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

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:
$0.0万
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
项目状态:
已结题
起止时间:
2014-12-31 至 2018-12-31

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中文摘要
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英文摘要
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.
期刊论文(6)
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会议论文
DOI: 10.3390/rs10101637
发表时间: 2018-10
期刊: Remote. Sens.
影响因子: --
作者: [T. Meyer;L. Weihermüller;H. Vereecken;F. Jonard]
通讯作者: 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
影响因子: --
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.
DOI: 10.3390/rs11070828
发表时间: 2019-04
期刊: Remote. Sens.
影响因子: --
作者: [F. André;F. Jonard;M. Jonard;H. Vereecken;S. Lambot]
通讯作者: F. André;F. Jonard;M. Jonard;H. Vereecken;S. Lambot
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]
通讯作者: F. Jonard;F. André;N. Pinel;Craig Warren;H. Vereecken;S. Lambot
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