ABSTRACT Forests and afforestation have significant importance, given the present course of World’s climate resulting from our insensitive behaviours, policies, ambitions, etc. Turkish Forest Service has departments, sole purposes of which are to combat desertification through afforestation, flood control, and watershed rehabilitation works. Majority of the works is carried out in the semi-arid central part of the country, which is known as the Irano-Turanian phytogeographic region. Hydroelectric dam projects, which have extensively been conducted to produce energy and to harness the rivers when needed, have been at the centre of these efforts in the region. Afforestation works, which have long been used to safeguard dam reservoirs, have always been associated with such projects because they are implemented even prior to water deposition. They along with the country’s managed forests are looked after as the natural forest cover. Improvements in remote sensing at this point enabled the agencies to diversify their efforts in monitoring the natural resources and strengthening the decision makers’ hand in management preferences in both global and regional scales. There are various data produced through the classification of satellite imagery representing the existence or the percentage of forests in any location on Earth. In this study, Global Phased Arrayed L-band Synthetic Aperture Radar PALSAR-2/PALSAR mosaic and forest/non-forest maps of Japan Aerospace Exploration Agency (JAXA) and Global Forest Cover Change (GFCC) thematic image tiles of National Aeronautics and Space Administration (NASA), which are two of the widely accepted such data, were compared to one another and to our control results produced by a pixel-based classification method to assess the performance of afforestation works around seven major hydroelectric dam reservoirs situated within the central part of Turkey. The results showed that Global PALSAR-2/PALSAR forest/non-forest maps were somewhat capturing the trend, but overly exaggerating the ground facts up to 1064%. GFCC epochs, on the other hand, did not yield sound results in this semi-arid part of Turkey. Latter data could not even capture the successfully afforested sites.

中文翻译：

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通过土耳其植树造林实践检查 PALSAR-2 全球森林/非森林地图

摘要 森林和植树造林具有重要意义，因为我们不敏感的行为、政策、野心等导致了世界气候的当前进程。土耳其林务局设有部门，其唯一目的是通过植树造林、防洪和流域恢复来防治荒漠化作品。大部分工作在该国半干旱的中部地区进行，该地区被称为伊朗-图拉尼亚植物地理区域。水电大坝项目广泛用于生产能源和在需要时治理河流，是该地区这些努力的核心。长期以来一直用于保护大坝水库的植树造林工程一直与此类项目相关联，因为它们甚至在积水之前就已实施。它们与国家管理的森林一起被视为天然森林覆盖。在这一点上遥感的改进使各机构能够在监测自然资源和加强决策者在全球和区域范围内的管理偏好方面进行多样化的努力。通过卫星图像分类产生的各种数据代表地球上任何位置的森林的存在或百分比。在这项研究中，全球相控阵 L 波段合成孔径雷达 PALSAR-2/PALSAR 马赛克和日本宇宙航空研究开发机构 (JAXA) 的森林/非森林地图和美国国家航空航天局的全球森林覆盖变化 (GFCC) 专题图块美国国家航空航天局 (NASA)，这是被广泛接受的两个此类数据，相互比较，并与我们通过基于像素的分类方法产生的控制结果进行比较，以评估位于土耳其中部的七个主要水电大坝水库周围的造林工程的性能。结果表明，全球 PALSAR-2/PALSAR 森林/非森林地图在一定程度上捕捉了这一趋势，但过度夸大了地面事实，高达 1064%。另一方面，GFCC 时期在土耳其的这个半干旱地区并没有产生良好的结果。后期数据甚至无法捕获成功造林的地点。结果表明，全球 PALSAR-2/PALSAR 森林/非森林地图在某种程度上捕捉了这一趋势，但将地面事实夸大了 1064%。另一方面，GFCC 时期在土耳其的这个半干旱地区并没有产生良好的结果。后期数据甚至无法捕获成功造林的地点。结果表明，全球 PALSAR-2/PALSAR 森林/非森林地图在某种程度上捕捉了这一趋势，但将地面事实夸大了 1064%。另一方面，GFCC 时期在土耳其的这个半干旱地区并没有产生良好的结果。后期数据甚至无法捕获成功造林的地点。