Home > Data > Data Search > Data Catalog > Data Set Summary | Update Metadata (contributor) | Copy as Template (GCE)
Files Jump to Files

GCE-LTER Data Set Summary

Accession: GIS-GCES-1401e Research Theme: Geospatial Analysis (Directed Study)
Contributors: Christine M. Hladik, John Schalles
Title: 2006 AISA hyperspectral imagery of the GCE domain for water
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 six flight lines flown for the examination of water spectral properties for the Satilla River, Altamaha River, and Sapelo Sound. Imagery was acquired for 97 bands from 435-950 nm at a 1 m spatial resolution. The bandwidths were preselected by investigators with CALMIT to to capture the photoplankton red reflectance feature and carotenoid and chlorophyll driven absorption behaviors. These data were acquired for the following purposes: 1) calculate suites of remote sensing phytoplankton indices, (2) produce algorithms for predicting plant and phytoplankton chlorophyll and accessory pigments and productivity, 3) assess water quality, and (4) perform atmospheric corrections.
DOI: 10.6073/pasta/2b3428459a108863b5d85f499dc4bff8
Key Words: Altamaha River, chlorophyll, hyperspectral, phytoplankton, remote sensing, Sapelo Sound, Satilla River, water
LTER Core Area: Primary Production
Research Themes: Geospatial Analysis, Plant Ecology
Study Period: 20-Jun-2006 to 21-Jun-2006
Study Sites:
GCE-SP -- Sapelo River, Georgia, USA
GCE-AL -- Altamaha 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-1401f (Hyperspectral imagery classifications), GIS-GCES-1401g (Hyperspectral imagery classifications), GIS-GCES-1401h (NDVI images from hyperspectral imagery classifications)
Publications:

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-1401e_Altamaha_Water (Zip file containing raw ENVI data files from flight lines over the Altamaha River.)

Access: Public (released 01-Sep-2013)

Metadata: XML (Ecological Metadata Language)

Data Formats: Zip archive [3,361,706 KB]


GIS Raster Data: Gis-GCES-1401e_SapeloSound_Water (Zip file containing raw ENVI data files from flight lines over Sapelo Sound)

Access: Public (released 01-Sep-2013)

Metadata: XML (Ecological Metadata Language)

Data Formats: Zip archive [1,860,519 KB]


GIS Raster Data: GIS-GCES-1401e_Satilla_Water (Zip file containing raw ENVI data files from flight lines over the Satilla River)

Access: Public (released 01-Sep-2013)

Metadata: XML (Ecological Metadata Language)

Data Formats: Zip archive [2,141,089 kb]

Citation: Hladik, Christine M. 2013. 2006 AISA hyperspectral imagery of the GCE domain for water. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/2b3428459a108863b5d85f499dc4bff8

» Help about file formats, technical specifications and file versioning

LTER
NSF

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.