Content Details
Feasibility of Using Remote-Sensing Techniques for Shoreline Delineation and Coastal Habitat Classification for Environmental Sensitivity Index (Esi) Mapping
- Branch
- Executive
- Category
- Executive Agency Publications
- SuDoc Class Number
- I 72.
- Government Author
- Interior Department, Minerals Management Service
- Personal Author
- Born-Phillips K; Locke C; Michel J; Braud D
- Series Title
- BOEM Environmental Studies
- Publication Title
- Feasibility of Using Remote-Sensing Techniques for Shoreline Delineation and Coastal Habitat Classification for Environmental Sensitivity Index (Esi) Mapping
- Date Issued
- 2005
- Subject
- Marine Biodiversity
Coastal & Estuarine Habitats
Environmental Sensitivity Index; Land/Water Interface; Satellite Imagery; Shoreline Types; IKONOS; Remote Sensing; Classification; Shoreline Delineation; Coastal Habitat; Greenness; Vegetation Index; Tasseled Cap; Louisiana Coast; Central Gulf
- Obligation Number
- 1435-01-99-CA-30951-85250
- Geographic Scope
- Gulf of Mexico
- Report Number
- 2005-047
- CSE Reference
- Born-Phillips K, Locke C, Michel J, Braud D (Louisiana State University, Baton Rouge, LA). 2005. Feasibility of using remote-sensing techniques for shoreline delineation and coastal habitat classification for environmental sensitivity index (ESI) mapping. New Orleans (LA): US Department of the Interior, Minerals Management Service. 5 p. Obligation No.: 1435-01-99-CA-30951-85250. Report No.: OCS Study MMS 2005-047. URL: https://espis.boem.gov/Technical%20Summaries/4225.pdf
- Abstract
- Environmental Sensitivity Index (ESI) mapping refers to a shoreline classification and sensitivity ranking system that has been a vital component of oil spill contingency planning and marine environmental assessment programs nationwide for 25 years (Halls et al., 1997). The U.S. Minerals Management Service (MMS) currently uses ESI data and the ESI classification scheme for environmental assessment studies related to Outer Continental Shelf (OCS) activities. Traditional ESI data development includes the interpretation of aerial photographs and mapped observations by coastal geologists during over flights. This method has been applied successfully to the majority of the U.S. coastline. The complex, rapidly changing shoreline of Louisiana, however, has made ESI mapping extremely difficult using traditional techniques. As a result, a coast-wide ESI shoreline classification has never been developed for Louisiana. This represents a major information gap, as oil spill risk and environmental consequences in Louisiana are great. The primary objectives of this study are to develop remote sensing classification procedures supporting ESI mapping efforts in Louisiana and elsewhere; To determine if remote sensing methods are as reliable as traditional methods, more cost effective, and more efficient; To assess the appropriateness of the spectral and spatial resolution of IKONOS satellite imagery for ESI mapping; To substantiate the cost savings of archived imagery; To ascertain if a viable land/water interface can be developed from IKONOS imagery; and to discover if an ESI style product useful for spill response and coastal management can be developed.