Stories from the Field
Oil and water don’t mix
Deepak Mishra's research produced tools to evaluate oil spill impacts on vegetation in coastal marsh patches
Hyperspectral remote sensing data collection from oiled marsh patches in Mississippi.
Hyperspectral remote sensing data collection from healthy marsh patches in Louisiana.
Remote sensing data collection in Lake Pontchartrain, New Orleans, LA.
Example of oiled vegetation collected from field samples.
Deepak Mishra and his students are collecting hyperspectral remote sensing data of oil spill affected salt marshes in Louisiana. They are studying the ecological impact of the Gulf of Mexico oil spill on the photosynthetic activity, physiological status, and primarily productivity of the coastal salt marshes. The field data collected during these trips include remote sensing reflectance and marsh biophysical characteristics such as canopy chlorophyll content, Leaf Area Index, and green biomass. These datasets will be used in satellite model calibration and validation through a remote sensing mapping protocol to generate time-series map products for the salt marsh biophysical properties along the Gulf of Mexico coast. The marsh biophysical products developed through this project will be used in combination with the biogeochemical and climatological data for assessing and evaluating the productivity of marshes that are impacted by the massive oil spill, thus providing state regulators important information for restoration and managements.
More about Deepak Mishra
Application of geospatial science including remote sensing, GIS, and GPS to coastal environments.
My broad research interests are:
Remote Sensing of Wetlands, Estuaries, Coastal and Open Ocean Waters
Remote Sensing in Monitoring Global Climate Change
Ocean Optics and Satellite Oceanography