Name:Lalitha Dabbiru
Associated Centers:Geosystems Research Institute
Position:Research Associate
Email: lalitha@gri.msstate.edu
Office:High Performance Computing Building, 207
Office Phone:(662) 325-8642
Alternate Phone:(662) 694-9499
Address:Mailstop 9627
2 Research Blvd
Mississippi State, MS 39762

Biography:Lalitha Dabbiru is a Research Associate II of the Geosystems Research Institute (GRI) at Mississippi State University. Her research interests include synthetic aperture radar (SAR) and remotely sensed image analysis. Her research activities also focused on small satellite engineering and knowledge management systems. Her past work experience include fabrication and integration of multi sensor chips. She received the M.S degree in Electrical Engineering, and currently pursuing the Ph.D. degree in Electrical Engineering at Mississippi State University. She is a member of the IEEE.

Research Interest: Synthetic Aperture Radar (SAR), Remote Sensing, Image Analysis

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]

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]

Total Publications by this Author: 21