Variations in mangrove regeneration rates under different management plans: An analysis of Landsat time-series in the Matang Mangrove Forest Reserve, Peninsular Malaysia

Viviana Otero, Columba Martínez-Espinosa, Farid Dahdouh-Guebas, Ruben Van De Kerchove, Behara Satyanarayana, Richard Lucas

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

2 Citations (Scopus)

Abstract

The Matang Mangrove Forest Reserve (MMFR) has been under silvicultural management using a 30-year rotation cycle since 1902. Whereas two artificial thinnings in 15 and 20-year-old stands yield mangrove poles, the clear-felled greenwood from 30-year-old stands is used for charcoal production. Although the reserve appears to be (economically) sustainable in terms of wood production, there is insufficient information on mangrove regeneration and growth dynamics within the MMFR to confirm this. In the present study, we investigate changes in mangrove regeneration rates after clear-felling by analysing a Landsat time-series (1986–2016) using the BFAST algorithm. We created an image-stack from 1986 to 2016 and calculated different vegetation indices (e.g. NDVI) for each image. Based on the vegetation indices, we could identify the clear-felling activities and observe different trends in the mangrove regeneration rate. We will further analyse the time series using the trend and seasonal components of the BFAST algorithm.
Original languageEnglish
Title of host publication2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images
Subtitle of host publicationMultiTemp
PublisherIEEE Press
Number of pages3
ISBN (Electronic)9781538633281
ISBN (Print)9781538633274
DOIs
Publication statusPublished - 14 Sept 2017
Externally publishedYes
Event2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images - Bruges, Belgium
Duration: 27 Jun 201729 Jun 2017
Conference number: 9
https://www.aconf.org/conf_111314.html

Workshop

Workshop2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images
Abbreviated titleMultiTemp
Country/TerritoryBelgium
CityBruges
Period27 Jun 201729 Jun 2017
Internet address

Fingerprint

Dive into the research topics of 'Variations in mangrove regeneration rates under different management plans: An analysis of Landsat time-series in the Matang Mangrove Forest Reserve, Peninsular Malaysia'. Together they form a unique fingerprint.

Cite this