Coastal salt marshes are among the most valuable ecosystems in the world, efficient natural mechanisms for carbon sequestration that produce biomass above and below the ground as they soak up carbon dioxide from the atmosphere. And while their gain and loss as protection from storm surge is well documented, their capacity for carbon capture is an unknown.
Deepak Mishra, associate professor in the Franklin College of Arts and Sciences department of geography, is principal investigator on the new prototype demonstration study that will use NASA's MODIS—Moderate Resolution Imaging Spectroradiometer to gather data to model the marshes.
Restoration projects along coastal areas are expensive, and their success is judged primarily by the amount of vegetation gained. This new modelling capability will allow for more complete assessments of the marshes' overall productivity: carbon capture, light-use efficiency for photosynthesis and biomass production. It also will differentiate which species of marsh grass provides better productivity.
"Right now, monitoring wetlands via satellite is problematic because of the way water and soil moisture interferes with the signal," Mishra said. "It can be difficult to effectively separate the water contribution from the vegetative contribution."
His new method establishes a tide invariant model, one not affected by water in the marsh as it is monitored via satellite. Instead, the new model will isolate the vegetation signal and validate output for the location based on instrumentation on the ground.
Mishra will position two flux towers at locations along the Gulf Coast, one near Pascagoula, Mississippi, and another at the Louisiana Universities Marine Consortium site at Cocodrie, Louisiana, for one year. The prototype demonstration will use the biophysical models developed by Mishra on a previous NASA project using the MODIS sensor. The models will help predict parameters that will estimate gross primary productivity in the marshes.
A MODIS pixel is equal to an area 250 meters square, so the demonstration requires three to five pixels of homogeneous area in order for the satellite to produce accurate data on the centre pixel. The MODIS sensor will pass the locations daily and also produce an eight-day composite cloud-free image, which will allow for production of a cloud-free gross primary productivity map of the Gulf Coast salt marsh every eight days.
"We can model canopy chlorophyll content of the marsh and measure biomass from satellites," he said. "These two, plus the overall leaf area, which relates to photosynthetic activity, will allow us to proxy the carbon dioxide sequestration from satellite data using productivity models."
Source: University of Georgia