Document Type
Dataset
Publication Date
2018
Department
Coastal Sciences, Gulf Coast Research Laboratory
Abstract
Spatio-temporal distribution of per-pixel Gross Primary Productivity (GPP) was modeled using GPP from the eddy covariance CO2 flux tower measurements and MODIS 8–day 500m surface reflectance derived Green Biomass (GBM) composites. Flux readings were acquired for two successive growing seasons (2015–2016). GPP was estimated from the flux towers and interpolated at 8-day intervals to match with MODIS derived GBM time-series products. GPP was calibrated with both raw time-series as well as smoothed time–series GBM values derived from the MODIS composites from 2015. Post calibration, the GPP model was validated using data and MODIS images acquired in 2016.
Recommended Citation
Mishra, Deepak, "Gross Primary Productivity" (2018). Understanding the Trajectory of Mississippi Coastal Salt Marsh Structure Function, and Processes in the face of Sea Level Rise: Data and Information Repository. 2.
https://aquila.usm.edu/saltmarsh/2