Correlation between aircraft MSS and LIDAR remotely sensed data on a forested wetland in South Carolina

Conference · Thu Jan 01 04:00:00 EST 1987

OSTI ID:6216494

Jensen, J R; Hodgson, M E; Mackey, Jr, H E; Krabill, W

Wetlands 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.

• Research Organization: South Carolina Univ., Columbia (USA). Dept. of Geography; Savannah River Lab., Aiken, SC (USA); National Aeronautics and Space Administration, Wallops Island, VA (USA). Wallops Station
• DOE Contract Number: AC09-76SR00001
• OSTI ID: 6216494
• Report Number(s): DP-MS-87-15; CONF-871098-1; ON: DE87011229
• Country of Publication: United States
• Language: English

Related Subjects

520500* -- Environment
Aquatic-- Site Resource & Use Studies-- (-1989)
54 ENVIRONMENTAL SCIENCES
AQUATIC ECOSYSTEMS
CLASSIFICATION
COMMUNITIES
ECOSYSTEMS
MAPPING
MEASURING INSTRUMENTS
MULTISPECTRAL PHOTOGRAPHY
NATIONAL ORGANIZATIONS
OPTICAL RADAR
PHOTOGRAPHY
PLANTS
RADAR
RANGE FINDERS
REMOTE SENSING
SAVANNAH RIVER PLANT
US AEC
US DOE
US ERDA
US ORGANIZATIONS
WETLANDS