Non-invasive geophysical and remote sensing methods to map and characterize relevant structures and processes

非侵入性地球物理和遥感方法来绘制和表征相关结构和过程

• 批准号: 200779391
• 负责人: Professor Dr.-Ing. Stefan Hinz
• 金额: --
• 依托单位: Institut für Photogrammetrie und Fernerkundung
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2011
• 资助国家: 德国
• 起止时间: 2010-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/200779391?language=en
• 关键词: Non; invasive; geophysical; remote; sensing

This project is a continuation of project F funded in the first phase of the DFG Research Group CAOS, where we evaluated the potential of different ground-based geophysical techniques for exploring hydrological systems regarding subsurface structures, characteristics, and processes. Building up on the results of this project, we now focus on further developing selected geophysical techniques (timelapse GPR imaging) for deepening our understanding of hydrological processes at the plot and hillslope scale. In addition, we propose to systematically evaluate modem remote sensing techniques because they cun-ently represent the only means to efficiently explore larger areas or entire catchments. Here, we focus on a combination of full-waveform laserscanning and hyperspectral imaging because they can provide detailed Information regarding geometrical and physical properties of earth's surface, respectively. To link remote sensing with point/plot/hillslope scale data as provided by geophysics and conventional hydrological field techniques, we believe that further methodological innovations are needed. For example, we plan to establish a unique field laboratory to better understand the responses of geophysical and remote sensing techniques to different natural and artificial hydrological events and to develop exploration strategies advancing the applicability of geophysics and remote sensing for hydrological applications at a variety of spatial scales.

该项目是DFG研究组CAOS第一阶段资助的项目F的延续，在该项目中，我们评估了不同地基地球物理技术用于探索水文系统的地下结构，特征和过程的潜力。建立在这个项目的结果，我们现在专注于进一步发展选定的地球物理技术（时间推移GPR成像），以加深我们对水文过程的理解，在情节和山坡规模。此外，我们建议系统地评估现代遥感技术，因为它们是目前有效探索更大区域或整个流域的唯一手段。在这里，我们专注于全波形激光扫描和高光谱成像的组合，因为它们可以分别提供有关地球表面的几何和物理特性的详细信息。为了将遥感与地球物理学和传统水文现场技术提供的点/地块/山坡尺度数据联系起来，我们认为需要进一步的方法创新。例如，我们计划建立一个独特的现场实验室，以更好地了解地球物理和遥感技术对不同的自然和人工水文事件的反应，并制定勘探战略，以提高地球物理和遥感在各种空间尺度上水文应用的适用性。

项目成果

Attribute-based analysis of time-lapse ground-penetrating radar data

• DOI: 10.1190/geo2015-0171.1
• 发表时间: 2016
• 期刊: Geophysics
• 影响因子: 3.3
• 作者: N. Allroggen;J. Tronicke

Four-dimensional gridding of time-lapse GPR data

时移探地雷达数据的四维网格

• DOI: 10.1109/iwagpr.2017.7996067
• 发表时间: 2017
• 期刊: 2017 9th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)
• 作者: Allroggen;Jackisch;Tronicke
• 通讯作者: Tronicke

4D ground-penetrating radar during a plot scale dye tracer experiment

• DOI: 10.1016/j.jappgeo.2015.04.016
• 发表时间: 2015-07
• 期刊: Journal of Applied Geophysics
• 影响因子: 2
• 作者: N. Allroggen;N. Loes M.B. van Schaik;J. Tronicke

Picturing and modeling catchments by representative hillslopes

按代表性山坡对流域进行描绘和建模

• DOI: 10.5194/hess-21-1225-2017
• 发表时间: 2017
• 期刊: Hydrology and Earth System Sciences
• 影响因子: 6.3
• 作者: Loritz;Hassler S;Jackisch;Allroggen;Schaik;Wienhöfer J;Zehe E.
• 通讯作者: Zehe E.

Form and function in hillslope hydrology: characterization of subsurface flow based on response observations

• DOI: 10.5194/hess-21-3727-2017
• 发表时间: 2017-07
• 期刊: Hydrology and Earth System Sciences
• 影响因子: 6.3
• 作者: L. Angermann;C. Jackisch;N. Allroggen;M. Sprenger;E. Zehe;J. Tronicke;M. Weiler;T. Blume