Correlation between aircraft MSS and LIDAR remotely sensed data on a forested wetland in South Carolina
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
- Resource Relation:
- Conference: Fall convention of the American Society of Photogrammetry and remote sensing, Reno, NV, USA, 4 Oct 1987; Other Information: Portions of this document are illegible in microfiche products
- Country of Publication:
- United States
- Language:
- English
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SAVANNAH RIVER PLANT
WETLANDS
MAPPING
REMOTE SENSING
CLASSIFICATION
COMMUNITIES
MULTISPECTRAL PHOTOGRAPHY
OPTICAL RADAR
PLANTS
AQUATIC ECOSYSTEMS
ECOSYSTEMS
MEASURING INSTRUMENTS
NATIONAL ORGANIZATIONS
PHOTOGRAPHY
RADAR
RANGE FINDERS
US AEC
US DOE
US ERDA
US ORGANIZATIONS
520500* - Environment
Aquatic- Site Resource & Use Studies- (-1989)