Object-based classification of landforms based on their local geometry and geomorphometric context
Object-based classification of landforms based on their local geometry and geomorphometric context
复制标题
DOI：
10.1080/13658816.2011.558845
复制
发表时间：
2011-01-01
影响因子：
5.7
通讯作者：
Strobl, Josef
中科院分区：
文献类型：
--
作者：
Gercek, Deniz;Toprak, Vedat;Strobl, Josef
地形作为一个连续体，可以分为地貌单元，表现出共同的物理和形态特征的土地表面，可以作为一个边界条件，为广泛的应用领域。然而，异构的意见，定义和应用程序的地貌产生不兼容的命名，缺乏互操作性。然而，仍有发展的空间，为不同学科的景观描述，也是常识的人类洞察力的基础，可以提供土地表面到地貌的分类方法。本研究提出了一种地貌分类方法，揭示一般地貌景观。一组地形类，这是常识的人类洞察力和相关的各种学科被用来生成地形在景观尺度。建议的分类方法是基于当地的几何形状的表面和地貌的背景下，在一个更高层次的框架。利用一组相应比例尺的数字地形模型（DTM），用地形测量DTM表示局部几何形状，并通过“相对地形位置”和“地形网络”结合地形测量上下文。利用了“基于对象的图像分析”工具，该工具能够将DTM分割和分类为具有代表性的地形对象，并将这些对象以多级层次结构连接起来。通过模糊分类表示地貌在属性和地理空间上的模糊性。将该方法应用于两个不同的案例区域，以评估结果的有效性和稳定性。结果揭示了一个合理的一致性，地形类可以被用作一般或多用途的一些模糊性，已经在地形。
Terrain as a continuum can be categorized into landform units that exhibit common physical and morphological characteristics of land surface which may serve as a boundary condition for a wide range of application domains. However, heterogeneous views, definitions, and applications on landforms yield incompatible nomenclature that lacks interoperability. Yet, there is still room for developing methods for classification of land surface into landforms that can provide different disciplines with a basis of landscape description that is also commonsense to human insight.This study proposes a method of landform classification that reveals general geomorphometry of the landscape. A set of landform classes that are commonsense to human insight and relevant to various disciplines is adopted to generate landforms at the landscape scale. The proposed classification method is based on local geometry of the surface and the geomorphometric context in a higher level framework. A set of digital terrain models (DTMs) at relevant scale is utilized where local geometry is represented with morphometric DTMs, and the geomorphometric context is incorporated through 'relative terrain position' and 'terrain network.' 'Object-based image analysis' tools that have the ability to segment and classify DTMs into representative terrain objects and connect those objects in a multi-level hierarchy is utilized. Ambiguities in landforms both in attribute and geographical space are represented via fuzzy classification. The proposed method is applied to two different case areas to evaluate the efficiency and stability of the outcomes. Results reveal a reasonable amount of consistency where landform classes can be utilized as general or multi-purpose regarding some ambiguity that is already inherent in landforms.