ASSESSING THE EXTENT AND SEVERITY OF EROSION ON THE UPLAND ORGANIC SOILS OF SCOTLAND USING EARTH OBSERVATION AND OBJECT ORIENTATED CLASSIFICATION METHODS
ASSESSING THE EXTENT AND SEVERITY OF EROSION ON THE UPLAND ORGANIC SOILS OF SCOTLAND USING EARTH OBSERVATION AND OBJECT ORIENTATED CLASSIFICATION METHODS
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使用地球观测和面向对象的分类方法评估苏格兰高地有机土壤的侵蚀程度和严重程度
DOI：
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发表时间：
2010
期刊：
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通讯作者：
W. JarmanM
中科院分区：
文献类型：
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作者：
Medcalf K.A;W. JarmanM
苏格兰的大部分高地都覆盖着有机泥炭土，这些泥炭土占全球泥炭资源的很大一部分。泥炭生态系统在全球碳循环中发挥着关键作用，它在泥炭积累过程中封存大气中的碳，并在侵蚀过程中释放二氧化碳和甲烷形式的碳气体。该项目旨在寻找一种具有成本效益的方法，在苏格兰北部Monadhliath山脉320平方公里的研究区域内识别泥炭侵蚀特征。采用了一种创新的、面向对象的分类系统方法。在Definiens识别软件中，准备了SPOT5， IRS P6和ASTER卫星图像，包括完整的几何和大气校正。为了获得所需的空间细节，将数字航空摄影集成到自动化处理链中。该图像数据由提供一组核心专题信息的GIS数据集加以补充。采用图像分割和规则库的方法，将航空照片的空间细节与卫星图像的光谱细节和GIS层的专题属性相结合。产生了两个级别的分类：“核心级别”数据和“应用级别”数据。应用级数据以泥炭侵蚀图的形式从核心级数据中生成。他们成功地确定了侵蚀的特征，从只有一米宽的小沟壑到更大的裸露的泥炭地。总体地图的计算精度超过84%，分类地图与现场数据和航空图像之间的视觉一致性很明显。
Much of Scotland’s uplands are covered by organic peat soils, these form a significant proportion of the global peat resource. Peat ecosystems play a key role in the global carbon cycle through sequestration of atmospheric carbon during peat accumulation, and release of carbon gases in the form of CO2 and methane when they erode. This project set out to find a cost-effective means of identifying peat erosion features within a study area of 320 sq km on the Monadhliath Mountains in Northern Scotland. An innovative, object-orientated classification system method was used. Within Definiens eCognition software, SPOT5, IRS P6 and ASTER satellite imagery were prepared, including full geometric and atmospheric correction. In order to obtain the spatial detail required, digital aerial photography was integrated into the automated processing chain. This image data was complemented by GIS datasets that provided a set of core thematic information. Using image segmentation and a rule-base the spatial details from the air photos were integrated with the spectral detail from the satellite imagery and the thematic attributes from the GIS layers. Two levels of classification were produced: ‘core level’ data and ‘application level’ data. The application level data was produced from the core level data in the form of peat erosion maps. Erosion features were successfully identified that ranged from small gullies only a metre across, to larger exposed bare peat areas. Overall map accuracy was calculated at over 84%, with clear visual coincidence between the classified map and both the in-situ field data and aerial imagery.