Identification of mangrove plant using hyperspectral remote sensing data along the Red Sea, Egypt

A. Basheer, Manar; B. El Kafrawy, Sameh; A. Mekawy, Amal

doi:10.21608/ejabf.2019.25932

Identification of mangrove plant using hyperspectral remote sensing data along the Red Sea, Egypt

Document Type : Original Article

Authors

10.21608/ejabf.2019.25932

Abstract

The mangrove ecosystem is one of the most productive habitats that support many marine species and its adaptation to adverse environmental conditions, increase the demand to map, manage and monitor this ecosystem. The presence of hyperspectral remote sensing techniques can potentially improve the ability to measure the spectral signature of mangrove to differentiate mangrove from the other vegetation and to get detailed information about this ecosystem. This study has been carried out for mapping, monitoring and managing the Red Sea mangrove ecosystems through measuring their spectral properties using advanced hyperspectral remote sensing techniques. The spectral signature data were measured using Analytical Spectral Devices (ASD) Fieldspec spectroradiometer on November 2016 then the data were tested using statistical measures namely One-way Analysis of Variance (ANOVA) along with Tukey’s HSD test. The hyperspectral signatures of A. marina mangrove at the different sites showed that mangroves recorded a high reflectance at the visible and NIR region of the spectrum than the other regions and there are similarities at certain wavelengths and some differences at other wavelengths used for differentiation between mangroves in various environments. ANOVA and Tukey’s HSD test results showed that NIR region is the best region for the differentiation of mangrove from the other vegetation.

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