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Rapid environmental degradation in tropical watersheds necessitates effective strategies for assessing and restoring riparian health. This study presents an integrated approach, combining remote sensing, expert knowledge, and field validation, to prioritize areas for riparian rehabilitation in the Merawu Watershed, Indonesia. High-resolution PlanetScope imagery was used to analyze vegetation cover within riparian buffers, classified using NDVI and ISO clustering. A Fuzzy Analytic Hierarchy Process (FAHP) incorporated vegetation cover, land use, and slope, identified as critical factors by local experts, to prioritize areas for rehabilitation. The FAHP-derived prioritization was then validated using the Riparian Quality Index, demonstrating a strong correlation and confirming the robustness of the approach. Results revealed that areas characterized by low vegetation cover or bare land, flat slopes (0–8%), and mixed dryland agriculture require immediate attention. By integrating remote sensing with FAHP and field validation, this study provides a practical and transferable framework for assessing riparian health and prioritizing rehabilitation efforts, contributing to the sustainable management of threatened watersheds globally.

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Enhancing River Sustainability: A Comprehensive Approach to Riparian Ecology Assessment

  • 章节

  • 发表日期：

    2025年

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  • Jalma Giring Sukmawati,
  • Sutomo,
  • Muhammad Hadi Saputra,
  • Eko Pujiono,
  • Nida Humaida,
  • Aditya Hani,
  • Muhammad Bima Atmaja,
  • Rajif Iryadi,
  • Wieke Herningtyas,
  • Reni Setyo Wahyuningtyas,
  • Inda Dwi Solina

摘要

Rapid environmental degradation in tropical watersheds necessitates effective strategies for assessing and restoring riparian health. This study presents an integrated approach, combining remote sensing, expert knowledge, and field validation, to prioritize areas for riparian rehabilitation in the Merawu Watershed, Indonesia. High-resolution PlanetScope imagery was used to analyze vegetation cover within riparian buffers, classified using NDVI and ISO clustering. A Fuzzy Analytic Hierarchy Process (FAHP) incorporated vegetation cover, land use, and slope, identified as critical factors by local experts, to prioritize areas for rehabilitation. The FAHP-derived prioritization was then validated using the Riparian Quality Index, demonstrating a strong correlation and confirming the robustness of the approach. Results revealed that areas characterized by low vegetation cover or bare land, flat slopes (0–8%), and mixed dryland agriculture require immediate attention. By integrating remote sensing with FAHP and field validation, this study provides a practical and transferable framework for assessing riparian health and prioritizing rehabilitation efforts, contributing to the sustainable management of threatened watersheds globally.