Establishing a hyperspectral library for Hong Kong mangroves: Species differentiation and leaf decay dynamics

Mangroves are the resistant species found in the intertidal zones, providing ecosystem services such as protection of shorelines, provision of habitats to flora and fauna, and contributing to nutrient cycling. Study of their leaf properties has always been challenging, but this has been facilitated by the advent of Hyperspectral Imaging (HSI) systems. In such a context, this study undertook the development of a hyperspectral library offering the reflectance characteristics for adaxial and abaxial surfaces of mangrove species found in Hong Kong, on the temporal scale of seven days to facilitate the species identification and monitor the leaf decay. This library contained species level data, plot level data, and decay level data. Field surveys in fifteen plots (900 m 2 each) conducted in the Eastern and Western regions of Hong Kong collected hyperspectral data of five mangrove species, namely: Ceriops tagal , Kandelia obovata, Avicennia marina, Avicennia germinans, and Aegiceras corniculatum, using two different types of hyperspectral imaging systems i.e., Specim IQ (in-field data) and NEO Hyspex (in-lab data) hyperspectral cameras. A comparison of sensors unveiled a notably higher reflectance in field collected data than that of the lab-collected data, with a range of 11.8% (Kandelia obovate) to 73.1% (Aegiceras corniculatum). The Root Mean Square Error (RMSE) indicated deviation between the two sensors, i.e., 0.211 for Ceriops tagal , followed by Kandelia obovata (0.233), Avicennia marina (0.317), Avicennia germinans , and Aegiceras corniculatum (0.349). This freely available comprehensive hyperspectral library will serve as the foundation for training datasets to achieve automated classification with enhanced accuracy. This open access hyperspectral library will assist the researchers to relate the physiological and anatomical variations in leaves with the changes in hyperspectral reflectance on the temporal scale. • 5 out of 7 mangrove species in Hong Kong were recorded for spectral library. • Linear interpolation aligned wavelengths of Hyspex VNIR sensor and Specim IQ. • Used LICOR porometer/Fluorometer to collect health status data of mangroves. • Open-access spectral library of surveyed mangrove species was developed. • Infield use of Specim-IQ induced species-specific offsets in spectral signatures .

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Publication Details

Journal
Science of Remote Sensing
Published
2026-01-02
DOI
https://doi.org/10.1016/j.srs.2025.100362
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
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article

Establishing a hyperspectral library for Hong Kong mangroves: Species differentiation and leaf decay dynamics

Xiaolin Zhu, Janet E. Nichol, Man Sing Wong, Majid Nazeer et al.
Science of Remote Sensing
Coastal wetland ecosystem dynamics
article

Establishing a hyperspectral library for Hong Kong mangroves: Species differentiation and leaf decay dynamics

Xiaolin Zhu, Janet E. Nichol, Man Sing Wong, Majid Nazeer, Tahir Sattar
article en

Abstract

Mangroves are the resistant species found in the intertidal zones, providing ecosystem services such as protection of shorelines, provision of habitats to flora and fauna, and contributing to nutrient cycling. Study of their leaf properties has always been challenging, but this has been facilitated by the advent of Hyperspectral Imaging (HSI) systems. In such a context, this study undertook the development of a hyperspectral library offering the reflectance characteristics for adaxial and abaxial surfaces of mangrove species found in Hong Kong, on the temporal scale of seven days to facilitate the species identification and monitor the leaf decay. This library contained species level data, plot level data, and decay level data. Field surveys in fifteen plots (900 m 2 each) conducted in the Eastern and Western regions of Hong Kong collected hyperspectral data of five mangrove species, namely: Ceriops tagal , Kandelia obovata, Avicennia marina, Avicennia germinans, and Aegiceras corniculatum, using two different types of hyperspectral imaging systems i.e., Specim IQ (in-field data) and NEO Hyspex (in-lab data) hyperspectral cameras. A comparison of sensors unveiled a notably higher reflectance in field collected data than that of the lab-collected data, with a range of 11.8% (Kandelia obovate) to 73.1% (Aegiceras corniculatum). The Root Mean Square Error (RMSE) indicated deviation between the two sensors, i.e., 0.211 for Ceriops tagal , followed by Kandelia obovata (0.233), Avicennia marina (0.317), Avicennia germinans , and Aegiceras corniculatum (0.349). This freely available comprehensive hyperspectral library will serve as the foundation for training datasets to achieve automated classification with enhanced accuracy. This open access hyperspectral library will assist the researchers to relate the physiological and anatomical variations in leaves with the changes in hyperspectral reflectance on the temporal scale. • 5 out of 7 mangrove species in Hong Kong were recorded for spectral library. • Linear interpolation aligned wavelengths of Hyspex VNIR sensor and Specim IQ. • Used LICOR porometer/Fluorometer to collect health status data of mangroves. • Open-access spectral library of surveyed mangrove species was developed. • Infield use of Specim-IQ induced species-specific offsets in spectral signatures .

Science of Remote SensingVol. 13
Hong Kong Polytechnic University (HK), University of Portsmouth (GB)
Openalex Percentile: Top 99%
Coastal wetland ecosystem dynamics
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