Assessment of coastal ecological restoration effectiveness using an improved remote sensing ecological index: a case study of the Liaohe Estuary

Introduction Coastal ecosystems are experiencing rapid degradation and biodiversity loss, driving large-scale restoration efforts, particularly in China. Traditional methods for evaluating restoration outcomes are often limited by high costs and restricted spatial coverage. Methods This study introduces an Improved Remote Sensing Ecological Index (IRSEI), which incorporates a salinity-sensitive component into the conventional RSEI framework to better capture the complexity of coastal zones. Results Applied to the Liaohe Estuary over ten years (2014–2024) using six Landsat 8 images, the index revealed a 23% increase in mean ecological quality and improvements across 48.3% of the area. The spatial recovery exhibited a “core-to-edge” pattern, with gains exceeding 0.2 in restored regions. Discussion The results underscore the index's utility as a cost-effective and scalable tool for monitoring coastal wetland restoration and supporting adaptive management in transitional ecosystems.

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Publication Details

Journal
Frontiers in Ecology and Evolution
Published
2025-06-09
DOI
https://doi.org/10.3389/fevo.2025.1603614
Citations
1
Primary Topic
Coastal and Marine Management
Type
article
Field-Weighted Citation Impact
2.42
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article

Assessment of coastal ecological restoration effectiveness using an improved remote sensing ecological index: a case study of the Liaohe Estuary

Wenhai Lu, Yujia Zhang, Zhaoyang Liu, Rong Zeng et al.
1 citations
Frontiers in Ecology and Evolution
Coastal and Marine Management
2.42
article

Assessment of coastal ecological restoration effectiveness using an improved remote sensing ecological index: a case study of the Liaohe Estuary

Wenhai Lu, Yujia Zhang, Zhaoyang Liu, Rong Zeng, Yan Xu, Lu Yang
article en
1 citations

Abstract

Introduction Coastal ecosystems are experiencing rapid degradation and biodiversity loss, driving large-scale restoration efforts, particularly in China. Traditional methods for evaluating restoration outcomes are often limited by high costs and restricted spatial coverage. Methods This study introduces an Improved Remote Sensing Ecological Index (IRSEI), which incorporates a salinity-sensitive component into the conventional RSEI framework to better capture the complexity of coastal zones. Results Applied to the Liaohe Estuary over ten years (2014–2024) using six Landsat 8 images, the index revealed a 23% increase in mean ecological quality and improvements across 48.3% of the area. The spatial recovery exhibited a “core-to-edge” pattern, with gains exceeding 0.2 in restored regions. Discussion The results underscore the index's utility as a cost-effective and scalable tool for monitoring coastal wetland restoration and supporting adaptive management in transitional ecosystems.

Frontiers in Ecology and EvolutionVol. 13
Shandong Marine Resource and Environment Research Institute (CN)
Openalex Percentile: Top 11%
Coastal and Marine Management
2.42
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Assessment of coastal ecological restoration effectiveness using an improved remote sensing ecological index: a case study of the Liaohe Estuary — Wenhai Lu, Yujia Zhang, et al. · Frontiers in Ecology and Evolution (2025) | TGRS Research Map | TGRS