Context and objectivesECOLAS is currently bidding for different EIA's related to port and offshore investment projects. One of the bids concerns the "Thai Offshore Base" (TOB) project, in the framework of which a port facility is to be constructed near the existing port of Songkhla on the South-East coast of Thailand. This EIA is wide-ranging in scope, covering many potential pollution aspects. However, key elements relate to possible disruption and/or damage to the marine environment from suspended sediments dumped after dredging operations, and to possible changes in coastal and marine water movement. The necessary baseline information on the existing suspended sediment climate and on existing port discharges of waste water and subsequent transport in the coastal zone is lacking, suggesting an opening for the use of optical remnote sensing.
The specific objective of this project is to obtain, from optical remote sensing data, baseline environmental information on the suspended sediment climate (including location of high turbidity regions and rainfall-induced seasonal variability) and on the main characteristics of phytoplankton distribution and dynamics in the coastal zone affected by the port facility to be constructed at Songkhla. This information will be used in Ecolas' Environmental Impact Assessment.
The following tasks will be carried out to achieve the stated objectives :
- A summary will be made of the existing data (if any) relating to suspended particulate matter and chlorophyll distributions in the coastal zone of the port of Songkhla.
- A summary will be made of the potential sources of optical remote sensing data (e.g. Landsat, SPOT, SeaWiFS, AVHRR, etc.) with an appraisal of each sensor for the present application in terms of spatial, temporal and spectral coverage and resolution, data availability, etc.
- The selected imagery will be processed to give suspended matter and chlorophyll distributions
- A scientific analysis will be made of the processed imagery, noting both remote sensing aspects that may affect the data quality as well as interpreting the imagery in terms of physical/biological processes
- The remote sensing imagery and accompanying scientific analysis will be incorporated into Ecolas' Environmental Impact Assessment.
Expected scientific results
|Project leader(s):||IRSNB/KBIN - Directorate Natural Environment - Ecosystems data processing and modelling|