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首页> 外文期刊>Journal of Forest Planning >A Semi-empirical Topographic Correction Method based on the Relation between Slope-aspect and Mean Radiance.
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A Semi-empirical Topographic Correction Method based on the Relation between Slope-aspect and Mean Radiance.

机译:一种基于坡度与平均辐射率关系的半经验式地形校正方法。

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This study describes the process and theory behind the development of a topographic correction method for practical application to mountainous forest areas. The algorithm for the method is based on the relation between the slope-aspect and the mean radiance of each slope. First we developed a hypothesis about this relationship by visualizing rugged terrain as an aggregation of cones (representing mountains). From this, it can be observed that the sun facing slope is the brightest, gradually loosing its brightness as the slope-aspect moves to the side facing away from the sun. Then, we verified the hypothesis by applying actual data - IKONOS data taken from a test site in Minami Gifu, and found that the method was able to compensate the topographic effect. Then we checked the method using another sensor, other data sources - Aster, LANDSAT and orthophotos, and another test site. Distinct features of the method are its simplicity and general applicability. We can compensate the topographic effect ofa variety of geo-coded data sources (i.e. Aster, LANDAT TM, IKONOS, orthophotos etc) using only digital elevation models. In addition, consistent results can be obtained no matter who operates the method, because the directional and vegetation parametersneeded are almost given. With these 2 parameters the compensation will be automatically done from the images.
机译:这项研究描述了在山区森林地区中实际应用的地形校正方法开发背后的过程和理论。该方法的算法基于坡度与每个坡度的平均辐射率之间的关系。首先,我们通过将崎terrain不平的地形可视化为圆锥体(代表山脉)的集合,提出了关于这种关系的假设。从中可以看出,朝阳的斜坡是最亮的,随着朝着远离太阳的一侧逐渐变暗。然后,我们通过应用实际数据(从南岐阜市的测试站点获得的IKONOS数据)验证了这一假设,并发现该方法能够补偿地形影响。然后,我们使用另一个传感器,其他数据源(Aster,LANDSAT和正射影像)以及另一个测试站点检查了该方法。该方法的独特之处在于其简单性和普遍适用性。我们可以仅使用数字高程模型来补偿各种地理编码数据源(即Aster,LANDAT TM,IKONOS,正射影像等)的地形影响。另外,由于几乎给出了所需的方向和植被参数,无论由谁操作该方法,都可以获得一致的结果。使用这两个参数,补偿将根据图像自动完成。

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