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Home > Dr. Venkat Devarajan
November 16, 2015
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Dr. Venkat Devarajan
Professor of Electrical and Bio Engineering at the College of Engineering
Dr. Venkat Devarajan is a Professor of Electrical and Bio Engineering at the College of Engineering at UTA. He has been a faculty member since 1990. His major research interests include:
His research most related to global sustainability issues is his and his students’ recent work on exploiting LiDAR for automatically extracting hydrology resources.
LiDAR data for the US and some parts of the world have been only recently available. It is available in a format that obviates the need for much of the pre-processing needed until recently, so that researchers can concentrate on exploiting this data directly to address sustainability issues both in urban as well as rural areas. Modern LiDAR data is available which has both the intensity and elevation pre-registered. Projects are underway to map the entire country at regular intervals with LiDAR sensors.
Dr. Venkat Devarajan and his students at the Virtual Environment Laboratory (VEL) have been working on funded research for the past four years with the Natural Resources Conservation Service – a US Government agency to develop LiDAR- based solutions to aid in conservation efforts primarily in the rural areas – in particular, conservation of water or hydrology resources.
One of the tools developed by VEL is the automatic extraction of standing water bodies from LiDAR. This is presently accomplished using manual labor – clearly very expensive given the size of the land area of US and other major countries. NRCS finds VEL’s automated approach valuable in accurately detecting the size of rural water bodies, which need to be hydro-flattened. This technology is being commercialized in collaboration with Environmental Sciences Research Institute (ESRI) – a leading global company in the Geographical Information Sciences area.
A second project at VEL is the automatic detection and analysis of rivers and streams for which VEL has developed preliminary algorithms.
A third project is the automatic separation of ground versus non-ground objects. This capability helps with the detection of landslide and other soil erosion potential. In the urban areas this will also help with sustainable land use and flood control.
All of VEL’s LiDAR based projects for NRCS address global sustainability issues.