Temporally smoothed and gap-filled MODIS Land Products for Carbon Modeling: Application of the FPAR Product
Joanne
Michelle
Nightingale, NASA GSFC, joanne.m.nightingale@nasa.gov
(Presenting)
Jeffrey
Morisette, NASA GSFC, jeff.morisette@nasa.gov
Robert
Wolfe, NASA GSFC, robert.wolfe@nasa.gov
Bin
Tan, ERT, tanbin.ert@gmail.com
Feng
Gao, ERT, fgao@ltpmail.gsfc.nasa.gov
Greg
Ederer, SSAI, gregory.a.ederer@nasa.gov
Jim
Collatz, NASA GSFC, jim.collatz@nasa.gov
Dave
Turner, Oregon State University, david.turner@oregonstate.edu
A temporally and spatially Gap-Filled and Smoothed (GFS) version of the MODIS (Moderate Resolution Imaging Spectro-radiometer) fPAR (fraction of absorbed photosynthetically active radiation) product is now available. We apply this new fPAR product to two commonly used carbon and vegetation productivity models, CASA (Carnegie-Ames-Stanford Approach) and the MOD17 GPP (Gross Primary Production) algorithm. The GFS product removes noise present within the original MOD15 fPAR dataset and provides a more realistic fPAR time-series in relation to magnitude and seasonality associated with radiation in regions where persistent cloud cover is an issue. Datasets are available for North America and the northern part of South America covering the Amazon basin for the MODIS acquisition period (2000 - 2005) at (http:www.accweb.nascom.nasa.gov).
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