Predictive Model of Mangroves Carbon Stocks in Kedah, Malaysia using Remote Sensing

Mangroves are recognized as an ecosystem that grow and dominate the coastal areas of tropical and sub-tropical regions across the world. They not only provide ecological and socio-economic support, but also play a pivotal role in offsetting an excess of carbon from the atmosphere. Despite the crucia...

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Bibliographic Details
Main Authors:	Bakar, A.N (Author), Hashim, T.M.Z.T (Author), Ismail M.H (Author), Jaafar, J. (Author), Mat R.C (Author), Omar H. (Author), Sathyamoorthy D. (Author), Shariff A.R.M (Author), Singh, H.R (Author), Suratman, M.N (Author), Tarmidi Z. (Author)
Format:	Article
Language:	English
Published:	Institute of Physics Publishing, 2020
Subjects:	Anthropogenic activity Carbon Carbon Stocks Decision making Diameter-at-breast heights Ecosystems Forestry Landsat 8 (OLI) Least square approach Mangroves Mean square error Modelling Multiple regression techniques Normalized difference vegetation index Operational land imager Predictive analytics Remote sensing Remote Sensing Remote sensing technology Root mean squared errors Tropics
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by Bakar, AN, Hashim, TMZT, Jaafar, J, Singh, HR, Suratman, MN
Published 2020

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Predictive Model of Mangroves Carbon Stocks in Kedah, Malaysia using Remote Sensing

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