Pre-processing methods of satellite imagery for coastal wetlands studies in the southeastern United States
- Univ. of South Florida, St. Petersburg, FL (United States); and others
Southeastern United States coastal wetlands in Florida and South Carolina are being analyzed using historical remotely sensed data to determine long term changes in wetland vegetation. A time series of Landsat imagery from 1972 to 1996 is being acquired and pre-processed to facilitate change detection analysis. This paper presents the pre-processing techniques being applied to the imagery for the Florida study area. Landsat Thematic Mapper (TM) and Multi-Spectral Scanner (MSS) imagery were chosen from the optimal seasonal periods when biomass could be determined, before dormancy or after spring leaf-out. The rectification of each scene to the UTM (Universal Transverse Mercator) coordinate system is based on field collected GPS (Global Positioning System) control, standardized for each region. Map accuracy equivalent of 1:50,000 is achieved for the time series in each region and inter-image registration is consistently one pixel or better. Normalization of imagery reflectance values is achieved with radiometric enhancements and atmospheric corrections. These satellite image time series will serve as input to a model which will identify the sensitivity of tidal marshes to combinations of natural and human impacts.
- OSTI ID:
- 478173
- Report Number(s):
- CONF-970319-; TRN: 97:002802-0067
- Resource Relation:
- Conference: 4. thematic international conference on remote sensing for marine and coastal environments: technology and applications, Orlando, FL (United States), 17-19 Mar 1997; Other Information: PBD: 1997; Related Information: Is Part Of Proceedings of the fourth international conference on remote sensing for marine and coastal environments. Technology and applications: Volume I; PB: 741 p.
- Country of Publication:
- United States
- Language:
- English
Similar Records
1985 ACSM-ASPRS Fall Convention, Indianapolis, IN, September 8-13, 1985, Technical Papers
Remote sensing inland wetlands: a multispectral approach