Coupling ICESat-2 and Sentinel-2 data for inversion of mangrove tidal flat to predict future distribution pattern of mangroves

• We found that generalized linear model can effectively estimate elevations. • Pioneering to estimate mangrove tidal flat elevations using Remote Sensing model. • We establish a technical workflow to predict future potential distribution patterns of mangroves. • A 76.9 km 2 mangrove tidal flats elevation map in Maowei Sea have been generated. • The suitable cultivation area for Maowei Sea mangroves can extend up to 18.2 km 2 . Tidal flats represent one of the Earth’s most critical ecosystems characterized by substantial ecological value, but these areas are also among the most fragile ecosystems. A detailed topography survey of tidal flat is essential for exploring how tidal flat ecosystems respond to environmental changes and for predicting morphological shifts, thereby impacting the protection and restoration of mangrove ecosystems. However, there is still a dearth of data available for mangrove tidal flat topography, as the majority of measurements primarily rely on traditional cartographic methods or small-scale surveys. Therefore, we aim to rely entirely on Earth observation satellite platforms, combining satellite-based Light Detection and Ranging (LiDAR) and optical remote sensing to monitor extensive mangrove tidal flat topography. This methodology was rigorously applied and validated on China’s largest and most representative mangrove tidal flats, revealing a Root Mean Square Error (RMSE) not exceeding 7.5 cm and an R-squared value surpassing 0.89 when compared to airborne LiDAR data. We use the inundation frequency derived from the long-term Sentinel-2 image sequences and elevation data extracted from the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) to establish a specific relationship between inundation frequency and ground elevation using both classical and generalized regression models, a mangrove tidal flat topography covering 76.9 km 2 was generated. Our findings delineate suitable distribution areas for mangroves in the Maowei Sea, covering an expansive 18.2 km 2 .

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Publication Details

Journal
International Journal of Applied Earth Observation and Geoinformation
Published
2025-02-01
DOI
https://doi.org/10.1016/j.jag.2025.104398
Citations
2
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
3.43

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article

Coupling ICESat-2 and Sentinel-2 data for inversion of mangrove tidal flat to predict future distribution pattern of mangroves

Junliang Lin, Xinguo Ming, Qiang Zhang, Yali Zhang et al.
2 citations
International Journal of Applied Earth Observation and Geoinformation
Coastal wetland ecosystem dynamics
3.43
article

Coupling ICESat-2 and Sentinel-2 data for inversion of mangrove tidal flat to predict future distribution pattern of mangroves

Junliang Lin, Xinguo Ming, Qiang Zhang, Yali Zhang, Tao Jin, Yichao Tian
article en
2 citations

Abstract

• We found that generalized linear model can effectively estimate elevations. • Pioneering to estimate mangrove tidal flat elevations using Remote Sensing model. • We establish a technical workflow to predict future potential distribution patterns of mangroves. • A 76.9 km 2 mangrove tidal flats elevation map in Maowei Sea have been generated. • The suitable cultivation area for Maowei Sea mangroves can extend up to 18.2 km 2 . Tidal flats represent one of the Earth’s most critical ecosystems characterized by substantial ecological value, but these areas are also among the most fragile ecosystems. A detailed topography survey of tidal flat is essential for exploring how tidal flat ecosystems respond to environmental changes and for predicting morphological shifts, thereby impacting the protection and restoration of mangrove ecosystems. However, there is still a dearth of data available for mangrove tidal flat topography, as the majority of measurements primarily rely on traditional cartographic methods or small-scale surveys. Therefore, we aim to rely entirely on Earth observation satellite platforms, combining satellite-based Light Detection and Ranging (LiDAR) and optical remote sensing to monitor extensive mangrove tidal flat topography. This methodology was rigorously applied and validated on China’s largest and most representative mangrove tidal flats, revealing a Root Mean Square Error (RMSE) not exceeding 7.5 cm and an R-squared value surpassing 0.89 when compared to airborne LiDAR data. We use the inundation frequency derived from the long-term Sentinel-2 image sequences and elevation data extracted from the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) to establish a specific relationship between inundation frequency and ground elevation using both classical and generalized regression models, a mangrove tidal flat topography covering 76.9 km 2 was generated. Our findings delineate suitable distribution areas for mangroves in the Maowei Sea, covering an expansive 18.2 km 2 .

International Journal of Applied Earth Observation and GeoinformationVol. 136
Beibu Gulf University (CN), Development Research Center (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 11%
Coastal wetland ecosystem dynamics
3.43
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