Linking geomorphic systems theory and remote sensing : a conceptual approach to Alpine landform detection (Reintal, Bavarian Alps, Germany)
Linking geomorphic systems theory and remote sensing : a conceptual approach to Alpine landform detection (Reintal, Bavarian Alps, Germany)
复制标题
连接地貌系统理论和遥感：高山地貌检测的概念方法（Reintal，巴伐利亚阿尔卑斯山，德国）
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
L. Schrott
中科院分区：
文献类型：
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作者：
Nora Jennifer Schneevoigt;L. Schrott
摘要。虽然高山在全球的重要性日益被认识到，但其地貌过程系统尚未被完全理解。虽然系统理论和地理信息系统（GIS）方法长期服务于高山地貌学，但遥感（RS）工具的实施仍然很少。然而，面向对象的图像分析适合高山应用，因为它结合了RS和GIS的优点。在德国莱茵塔尔（巴伐利亚阿尔卑斯山脉），将系统方法与具有数字高程信息的ASTER卫星场景的面向对象分类并行化。在多层次、多尺度的数据分割和分类中，可以高精度地检测高寒地貌。因此，遥感技术是研究高山地貌学的重要工具。
Abstract. Although the global importance of high mountains is increasingly being recognised, their geomorphic process System has not been completely understood as yet. While Systems theory and geographical information Systems (GIS) approaches have been long-serving in alpine geomorphology, the implementation of remote sensing (RS) tools is still rare. However, objeet-oriented image analysis lends itself to alpine applications, as it unites the benefits of RS and GIS. The Systems approach and the object-oriented classification of an ASTER satellite scene with digital elevation information are parallelized in the Reintal (Bavarian Alps). In a hierarchical, multiscale data segmentation and Classification, alpine landforms can be detected with high accuracy. Hence, RS techniques represent a valuable tool for high mountain geomorphology.