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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >LiDAR-Derived Surface Roughness Texture Mapping: Application to Mount St. Helens Pumice Plain Deposit Analysis
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LiDAR-Derived Surface Roughness Texture Mapping: Application to Mount St. Helens Pumice Plain Deposit Analysis

机译：LiDAR得出的表面粗糙度纹理贴图：在圣海伦斯浮岩平原沉积分析中的应用

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摘要

Statistical measures of patterns (textures) in surface roughness are used to quantitatively differentiate volcanic deposit facies on the Pumice Plain, on the northern flank of Mount St. Helens (MSH). Surface roughness values are derived from a Light Detection and Ranging (LiDAR) point cloud collected in 2004 from a fixed-wing airborne platform. Patterns in surface roughness are characterized using co-occurrence texture statistics. Pristine-pyroclastic, reworked-pyroclastic, mudflow, boulder beds, eroded lava flows, braided streams, and other units within the Pumice Plain are all found to have significantly distinct roughness textures. The MSH deposits are reasonably accessible, and the textural variations have been verified in the field. Results of this work indicate that by affecting the distribution of large clasts and tens-of-meter scale landforms, modification of pyroclastic deposits by lahars alters the morphology of the surface in detectable quantifiable ways. When a lahar erodes a pyroclastic deposit, surface roughness increases, as does the randomness in the deposit surface. Conversely, when a lahar deposits material, the resulting landforms are less rough but more random than pristine pumice-rich pyroclastic deposits. By mapping these relationships and others, volcanic deposit facies can be differentiated. This new method of mapping, based on roughness texture, has the potential to aid mapping efforts in more remote regions, both on this planet and elsewhere in the solar system.
机译：使用表面粗糙度模式（纹理）的统计量度来定量区分圣海伦斯山（MSH）北翼的浮石平原上的火山沉积相。表面粗糙度值是根据2004年从固定翼机载平台收集的光检测和测距（LiDAR）点云得出的。使用共现纹理统计来表征表面粗糙度的图案。浮石平原内的原始热碎屑，重加工的碎屑流，泥流，巨石床，侵蚀的熔岩流，辫状流以及其他单元都被发现具有明显不同的粗糙度纹理。 MSH沉积物可合理获取，并且质地变化已在现场得到验证。这项工作的结果表明，通过影响大碎屑和数十米尺度地貌的分布，拉哈斯对火山碎屑沉积物的改变以可检测的可量化方式改变了地表的形态。当拉哈尔侵蚀火山碎屑沉积物时，表面粗糙度会增加，沉积物表面的随机性也会增加。相反，当拉哈尔沉积物时，形成的地貌比原始的富含浮石的火山碎屑沉积物更不粗糙，但随机性更高。通过映射这些关系和其他关系，可以区分火山岩沉积相。这种基于粗糙度纹理的新的制图方法具有帮助在这个星球以及太阳系其他地方的更偏远地区进行制图工作的潜力。

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