2017
DOI: 10.1016/j.apgeog.2017.07.016
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Land change in the central Albertine rift: Insights from analysis and mapping of land use-land cover change in north-western Rwanda

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Cited by 58 publications
(29 citation statements)
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“…The humid natural forest, eucalyptus plantations and degraded natural forest are the dominant forest types across Rwanda [59]. Natural events, such as landslides [19] and human causes, including cropland expansion, timber harvesting, charcoal and firewood demands, logging operations, and illegal mining activities in forestland without appropriate technology for forest protection, constitute Sustainability 2020, 12, 50 5 of 23 unsustainable practices posing serious disturbances on forest ecosystems [26,28,59,60]. Therefore, impacts arising from human disturbances, coupled with natural hazards, can reduce forest sustainability and soil productivity [61].…”
Section: Land Use/land Cover (Lulc) Of Rwandamentioning
confidence: 99%
“…The humid natural forest, eucalyptus plantations and degraded natural forest are the dominant forest types across Rwanda [59]. Natural events, such as landslides [19] and human causes, including cropland expansion, timber harvesting, charcoal and firewood demands, logging operations, and illegal mining activities in forestland without appropriate technology for forest protection, constitute Sustainability 2020, 12, 50 5 of 23 unsustainable practices posing serious disturbances on forest ecosystems [26,28,59,60]. Therefore, impacts arising from human disturbances, coupled with natural hazards, can reduce forest sustainability and soil productivity [61].…”
Section: Land Use/land Cover (Lulc) Of Rwandamentioning
confidence: 99%
“…Although abundant information regarding certain aspects of African forests is available, including forest cover change [4][5][6][7][8], forest gains, and forest management guidelines, there is little information available on forest stand structures and dynamics. There is a need to strengthen and integrate national institutions to increase the capacity for countries in Africa to enforce forest laws and control the drivers of deforestation and forest degradation.…”
Section: Introductionmentioning
confidence: 99%
“…After image classification, we performed accuracy assessment and land use change detection through functions under the postprocessing tab in SCP. To validate the classified image, 100 random sampling points were used for each year [75]. Land use classes were determined through Google Earth images for the different assessment years.…”
Section: Methodsmentioning
confidence: 99%