| Abstract |
Miombo’s ecosystem with its large area, which makes it the largest expanse of dry forest in the world, and its biodiversity provides some livelihoods to over 100 million people in urban and rural areas. However, its unsustainable use, and scarce knowledge of its dynamic and sustainable forest management are a challenge in developing further studies to procure a long-term conservation, due to its socio-economic role in sub-Saharan Africa and the environment at a global level. Among the many resources currently available to answer to this challenge, in this paper was opted for the use of multispectral sensors with a spatial mean resolution to typify the Miombo forest in the municipality of Bailundo (Huambo-Angola). In this study, Sentinel 2A images were used, which were processed in the Quantum Gis software with the SPC (Semi-Automatic Classification Plugin) plugin. The main land cover classes were agriculture (37,59%), forests (36,54%) and bare soil (24,58%). The closed woodland account for 7,51% (52.765,83 ha) and the open woodland 29,03% (203.866,15 ha). According to the average annual rainfall, there was a predominance of medium Miombo (196.630 hectares) in relation to the dense Miombo (59.972 hectares). Miombo’s forests in Bailundo are mostly in areas above 1.550 metres in altitude. Keywords: Sentinel 2A, land use, Bailundo, distribution of the Miombo. |
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