Land Use Classification of The Gambia

These rasters originate from a Random Forest Classification Algorithm applied in Google Earth Engine and have been manually and automatically corrected for errors. The classes are as follows: Water 0, Non-wooded Dryland 1, Mudflat 2, Mangrove 3, Continental Woodland 4Post classification correction: 2 of them (2010 and 2023) have been manually corrected using the ServalPlugin in QGIS. Furthermore conversions between continental woodland and mangrove within a single time step were restricted. Also transitions between Non-wooded Dryland and Mangrove class have been restricted. This post-classification-correction was applied in RStudio. <br>Further information can be found in a paper that is about to be published. Also this Github compiles all the code and further information: https://github.com/AlexanderAlmeroth/RS_Mangroves_SALBIA.git<br>