Articles | Volume 14, issue 9
https://doi.org/10.5194/bg-14-2527-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-2527-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 May 2017
Research article |
| 17 May 2017
Consistent retrieval of land surface radiation products from EO, including traceable uncertainty estimates
Thomas Kaminski
CORRESPONDING AUTHOR
The Inversion Lab, Tewessteg 4, 20249 Hamburg, Germany
Bernard Pinty
European Commission, Joint Research Centre (JRC), Directorate for Sustainable Resources, Knowledge for Sustainable Development and Food Security Unit, TP440 Via E. Fermi 2749, 21027 Ispra (Va), Italy
Michael Voßbeck
The Inversion Lab, Tewessteg 4, 20249 Hamburg, Germany
Maciej Lopatka
European Commission, Research Executive Agency, Future and Emerging Technologies: FET-Open COV2 17/120, 16 Place Rogier, 1049 Brussels, Belgium
Nadine Gobron
European Commission, Joint Research Centre (JRC), Directorate for Sustainable Resources, Knowledge for Sustainable Development and Food Security Unit, TP440 Via E. Fermi 2749, 21027 Ispra (Va), Italy
Monica Robustelli
European Commission, Joint Research Centre (JRC), Directorate for Sustainable Resources, Knowledge for Sustainable Development and Food Security Unit, TP440 Via E. Fermi 2749, 21027 Ispra (Va), Italy
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- Evaluating epistemic uncertainty estimation strategies in vegetation trait retrieval using hybrid models and imaging spectroscopy data J. García-Soria et al. 10.1016/j.rse.2024.114228
- Simultaneous Assimilation of Remotely Sensed Soil Moisture and FAPAR for Improving Terrestrial Carbon Fluxes at Multiple Sites Using CCDAS M. Wu et al. 10.3390/rs11010027
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13 citations as recorded by crossref.
- Cross-ECV consistency at global scale: LAI and FAPAR changes B. Mota et al. 10.1016/j.rse.2021.112561
- Estimation of FAPAR over Croplands Using MISR Data and the Earth Observation Land Data Assimilation System (EO-LDAS) M. Chernetskiy et al. 10.3390/rs9070656
- Assimilation of remote sensing into crop growth models: Current status and perspectives J. Huang et al. 10.1016/j.agrformet.2019.06.008
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- Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States L. Brown et al. 10.1016/j.isprsjprs.2021.02.020
- Bayesian atmospheric correction over land: Sentinel-2/MSI and Landsat 8/OLI F. Yin et al. 10.5194/gmd-15-7933-2022
- Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges S. Liang et al. 10.1016/j.srs.2024.100152
- Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al. 10.1016/j.rse.2017.08.017
- Modellbasierte Selektion hyperspektraler EnMAP Kanäle zur optimalen Invertierung von Strahlungstransfermodellen für landwirtschaftliche Kulturen K. Berger et al. 10.1007/s41064-019-00063-2
- Parametric Models to Characterize the Phenology of the Lowveld Savanna at Skukuza, South Africa H. De Lemos et al. 10.3390/rs12233927
- Evaluating epistemic uncertainty estimation strategies in vegetation trait retrieval using hybrid models and imaging spectroscopy data J. García-Soria et al. 10.1016/j.rse.2024.114228
- Simultaneous Assimilation of Remotely Sensed Soil Moisture and FAPAR for Improving Terrestrial Carbon Fluxes at Multiple Sites Using CCDAS M. Wu et al. 10.3390/rs11010027
- Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model K. Berger et al. 10.3390/rs10122063
3 citations as recorded by crossref.
- Reviews and syntheses: Flying the satellite into your model: on the role of observation operators in constraining models of the Earth system and the carbon cycle T. Kaminski & P. Mathieu 10.5194/bg-14-2343-2017
- Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers S. Sippel et al. 10.1371/journal.pone.0164960
- Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S Leaf Area Index Products in Maize Crops H. Yu et al. 10.3390/rs13224529
Latest update: 21 Nov 2024
Short summary
We present the Joint Research Centre Two-stream Inversion Package (JRC-TIP) for retrieval of variables characterising the state of the vegetation–soil system. The system provides a set of land surface variables that satisfy all requirements for assimilation into the land component of climate and numerical weather prediction models.
We present the Joint Research Centre Two-stream Inversion Package (JRC-TIP) for retrieval of...
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