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<p>Increasing urbanisation threats faced by mangrove ecosystems necessitate accurate monitoring methods. This study evaluated efficacy of small-scale remotely piloted aircraft systems (RPAS) combined with segment anything model (SAM) for mapping mangroves in urban areas of Central Vembanad lake. High-resolution imagery (4:3 pixels) was collected using DJI drone with FC7303 RGB sensor. RPAS achieved ground sampling distance of 0.84 inches/pixel. SAM model achieved 92% accuracy in land-cover classification. Mangroves and associated vegetation cover 56.34% of study area, while built-up areas occupy 19.51%. RPAS–SAM approach proved to be powerful tool for detailed monitoring, indicating complex urban-mangrove interface and subsequent impact on mangrove distribution.</p>

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Efficacy of small-scale RPAS for monitoring mangrove species distribution under urbanisation threats

  • 期刊论文

  • 发表日期：

    2025年4月19日

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  • M. R. Sethu,
  • V. P. Limna Mol

摘要

Increasing urbanisation threats faced by mangrove ecosystems necessitate accurate monitoring methods. This study evaluated efficacy of small-scale remotely piloted aircraft systems (RPAS) combined with segment anything model (SAM) for mapping mangroves in urban areas of Central Vembanad lake. High-resolution imagery (4:3 pixels) was collected using DJI drone with FC7303 RGB sensor. RPAS achieved ground sampling distance of 0.84 inches/pixel. SAM model achieved 92% accuracy in land-cover classification. Mangroves and associated vegetation cover 56.34% of study area, while built-up areas occupy 19.51%. RPAS–SAM approach proved to be powerful tool for detailed monitoring, indicating complex urban-mangrove interface and subsequent impact on mangrove distribution.