Remote sensing mapping of carbon and energy fluxes over forests
This report presents the results of the EU project "Carbon and water fluxes of Mediterranean forests and impacts of land use/cover changes". The objectives of the project can be summarized as follows: (I) surface energy balance mapping using remote sensing, (ii) carbon uptake mapping using remote sensing and (iii) assessment of representativity of point measurements for large scale meteorological models. The Surface Energy Balance Index (SEBI) algorithm is successfully applied to satellite images in Spain and the Netherlands, whereafter the latent heat flux is linked to the carbon flux. Validation is carried out with field measurements. A wavelet analysis is performed to assess till what scale point measurements are good area-representatives.
| Main Authors: | , , , |
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| Format: | External research report biblioteca |
| Language: | English |
| Published: |
Alterra
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| Subjects: | carbon dioxide, energy balance, fluctuations, forests, land surface, mapping, meteorology, microclimatology, remote sensing, wavelets, aardoppervlak, bossen, cartografie, energiebalans, fluctuaties, kooldioxide, meteorologie, microklimatologie, |
| Online Access: | https://research.wur.nl/en/publications/remote-sensing-mapping-of-carbon-and-energy-fluxes-over-forests |
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| Summary: | This report presents the results of the EU project "Carbon and water fluxes of Mediterranean forests and impacts of land use/cover changes". The objectives of the project can be summarized as follows: (I) surface energy balance mapping using remote sensing, (ii) carbon uptake mapping using remote sensing and (iii) assessment of representativity of point measurements for large scale meteorological models. The Surface Energy Balance Index (SEBI) algorithm is successfully applied to satellite images in Spain and the Netherlands, whereafter the latent heat flux is linked to the carbon flux. Validation is carried out with field measurements. A wavelet analysis is performed to assess till what scale point measurements are good area-representatives. |
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