Change
detection of land-cover to recommend the future directions of land-use is
indispensable for sustainable development and the proper utilization of land
resources. In this research, unsupervised classification maps produced using
images of Landsat 8 OLI from 2013 until 2021 (with a 4-year interval) reveal important land-cover changes, along with their
drivers, in Kapasia, Bangladesh. Overall, a substantial increase in paddy
(24.7% to 27.2%) and urban (3.5% to 10.1%) and a decrease in homestead
(67.5% to 59.3%) and forest (4.2% to 3.4%) were observed within the time interval. To direct the land-use towards long-term
biodiversity and sustainability of the region, it is important to implement
types of agroforestry systems as the observed decrease in homestead and forest
areas are alarming. Agroforestry practices will not only have
a positive environmental impact but can help diversify food systems, increase
economic return and optimize natural resource use.
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