Large Scale Validation of Carbon Stock and Flux Estimates from Remote Sensing
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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
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NASA Carbon Science Application Area
Research and validationNational importanceLong term commitment for use of applicationUnique use for integrated environmental monitoringInvolvement of end users: fed, state, regionalProcess to determine performance metrics
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ObjectivesThe 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.
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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.
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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
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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
Model Validation/Comparison Top down/bottom up modeling
FIA, NPP, TEM, PnET, MODIS
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