generation of nodes and flow direction necessary for the geometric and topological reconstruction of a digitized hydrological network. The results show that an approach which is quite simple conceptually enables the fast generation of positionally accurate nodes and, with minimal elevation data, enables the automatic determination of stream flow directions. The final output is most suitable for the generation of an arc/node (semi or fully topological) data structure which, experience has shown, offers the most versatile data manipulation and fastest response times for many LRIS tasks.
Bibliography: p. 128-142.
Mulaku, G. C. (1987). Map data digitizing, editing and automatic hydrological network reconstruction (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from doi:10.11575/PRISM/10943