Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/50809
Title: Tropical algal bloom monitoring by sea truth, spectral, and simulated satellite data
Authors: Lin, I.-I. 
Khoo, Victor 
Holmes, Michael 
Teo, Serena 
Koh, Siong Teck
Gin, Karina 
Issue Date: 1999
Source: Lin, I.-I.,Khoo, Victor,Holmes, Michael,Teo, Serena,Koh, Siong Teck,Gin, Karina (1999). Tropical algal bloom monitoring by sea truth, spectral, and simulated satellite data. International Geoscience and Remote Sensing Symposium (IGARSS) 2 : 931-933. ScholarBank@NUS Repository.
Abstract: This research assesses the potential of using remote sensing ocean colour measurements in algal bloom monitoring by the simulation of 9 different types of ocean colour and high resolution visible sensors. After 2 years of research, the results suggest that large scale (500m to 1km) algal blooms may be detected from the ocean colour measurements. The GLI sensor onboard the upcoming ADEOS-II satellite provides the highest spectral capability in bloom type differentiation. In terms of the combination of spectral and spatial capability, the results show that the ENVISAT MERIS sensor provides the best combination. The high resolution mode (300m) of MERIS is expected to be a very powerful tool in the coastal area as smaller scale algal blooms (150m-300m) can also be detected.
Source Title: International Geoscience and Remote Sensing Symposium (IGARSS)
URI: http://scholarbank.nus.edu.sg/handle/10635/50809
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