James V. Aanstoos (Jim)
Faculty

aanstoos@gri.msstate.edu

Office: HPC
Phone: (662) 325-8278

Mailstop 9627
2 Research Blvd
Mississippi State, MS 39762

Biography:
Dr. Aanstoos is an Associate Research Professor Emeritus of the Geosystems Research Institute (GRI) at Mississippi State University. He conducts research on remote sensing and radar analysis. 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 Emeritus, 2016-present
Mississippi State University, Geosystems Research Institute
Associate Research Professor, 2006-2016
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


Selected PublicationsTotal Publications by James V. Aanstoos (Jim):  55 
Dabbiru, L., Aanstoos, J.V., Ball, J. E., & Younan, N. H. (2018). Machine Learning Framework for Mapping of Mississippi River Levees and Damage Assessment Using Terrasar-X Data. IEEE Geoscience and Remote Sensing Society (IGARSS), July 2018. Velencia, Spain. [Abstract]

Dabbiru, L., Aanstoos, J.V., Ball, J. E., & Younan, N. H. (2017). Screening Mississippi River Levees Using Texture-based and Polarimetric-based Features from Synthetic Aperture Radar Data. Electronics. MDPI. 1, 20. [Abstract] [Document Site]

Dabbiru, L., Aanstoos, J.V., & Younan, N. H. (2015). Earthen Levee Slide Detection via Automated Analysis of Synthetic Aperture Radar Imagery. Journal of Landslides. Springer. 1612-5118, 10. DOI:10.1007/s10346-015-0599-9. [Abstract]

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, 157–168. DOI:10.1016/j.enggeo.2014.07.007. [Document Site]

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]

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