Grad Students

Colin J Gleason



Contact Information

Email    cjgleaso@ucla.edu
Office  Not Available
Phone  
I love rivers!

I am interested in the form and function of rivers as they serve human interests and form the key cog in the land surface component of the water cycle. I have extensive field experience in Greenland and other enviornments, and relish the chance to do quality field science. I am active in the research fields of climate change, fluvial hydrology, glaciology, and remote sensing.

I am also keenly interested in the ability of remotely sensed data to overcome political and practical realities that inhibit knowledge and understanding of critical environmental issues, and in the geopolitical implications of this ability.

Fields of Study

Hydrology, Cryosphere, Geomorphology, Hydraulic Geometry, Remote Sensing, Engineering

Advisors

Laurence C. Smith

Awards

UCLA Rosenfield-Abrams Dissertation Year Fellow

UCLA Geography student publication award 2014

NASA Earth and Space Sciences Fellow 2012-2015 

UCLA Chancellor's Fellow 2012-2013

SUNY ESF Presidential Scholar 2005-2009

 

Research

I am interested in the form and function of rivers as they serve human interests and form the key cog in the land surface component of the water cycle. I have extensive field experience in Greenland and other enviornments, and relish the chance to do quality field science. I am active in the research fields of climate change, fluvial hydrology, glaciology, and remote sensing.

I am also keenly interested in the ability of remotely sensed data to overcome political and practical realities that inhibit knowledge and understanding of critical environmental issues, and in the geopolitical implications of this ability.

Degrees

M.S., Geospatial Engineering (2011) State University of New York College of Environmental Science and Forestry. 
B.S., Forest Engineering (2009) State University of New York College of Environmental Science and Forestry.

Publications

Gleason, C.J., Smith, L.C., Chu, V.W., Legleiter, C.J., Pitcher, L.H., Overstreet, B.T., Rennermalm, A.K., & R.R. Forster (2016 in review.) Characterizing supraglacial meltwater channel hydraulics on the Greenland Ice Sheet from in situ observations. Journal of Geophysical Research-Earth Surfaces

Alvarez-Leon, L. & C.J. Gleason (2016 in review) Production, Property and the Construction of Remote Sensing Data. Remote Sensing of Environment

Durand M., Gleason, C.J., Garambois, P.A., Bjerklie, D., Smith, L.C., Roux, H., Rodriguez, E., Bates, P., Frasson, R., et al (2015 in review) Intercomparison of remote sensing river discharge estimation algorithms from measurements of river height, width, and slope. Water Resources Research

Yang, K., Smith, L.C., Chu, V.W., Pitcher, L.H, Gleason, C.J., Rennermalm, A.K., & M. Li (2015 in revision) Fluvial morphometry of supraglacial river networks on the southwest Greenland ice sheet. GIScience & Remote Sensing

Pitcher, L.H, Smith, L.C., & C.J. Gleason (2015 in review). CryoSheds: a GIS Modeling Framework for Generating Hydrologic Watersheds for land-terminating glaciers and ice sheets using Digital Elevation Models and Remote Sensing Observations. Water Resources Research.

Bonnema, M., Sikder, S., Hossain, F., Durand, M.A., Gleason, C.J., & D. Bjerklie (2015 In revision). Discharge estimation in humid deltas in an era of increasing satellite observations: the Ganges River system. Water Resources Research.

Chu, V.W., Smith, L.C., Yang, K., Leglieter, C.J., Gleason, C.J., & A.K. Rennermalm (2015 In revision) Adaptation of Manning’s equation for remote estimation of supraglacial river discharge using GIS modeling and WorldView-2 satellite imagery. GIScience & Remote Sensing.

Yang, K., Smith, L.C., Chu, V.W., Gleason, C.J., & M. Li (2015). A caution on the use of digital elevation models to simulate supraglacial hydrology of the Greenland Ice Sheet. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Gleason, C.J., & J. Wang(2015). Derivation of at-many-stations hydraulic geometry (AMHG). Geophysical Research Letters

Gleason, C.J., & A.N. Hamdan (2015). Crossing the (watershed) divide: Satellite data and the changing politics of international river basins. The Geographical Journal.

Gleason, C.J., Smith, L.C., Finnegan, D.C., LeWinter, A.L., Pitcher, L. H, and Chu, V.W. (2015). Technical note: Semi-automated classification of time-lapse RGB imagery for a remote Greenlandic river. Hydrology and Earth Systems Sciences 19, 1-8

Smith, L.C., Chu, V.W., Yang, K., Gleason, C.J., Pitcher, L.H., Rennermalm, A.K., Legleiter, C.J., Behar, A.E., Overstreet, B.T., Moustafa, S.E., Tedesco, M., Forster, R.R., LeWinter, A.L., Finnegan, D.C., Sheng, Y., Balog, J. (2015), Efficient meltwater drainage through supraglacial streams and rivers on the southwest Greenland ice sheet, Proceedings of the National Academy of Sciences), 112(4), 1001-1006

Gleason, C.J. (2015) Hydraulic geometry: a review and future directions. Progress in Physical Geography, 10.1177/0309133314567584

Gleason, C.J., Smith, L.C., & J. Lee (2014). Retrieval of river discharge solely from satellite imagery and at-many-stations hydraulic geometry: sensitivity to river form and optimization parameters. Water Resources Research, 10.1002/2014WR016109

Gleason, C.J. & L.C. Smith (2014). Towards global mapping of river discharge using satellite images and at-many-stations hydraulic geometry. Proceedings of the National Academy of Sciences, 111 (13) 4788-4791

Wang, J., Sheng, Y., Gleason, C.J., & Y. Wada (2013). Downstream Yangtze River levels impacted by the Three Gorges Dam, Environmental Research Letters, 8 (4)

Forestry Research at SUNY ESF

Gleason, C.J., & J. Im (2012). Forest biomass estimation from airborne LiDAR data using machine learning approaches. Remote Sensing of Environment, 125 80-91

Gleason, C.J. & J. Im (2012). A fusion approach for tree crown delineation from LiDAR data. Photogrammetric Engineering & Remote Sensing, 78(7) 679-692

Gleason, C.J., & J. Im (2011). A review of remote sensing of forest biomass and biofuel: options for small area applications. GIScience and Remote Sensing, 48(2) 141-170