AlexanderAlmeroth/RS_Mangroves_SALBIA

This Gitgub is storing all scripts, files and necessary information for the remote-sensing based assessement of the mangrove distribution in The Gambia. ## RS_Mangroves_SALBIA ## How to cite - Land Cover Classification: Almeroth, Alexander (2025). Land Use Classification of The Gambia. figshare. Dataset. doi.org - Landsat Composites: Almeroth, Alexander (2025). Landsat Composites The Gambia. figshare. Dataset. doi.org - Maps and Figures: Almeroth, Alexander (2025). Land use cover and change detection in The Gambia between 1988 and 2023. figshare. Figure. doi.org #### Currently there is a paper in the work which will be linked once it is published. For now please refer to the citations above. ## Motivation A major challenge in conservation and valuation of mangroves is the limited availability of spatial data on mangrove distribution and the absence of a standardized methodology for evaluating long term dynamics. We mapped vegetation and land cover dynamics in The Gambia (West-Africa) using LANDSAT imagery utilizing Google Earth Engine. We implemented a supervised random forest machine learning algorithm to classify The Gambia categorizing 5 time steps (1988, 1999, 2010, 2020, 2023) in 5 land cover classes: Water, Non-wooded dryland, Mudflat, Mangroves, Continental woodland). The methodology was developed during a ERASMUS-internship at the IDAEA (Instituto de Diagnóstico Ambiental y Estudios del Agua - CSIC) by Alexander Almeroth in collaboration with Julien Andrieu (University of Côte d'Azur), Chris Brown (University of Tasmania), Miguel Cañedo-Argüelles Iglesias (Spanish National Research Council), Núria Catalán (Spanish National Research Council) and Pablo Rodríguez-Lozano (Universidad Autónoma de Madrid). This Gitgub is storing all scripts, files and necessary information for the remote-sensing based assessement of the mangrove distribution in The Gambia. ## Project Structure 1 /Scripts_GEE - contains 1 script per year (1988_Script, ...) - /Scripts_GEE/Imports_GEE - contains the respective …