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Deepak Mishra, Assistant Professor

Deepak Mishra

Research Emphasis:

Application of geospatial science including remote sensing, GIS, and GPS to coastal environments. My broad research interests are: Remote Sensing of Wetlands Health and Productivity; Remote Sensing of Water Quality (Inland waters, Estuaries, Coastal, and Open Ocean Waters); Remote Sensing in Monitoring Global Climate Change; Ocean Optics and Satellite Oceanography

GCE Committees:

GCE Disturbance Committee, GCE Flux Tower Committee

Contact Information:

Primary Organization:  University of Georgia

Mailing Address:

Dr. Deepak Mishra
Department of Geography
University of Georgia
Athens, Georgia 30602

Office Phone:  (706) 542-8927

FAX Number:  (706) 542-2388

E-Mail:  dmishra@uga.edu

Web Page:  http://geography.uga.edu/directory/profile/mishra-deepak/

Other Identity Systems:

ORCID:  orcid.org/0000-0001-8192-7681

GCE Publications and Presentations: (custom bibliography)

Journal Articles

Zhang, C., Mishra, D. and Pennings, S.C. 2019. Mapping salt marsh soil properties using imaging spectroscopy. ISPRS Journal of Photogrammetry and Remote Sensing. 148:221-234.

Cao, F., Mishra, D., Schalles, J.F. and Miller, W. 2018. Evaluating ultraviolet (UV) based photochemistry in optically complex coastal waters using the Hyperspectral Imager for the Coastal Ocean (HICO). Estuarine, Coastal and Shelf Science. 215. (DOI: 10.1016/j.ecss.2018.10.013)

Tao, J., Mishra, D., Cotten, D.L., O'Connell, J., Leclerc, M.Y., Nahrawi, H.B., Zhang, G. and Pahari, R. 2018. A Comparison between the MODIS Product (MOD17A2) and a Tide-Robust Empirical GPP Model Evaluated in a Georgia Wetland. Remote Sensing. 10:1831. (DOI: 10.3390/rs10111831)

O'Connell, J., Mishra, D., Cotten, D.L., Wang, L. and Alber, M. 2017. 'The Tidal Marsh Inundation Index (TMII): An inundation filter to flag flooded pixels and improve MODIS tidal marsh vegetation time-series analysis '. Remote Sensing of the Environment. 201(November 2017):34-46. (DOI: 10.1016/j.rse.2017.08.008)


This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959, OCE-1237140 and OCE-1832178. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.