Casualties from mines and explosive remnants of war (ERW) continue to be significant. Landmine monitoring group recorded more than 4,000 cases of injuries and fatalities because of ERW in 2022. In addition to suffering casualties, ERW results in significant impact on social and economic development. To mitigate the impact of mines, technical and non-technical surveys are employed to identify, clear and release potential hazardous regions. Currently, the land release process is effective but incur inefficiencies in time and cost, hence, the need to provide technical solution to increase the efficiency of the process. We extend our previous approach by analysing larger dataset collected over five years. In particular, we explore a framework for land clearance prioritisation using land-cover change analysis to support decision-making in landmine surveying. We present analysis using remote sensing images from sentinel-2 to estimate the changes in the land cover over time and provide results to assist in the clearance priority of different hazardous regions. A case study in the Kingdom of Cambodia is presented with several observations of satellite images for the years 2019 and 2023. Our study demonstrates that analysing the changes in land-cover is a promising direction to help in the non-technical survey process and increasing the productivity of the land release.

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A Framework for Decision-Support in Landmine Surveying: Spatio-Temporal Analysis of Land Cover Change Using Sentinel-2

  • Alaa AlZoubi,
  • Nasir Ibrahim

摘要

Casualties from mines and explosive remnants of war (ERW) continue to be significant. Landmine monitoring group recorded more than 4,000 cases of injuries and fatalities because of ERW in 2022. In addition to suffering casualties, ERW results in significant impact on social and economic development. To mitigate the impact of mines, technical and non-technical surveys are employed to identify, clear and release potential hazardous regions. Currently, the land release process is effective but incur inefficiencies in time and cost, hence, the need to provide technical solution to increase the efficiency of the process. We extend our previous approach by analysing larger dataset collected over five years. In particular, we explore a framework for land clearance prioritisation using land-cover change analysis to support decision-making in landmine surveying. We present analysis using remote sensing images from sentinel-2 to estimate the changes in the land cover over time and provide results to assist in the clearance priority of different hazardous regions. A case study in the Kingdom of Cambodia is presented with several observations of satellite images for the years 2019 and 2023. Our study demonstrates that analysing the changes in land-cover is a promising direction to help in the non-technical survey process and increasing the productivity of the land release.