Global land use land cover (LULC) maps are essential for monitoring
forest dynamics and are a useful tool for any spatial planner. An
increasing number of institutes are interested in producing such maps,
especially with freely available high-resolution imagery and the
emergence of new classification techniques. However, these maps should
be submitted to an accuracy assessment for more accurate and effective
use at the regional, national, and local scales. In this study, two
products, the European Space Agency World Cover 2020 (ESA WC2020) and
Sentinel-2 10 m Land Use/Land Cover Time Series (ESRI LC2020), were
subjected to an accuracy assessment at the local scale, particularly in
Talassemtane National Park (TNP). The results showed an overall accuracy
of 56.90 % for the ESA product and 83.56% for the ESRI product. Forest
cover is the most accurate land cover class for both products. In
addition, area-based accuracy was used to adjust each class’s area and
evaluate uncertainty. Finally, spatial agreement between the two
products was achieved using change detection analysis, which showed a
result of 70% at the local level. This work will be used in studies in
the TNP area to distinguish between forest and non-forest land,
particularly to monitor deforestation.