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Environmental Mainstreaming In Mine Action: A Case Study Of Moving Beyond "Do No Harm", Emily Chrystie

The Journal of Conventional Weapons Destruction

Interest within the mine action sector in mainstreaming environmental issues has rocketed in the past few years. The establishment of cross-sector working groups, the investigatory work of organizations such as the Conflict and Environment Observatory (CEOBS), and increased donor interest in directing funds toward environmental projects are arguably the result of broad scientific consensus on the increasingly destructive effects of anthropogenic forces on global ecosystems.

The well-established concept of do no harm1 is a framework commonly applied in the broader humanitarian sector and has been put forward as directly applicable to environmental concerns within mine action.2 The concept broadly reflects …

How Uav Lidar Imaging Can Locate And Map Minefield Features: Cuito Cuanavale, Angola, Katherine James, Gert Riemersma, Pedro Pacheco

The Journal of Conventional Weapons Destruction

In this article we outline how an unmanned aerial vehicle (UAV) mounted light detection and ranging (Lidar) mapping system has been used for the detection and mapping of minefields in vegetated areas around Cuito Cuanavale, Angola. Work took place as part of The HALO Trust’s (HALO) research into aiding clearance of landmines and unexploded ordnance (UXO) using drones.

The Journal Of Conventional Weapons Destruction Issue 27.2 (2023), The Journal Of Conventional Weapons Destruction

The Journal of Conventional Weapons Destruction

• Updates on recent enhancements to IMAS.
• Food security and its connection to mine action as it applies to Ukraine.
• Digital EORE as a small NGO in mine action.
• A case study on moving beyond "do no harm" in environmental mainstreaming in mine action.
• Efforts of JICA and CMAC in fostering South-South cooperation in mine action.
• UAV Lidar imaging in mine action to detect and map minefields in Angola.
• Land disputes and rights in mine action.
• Computer vision detection of explosive ordnance.