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Auto-generate Landmine Path, Digitize and Visualize the Data for the Sri Lankan Context

Show simple item record Nadeesha, DMIM Meththananda, RGUI Vandebona, R 2021-01-26T11:29:18Z 2021-01-26T11:29:18Z 2020-10
dc.description.abstract Landmines could be identified as affordable and effective defensive weapon, but it has many complexities. Human deaths and injuries, agricultural land degradation, destruction to infrastructure, environmental destruction, economic cost for demining humanitarian aid and etc. Those complexities cause due to the unconventional landmine fields which could be find it difficult to demine. To avoid that, landmines had to be laid according to universally accepted methods in a standard pattern. As per the International agreements, Sri Lankan security forces also follow the standards in warfare. But their data recording mechanism is manual and not efficient.The objective of this study is to introduce a new system to record positions of landmine data in digital format. The design of this research was accomplished in three stages, identification of current practice of data recording, develop the computer program to generate locations of landmines and data visualization and analysis using the result of the computer program. Therefore, through reviewing existing mechanism, lapses of existing system could be identified. By developing a computer program we could be able to auto-generate locations of each landmine on a landmine pattern by two initial inputs. Matlab has been used to develop the program which is a very powerful platform. Qgis is a highly demanded spatial data manipulating system, which is utilized in the visualization and analysis of data. The proposed system will be more convenient, efficient, effective, and accurate system that will avoid the malpractices of recording landmines. en_US
dc.language.iso en en_US
dc.subject Landmine en_US
dc.subject Location en_US
dc.subject MATLAB en_US
dc.subject Minefield en_US
dc.subject QGIS en_US
dc.title Auto-generate Landmine Path, Digitize and Visualize the Data for the Sri Lankan Context en_US
dc.type Article Full Text en_US
dc.identifier.journal 13th International Research Conference General Sir John Kotelawala Defence University en_US
dc.identifier.pgnos 277-284 en_US

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