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Brian D Wardlow

Dr. Brian D Wardlow

Center for Advanced Land Management Information Technologies (CALMIT) and School...

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Dr. Brian Wardlow is an associate professor and a remote sensing scientist in the School of Natural Resources at the University of Nebraska-Lincoln. He received a B.S. in 1996 in geography and geology from Northwest Missouri State University, an M.A. in 1996 in geography from Kansas State University, and a Ph.D. in 2005 in geography from the University of Kansas. He joined UNL as a research assistant professor in 2006 and led the GIScience program at the National Drought Mitigation Center (NDMC) for six years. He has also been a faculty fellow with the Center for Advanced Land Management Information Technologies (CALMIT). In March 2012, he became an associate professor in the School of Natural Resources (SNR), and in April 2018, he became a full professor in SNR. His current remote sensing research is centered on three predominant themes: classifying and mapping land use and land cover (LULC) patterns in agricultural landscapes; characterizing vegetation dynamics such as phenology and biophysical characteristics; and drought monitoring and early warning.

Research Keywords & Expertise

Land Surface Phenology
Drought monitoring and...
Land use/land cver cha...
Ecological and natural...

Short Biography

Dr. Brian Wardlow is an associate professor and a remote sensing scientist in the School of Natural Resources at the University of Nebraska-Lincoln. He received a B.S. in 1996 in geography and geology from Northwest Missouri State University, an M.A. in 1996 in geography from Kansas State University, and a Ph.D. in 2005 in geography from the University of Kansas. He joined UNL as a research assistant professor in 2006 and led the GIScience program at the National Drought Mitigation Center (NDMC) for six years. He has also been a faculty fellow with the Center for Advanced Land Management Information Technologies (CALMIT). In March 2012, he became an associate professor in the School of Natural Resources (SNR), and in April 2018, he became a full professor in SNR. His current remote sensing research is centered on three predominant themes: classifying and mapping land use and land cover (LULC) patterns in agricultural landscapes; characterizing vegetation dynamics such as phenology and biophysical characteristics; and drought monitoring and early warning.