Deep Learning Techniques for Enhanced Mangrove Land use and Land change from Remote Sensing Imagery: A Blue Carbon Perspective

Author:

Han Huimin,Zeeshan Zeeshan,Assam Muhammad,Khan Dr Faheem Ullah,Khan Wasiat,Asif Muhammad,Bhatti Uzair Aslam,Hasnain Ahmad,Awwad Emad Mahrous,Sarhan Nadia

Funder

King Saud University

Publisher

Elsevier BV

Reference39 articles.

1. Mangroves: “Superhero;Cadena;Ecosystems. Front. Young Minds.,2023

2. Carugati, L., Gatto, B., Rastelli, E. et al. Impact of mangrove forests degradation on biodiversity and ecosystem functioning. Sci Rep 8, 13298 (2018). https://doi.org/10.1038/s41598-018-31683-0

3. Nizam A, Meera SP, Kumar A. Genetic and molecular mechanisms underlying mangrove adaptations to intertidal environments. iScience. 2021 Nov 30;25(1):103547. doi: 10.1016/j.isci.2021.103547. PMID: 34988398; PMCID: PMC8693430.

4. Mangrove Rehabilitation and Restoration as Experimental Adaptive Management. Front;Ellison;Mar. Sci.,2020

5. Mangrove classification using airborne hyperspectral AVIRIS-NG and comparing with other spaceborne hyperspectral and multispectral data;Prakash;Egyptian Journal of Remote Sensing and Space Science,2020

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