The BOREAS Information System
Remote Sensing Science (RSS)
RSS-5: Boreal Forest Community Composition and Structure, Photosynthesis, Remote Sensing, Scaling and Net Carbon Flux
P.I.(s): Narendra S. Goel -- Wayne State University
Objectives: To address the following questions related to two quantities -- photosynthesis and soil radiation absorption -- for boreal forest:
- How important is the detailed architecture and species distribution in boreal forest canopy in determining these quantities and how do they vary as a function of season when canopy architecture undergoes changes?
- Can they be estimated using a simpler equivalent model using surrogate parameters for canopy architecture?
- Are these parameters correlated to each other under different canopy architectural conditions, and can one estimate photosynthesis using measurement of radiation absorbed by the soil?
- Can photosynthesis be estimated using radiation leaving a canopy? In particular, how does the relationship between FPAR (fraction of photosynthetically active radiation) and NDVI (normalized difference vegetation index) depend upon the complex forest community and architecture?
- How can this estimation be scaled up for a large collection of heterogeneous canopies such as those found in boreal forest?
- To what degree different forest stands can be differentiated by using remotely sensed data?
- Can the net carbon flux over the area covered by the BOREAS site be estimated by using a combination of vegetation models, scaling strategies, ground observations, and satellite images.
RSS-5 Data Sets
Model Data (Goel)
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Last Updated: October 21, 1997