The Role of SDI in Quality Assurance During Field Data Collection

Abstract

The Role of SDI in Quality Assurance During Field Data Collection

Mohammad Hosseinpour
M.Sc student
Faculty of Geomatics Engineering, K.N.Toosi University of Technology,
Iran
Email: Hosseinpour.mhp@gmail.com

Aliasghar Alesheikh
Associate Professor
K.N.Toosi University of Technology
Email: Alesheikh@kntu.ac.ir

Majid Hamreah
Associate Professor
K.N.Toosi University of TecK.N.Toosi University of Technologyhnology
Email: Hamrah@kntu.ac.ir

Developments in the field of wireless communications and mobile devices have changed the traditional methods of collecting data in digital era and nowadays a complete process from collecting data to producing the map can be done digitally. Since the stage of data acquisition is the main source of data errors, quality controls should be imposed in the early stages of collecting data to prevent error propagation.

A focal objective of establishing spatial data infrastructure (SDI) is to standardize the way of producing data; SDI can provide a suitable framework for error handling purposes. Web feature services (WFS) are suitable tools for achieving this aim because they consist of information about features definitions and their complete attributes. This leads to solve the problem of different understandings from a specific feature. In addition to this, it is possible to formulate integrity constraints using ontology programming languages and implement the rules during field data collection.

This paper aims to investigate the way of imposing quality controls on acquired data during field data collection. As a case study a mobile data acquisition system has been designed that warns users when any data inconsistency occurs and users can remove the error from database with correcting the occurred error instantly.