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GCE-LTER Data Set Summary
Accession:
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GIS-GCES-1401e
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Research Theme:
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Geospatial Analysis (Directed Study)
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Contributors:
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Christine M. Hladik, John Schalles
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Title:
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2006 AISA hyperspectral imagery of the GCE domain for water
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Abstract:
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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.
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DOI:
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10.6073/pasta/2b3428459a108863b5d85f499dc4bff8
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Key Words:
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Altamaha River, chlorophyll, hyperspectral, phytoplankton, remote sensing, Sapelo Sound, Satilla River, water
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LTER Core Area:
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Primary Production
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Research Themes:
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Geospatial Analysis, Plant Ecology |
Study Period:
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20-Jun-2006 to 21-Jun-2006
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Study Sites:
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GCE-SP -- Sapelo River, Georgia, USA
GCE-AL -- Altamaha River, Georgia, USA
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Data References:
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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)
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Publications:
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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)
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Downloads:
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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]
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Citation:
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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
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