Eder Herrera

Eder Herrera
M.S, CCNY (Graduated, 2018)


The City College of New York
Optical Remote Sensing Laboratory
Steinman Hall, 5th Floor
160 Convent Avenue
New York, NY 10031

Cohort 1 Theme 1: Coastal Resilience

Advisor: Alex Gilerson 

NOAA Mentor: Menghua Wang (NESDIS/STAR) 

Degree: Earth System & Environmental Engineering 

Expected Graduation: June 2018

Research Title: Evaluation of Remote Sensing Reflectance from VIIRS measurements over coastal waters

Research Synopsis:
The proper interpretation of atmospheric aerosols is critical in the process of the derivation of the water leaving radiances from the Ocean Color (OC) imagery for ocean monitoring. For the current sensors like MODIS, and VIIRS atmospheric correction procedures include assumptions about the characteristics of atmospheric aerosols based on relative humidity and particle size distributions. At the sea level, SeaPRISM radiometric instruments which are installed on ocean platforms and which are part of the NASA Aerosol Robotic Network (AERONET) and AERONET-OC networks make direct measurements of the water leaving radiances from the ocean throughout the day, as well as observations of sky radiances from which aerosol parameters such as Aerosol Optical Depth (AOD), single scattering albedo, fraction of fine and coarse aerosols and others are determined. The discrepancies between satellite and AERONET data are usually significant in coastal areas which are primarily due to the more complex vertical changing atmospheres near the coast than in the open ocean, therefore associated with less accurate atmospheric correction. Using NASA SeaDAS software for OC satellite data processing, characteristics of aerosols in atmospheric correction models for VIIRS and MODIS sensors are retrieved and compared with AERONET-OC data in terms of AOD, Angstrom coefficients at the several AERONET OC sites around the Northern Hemisphere. The impact of the Sun-sensor geometry such as the sensor angles, and scattering angles, along with wind speed on the differences in aerosols parameters are evaluated and correlated with the accuracies in the retrieval of the remote sensing reflectance spectra from ocean waters.