US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

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Use the information below for citation of this site. See the Data Policy page for more details.

DOI(s) for citing US-GCE data

Data Use Policy: AmeriFlux Legacy Policy

AmeriFlux BASE: https://doi.org/10.17190/AMF/2998637
Citation: Deepak Mishra, Peter A Hawman (2025), AmeriFlux BASE US-GCE Georgia Coastal Ecosystems LTER Flux Tower, Ver. 1-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/2998637

To cite BADM when downloaded on their own, use the publications below for citing site characterization. When using BADM that are downloaded with AmeriFlux BASE and AmeriFlux FLUXNET products, use the DOI citation for the associated data product.

Publication(s) for citing site characterization

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US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

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US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

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Search Images for this Site Images found : 2

AmeriFlux Images

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Tower
Keywords: —
**Credit:** Jacob Schalack
**Site ID:** US-GCE
**Location:** United States
**Image Date:** 2021/04/21
**Journal:** —
**Article Title:** —
**Copyright Permissions:** —
**Right to Use:** As long as credit is given

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Tower at high tide
Keywords: —
**Credit:** John Schalles
**Site ID:** US-GCE
**Location:** United States
**Image Date:** 2019/08/03
**Journal:** —
**Article Title:** —
**Copyright Permissions:** —
**Right to Use:** As long as credit is given

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US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

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Remote Sensing Data
- MODIS
- PhenoCam
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MODIS NDVI

The time series shows the 16-day Normalized Difference Vegetation Index (NDVI) average from the MOD13Q1 data product.
Use the slider below the time series to zoom in and out.

Includes all pixels that have acceptable quality

To view / download these data and other MOD13Q1 products for this site, visit MODIS/Terra Vegetation Indices.

For other related products, visit MODIS/VIIRS Fixed Sites Subsets Tool.

Citation:

ORNL DAAC. 2018. Terrestrial Ecology Subsetting & Visualization Services (TESViS) Fixed Sites Subsets. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1567

Read more on how to cite these MODIS products. Data come from NASA’s MODIS instruments installed on satellites Terra and Aqua, which scan the entire Earth’s surface every one to two days.

MODIS NDVI subsetted data is not yet available for this site.

For a complete list of AmeriFlux sites, visit ORNL DAAC's MODIS/VIIRS Fixed Sites Subsets Tool.

PhenoCam Images and Derived Time Series Data

PhenoCams are high-resolution digital cameras that take repeated images of studied ecosystems and provide quantitative information about the canopy phenology. The PhenoCam Network coordinates the camera installation and data reporting/analyses across sites in the Americas, providing automated, near-surface remote sensing of canopy phenology across a range of ecosystems and climate zones. Use of PhenoCam images / data should follow the PhenoCam Data Use Policy .

PhenoCam sites for US-GCE:

gcesapelo

Use the links below to explore camera images and interactive timeseries for these sites.

PhenoCam site: gcesapelo

Green Chromatic Coordinate Time Series

ROI: WL_1000

Citation:

B. Seyednasrollah, A. M. Young, K. Hufkens, T. Milliman, M. A. Friedl, S. Frolking, and A. D. Richardson. Tracking vegetation phenology across diverse biomes using version 2.0 of the phenocam dataset. Scientific Data, 6(1):222, 2019. doi:10.1038/s41597-019-0229-9

Camera Imagery
 Milliman, T., B. Seyednasrollah, A.M. Young, K. Hufkens, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz-Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. 2019. PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1689

Green Chromatic Coordinate Time Series 
Seyednasrollah, B., A.M. Young, K. Hufkens, T. Milliman, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J. Baker, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz-Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, T.L. O'Halloran, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, S. Wolf, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. 2019. PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1674

GeoNEX Data Products

GeoNEX led by NASA Earth eXchange (NEX) is a collaborative effort for generating Earth monitoring products from the new generation of geostationary satellite sensors. GeoNEX has produced a suite of geostationary data products including surface reflectance, land surface temperature, surface solar radiation, and many others.

The GeoNEX Common Grid locates GeoNEX data in the geographic (latitude/longitude) projection. Pixels (grid cells) are created at regular 0.005°, 0.01°, and 0.02° resolutions.

GeoNEX pixels below cover the area 0.06° x 0.06° around and including site .

Click a square in the grid at left to display its data below.

Coordinates for selected GeoNEX Pixel

Graph controls:

Zoom: click-drag
Pan: shift-click-drag
Restore zoom level: double-click
Use the slider below the time series to zoom in and out.

All download requests will be logged.

NDVI: Normalized Difference Vegetation Index

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel:

NIRv Near-Infrared Reflectance of vegetation

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel:

DSR: Surface downward shortwave radiation

Resolution: 0.01° x 0.01° & Hourly

Coordinates for pixel:

LST: Land Surface Temperature

Resolution: 0.02° x 0.02° & Hourly

Coordinates for pixel:

Citation

This material can be used without obtaining permission from NASA. NASA should be acknowledged as the source of this material.

Subset Data Citation:

Hashimoto, H., Wang, W., Park, T., Khajehei, S., Ichii, K., Michaelis, A.R., Guzman, A., Nemani, R.R., Torn, M., Yi, K., Brosnan, I.G. (in preparation). Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles.

Relevant Science Publication Citation:

GeoNEX Surface Reflectance for Vegetation Indices (NDVI & NIRv)

Wang, W., Wang, Y., Lyapustin, A., Hashimoto, H., Park, T., Michaelis, A., & Nemani, R. (2022). A novel atmospheric correction algorithm to exploit the diurnal variability in hypertemporal geostationary observations. Remote Sensing, 14(4), 964.

GeoNEX Surface Downward Solar Radiation (DSR):

Li, R., Wang, D., Wang, W., & Nemani, R. (2023). A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation. Earth System Science Data, 15(3), 1419-1436.

GeoNEX Land Surface Temperature (LST):

Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment, 278, 113105.

US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

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Search Publications for this Site Publications Found: 5

AmeriFlux Publications

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Year	Publication
2022	Gaiser, E. E., Kominoski, J. S., McKnight, D. M., Bahlai, C. A., Cheng, C., Record, S., Wollheim, W. M., Christianson, K. R., Downs, M. R., Hawman, P. A., Holbrook, S. J., Kumar, A., Mishra, D. R., Molotch, N. P., Primack, R. B., Rassweiler, A., Schmitt, R. J., Sutter, L. A. (2022) Long‐Term Ecological Research And The Covid‐19 Anthropause: A Window To Understanding Social–Ecological Disturbance, Ecosphere, 13(4), . https://doi.org/10.1002/ecs2.4019
2020	Nahrawi, H., Leclerc, M., Pennings, S., Zhang, G., Singh, N., Pahari, R. (2020) Impact Of Tidal Inundation On The Net Ecosystem Exchange In Daytime Conditions In A Salt Marsh, Agricultural And Forest Meteorology, 294, 108133. https://doi.org/10.1016/j.agrformet.2020.108133
2023	Turner, J., Desai, A. R., Blackstock, J. M., Smith, D. (2023) Tidal Influence On Dissolved Co2 At Sapelo Island, Georgia, Usa, Environmental Research: Ecology, 2(1), 015002. https://doi.org/10.1088/2752-664X/aca0f4
2021	Hawman, P. A., Mishra, D. R., O’Connell, J. L., Cotten, D. L., Narron, C. R., Mao, L. (2021) Salt Marsh Light Use Efficiency Is Driven By Environmental Gradients And Species‐Specific Physiology And Morphology, Journal Of Geophysical Research: Biogeosciences, 126(5), . https://doi.org/10.1029/2020JG006213
2020	Feagin, R. A., Forbrich, I., Huff, T. P., Barr, J. G., Ruiz‐Plancarte, J., Fuentes, J. D., Najjar, R. G., Vargas, R., Vázquez‐Lule, A., Windham‐Myers, L., Kroeger, K. D., Ward, E. J., Moore, G. W., Leclerc, M., Krauss, K. W., Stagg, C. L., Alber, M., Knox, S. H., Schäfer, K. V., Bianchi, T. S., Hutchings, J. A., Nahrawi, H., Noormets, A., Mitra, B., Jaimes, A., Hinson, A. L., Bergamaschi, B., King, J. S., Miao, G. (2020) Tidal Wetland Gross Primary Production Across The Continental United States, 2000–2019, Global Biogeochemical Cycles, 34(2), . https://doi.org/10.1029/2019GB006349

US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

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BADM for This Site

Access the Biological, Ancillary, Disturbance and Metadata (BADM) information and data for this site.

BADM contain information for many uses, such as characterizing a site’s vegetation and soil, describing disturbance history, and defining instrumentation for flux processing. They complement the flux/met data.

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US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

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Tower_team:
PI:	Deepak Mishra dmishra@uga.edu - University of Georgia
FluxContact:	Peter Hawman peterhawman@uga.edu - University of Georgia
Lat, Long:	31.4441, -81.2835
Elevation(m):	0.625
Network Affiliations:	AmeriFlux, LTER
Vegetation IGBP:	WET (Permanent Wetlands: Lands with a permanent mixture of water and herbaceous or woody vegetation that cover extensive areas. The vegetation can be present in either salt, brackish, or fresh water)
Climate Koeppen:	Cfa (Humid Subtropical: mild with no dry season, hot summer)
Mean Annual Temp (°C):	19.83
Mean Annual Precip. (mm):	1284
Flux Species Measured:	CO2
Years Data Collected:	2013 - Present
Years Data Available:	AmeriFlux BASE 2013 - 2024 Data Citation
Data Use Policy:	AmeriFlux Legacy Policy
Description:	Spartina alterniflora-dominated salt marsh on the interior of Sapelo Island, a barrier island on the Georgia Coast. The GCE-LTER research program was initiated ... Spartina alterniflora-dominated salt marsh on the interior of Sapelo Island, a barrier island on the Georgia Coast. The GCE-LTER research program was initiated in September 2000, and the eddy covariance flux tower was deployed in the salt marsh in July 2013. Septmber - March has North-northeast winds has SURFACE_HOMOGENEITY of 270m. See More Show Less
URL:	http://gce-lter.marsci.uga.edu/portal/flux_tower.htm
Research Topics:	Coastal marsh and estuarine ecology
Acknowledgment:	Data provided by the Georgia Coastal Ecosystems LTER program, funded by the National Science Foundation under grants OCE-1237140 and OCE-1832178

US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

DOI(s) for citing US-GCE data

Publication(s) for citing site characterization

Acknowledgments

Resources

US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

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US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

Tower

Tower at high tide

US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

BADM for This Site

US-GCE: Georgia Coastal Ecosystems LTER Flux Tower

No wind rose data is available at this time.