HPC MSU
Name:James V. Aanstoos (Jim)
Associated Centers:Geosystems Research Institute
Position:Faculty
Email: aanstoos@gri.msstate.edu
Office:High Performance Computing Building,
Office Phone:(662) 325-2647
Address:Mailstop 9627
2 Research Blvd
Mississippi State, MS 39762

Biography:Dr. Aanstoos is an Associate Research Professor of the Geosystems Research Institute (GRI) at Mississippi State University and an adjunct in the Electrical and Computer Engineering department. His current responsibilities include conducting and managing research on remotely sensed image and radar analysis, and teaching in the area of Remote Sensing. Other recent research activities have focused on satellite rainfall estimation, small satellite engineering, multispectral land cover classification and accuracy assessment, and terrain database visualization. His past work has also included: development of a multispectral sensor simulator; visualization of wind shear models; development of software for data quality assurance.
EDUCATION:
B.S., Electrical and Computer Engineering, Rice University, 1977
M.E.E, Rice University, 1979
Ph.D., Atmospheric Science, Purdue University, 1996
EXPERIENCE:
Mississippi State University, Geosystems Research Institute
Associate Research Professor, 2006-present
Cary Academy, Cary, NC
Director of Information Services, 2001-2006
Research Triangle Institute, Research Triangle Park, NC
Senior Research Engineer, 1997-2001
Research Electrical Engineer, 1979-1997
North Carolina State University
Adjunct instructor, Electrical and Computer Engineering, 1980-1985

PROFESSIONAL MEMBERSHIPS:
IEEE (senior member); American Geophysical Union
PROFESSIONAL HONORS AND SERVICE:
Applied Imagery Pattern Recognition (AIPR) Executive Committee, Treasurer 1995-99, General Chair 2001-2002, AIPR 2000 Program Chair
Technical Advisory Committee to North Carolina statewide land cover mapping project, 1995


Research Interest: Image Processing, Remote Sensing, Scientific Visualization

Publications: Dabbiru, L., Aanstoos, J.V., Hasan, K., Younan, N. H., & Li, W. (2013). Landslide Detection on Earthen Levees with X-band and L-band Radar Data. 2013 IEEE Applied Imagery Pattern Recognition Workshop. Washington, DC: IEEE. DOI:10.1109/AIPR.2013.6749306. [Abstract]

Hasan, K., Aanstoos, J.V., & Mahrooghy, M. (2013). Stressed Vegetation Identification by SAR Time Series as an Indicator of Slope Instability in Mississippi River Levee Segments. 2013 IEEE Applied Imagery Pattern Recognition Workshop. Washington, DC: IEEE. DOI:10.1109/AIPR.2013.6749307. [Abstract]

Nobrega, R. A. A., Aanstoos, J.V., Gokaraju, B., Mahrooghy, M., Dabbiru, L., & O\'Hara C. (2013). MAPPING WEAKNESSES IN THE MISSISSIPPI RIVER LEVEE SYSTEM USING MULTI-TEMPORAL UAVSAR DATA. Brazilian Journal of Cartography, Photogrammetry and Remote Sensing. State University of Rio de Janeiro, Rio de Janeiro, Brazil: Brazilian Society for Cartography. 65(4), 681-694. [Abstract]

Mahrooghy, M., Anantharaj, V. G., Younan, N. H., Petersen, W. A., Hsu, K., Behrangi, A., & Aanstoos, J.V. (2013). Augmenting Satellite Precipitation Estimation with Lightning Information. International Journal of Remote Sensing. Taylor & Francis. 34(16), 5796-5811. [Abstract]

Aanstoos, J.V. (2013). Improved Levee Management via Remote Sensing. NASA Gulf of Mexico Initiative Conference. New Orleans, LA: NASA.

Total Publications by this Author: 38