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Research Article | Open Access |

Polarimetric SAR Characterization of Mangrove Forest Environment in the United Arab Emirates (UAE)

Author 1: Soumaya Fatnassi Author 2: Mohamed Yahia Author 3: Tarig Ali Author 4: Maruf Mortula
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 14, No. 3 · Published 2023

DOI: https://doi.org/10.14569/IJACSA.2023.0140380

Abstract

This Mangrove forests in the United Arab Emirates (UAE) provide valuable ecosystem services such as coastal erosion protection, water purification and refuge for a wide variety of plants and animals. Therefore, the first step toward understanding the mangrove forests is the monitoring of this important ecological system. This paper proposes an original study to characterize the mangrove forest environment in the UAE by using polarimetric synthetic aperture radar (PolSAR) remote sensing. Free access C-band dual- PolSAR Sentinel 1 data have been exploited. The elements as of the covariance matrix as well as the entropy/alpha decomposition parameters have been studied. Results show that the VH intensity, the coherence between VV and VH polarimetric channels, the entropy and alpha angle provide the most pronounced signatures that discern mangrove forests. Thus, these parameters could be exploited to improve the accuracy of the remote sensing monitoring and mapping techniques of mangrove forests in the UAE.

Keywords

How to Cite this Article

Fatnassi, S., Yahia, M., Ali, T., & Mortula, M. (2023). Polarimetric SAR Characterization of Mangrove Forest Environment in the United Arab Emirates (UAE). International Journal of Advanced Computer Science and Applications, 14(3). https://doi.org/10.14569/IJACSA.2023.0140380

Fatnassi, Soumaya, et al.. "Polarimetric SAR Characterization of Mangrove Forest Environment in the United Arab Emirates (UAE)." International Journal of Advanced Computer Science and Applications, vol. 14, no. 3, 2023, https://doi.org/10.14569/IJACSA.2023.0140380.

@article{Fatnassi2023,
  title     = {Polarimetric SAR Characterization of Mangrove Forest Environment in the United Arab Emirates (UAE)},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {14},
  number    = {3},
  year      = {2023},
  publisher = {The Science and Information Organization},
  author    = {Soumaya Fatnassi and Mohamed Yahia and Tarig Ali and Maruf Mortula},
  doi       = {10.14569/IJACSA.2023.0140380},
  url       = {https://doi.org/10.14569/IJACSA.2023.0140380}
}

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