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GCE-LTER Data Set Summary

Accession: MSH-GCE0-1904 Research Theme: Marsh Ecology (Other Study)
Contributors: Merryl Alber, Jessica O'Connell
Title: 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
Abstract: We estimated land surface temperature from top of atmosphere brightness temperature provided by Landsat 8's band 10 (a thermal band). We collected these measurements first for Spartina alterniflora dominated marsh near the Georgia Coastal Ecosystems Long Term Ecological Research (GCE-LTER) eddy covariance flux tower. Measurements were collected from pixels along three east-west cross sections that spanned a marsh edge to interior gradient. We extracted Landsat 8 data for all available cloud-free low tide dates during August, September, January and February during the years 2013 to 2018 and associated these with marsh elevation information from a 1 m^2 Digital Elevation Model (DEM), created by Haldik et al 2013, also available from the GCE data catalog (http://dx.doi.org/10.6073/pasta/4c5187ef603f70cd0a77ece24ef0fed9). We rescaled the DEM to the coarser spatial resolution of Landsat 8 (30 x 30 m) where the rescaled elevation was the mean of the constituent DEM values. Ultimately, we used generalized additive models to relate land surface temperature to elevation, while accounting for variation from spatial proximity, transect and sample date. These models revealed that land surface temperature was negatively related to marsh elevation on the marsh platform. We then confirmed the generality of this pattern by rederiving these same relationships for three cross sections of Spartina alterniflora marsh at Virginia Coast Reserve (VCR) LTER for winter sampling dates only (data also included here). DEM data for VCR LTER are available at https://www.vcrlter.virginia.edu/gisdata/LIDAR/USGS2015/. We used custom R functions that can convert Landsat 8 top of atmosphere brightness temperature or top of atmosphere radiance from band 10 data to land surface temperature, which are available at https://github.com/jloconnell/convert_top_of_atmosphere_thermal_to_land_surface_temperature. Currently, a provisional land surface temperature product is available on earthexplorer.usgs.gov, which was not available at the time of this study. However the R functions and scripts hosted on O'Connell's github will allow end-users to repeat our calculations for any Landsat 8 pixel and will also provide the ability to customize the atmospheric correction algorithms and calibrate the resulting land surface temperature estimation to ground-truth information.
DOI: 10.6073/pasta/f3917ecc86ec9b67921f8fb3c33b770c
Key Words: Climate Monitoring, cross-site research, digital elevation model, elevation, GCE, Georgia, remote sensing, salt marshes, Sapelo Island, summer, temperature, VCR, wetlands, winter
LTER Core Area: Other Site Research
Research Themes: Marsh Ecology
Study Period: 01-Aug-2013 to 01-Oct-2018
Study Sites:
GCE_Flux -- GCE Flux Tower Marsh, Sapelo Island, Georgia
VCR -- Virginia Coast Reserve LTER, Virginia, USA
» Download Geographic Coverage: Google Earth
Data References: GIS-GCES-1401d (Marsh DEM data set)
Downloads: Information

Data Table: MSH-GCE0-1904 (landsat 8 land surface temp elevation data, 1207 records)

Access: Public (released 24-Apr-2019)

Metadata: Text (ESA FLED), XML (Ecological Metadata Language)

Data Formats: Spreadsheet (CSV) [186.25kb],  Text File [180.58kb],  MATLAB (GCE Toolbox) [97.62kb],  MATLAB (Variables) [98.67kb],  Text Report [208.87kb]

Column List:(display)


GIS Keyhole Markup Language File: MSH-GCE0-1904_landsat8_crosssection_locations_gce (Georgia Coastal Ecosystems LTER cross section pixel locations)

Access: Public (released 24-Apr-2019)

Metadata: XML (Ecological Metadata Language)

Data Formats: Google Earth Keyhole Markup Language (KML) file [21.2 kb]


GIS Keyhole Markup Language File: MSH-GCE0-1904_landsat8_crosssection_locations_vcr (Virginia Coast Reserve LTER cross section pixel locations)

Access: Public (released 24-Apr-2019)

Metadata: XML (Ecological Metadata Language)

Data Formats: Google Earth Keyhole Markup Language (KML) file [31.3 kb]

Statistics: Generate script code to retrieve data tables for analysis in: MATLAB, R, SAS, SPSS
Citation: Alber, Merryl. 2019. 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. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/f3917ecc86ec9b67921f8fb3c33b770c

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LTER
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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.