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GCE-LTER Data Set Summary

Accession: GIS-GCES-1401f Research Theme: Geospatial Analysis (Directed Study)
Contributors: Christine M. Hladik, John Schalles
Title: 2006 AISA hyperspectral imagery of the GCE domain for vegetation
Abstract: Airborne Imaging Spectrometer for Applications (AISA) Eagle hyperspectral imagery were acquired on June 20-21, 2006, by the Center for Advanced Land Management Information Technologies (CALMIT). This included ten flight lines flown for the examination of salt marsh and upland vegetation spectral properties near Blackbeard Creek, the Duplin River, Dean Creek, and the Altamaha River. Imagery was acquired for 63 bands from 400-980 nm at a 1 m spatial resolution. The bandwidths were preselected by investigators with CALMIT to to capture the vegetative red reflectance feature, leaf water content related NIR reflectance, and carotenoid and chlorophyll driven absorption behaviors. These data were acquired for the following purposes: 1) calculate suites of remote sensing vegetation indices, (2) produce algorithms for predicting plant and phytoplankton chlorophyll and accessory pigments, vegetation biomass, 3) assess vegetative health, and (4) perform atmospheric corrections.
DOI: 10.6073/pasta/09075b66ccf91a0c87ffbd113f754977
Key Words: Altamaha River, Blackbeard Creek, Dean Creek, Duplin River, hyperspectral, plant communities, plant cover, plant species composition, remote sensing, salt marshes, vegetation
LTER Core Area: Primary Production
Research Themes: Geospatial Analysis, Plant Ecology
Study Period: 20-Jun-2006 to 21-Jun-2006
Study Sites:
GCE6 -- Dean Creek, Sapelo Island, Georgia, USA
GCE-AL -- Altamaha River, Georgia, USA
GCE-DP -- Duplin River, Georgia, USA
» Download Geographic Coverage: Google Earth
Data References: GIS-GCES-1401 (RTK elevation survey data), GIS-GCES-1401a (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-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., 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)

Hladik, C.M. and Alber, M. 2014. Classification of salt marsh vegetation using edaphic and remote sensing-derived variables. Estuarine, Coastal and Shelf Sciences. 141:47 - 57. (DOI: 10.1016/j.ecss.2014.01.011)

Downloads: Information

GIS Raster Data: GIS-GCES-1401f-DeanCreek_Veg (Zip file containing raw ENVI data file from flight lines over Dean Creek for vegetation)

Access: Public (released 01-Sep-2013)

Metadata: XML (Ecological Metadata Language)

Data Formats: Zip archive [417,249 KB]


GIS Raster Data: GIS-GCES-1401f_Altamaha_Veg (Zip file containing raw ENVI data files from flight lines over Altamaha River for vegetation)

Access: Public (released 01-Sep-2013)

Metadata: XML (Ecological Metadata Language)

Data Formats: Zip archive [2,310,946 KB]


GIS Raster Data: GIS-GCES-1401f_Blackbeard_Veg (Zip file containing raw ENVI data files for flight lines over Blackbeard Island for vegetation)

Access: Public (released 01-Sep-2013)

Metadata: XML (Ecological Metadata Language)

Data Formats: Zip archive [837,741 KB]


GIS Raster Data: GIS-GCES-1401f_Duplin_Veg (Zip file containing raw ENVI data files for flight lines over Duplin River for vegetation)

Access: Public (released 01-Sep-2013)

Metadata: XML (Ecological Metadata Language)

Data Formats: Zip archive [5,150,333 KB]

Citation: Hladik, Christine M. 2013. 2006 AISA hyperspectral imagery of the GCE domain for vegetation. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/09075b66ccf91a0c87ffbd113f754977

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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.