LaserTIR
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'''Project Title:''' | '''Project Title:''' | ||
Estimating forest canopy surface temperature by airborne laser scanning, thermal infrared scanning, | Estimating forest canopy surface temperature by airborne laser scanning, thermal infrared scanning, | ||
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*'''Project researcher:''' Nils Nölke | *'''Project researcher:''' Nils Nölke | ||
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==Background== | ==Background== | ||
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==Project Goals== | ==Project Goals== | ||
| − | The overall aim is the assessment, analysis and estimation of forest canopy temperature distribution and its variability within individual tree | + | The overall aim is the assessment, analysis and estimation of [[forest canopy]] temperature distribution and its variability within individual [[tree crown]]s and for different tree species. |
Understanding the relationship between temperature distribution and forest canopy structure will help to elucidate the microclimate within the crown. | Understanding the relationship between temperature distribution and forest canopy structure will help to elucidate the microclimate within the crown. | ||
Latest revision as of 17:42, 7 December 2012
Project Title: Estimating forest canopy surface temperature by airborne laser scanning, thermal infrared scanning, and 3D radiation modelling
- Funding: DFG (contributing subproject to the Biodiversity Exploratories)
- Duration: 2011-2014
- Coordination: Prof. Dr. Christoph Kleinn
- Project researcher: Nils Nölke
[edit] Background
Temperature is the physical factor with strongest influence on the abundance and diversity of insects. Hence, the understanding of the relationship between temperature distribution and forest canopy structure may help to elucidate the role of microclimate for biodiversity
[edit] Project Goals
The overall aim is the assessment, analysis and estimation of forest canopy temperature distribution and its variability within individual tree crowns and for different tree species.
Understanding the relationship between temperature distribution and forest canopy structure will help to elucidate the microclimate within the crown.
Establishment of a 3D radiative transfer model to describe/predict temperature distribution inside the tree crown.
