Overall, this study can be utilized as a baseline data of forest cover and its spatial and temporal dynamics of Nuristan Province, where the effort was to exploit the potential of freely available, medium-resolution Landsat data series that might contribute in future forest management, restoration, and conservation at a local, provincial, and national level in Afghanistan. The specific objectives to achieve the overall objective of this study are: (i) ascertaining the current status of the forest cover, (ii) mapping forest cover in 1998, 2008, and 2016, and (iii) detecting forest cover change between 16. Therefore, this study aims to detect deforestation in six districts of Nuristan Province over the past three decades using object-based classification of Landsat imagery. In such a situation, remote sensing technology offers practical and economical means to acquire reliable, consistent, and up-to-date information for assessing forest cover and monitoring its spatial and temporal dynamics, especially in areas where field data collection is nearly impossible. Deforestation and forest degradation are among significant environmental issues in Afghanistan but has not been studied intensively due to insecurity, confined budget, lack of expertise, and limited accessibility to new technology.
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