Active/Passive Microwave Remote Sensing in Application to Vegetation & Soil and Snow & Soil

主动/被动微波遥感在植被中的应用

• 批准号: 266288869
• 负责人: Dr.-Ing. François Jonard
• 金额: --
• 依托单位: Eidgenössische Forschungsanstalt WSL - Wald-Schnee-Landschaft
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2015
• 资助国家: 德国
• 起止时间: 2014-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/266288869?language=en
• 关键词: Active; Passive; Microwave; Remote; Sensing

Radiation, heat and mass fluxes through the terrestrial surface layer are affected by snow and vegetation. Knowing the states of these surface covers is particularly relevant with regard to the exchange of water between land and atmosphere. At the large scale, this exchange is a driving mechanism to be considered, e.g., in global climate change scenario development to quantify mitigation strategies. Accordingly, global information on snow and vegetation states are important to know. The further exploitation of remote microwave signals provided by emerging space-born active and passive sensors (radars and radiometers), bears the potential to obtain information on snow and vegetation that is complementary to corresponding existing data-products as provided, e.g., from optical sensors. In this context, the proposed project Active/Passive Microwave Remote Sensing in Application to Vegetation & Soil and Snow & Soil (MicroVegSnow) will support the extended exploitation of active and passive microwave data measured over vegetated and snow covered areas. Due to the already existing infrastructure built up at the FZJ (Forschungszentrum Jülich GmbH, Germany) and the expertise in radiative transfer modelling, snow physics, hydrology, parameter estimation and inversion available in both host institutes (FZJ and the WSL (Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland)) MicroVegSnow is proposed as a joint project. The MicroVegSnow project includes the topic areas Vegetation & Soil and Snow & Soil, which are handled by the FZJ and the WSL, respectively. The overall objective of the MicroVegSnow project is to explore the microwave radiative transfer that determines remote active and passive microwave signals of footprints comprising vegetation and snow. To this aim, the overarching research concept includes: i) tower-based active and passive microwave measurements over vegetated and snow-covered footprints accompanied by simultaneous in-situ measurements; ii) the development and the validation of radiative transfer forward models to simulate corresponding microwave signals; and iii) the development and the assessment of retrieval schemes needed to derive information on snow and vegetation states from remote microwave signals. The microwave remote sensing field campaigns associated with the topic area Vegetation & Soil are planned to be conducted at the TERENO test-site Selhausen near Jülich during the growing periods 2015 and 2016. During the winters 2014/15 and 2015/2016 corresponding field campaigns will be performed at a test-site near Davos (WSL/SLF) in support of the topic area Snow & Soil. The research outcome of the MicroVegSnow project will increase our understanding of active and passive microwave remote sensing in application to vegetation, snow, and soil. This is the basis to optimally exploit available and future microwave remote sensing data measured over vegetated and snow covered terrains.

通过地面表层的辐射、热量和质量通量受到雪和植被的影响。了解这些地表覆盖物的状态对于陆地和大气之间的水交换特别重要。在大规模上，这种交换是一种需要考虑的驱动机制，例如，在全球气候变化情景发展中，量化缓解战略。因此，必须了解关于雪和植被状况的全球信息。进一步利用新出现的空间有源和无源传感器（雷达和辐射计）提供的远程微波信号，有可能获得关于雪和植被的信息，补充所提供的相应现有数据产品，例如，从光学传感器。在这方面，拟议的项目“主动/被动微波遥感在植被和土壤以及雪和土壤中的应用”（MicroVegSnow）将支持扩大利用在植被覆盖和积雪覆盖地区测量的主动和被动微波数据。由于FZJ（Forschungszentrum Jülich GmbH，德国）已经建立了现有的基础设施，以及两个主办机构（FZJ和WSL（瑞士联邦森林、雪和景观研究所））在辐射传输建模、雪物理学、水文学、参数估计和反演方面的专业知识，建议将MicroVegSnow作为一个联合项目。MicroVegSnow项目包括植被与土壤和雪与土壤主题领域，分别由FZJ和WSL处理。MicroVegSnow项目的总体目标是探索微波辐射传输，确定包括植被和雪的足迹的远程主动和被动微波信号。为此，总体研究概念包括：一）对植被覆盖和积雪覆盖的足迹进行基于塔的主动和被动微波测量，同时进行现场测量;二）开发和验证辐射传输前向模型，以模拟相应的微波信号;和iii）开发和评估从远程微波信号获取有关积雪和植被状态的信息所需的检索方案。计划于2015年和2016年生长期在于利希附近的TERENO试验场Selhausen开展与“植被和土壤”专题区域相关的微波遥感实地活动。在2014/15和2015/2016年冬季，将在达沃斯附近的一个试验场（WSL/SLF）进行相应的实地活动，以支持雪和土壤主题。MicroVegSnow项目的研究成果将增加我们对主动和被动微波遥感在植被、雪和土壤方面的应用的了解。这是最佳利用现有的和未来的微波遥感数据测量植被和积雪覆盖的地形的基础。

项目成果

Vegetation Optical Depth and Soil Moisture Retrieved from L-Band Radiometry over the Growth Cycle of a Winter Wheat

• DOI: 10.3390/rs10101637
• 发表时间: 2018-10
• 期刊: Remote. Sens.
• 作者: T. Meyer;L. Weihermüller;H. Vereecken;F. Jonard

Fully Polarimetric L-Band Brightness Temperature Signatures of Azimuthal Permittivity Patterns - Measurements and Model Simulations

方位介电常数图案的全偏振 L 波段亮度温度特征 - 测量和模型模拟

• DOI: 10.1109/igarss.2018.8517302
• 发表时间: 2018
• 期刊: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
• 作者: Søbjærg S. S;Link M;Jagdhuber T;Montzka C;Jonard F;Dill S;Peichl M.;Meyer T.
• 通讯作者: Meyer T.

Accounting for Surface Roughness Scattering in the Characterization of Forest Litter with Ground-Penetrating Radar

• DOI: 10.3390/rs11070828
• 发表时间: 2019-04
• 期刊: Remote. Sens.
• 作者: F. André;F. Jonard;M. Jonard;H. Vereecken;S. Lambot

Modeling of Multilayered Media Green’s Functions With Rough Interfaces

• DOI: 10.1109/tgrs.2019.2915676
• 发表时间: 2019-10
• 期刊: IEEE Transactions on Geoscience and Remote Sensing
• 影响因子: 8.2
• 作者: F. Jonard;F. André;N. Pinel;Craig Warren;H. Vereecken;S. Lambot

Vegetation Optical Depth and Soil Moisture Retrieval Using L-Band Radiometry Over the Entire Growing Season of a Winter Wheat Stand

使用 L 波段辐射测量法反演冬小麦田整个生长季节的植被光学深度和土壤湿度

• DOI: 10.1109/igarss.2018.8518091
• 发表时间: 2018
• 期刊: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
• 作者: Meyer T;Jonard F.;Weihermüller L.
• 通讯作者: Weihermüller L.