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Article

An Analysis of the Early Regeneration of Mangrove Forests using Landsat Time Series in the Matang Mangrove Forest Reserve, Peninsular Malaysia

1
Systems Ecology and Resource Management Laboratory, Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium
2
Vlaamse Instelling Voor Technologisch Onderzoek (VITO) Research Organisation, 2400 Mol, Belgium
3
Mangrove Research Unit, Institute of Oceanography and Environment, Universiti Malaysia Terengganu (UMT), 21030 Kuala Terengganu, Malaysia
4
Earth Observation and Ecosystem Dynamics Research Group, Aberystwyth University, Aberystwyth SY23 3DB, UK
5
School of Biological, Earth and Environmental Sciences, University of New South Wales (UNSW), Sydney 2052, Australia
6
Laboratory of Plant Biology and Nature Management, Vrije Universiteit Brussel (VUB), 1050 Brussels, Belgium
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Remote Sens. 2019, 11(7), 774; https://doi.org/10.3390/rs11070774
Received: 26 February 2019 / Revised: 19 March 2019 / Accepted: 26 March 2019 / Published: 31 March 2019
(This article belongs to the Special Issue Remote Sensing of Mangroves)
Time series of satellite sensor data have been used to quantify mangrove cover changes at regional and global levels. Although mangrove forests have been monitored using remote sensing techniques, the use of time series to quantify the regeneration of these forests still remains limited. In this study, we focus on the Matang Mangrove Forest Reserve (MMFR) located in Peninsular Malaysia, which has been under silvicultural management since 1902 and provided the opportunity to investigate the use of Landsat annual time series (1988–2015) for (i) detecting clear-felling events that take place in the reserve as part of the local management, and (ii) tracing back and quantifying the early regeneration of mangrove forest patches after clear-felling. Clear-felling events were detected for each year using the Normalized Difference Moisture Index (NDMI) derived from single date (cloud-free) or multi-date composites of Landsat sensor data. From this series, we found that the average period for the NDMI to recover to values observed prior to the clear-felling event between 1988 and 2015 was 5.9 ± 2.7 years. The maps created in this study can be used to guide the replantation strategies, the clear-felling planning, and the management and monitoring activities of the MMFR. View Full-Text
Keywords: regeneration; silviculture; mangroves; Landsat; time series; NDMI; clear-felling regeneration; silviculture; mangroves; Landsat; time series; NDMI; clear-felling
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MDPI and ACS Style

Otero, V.; Van De Kerchove, R.; Satyanarayana, B.; Mohd-Lokman, H.; Lucas, R.; Dahdouh-Guebas, F. An Analysis of the Early Regeneration of Mangrove Forests using Landsat Time Series in the Matang Mangrove Forest Reserve, Peninsular Malaysia. Remote Sens. 2019, 11, 774. https://doi.org/10.3390/rs11070774

AMA Style

Otero V, Van De Kerchove R, Satyanarayana B, Mohd-Lokman H, Lucas R, Dahdouh-Guebas F. An Analysis of the Early Regeneration of Mangrove Forests using Landsat Time Series in the Matang Mangrove Forest Reserve, Peninsular Malaysia. Remote Sensing. 2019; 11(7):774. https://doi.org/10.3390/rs11070774

Chicago/Turabian Style

Otero, Viviana; Van De Kerchove, Ruben; Satyanarayana, Behara; Mohd-Lokman, Husain; Lucas, Richard; Dahdouh-Guebas, Farid. 2019. "An Analysis of the Early Regeneration of Mangrove Forests using Landsat Time Series in the Matang Mangrove Forest Reserve, Peninsular Malaysia" Remote Sens. 11, no. 7: 774. https://doi.org/10.3390/rs11070774

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