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GCE-LTER Data Set Summary

Accession: GIS-GCES-1401a Research Theme: Geospatial Analysis (Directed Study)
Contributors: Christine M. Hladik, Merryl Alber, Kristen Anstead, Nick Scoville
Title: February- March 2010 RTK survey of salt marsh plant ground elevations, plant characteristics and soil properties to support analysis of a LIDAR-derived DEM.
Abstract: Real time kinematic (RTK) GPS survey of ground elevations for six plant species (Spartina alterniflora, Juncus roemerianus, Batis maritima, Distichlis spicata, Salicornia virginica and Borrichia frutescens) and two non-vegetated cover classes (salt pan and intertidal mud) was carried out from February to March 2010 to assess the accuracy of a LIDAR-derived digital elevation model. In total, 369 ground control points (GCP) were collected for the Duplin River (Sapelo Island) and Blackbeard Creek (Blackbeard Island) salt marshes with associated plant and soil charactistics (soil salinity and water content, soil organic matter, soil redox potential). Data were collected to examine the relationships between marsh soil elevation, plant habitat distribution and soil properties and to support the analysis of a a LIDAR-derived digital elevation model (DEM) and RTK data collect in 2009.
DOI: 10.6073/pasta/9fd653841729a14a70a56ff4890874f8
Key Words: elevation, organic content, plant biomass, plant communities, Real Time Kinematic, redox, RTK, salinity, soil carbon, soil moisture, soil organic matter, soil water, soils
LTER Core Area: Primary Production
Research Themes: Geospatial Analysis, Plant Ecology
Study Period: 16-Feb-2010 to 14-Mar-2010
Study Sites:
GCE-DP -- Duplin River, Georgia, USA
» Download Geographic Coverage: Google Earth
Species References: Distichlis spicata, Juncus roemerianus, Salicornia virginica, Spartina alterniflora
Data References: GIS-GCES-1401 (RTK elevation survey data), GIS-GCES-1401b (LIDAR data), GIS-GCES-1401c (LIDAR data), GIS-GCES-1401d (Digital elevation model), GIS-GCES-1401e (Hyperspectral imagery), GIS-GCES-1401f (Hyperspectral imagery), GIS-GCES-1401g (Hyperspectral imagery classifications), GIS-GCES-1401h (NDVI images from hyperspectral imagery classifications)

Schalles, J.F., Hladik, C.M., Nealy, N., Miklesh, D.M., Meile, C., Lynn, T. and O'Donnell, J. Presentation: A 35 year spatial-temporal analysis of serious Spartina alterniflora biomass declines in coastal Georgia. Impact of multiple disturbances on coastal ecosystem structure and function. Coastal and Estuarine Research Federation Biennial Meeting, November 4, 2019, Mobile, Alabama.

Hladik, C.M. and Alber, M. 2012. Accuracy assessment and correction of a LIDAR-derived salt marsh digital elevation model. Remote Sensing of the Environment. 121:234-235. (DOI: 10.1016/j.rse.2012.01.018)

Hladik, C.M., Schalles, J.F. and Alber, M. 2013. Salt marsh elevation and habitat mapping using hyperspectral and LIDAR data. Remote Sensing of the Environment. 139:318 - 330. (DOI: 10.1016/j.rse.2013.08.003)

Downloads: Information

GIS Raster Data: GIS-GCES-1401a_shp (Zip file containing GIS shapefile for 2010 RTK)

Access: Public (released 01-Sep-2013)

Metadata: XML (Ecological Metadata Language)

Data Formats: Zip archive [25 KB]

Data Table: GIS-GCES-1401a_table (Main data table for data set GIS-GCES-1401a, 369 records)

Access: Public (released 01-Sep-2013)

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

Data Formats: Spreadsheet (CSV) [61.93kb],  Text File [59.60kb],  MATLAB (GCE Toolbox) [305.68kb],  MATLAB (Variables) [283.62kb],  Text Report [85.33kb]

Column List:(display)

Statistics: Generate script code to retrieve data tables for analysis in: MATLAB, R, SAS, SPSS
Citation: Hladik, Christine M. 2013. February- March 2010 RTK survey of salt marsh plant ground elevations, plant characteristics and soil properties to support analysis of a LIDAR-derived DEM. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/9fd653841729a14a70a56ff4890874f8

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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.