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High resolution Crop Surface Models (CSM) and Crop VolumeModels (CVM) on field level by terrestrial laser scanning

机译:陆地激光扫描的高分辨率裁剪表面模型(CSM)和裁剪体积(CVM)在现场水平上

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The interdisciplinary Transregional Collaborative Research Center 32 (CRC/TR 32) works on exchange processes between soil, vegetation, and the adjacent atmospheric boundary layer (SVA). Within this research project a terrestrial laser scanning sensor is used in a multitemporal approach for determining agricultural plant parameters. In contrast to other studies with phase-change or optical probe sensors, time-of-flight measurements are used. On three dates in the year 2008 a sugar beet field (4.3 ha) in Western Germany was surveyed by a terrestrial laser scanner (Riegl LMS-Z420i). Point clouds are georeferenced, trimmed, and compared with official elevation data. The estimated plant parameters are (i) surface model comparison between different crop surfaces and (ii) crop volumes as well as (iii) soil roughness parameters for SVA-Modelling. The results show, that the estimation of these parameters is possible and the method should be validated and extended.
机译:跨学科转基协作研究中心32(CRC / TR 32)适用于土壤,植被和邻近大气边界层(SVA)之间的交换过程。在该研究中,将陆地激光扫描传感器用于多型方法,用于确定农业植物参数。与具有相变或光学探针传感器的其他研究相比,使用飞行时间测量。在2008年的三个日期,德国西部的糖甜菜领域(4.3公顷)被陆地激光扫描仪(Riegl LMS-Z420i)进行了调查。点云是地理位置,修剪的,并与官方高程数据进行比较。估计的植物参数是(i)不同作物表面和(ii)作物体积以及SVA建模的土壤粗糙度参数之间的表面模型比较。结果表明,可以估计这些参数,并且该方法应验证并扩展。

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