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Correlation between aircraft MSS and LIDAR remotely sensed data on a forested wetland in South CarolinaWetlands in a portion of the Savannah River swamp forest, the Steel Creek Delta, were mapped using April 26, 1985 high-resolution aircraft multispectral scanner (MSS) data. Due to the complex spectral characteristics of the wetland vegetation, it was necessary to implement several techniques in the classification of the MSS imagery of the Steel Creek Delta. In particular, when performing unsupervised classification, an iterative cluster busting technique was used which simplified the cluster labeling process. In addition to the MSS data, light detecting and ranging (LIDAR) data were acquired by National Aeronautics and Space Administration (NASA) personnel along two flightlines over the Steel Creek Delta. These data were registered with the wetland classification map and correlated. Statistical analyses demonstrated that the laser derived canopy height information was significantly correlated with the Steel Creek Delta wetland classes encountered along the profiling transect of the LIDAR data.
Document ID
19880054724
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Jensen, John R.
(South Carolina, University Columbia, United States)
Hodgson, Michael E.
(Colorado, University Boulder, United States)
Mackey, Halkard E., Jr.
(Savannah River Laboratory Aiken, SC, United States)
Krabill, William
(NASA Wallops Flight Facility Wallops Island, VA, United States)
Date Acquired
August 13, 2013
Publication Date
January 1, 1987
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: American Society for Photogrammetry and Remote Sensing and ACSM, Fall Convention
Location: Reno, NV
Country: United States
Start Date: October 4, 1987
End Date: October 9, 1987
Sponsors: American Society for Photogrammetry and Remote Sensing and ACSM
Accession Number
88A41951
Funding Number(s)
CONTRACT_GRANT: DE-AC09-76SR-00001
Distribution Limits
Public
Copyright
Other

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