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Monitoring Matang's mangroves in peninsular Malaysia through earth observations: a globally relevant approach
Lucas, R.; Otero, V.; Van De Kerchove, R.; Lagomasino, D.; Satyanarayana, B.; Fatoyinbo, T.; Dahdouh-Guebas, F. (2021). Monitoring Matang's mangroves in peninsular Malaysia through earth observations: a globally relevant approach. Land Degradation & Development 32(1): 354-373. https://hdl.handle.net/10.1002/ldr.3652
In: Land Degradation & Development. Wiley: Chichester. ISSN 1085-3278; e-ISSN 1099-145X, more
Peer reviewed article  

Available in  Authors 

Author keywords
    classification; management; mangroves; monitoring; remote sensing

Authors  Top 
  • Lucas, R.
  • Otero, V., more
  • Van De Kerchove, R., more
  • Lagomasino, D.
  • Satyanarayana, B., more
  • Fatoyinbo, T.
  • Dahdouh-Guebas, F., more

Abstract
    Expansion of rotational timber harvesting of mangroves is set to increase, particularly given greater recognition of the economic, societal and environmental benefits. Generic and standardized procedures for monitoring mangroves are, therefore, needed to ensure their long-term sustainable utilisation. Focusing on the Matang Mangrove Forest Reserve (MMFR), Perak State, Peninsular Malaysia, thematic and continuous environmental descriptors with defined codes or units, including lifeform, forest age (years), canopy cover (%), above-ground biomass (Mg ha(-1)) and relative amounts of woody debris (%), were retrieved from time-series data from spaceborne optical and single/dual polarimetric and interferometric RADAR. These were then combined for multiple points in time to generate land cover and evidence-based change maps according to the Food and Agriculture Organisation (FAO) Land Cover Classification System (LCCS) and using the framework of the Earth Observation Data for Ecosystem Monitoring (EODESM). Change maps were based on a pre-defined taxonomy, with focus on clear cutting and regrowth. Uncertainties surrounding the land cover and change maps were based on those determined for the environmental descriptors used for their generation and through comparison with independent retrieval from other EO data sources. For the MMFR and also for other mangroves worldwide where harvesting is occurring or being considered, a new approach and opportunity for supporting management of mangroves is presented, which has application for future planning of mangrove resources.

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