Large Scale Validation of Carbon
Stock and Flux Estimates from
Remote Sensing
R. Birdsey, J. Hom, P. Murdoch, Z. Zhu,
Y. Pan, D. Varanka, R. Riemann, M.
Hoppus, M. McHale, and J. Jenkins
NASA Carbon Science Application Area
Research and validation
National importance
Long term commitment for use of application
Unique use for integrated environmental
monitoring
Involvement of end users: fed, state, regional
Process to determine performance metrics
Objectives
The goal of this proposal is to integrate advances in
remote sensing technology with operational monitoring
programs applied by agencies of the U.S. Government
and state and local partners. Integration of multiple
elements of related scientific research and technology
developments into an “applications system” will enable
managers to track complex environmental issues at a
range of spatial and temporal scales.
The Specific Objectives Are To:
1. Integrate medium resolution estimates of forest
biomass and net primary productivity from
MODIS with valid statistical estimates from field
monitoring.
2. Characterize patterns of forest fragmentation,
insect damage, land use change and associated
carbon losses from Landsat TM, and carbon
exports from surface runoff.
The Specific Objectives Are To:
3. Develop and apply consistent cover type
classifications for MODIS, Landsat TM, and field
sample plot networks.
4. Estimate a complete basinwide carbon
budget including carbon loss by water transport
Summary of proposed projects:
Co-Pi
Focus Area
Data,model,sensor
Birdsey
Carbon Budget
Forcarb, FIA, FHM
Zhu
Forest Classification
AVHRR, MODIS,FIA
Varanka
LUC projections, LU history
Landsat, Urban GM
Riemann Forest Fragmentation, F Health CIR,Landsat,SPOT
Murdoch Total Dissolved Carbon
Water surveys
Pan,
Hom
FIA, NPP, TEM,
PnET, MODIS
Model Validation/Comparison
Top down/bottom up modeling