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![Forest Height Estimation (3D Structure Mode)
Pol-InSAR Forest Height [m]
Forest Height (in Situ) [m]](https://image.slidesharecdn.com/tandem-l-igarss-v2-final-20113-110726152715-phpapp01/75/Tandem-L-IGARSS-v2-final-2011-pdf-6-2048.jpg)
![Hydrosphere: Soil Moisture
SMOS SMAP
50
40
30
35 km resolution 10-40 km resolution
20
10
Tandem-L
Tandem-L provides unique & 0
complementary information:
3 – 10 m resolution [vol.%]
weekly coverage • soil moisture
• water level changes
• river & ocean currents
• weekly coverage & high resolution](https://image.slidesharecdn.com/tandem-l-igarss-v2-final-20113-110726152715-phpapp01/75/Tandem-L-IGARSS-v2-final-2011-pdf-14-2048.jpg)
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- 2. Dynamic Processes onthe Earth Surface Deforestation, Degradation, Fires* (REDD) Forest Biomasse Change* Biodiversity Earthquakes Volcanic Activities Land Slides Sea Ice Extent* Permafrost* Glacier & Ice Cap Dynamics* Soil Moisture* Flooding *) Essential Climate Ocean Currents* Variables
- 3. Carbon Balance andVegetation The terrestrial carbon is the greatest unknown in the carbon cycle 6.4 ± 0.4 3.2 ± 0.1 Sources 1.6 ± 1.1 Unknown =Σ Ocean terrestrial sink sink Carbon Fossil Land use accumulation in fuels change Sink the atmosphere 2.2 ± 0.4 2.6 ± 1.7 Numbers in Billions of Tons – Carbon / Year (IPCC)
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- 10. Structure - BiomassAllometry H 3 B = 3.11 a P i =0 j =1 j j a1 a2 a3 Nationalpark Bayrischer Wald Ebersberger Forst Bürgerwald Traunstein Three Legendre polynomials explain the 92% of the total biomass !!! VU 10 > Autor Name
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