Georgia Coastal Ecosystems LTER Data Set Details

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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)

Publications:

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:

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)

Column	Name	Units	Type	Description
1	ID	None	integer	RTK sampling point identification number
2	Date	dd-mmm-yyyy	string	Calendar month, day, and year
3	Time	hh:mm	string	hour and minutes (24 hour)
4	UTM_Zone	None	string	UTM Zone
5	UTM_Easting	m	floating-point	UTM easting coordinates
6	UTM_Northing	m	floating-point	UTM northing coordinates
7	RTK_Elevation_MHW	m	floating-point	surveyed RTK ground elevation relative to Mean High Water (NAVD88 - 0.793m)
8	RTK_Elevation_NAVD88	m	floating-point	surveyed RTK ground elevation relative to NAVD 88.
9	Dominant_Plant	None	string	Dominant plant species present at surveyed location
10	Horizontal_Precision	m	floating-point	Horizontal Precision of RTK Northing and Easting
11	Vertical_Precision	m	floating-point	Vertical precision of RTK elevation
12	RMS	m	floating-point	Root mean squared error of RTK elevation (1 sigma)
13	Max_HDOP	None	floating-point	Maximum horizontal dilution of precision
14	Max_VDOP	None	floating-point	Maximum vertical dilution of precision
15	Min_Number_Satellites	None	integer	Minumum number of satellites
16	WaterContent	percent	floating-point	Soil water content
17	Salinity	PSU	floating-point	Soil salinity
18	SOM	percent	floating-point	Soil organic matter
19	Redox	mV	floating-point	Soil redox potential
20	Height	cm	floating-point	Average plant stem height (all species)
21	Count	None	integer	Number of plant stems in 0.25 m x 0.25 m quadrat (all species)
22	ST_Cover	percent	floating-point	Proportional cover of tall S. alterniflora
23	SM_Cover	percent	floating-point	Proportional cover of medium S. alterniflora
24	SS_Cover	percent	floating-point	Proportional cover of short S. alterniflora
25	BM_Cover	percent	floating-point	Proportional cover of Batis maritima
26	SV_Cover	percent	floating-point	Proportional cover of Salicornia virginica
27	DIST_Cover	percent	floating-point	Proportional cover of Distichlis spicata
28	BF_Cover	percent	floating-point	Proportional cover of Borrichia frutescens
29	JR_Cover	percent	floating-point	Proportional cover of Juncus roemerianus

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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