Three aspects of remote sensing: DN,radiance,reflectance,albedo (directly obtained from RS) Derived parameters (LAI,LAD,... Classification (pattern recognition)
Three aspects of remote sensing： DN, radiance, reflectance, albedo (directly obtained from RS) Derived parameters (LAI, LAD,…), Classification (pattern recognition)
Land surface climatologies from MODIS Albedo ■ LAI and FPAR ■ Land surface temperature (LST) II. Generating improved land surface biophysical products ■ Existing spatial/temporal filters ■ New Temporal Spatial Filter (TSF) ■ Results
I. Land surface climatologies from MODIS Albedo LAI and FPAR Land surface temperature (LST) II. Generating improved land surface biophysical products Existing spatial/temporal filters New Temporal Spatial Filter (TSF) Results
Land surface climatologies from MODIS o. generate improved land products from multiple EOS data sets ▣ Run surface and atmospheric radiation models with adjusted parameters to reproduce the spectral radiance received by the EOS sensors. Such adjustments are made by identifying reasonable close "first guesses"for the model parameters and determining statistically optimum estimates of the parameters. The first guesses are the land product climatologies
I. Land surface climatologies from MODIS Run surface and atmospheric radiation models with adjusted parameters to reproduce the spectral radiance received by the EOS sensors. Such adjustments are made by identifying reasonable close "first guesses" for the model parameters and determining statistically optimum estimates of the parameters. The first guesses are the land product climatologies. Goal: generate improved land products from multiple EOS data sets
Study region -North America
Study region – North America
Plant Functional Type (PFT) Evergreen needleleaf tree Evergreen broadleaf tree Deciduous needleleaf tree Deciduous broadleaf tree Shrub Grass Cereal crop Broadleaf crop Urban and built-up Snow and ice Barren or sparsely vegetated
Plant Functional Type (PFT)