Abstract
The study has developed an interactive mission benefit analysis (MBA) tool that allows instantaneous evaluation of a range of potential mission designs. The designs are evaluated in terms of their constraint on carbon and water fluxes through calibration of a terrestrial bisphere model. The constraint is quantified by methematically rigorous uncertainty propagation in CCDAS. Applying the MBA tool, the study showed that the benefit of FAPAR data is most pronounced for hydrological quantities and moderate for quantities related to carbon fluxes from ecosystems. In semi-arid regions, where vegetation is strongly water limited, the constraint delivered by FAPAR for hydrological quantities was especially large, as documented by the results for Africa and Australia. Sensor resolution is less critical for successful data assimilation, and with even relatively short time series of only a few years, significant uncertainty reduction can be achieved.
| Original language | English |
|---|---|
| Pages | 4883-4886 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2012 Dec 1 |
| Event | 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 2012 Jul 22 → 2012 Jul 27 |
Conference
| Conference | 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 |
|---|---|
| Country/Territory | Germany |
| City | Munich |
| Period | 2012/07/22 → 2012/07/27 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
Subject classification (UKÄ)
- Oceanography, Hydrology and Water Resources
- Physical Geography
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