Use of machine learning and remote sensing techniques for shoreline monitoring: A review of recent literature

CAD Tsiakos, C Chalkias - Applied Sciences, 2023 - mdpi.com
Climate change and its effects (ie, sea level rise, extreme weather events) as well as
anthropogenic activities, determine pressures to the coastal environments and contribute to …

A review of carbon monitoring in wet carbon systems using remote sensing

AD Campbell, T Fatoyinbo, SP Charles… - Environmental …, 2022 - iopscience.iop.org
Carbon monitoring is critical for the reporting and verification of carbon stocks and change.
Remote sensing is a tool increasingly used to estimate the spatial heterogeneity, extent and …

Evaluating mangrove conservation and sustainability through spatiotemporal (1990–2020) mangrove cover change analysis in Pakistan

H Gilani, HI Naz, M Arshad, K Nazim, U Akram… - Estuarine, Coastal and …, 2021 - Elsevier
This study provides the first comprehensive mangrove cover change assessment from 1990
to 2020, at five-year intervals, across all five mangrove areas in Pakistan, ie Indus Delta …

[HTML][HTML] Mangrove forest regeneration age map and drivers of restoration success in Gulf Cooperation Council countries from satellite imagery

M Mohan, AD Roy, JF Montenegro, MS Watt… - Remote Sensing …, 2024 - Elsevier
Mangrove forests are found across the Gulf Cooperation Council (GCC) region despite
challenging environmental extremes, including highly variable temperatures and …

The marine endophytic polyamine-producing Streptomyces mutabilis UAE1 isolated from extreme niches in the Arabian Gulf promotes the performance of mangrove …

KA El-Tarabily, GA Ramadan, AA Elbadawi… - Frontiers in Marine …, 2021 - frontiersin.org
Mangrove forests in the Arabian Gulf are under continuous threat. To increase plantations of
gray mangrove (Avicennia marina) in the United Arab Emirates (UAE), 27 endophytic …

[HTML][HTML] Impact and prediction of pollutant on mangrove and carbon stocks: A machine learning study based on urban remote sensing data

M Xu, C Sun, Y Zhan, Y Liu - Geoscience Frontiers, 2024 - Elsevier
Mangrove ecosystems have important ecological and economic values, especially their
ability to store carbon. However, in recent years, human disturbance has accelerated …

Machine learning classifier evaluation for different input combinations: a case study with Landsat 9 and Sentinel-2 data

PA Palanisamy, K Jain, S Bonafoni - Remote Sensing, 2023 - mdpi.com
High-resolution multispectral remote sensing images offer valuable information about
various land features, providing essential details and spatially accurate representations. In …

Flash Flood Susceptibility modeling and magnitude index using machine learning and geohydrological models: A modified hybrid approach

S Elmahdy, T Ali, M Mohamed - Remote Sensing, 2020 - mdpi.com
In an arid region, flash floods (FF), as a response to climate changes, are the most
hazardous causing massive destruction and losses to farms, human lives and infrastructure …

[HTML][HTML] How exotic Sonneratia species affect the spatiotemporal dynamics of mangroves in Shenzhen Bay, China: A remote sensing perspective

Z Hu, J Wu, J Wang, Y Zhang, H Zhou, C Gao… - Ecological …, 2023 - Elsevier
Mangroves are essential forest communities in tropical and subtropical coastal zones,
providing unique ecological functions and significant social and economic value. Accurate …

[HTML][HTML] Remote sensing techniques for monitoring algal blooms in the area between Jeddah and Rabigh on the Red Sea Coast

B Alharbi - Remote Sensing Applications: Society and …, 2023 - Elsevier
Abstract The Red Sea is known to host and facilitate the growth and reproduction of several
species of phytoplankton and algae. The degree of density and distribution of these …