Internally funded project

Development of datum transformation model from BTRS to BNGRS02 for Botswana using least squares techniques and artificial neural networks.

Principal Investigator

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Geospatial information has a pivotal role in in Vision 2036 and sustainable development goal 9. It is required for sustainable economic development and infrastructure development.  Geospatial data is required for making informed decisions, agriculture, construction, and disaster management. However, fore geospatial data to bring these benefits it should be referenced to a satellite datum which can be used directly used with Global Navigation Satellite Systems (GNSS). This is not the case, however, in Botswana as some of the maps and geospatial control network data is still in the classical coordinate system. Thus, data measured with GNSS will be incompatible with this system making it difficult to share and, hence slowing development. It is therefore necessary to find the relationship between the classical datum and modern datum in Botswana being BTRS and BNGRS02 respectively. This study proposes to find the relationship by using “standard” conformal transformation models and artificial neural networks (ANN) which is an artificial intelligence (AI) algorithm.


Keywords

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Other Team Members

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External Partners

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Research Areas

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Publications

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Last updated on 2025-28-07 at 11:58