Name:James V. Aanstoos (Jim)
Associated Centers:Geosystems Research Institute
Email: aanstoos@gri.msstate.edu
Office:High Performance Computing Building,
Office Phone:(662) 325-8278
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.
B.S., Electrical and Computer Engineering, Rice University, 1977
M.E.E, Rice University, 1979
Ph.D., Atmospheric Science, Purdue University, 1996
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

IEEE (senior member); American Geophysical Union
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: Sehat, S., Vahedifard, F., Aanstoos, J.V., Dabbiru, L., & Hasan, K. (2014). Using In situ Soil Measurements for Analysis of a Polarimetric SAR-based Classification of Levee Slump Slides in the Lower Mississippi River. Engineering Geology. Elsevier. 181, 157168. DOI:10.1016/j.enggeo.2014.07.007. [Document Site]

Dabbiru, L., Aanstoos, J.V., & Younan, N. H. (2014). Comparison of L-Band and X-Band Polarimetric SAR Data Classification for Screening Earthen Levees. IEEE Geoscience and Remote Sensing Society (IGARSS). Quebec, Canada: IEEE. [Abstract] [Document]

Sehat, S., Vahedifard, F., Aanstoos, J.V., Dabbiru, L., Hasan, K., & Mooney, M. (2014). Analysis of the Output from a Radar-based Levee Monitoring System Using In-situ Soil Data. ASCE 2014 Geo-CongressProc., Geo-Congress 2014: Geo-Characterization and Modeling for Sustainability, Geotechnical Special Publication No. 234. Atlanta, GA: American Society of Civil Engineers. 943-952. DOI:10.1061/9780784413272.092.

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]

Total Publications by this Author: 41