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<p>Monitoring fragile ecosystems, such as mangroves, requires high-precision spatial or aerial imagery data, particularly in marine and coastal environments where up-to-date and detailed maps are essential. This study focused on the Community Biodiversity Conservation Area (ACCB) of Togbin-Adounko in southern Benin. It aimed to map mangrove ecosystems using drone imagery for optimal monitoring of these specific ecosystems. Very high-resolution images were captured in January 2024 using a DJI Phantom 4 Pro V2 drone with an RGB camera. The collected data was processed using Pix4Dmapper and QGIS 3.22 software, enabling the creation of a detailed map of the Togbin-Adounko area within the ACCB. Results revealed that the study site, covering 204.85 hectares, consisted of 70% natural areas, including marshes (27.72%), mangrove forests (20.70%), water bodies (21.51%), and swamp forests (0.21%). Areas influenced by human activity account for 30% of the surface area, and include settlements (29.51%) and plantations (0.31%). The manual image classification produced a map with an overall accuracy of 97.76%, well above the minimum threshold of 75%, and a remarkable Kappa index of 0.98. These results confirm that drone technologies are valuable tools for creating a more reliable database of coastal ecosystems. Archiving this acquired data would be useful for documenting past conditions in greater detail to effectively monitor these ecosystems.</p>

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Contribution of drone mapping to mangrove conservation in the Togbin-Adounko Community Biodiversity Conservation Area, southwest Benin (West Africa)

  • 期刊论文

  • 发表日期：

    2026年2月13日

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  • Tété Pérugine Akoton,
  • Yvon Carmen Hountondji,
  • Yéhounko Bruno Buffon Gbodjinou,
  • Dibi Hyppolite N’DA,
  • Sabi Bruno Bio Nikki Sare,
  • Adigla Appolinaire Wédjangnon,
  • Christine Ajokè Ifètayo Nougbodé Ouinsavi

摘要

Monitoring fragile ecosystems, such as mangroves, requires high-precision spatial or aerial imagery data, particularly in marine and coastal environments where up-to-date and detailed maps are essential. This study focused on the Community Biodiversity Conservation Area (ACCB) of Togbin-Adounko in southern Benin. It aimed to map mangrove ecosystems using drone imagery for optimal monitoring of these specific ecosystems. Very high-resolution images were captured in January 2024 using a DJI Phantom 4 Pro V2 drone with an RGB camera. The collected data was processed using Pix4Dmapper and QGIS 3.22 software, enabling the creation of a detailed map of the Togbin-Adounko area within the ACCB. Results revealed that the study site, covering 204.85 hectares, consisted of 70% natural areas, including marshes (27.72%), mangrove forests (20.70%), water bodies (21.51%), and swamp forests (0.21%). Areas influenced by human activity account for 30% of the surface area, and include settlements (29.51%) and plantations (0.31%). The manual image classification produced a map with an overall accuracy of 97.76%, well above the minimum threshold of 75%, and a remarkable Kappa index of 0.98. These results confirm that drone technologies are valuable tools for creating a more reliable database of coastal ecosystems. Archiving this acquired data would be useful for documenting past conditions in greater detail to effectively monitor these ecosystems.