The objective of this research was to detect changes in forest areas and, subsequently, the potential forest area that can be extended in the South Sumatra province of Indonesia, according to the Indonesian forest resilience classification zones. At first, multispectral satellite remote sensing datasets from Landsat 7 ETM+ and Landsat 8 OLI were classified into four classes, namely urban, vegetation, forest and waterbody to develop Land Use/Land Cover (LULC) maps for the year 2003 and 2018. Secondly, criteria, namely distance from rivers, distance from roads, elevation, LULC and settlements were selected and the reclassified maps were produced from each of the criteria for the land suitability analysis for forest extension. Thirdly, the Analytical Hierarchy Process (AHP) was incorporated to add expert opinions to prioritize the criteria referring to potential areas for forest extension. In the change detection analysis, Tourism Recreation Forest (TRF), Convertible Protection Forest (CPF) and Permanent Production Forest (PPF) forest zones had a decrease of 20%, 13% and 40% in area, respectively, in the forest class from 2003 to 2018. The Limited Production Forest (LPF) zone had large changes and decreased by 72% according to the LULC map. In the AHP method, the influential criteria had higher weights and ranked as settlements, elevation, distance from roads and distance from rivers. CPF, PPF and LPF have an opportunity for extension in the highly suitable classification (30%) and moderately suitable classification (41%) areas, to increase coverage of production forests. Wildlife Reserve Forests (WRFs) have potential for expansion in the highly suitable classification (30%) and moderately suitable classification (52%) areas, to keep biodiversity and ecosystems for wildlife resources. Nature Reserve Forests (NRFs) have an opportunity for extension in the highly suitable classification (39%) and moderately suitable classification (48%) areas, to keep the forests for nature and biodiversity. In case of TRF, there is limited scope to propose a further extension and is required to be managed with collaboration between the government and the community.

中文翻译：

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基于卫星遥感和GIS的印尼潜在林区扩展检测与土地适宜性分析

这项研究的目的是发现森林面积的变化，以及随后根据印度尼西亚森林复原力分类区，在印度尼西亚南苏门答腊省可以扩展的潜在森林面积。首先，将Landsat 7 ETM +和Landsat 8 OLI的多光谱卫星遥感数据集分为四类，分别是城市，植被，森林和水体，以开发2003年和2018年的土地利用/土地覆盖图（LULC）。选择与河流的距离，与道路的距离，海拔，LULC和居住区的标准，并根据每种标准对森林扩展的土地适宜性分析制作重新分类的地图。第三，引入了层次分析法（AHP），以增加专家意见，从而优先考虑涉及森林扩展潜在领域的标准。在变化检测分析中，与之相比，旅游休闲林（TRF），可转换保护林（CPF）和永久生产林（PPF）林区的面积分别减少了20％，13％和40％。 2003年至2018年。根据LULC地图，有限生产林（LPF）区发生了较大变化，下降了72％。在层次分析法中，有影响力的标准具有较高的权重，并被列为沉降，海拔，距道路的距离和距河的距离。CPF，PPF和LPF有机会在高度合适的分类（30％）和中等合适的分类（41％）区域中扩展，以增加生产林的覆盖率。野生生物保护区森林（WRF）有潜力在高度合适的分类（30％）和中等合适的分类（52％）领域中扩展，以保持生物多样性和生态系统为野生动植物资源。自然保护区森林（NRF）有机会在高度合适的分类（39％）和中等合适的分类（48％）领域进行扩展，以保持森林的自然和生物多样性。如果是TRF，则提议进一步扩展的范围有限，并且需要通过政府与社区之间的协作来进行管理。自然保护区森林（NRF）有机会在高度合适的分类（39％）和中等合适的分类（48％）领域进行扩展，以保持森林的自然和生物多样性。如果是TRF，则提议进一步扩展的范围有限，并且需要通过政府与社区之间的协作来进行管理。自然保护区森林（NRF）有机会在高度合适的分类（39％）和中等合适的分类（48％）领域进行扩展，以保持森林的自然和生物多样性。如果是TRF，则提议进一步扩展的范围有限，并且需要通过政府与社区之间的协作来进行管理。