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Jessica O'Connell, Post-doctoral Associate (Alber)

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)

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.