Alexei I. Lyapustin, Assistant Research Scientist

GEST Research Group:

Terrestrial Physics

GSFC Code:

614.4

Mailing Address:

Laboratory for Terrestrial Physics
NASA GSFC, Code 614.4
Building 33, Rm F106
Greenbelt, MD 20771 USA

Phone:

(301) 614-5998

Fax:

(301) 614-6015

Email:

Alexei.I.Lyapustin@nasa.gov

Research Interests:

1-D and 3-D radiative transfer in planetary atmospheres; spherical harmonics method in the radiative transfer problem; multi-angle and multi-spectral inverse problems of atmospheric optics; radiative transfer in spectral intervals of gaseous absorption; remote sensing of atmospheric aerosol and surface bidirectional reflectance from space; atmospheric correction of satellite data.

Biography:

Dr. Alexei I. Lyapustin received an MS/BS in physics from Moscow State University in 1987, and Ph.D. in Aerospace Remote Sensing from Space Research Institute, Moscow, Russia in 1991. In 1993-1996 he was a Principal Investigator in contracts with Russian Space Agency on development of atmospheric correction algorithm of satellite data. Before joining JCET in september 1999, Dr. Lyapustin was a Research Fellow for two years in the Universities Space Research Association (USRA)/NASA Goddard Space Flight Center. During his career, Dr. Lyapustin has been developing the inversion methods for the multi-angle and multispectral satellite data to retrieve atmospheric aerosol and surface reflectance. These methods were applied to multi-angle experiments performed from MIR orbital station in 1993-1996. Presently, Dr. Lyapustin actively works in the theory of 1D and 3D radiative transfer developing the method of spherical harmonics. Specific theoretical interests include the problem with anisotropic surface reflectance, 3-D radiative transfer over spatially heterogeneous surfaces and fast methods of calculations in the spectral intervals of gaseous absorption. In a practical sense, these studies aim at developing the unified atmospheric correction algorithm valid across different satellite imagers such as Landsat, MISR, and MODIS/VIIRS.