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ESTIMATION OF SOIL CONDITION BASED ON THE CHANGE OF LAND USE AND DIGITAL ELEVATION MODEL

机译:基于土地利用变化和数字高程模型的土壤条件估算

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The knowledge about the condition of the ground is a crucial factor that controls damage due to natural disasters. However, to collect information on the ground condition over a wide area is not an easy task. In order to solve this issue, the authors have looked at the fact that the condition of the ground is closely related to the landform. This paper aims to establish a method for obtaining landform classification in a wide area based on land use and its change. A fundamental method has already been proposed in the previous study in which Chiba city and its surrounding area were considered and it was pointed out that land use of old times and satellite (Landsat/TM) data are effective to this classification. In this study, this method of classification has been extended such that a new target area was selected and a new method of image classification was applied. This image classification is based on image objects rather than individual pixels. Image objects have a various attributes in addition to spectral intensity of pixels. In addition, Digital Elevation Model(DEM) was used in order to distinguish between table land and local relief. DEM is constructed as 50 meter mesh data, and is published throughout the country in Japan. From this study, it was found that the proposed method is applicable to areas other than Chiba and that image objects are effective for classification.
机译:关于地面状况的知识是控制由于自然灾害导致损害的关键因素。但是,要收集关于地面条件的信息,而不是一项简单的任务。为了解决这个问题,作者看过,地面的状况与地貌密切相关。本文旨在建立一种基于土地利用及其变化在广域地区获得地形分类的方法。在前面的研究中已经提出了一种基本方法,其中考虑了千叶市及其周边地区,并指出了旧时代和卫星(Landsat / TM)数据的土地利用对这一分类有效。在本研究中,已经延长了这种分类方法,使得选择了新的目标区域,并应用了一种新的图像分类方法。此图像分类基于图像对象而不是单个像素。除了像素的光谱强度之外,图像对象还具有各种属性。此外,使用数字高度模型(DEM)以区分桌子土地和局部浮雕。 DEM构建为50米网格数据,并在日本全国各地发布。从本研究开始,发现该方法适用于千叶以外的区域,并且图像对象对于分类是有效的。

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