Science Systems and Applications, Inc. - Science and Technology with Passion


SSAI is an Equal Employment Opportunity and Affirmative Action Employer.
EEO/AA - Minorities/Females/Disable/Veterans

Research Scientist
Reference #:17-2194
Open Date:11/29/2017
Location:Greenbelt, MD
US Citizenship Required:No
Job Description:
Science Systems and Applications, Inc (SSAI) is seeking applications for a full-time Research Scientist to work on a NASA-funded project to improve NASA's atmospheric compensation method using historic aerosol data. The applicant should have a strong background in remote sensing and substantial knowledge of aerosol/atmospheric optics. The research focus is on improving atmospheric compensation for the existing moderate resolution images, i.e., Landsat-8 and Sentinel-2, in coastal/inland waters. The selected candidate is expected  to contribute to the field of aquatic remote sensing in the form of presentations at scientific conferences and/or peer-review publications.

The position is located onsite at NASA Goddard Space Flight Center in Greenbelt, MD. US Citizenship or Permanent Residency preferred to ensure timely access to NASA IT systems and NASA facilities.

Project Description:
Remote sensing reflectance (Rrs) is defined as the ratio of water-leaving radiance to the total downwelling irradiance just above water and is the key parameter for the retrieval of subsurface optical properties of water column. NASA’s heritage atmospheric compensation has been shown to generate climate-quality global Rrs over open oceans.

This project improves the quality of Rrs products in coastal/inland waters for water quality studies by optimizing the existing aerosol LUTs using a comprehensive analysis of historic aerosol measurements. These measurements are available a) at NASA’ Aerosol Robotic Network (AERONET) sites and b) through satellite observations made by the Multi-angle Imaging SpectroRadiometer (MISR). More specifically, the aerosol removals will be constrained by the aerosol models derived from historic aerosol data measured/retrieved using above data products. This new methodology will be implemented for satellite retrievals across the continental US and selected global sites. The new methodology will be evaluated using available in situ water-leaving radiance data collected at the ocean color component of the AERONET (AERONET-OC) sites.

Required Qualifications:
  • MS degree in a physical science with 1-2 years of experience in radiative transfer theory/applications and analyses of aerosol optical properties. (A PhD in an appropriate discipline can substitute for some of the experience.)
  • Programming experience in at least one of the following languages: Python, C, IDL in a Linux/Unix environment.
Desired Qualifications:
  • Experience with NASA and ESA remote sensing data analysis is highly desired, but not necessary.
  • Postdoctoral scholars interested in continuing research in this field are encouraged to apply.