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Mapping peatland disturbance in Ireland: an object oriented approach

机译:在爱尔兰的泥土干扰:面向对象的方法

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Peatlands contain large amounts of soil organic carbon. In a pristine state they sequester atmospheric carbon dioxide (CO_(2)), however, when they are disturbed they emit it. In Ireland peatlands are extensive and cover 20percent of the national land area. They contain between 53percent and 62percent of the total national soil organic carbon. However, large areas of Irish peatlands have been disturbed by anthropogenic activity. This activity includes drainage, mechanical extraction and burning. These activities lead to the reduction of the resilience of the peatland to climate and environmental change and can lead to the increased vulnerability of the peatland carbon stock. In this research an object oriented approach is used to examine high resolution imagery of a raised bog in Ireland and to extract a map of disturbed peatlands. The object oriented approach is implemented in ArcGIS with high resolution Geoeye-1 satellite imagery. The main disturbance classes identified were rough grazing, pasture, molinia, coniferous forest, high bog, drained bog and scrub. The users accuracy for each individual class ranged from 66percent to 92percent and the overall accuracy assessment for the disturbance map 85percent.
机译:泥炭地含有大量的土壤有机碳。在原始状态下,它们隔离大气二氧化碳(CO_(2)),当它们被打扰时它们发出。在爱尔兰泥炭地广泛,覆盖了国家土地面积的20平方。它们含有53平方和62%的国家土壤有机碳。然而,大面积的爱尔兰泥炭地区受到人为活性的干扰。该活性包括排水,机械提取和燃烧。这些活动导致减少泥炭地对气候和环境变化的抵御能力,并导致泥炭碳股票的脆弱性增加。在本研究中,一种面向对象的方法用于检查爱尔兰凸起沼泽的高分辨率图像,并提取受干扰的泥炭地图。面向对象的方法是在ArcGIS中实现,具有高分辨率Geoeye-1卫星图像。确定的主要扰动课程是粗糙的放牧,牧场,莫里尼亚,针叶林,高沼泽,排水沼泽和磨砂膏。用户对每个单独的等级的准确性范围从665分钟到92%,以及干扰图855555的整体准确性评估。

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