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Terrestrial laser scanning improves digital elevation models and topsoil pH modelling in regions with complex topography and dense vegetation

机译:地面激光扫描可改善地形复杂且植被茂密的地区的数字高程模型和表土pH建模

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摘要

Terrestrial Laser Scanning (TLS) has great potential in creating high resolution digital elevation models (DEMs). However, little is known about the properties of TLS derived DEMs covering several hectares in heterogeneous environments compared to conventional airborne laser scanning (ALS) based models and their influence on derived products. We investigated the accuracy of DEMs with different resolutions derived from TLS and high quality ALS on a study site with complex micro-topography covered by dense forest and ground vegetation. We further examined the effect of these DEMs on predicted topsoil pH using linear regression models built on terrain attributes. We show that at high resolutions (∼1 m), TLS based DEMs performed better than ALS DEMs, which directly translated into significantly better pH models, the best of which showing an R2 of 0.62. The use of TLS therefore improves the quality of terrain attributes, which are the foundation for many ecological and hydrological applications.
机译:地面激光扫描(TLS)在创建高分辨率数字高程模型(DEM)方面具有巨大潜力。但是,与基于传统机载激光扫描(ALS)的模型相比,关于TLS衍生的DEM在异质环境中占地数公顷的属性的性质及其对衍生产品的影响知之甚少。我们在一个由茂密的森林和地面植被覆盖的复杂微观地形的研究站点上,研究了从TLS和高质量ALS获得的具有不同分辨率的DEM的准确性。我们使用基于地形属性的线性回归模型进一步检查了这些DEM对预测表土pH的影响。我们显示,在高分辨率(〜1 m)下,基于TLS的DEM比ALS DEM表现更好,后者直接转化为明显更好的pH模型,其中最好的R2为0.62。因此,使用TLS可以提高地形属性的质量,这是许多生态和水文应用程序的基础。

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