AUTHOR=Rondon Marcela , Ewane Ewane Basil , Abdullah Meshal M. , Watt Michael S. , Blanton Austin , Abulibdeh Ammar , Burt John A. , Rogers Kerrylee , Ali Tarig , Reef Ruth , Mohtar Rabi , Sidik Frida , Fahrenberg Monique , de-Miguel Sergio , Galgamuwa G. A. Pabodha , Charabi Yassine A. R. , Arachchige Pavithra S. Pitumpe , Velasquez-Camacho Luisa F. , Al-Awadhi Talal , King Shalini , Srinivasan Shruthi , Jaafar Wan Shafrina Wan Mohd , Montenegro Jorge F. , Karakasidou Eleni , Pons Judith , Abbady Maram Jameel , Cardil Adrian , Doaemo Willie , Mohan Midhun TITLE=Remote sensing-based assessment of mangrove ecosystems in the Gulf Cooperation Council countries: a systematic review JOURNAL=Frontiers in Marine Science VOLUME=10 YEAR=2023 URL=https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2023.1241928 DOI=10.3389/fmars.2023.1241928 ISSN=2296-7745 ABSTRACT=

Mangrove forests in the Gulf Cooperation Council (GCC) countries are facing multiple threats from natural and anthropogenic-driven land use change stressors, contributing to altered ecosystem conditions. Remote sensing tools can be used to monitor mangroves, measure mangrove forest-and-tree-level attributes and vegetation indices at different spatial and temporal scales that allow a detailed and comprehensive understanding of these important ecosystems. Using a systematic literature approach, we reviewed 58 remote sensing-based mangrove assessment articles published from 2010 through 2022. The main objectives of the study were to examine the extent of mangrove distribution and cover, and the remotely sensed data sources used to assess mangrove forest/tree attributes. The key importance of and threats to mangroves that were specific to the region were also examined. Mangrove distribution and cover were mainly estimated from satellite images (75.2%), using NDVI (Normalized Difference Vegetation Index) derived from Landsat (73.3%), IKONOS (15%), Sentinel (11.7%), WorldView (10%), QuickBird (8.3%), SPOT-5 (6.7%), MODIS (5%) and others (5%) such as PlanetScope. Remotely sensed data from aerial photographs/images (6.7%), LiDAR (Light Detection and Ranging) (5%) and UAV (Unmanned Aerial Vehicles)/Drones (3.3%) were the least used. Mangrove cover decreased in Saudi Arabia, Oman, Bahrain, and Kuwait between 1996 and 2020. However, mangrove cover increased appreciably in Qatar and remained relatively stable for the United Arab Emirates (UAE) over the same period, which was attributed to government conservation initiatives toward expanding mangrove afforestation and restoration through direct seeding and seedling planting. The reported country-level mangrove distribution and cover change results varied between studies due to the lack of a standardized methodology, differences in satellite imagery resolution and classification approaches used. There is a need for UAV-LiDAR ground truthing to validate country-and-local-level satellite data. Urban development-driven coastal land reclamation and pollution, climate change-driven temperature and sea level rise, drought and hypersalinity from extreme evaporation are serious threats to mangrove ecosystems. Thus, we encourage the prioritization of mangrove conservation and restoration schemes to support the achievement of related UN Sustainable Development Goals (13 climate action, 14 life below water, and 15 life on land) in the GCC countries.