Assessment of Forest Covers Change in Tropical Moist Deciduous Forest in Thakurgaon, Bangladesh Using ALOS Data(<Special Issue>Multipurpose Forest Management)

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The purpose of this study was to outline the present pattern of forest cover and change in Thakurgaon, northern Bangladesh. Forest cover changes were identified and approximately delineated by remote sensing. Remote sensing technologies are used to monitor forests in many parts of the world. The availability of extensive and timely imagery from various satellite sensors can aid in identifying forest area and the rates and patterns of deforestation. We conducted a comprehensive assessment of forest cover changes in Thakurgaon from 2006 to 2008 using imagery from the Advanced Land-Observing Satellite (ALOS). Bangladesh is poor in forest resources, with approximately 14% forest cover in the country as a whole and only about 3% cover in the Thakurgaon area. Rapid population expansion has resulted in increased wood consumption and resource overexploitation that have degraded forest reserves. Near major population centers, large areas have been rapidly converted from forested to non-forested land. The most evident cause of forest loss is conversion of forest to agriculture, for both food and cash crop plantations. By analysis of ALOS imagery, we could clearly identify changes. The results can help foresters identify endangered areas and prioritize management. We found marked increases in forest area in places protected by local governments or private forest owners. Some cultivable land areas were converted into forest and open forest land, although these results may have been affected by cloud cover in the satellite imagery.
森林計画学会の論文

Assessment of Forest Covers Change in Tropical Moist Deciduous Forest in Thakurgaon, Bangladesh Using ALOS Data(<Special Issue>Multipurpose Forest Management)

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