Related Research Areas
Carbon Cycle & Ecosystems

This investigation will use a combination of state-of-the-art sensor scene simulation, biogenic gas emission, and atmospheric modeling tools to study the use of SMAP- derived inundation maps and soil moisture in models quantifying fluxes of methane (CH4), carbon dioxide (CO2), and nitrous oxide (N2O) globally. Methane is the third most important greenhouse gas (GHG), contributing more than half the radiative forcing of CO2. Wetlands and water bodies are the primary source of terrestrial CH4 emissions, but current remote sensing methods are incapable of making the frequent, high-resolution maps of wetlands and inundation needed to adequately model their role in GHG production. NASA's Soil Moisture Active-Passive (SMAP) mission will combine 1- to 3-km resolution synthetic aperture radar (SAR), 40-km-resolution L-band radiometry, and 3-day revisit period to make a novel dataset that can provide frequent inundation maps superior to alternative methods. The project will use a proven sensor scene simulation and performance prediction approach to build an SMAP inundation retrieval algorithm and error model covering various ecosystem types, inundation scenarios, and sensor specifications. The Dynamic Land Surface Ecosystem Model (DLEM) will be used to simulate the sensitivity of regional ecosystem-atmosphere gas exchanges to inundation and as the basis for a combined SMAP-DLEM model to improve global GHG flux predictions. Validation of SMAP-DLEM will be conducted using atmospheric CH4 concentration measurements and the Weather Research and Forecasting/Stochastic Time- Inverted Lagrangian Transport (WRF/STILT) Lagrangian particle dispersion model. The objectives of the investigation are (a) characterize the sensitivity of land ecosystem model GHG fluxes to seasonal inundation, (b) characterize the ability of SMAP to measure seasonal inundation extent and duration, (c) assess the impact that SMAP mission inundation and soil moisture data can have in daily terrestrial GHG emission modeling, and (d) prepare to utilize the SMAP dataset in the SMAP-DLEM GHG emission model.

Project PI: John Galantowicz/AER, Inc.

Atmospheric and Environmental Research (AER), Inc. 131 Hartwell Ave, Lexington, MA, 02421


Project concept and plan
2.1 MB


Everyone's Tags

Popular Resources

Nothing to see here at the moment. Check back later.


Log in to start a discussion.

Project Highlight

2 members

Started: Sep 02, 2010

Last Activity: Mar 30, 2011


What can I do on this project?
  • Only approved users can join
  • Anybody can view this project
  • Any registered users can leave comments
  • Anybody can view comments

New Member

Need help?

Visit our help center

People in This Project Are Also In