New algorithms for seagrass mapping and determination of seagrass biomass from satellite remote sensing data for Malaysian coastal waters

Research Title .. : .. New algorithms for seagrass mapping and determination of seagrass biomass from satellite remote sensing data for Malaysian
.. .. coastal waters.
Principal Investigator .. : .. Prof. Sr. Dr. Mazlan Hashim
Research Description .. : .. Seagrass beds are highly productive ecosystem They maintain complex trophic nets act as nursery grounds for many marine
.. .. species release nutrients to the sea environment contribute to the oxygenation of the water and act as sediment traps (Odums 1971) Knowledge of seagrass biomass is very useful for managing and evaluating these ecosystem since it responses quickly to the environmental alterations and its changes are in many cases big enough to be monitored using remote sensing (Kirkman 1996) The objectives of this research are to improve algorithms that can be used for seagrass mapping using high spatial and spectral resolution satellite data Further suitable algorithms for seagrass biomass estimation will be determined In this study seagrass biomass will be quantified using satellite together with sea-truth measurements at selected study sites i e Pulau Sibu Merambong shoal and Pulau Tinggi The research will involve predicted and observed methods Predicted method will involve the development of suitable algorithms that can be used on appropriate satellite data to map seagrass areas seagrass-underwaterThe observed method will involve in-situ sea-truth measurements at the study sites Some of the in-situ measurements will be used to calibrate the algorithms while other in-situ measurements will be used in the accuracy assessment Since the satellite data contains geometric distortions geometric corrections will be carried out Digital numbers representing the signal from the seagrass beds will be converted to radiance Atmospheric correction will be carried out to minimize the effects of the atmosphere on the satellite data The improvised algorithms will be used to identify seagrass areas with the aid of some sea-truth measurements. The results will indicate the seagrass map including the percentage of the seagrass biomass. The regression model will be carried out to determine the best algorithm.
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