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Jessica O'Connell, Wetland Plant Ecology and Remote Sensing

GCE Committees:

GCE Disturbance Committee, GCE Flux Tower Committee

Contact Information:

Primary Organization:  University of Georgia

Mailing Address:

Dr. Jessica O'Connell
Department of Marine Sciences
University of Georgia
Athens, Georgia 30602-3636

E-Mail:  jloconn@uga.edu


GCE Data Sets:

MSH-GCE0-1904 (Variation in Landsat 8-estimated land surface temperature with elevation from Spartina alterniflora marsh cross sections in the Georgia Coastal Ecosystems Long Term Ecological Research (GCE-LTER) site and Virginia Coast Reserve (VCR) LTER sites for winter and summer observations spanning 2013-2018)

MSH-GCED-1904 (Continuous soil temperature measurements at 10 cm depth from 3 month-long deployments in summer and winter within the Georgia Coastal Ecosystems Long Term Ecological Research (GCE-LTER) site in 2017 and 2018)

GCE Publications and Presentations: (custom bibliography)

Journal Articles

Alber, M. and O'Connell, J. 2019. Elevation drives gradients in surface soil temperature within salt marshes. Geophysical Research Letters. 46:5313-5322. (DOI: https://doi.org/10.1029/2019GL082374)

O'Connell, J., Alber, M. and Pennings, S.C. 2019. Microspatial differences in soil temperature cause phenology change on par with long-term climate warming in salt marshes. Ecosystems. (DOI: https://doi.org/10.1007/s10021-019-00418-1)

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)

O'Connell, J. and Alber, M. 2016. A smart classifier for extracting environmental data from digital image time-series: Applications for PhenoCam data in a tidal salt marsh. Environmental Modelling & Software. 84:134-139. (DOI: 10.1016/j.envsoft.2016.06.025)

Conference Posters and Presentations

Hawman, P., Mishra, D., Cotten, D.L., O'Connell, J., Narron, C. and Mao, L. Presentation: Salt marsh light use efficiency and gross primary productivity in response to environmental conditions. Disturbance Impacts on Ecological and Biogeochemical Processes in Coastal Wetlands I. American Geophysical Union Fall Meeting 2019, December 12, 2019, San Francisco, California.

Hawman, P., Mishra, D., O'Connell, J., Cotten, D.L., Narron, C. and Mao, L. Presentation: Salt marsh light use efficiency and gross primary production in response to environmental conditions. Carbon fluxes in coastal systems. CERF Biennial Conference 2019, November 5, 2019, Mobile, Alabama.

O'Connell, J., Alber, M., Mishra, D. and Byrd, K.B. 2018. Presentation: Landsat models of Spartina alterniflora belowground biomass in coastal marshes. Ecological Society of America, New Orleans, LA.

O'Connell, J., Mishra, D., Alber, M. and Byrd, K.B. 2017. Presentation: Estimating patterns in Spartina alterniflora belowground biomass within salt marshes. American Geophysical Union, New Orleans, LA.

LTER
NSF

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.