| dc.description.abstract | In this study an attempt to generate and predict the encroachment on the forest cover for Bugoma
forest for a period of 3years ever since part of the forest land was given out for sugarcane
plantation. This study was assessed using Sentinel II satellite images of 2020, 2021, and 2022 and
to predict the encroachment for the year 2027 using CA Markov model in Satellite images of
Supervised image classifications with the help of random forest were used in this study. The
validity of the Cellular Automata Markov model was used to predict future of LULC of 2027. The
estimation includes two modules to predict the future land use pattern of the study area such as
MARKOV and CA-MARKOV model/modules.
In the Bugoma central forest reserve, LULC types such as agriculture, grassland, and forests were
discovered. According to the study's findings, between 2020 and 2022, there was a 12% drop in
forest cover and a 9% increase in farmlands. This change in forest cover was mostly caused by
agricultural growth and the region's rising demand for firewood. The habitats of important species
in the region may be impacted by these changes (González-Robles et al., 2020; Romero-Muoz et
al., 2020). Reduced habitat sizes and habitat destruction could result in species restrictions and
extinction. The reduced forest cover was predicted by 2027, which is consistent with prior data
(Gashaw et al., 2017; Liping et al., 2018) and the extent of the forestland cover is projected to be
replaced by farmland in the anticipated period of time, maybe as a result of farming in the future
together with population growth in the region | en_US |
