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Land cover change analysis of the Yucatan Peninsula using landsat data from 1985 to 2010

机译:尤卡坦半岛土地覆盖变化分析,使用的是1985年至2010年的陆地卫星数据

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Local-scale vegetation change is one of the driving forces of global climate change, and forest loss in tropical countries is among the largest contributors to carbon emissions into the atmosphere. Lately several studies have employed Landsat data for forest change mapping but mainly focused on temperate regions. This study tests the Vegetation Change Tracker (VCT) in a tropical area. The northeastern section of the Peninsula of Yucatan was analyzed using 19 images of 30m Landsat data from 1985 to 2010. Accuracy assessment using reference polygons depicted high commission and omission errors, in many cases due to differences in spatial delineation of classified and visually-interpreted change polygons. The change rates were mostly smaller than 1% and thus in correspondence to other statistical sources. For areas with available secondary information, changes were linked to disturbance types, i.e. the cause of land cover change, which is an important information for carbon modelers.
机译:地方尺度的植被变化是全球气候变化的驱动力之一,热带国家的森林流失是造成向大气中碳排放的最大因素之一。最近有几项研究将Landsat数据用于森林变化制图,但主要集中在温带地区。这项研究测试了热带地区的植被变化追踪器(VCT)。使用1985年至2010年期间的30m Landsat数据的19张图像对尤卡坦半岛东北部区域进行了分析。使用参考多边形进行的精度评估描绘了较高的佣金和漏失误差,在许多情况下,这是由于分类和视觉解释的变化的空间描绘差异而导致的。多边形。变化率大多小于1%,因此与其他统计来源相对应。对于具有辅助信息的区域,变化与扰动类型相关,即土地覆被变化的原因,这对于碳建模人员来说是重要的信息。

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