Dynamic patterns of land-surface characteristics related to water/energy fluxes at the hillslope and small catchment scale using remote sensing

利用遥感技术研究山坡和小流域尺度与水/能量通量相关的地表特征的动态模式

• 批准号: 200778327
• 负责人: Professor Dr. Karsten Schulz, since 7/2013
• 金额: --
• 依托单位: Department für Geographie
• 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 2015-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/200778327?language=en
• 关键词: Dynamic; patterns; land; surface; characteristics

The main objective of this sub-project is to improve the retrieval of land surface characteristics that are related to individual components of the hydrological cycle and relevant at the hillslope and mesoscale via remote sensing techniques. Research activities will include the use of satellite as well as aircraft and drone based optical, microwave and thermal sensors and their joint analysis including model inversion techniques. The aim is to derive dynamic and spatially distributed information about vegetation and plant physiological characteristics, topographic, soil moisture and water and energy fluxes at the hillslope and catchment scale. In addition, we will quantify dynamic changes of these patterns with methods from mathematical morphology to characterize structures and topologies in order to analyze their relations to and impact on surface and subsurface water, solute and energy fluxes.

这一分项目的主要目标是通过遥感技术改进地表特征的恢复，这些特征与水文循环的各个组成部分有关，并与山坡和中尺度有关。研究活动将包括使用卫星以及飞机和无人机的光学、微波和热传感器及其联合分析，包括模型反演技术。其目的是获得关于植被和植物生理特征、地形、土壤水分以及坡面和集水区尺度上的水和能量通量的动态和空间分布信息。此外，我们将用数学形态的方法来量化这些模式的动态变化，以表征结构和拓扑，以分析它们与地表和地下水、溶质和能量通量的关系和影响。