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

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

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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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