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A Satellite Based Monitoring of Changes in Mangroves in Krabi, Thailand
Tipamat Upanoi1,2 and Nitin K. Tripathi1
1 Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand
2Phuket Marine Biological Center, P.O. Box 60,Maung, Phuket 83000, Thailand
nitinkt@ait.ac.th
Abstract
A RGB-NDVI was developed to display and quantify mangrove forest change using three dates of Landsat satellite imagery. The Normalized difference vegetation index (NDVI) was computed for each date of imagery to define high and low vegetation biomass. Color composites were generated by combining each date of NDVI in the red, green, and blue (RGB) image. Mangrove change logic was used to interpret forest change over the landscape on the three date NDVI color composite. Degraded and rehabilitation mangrove area coverage were quantified by applying an unsupervised classification generating a RGB-NDVI image with 5 classes which were grouped into 4 main categories. The utility of the RGB-NDVI techniques for updating mangrove forest information are presented and discussed.
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