Mangrove carbon stock assessment by optical satellite imagery

Hamdan, O., Khairunnisa, M. R., Ammar, A. A., Mohd Hasmadi, I. and Khali Aziz, H. (2013) Mangrove carbon stock assessment by optical satellite imagery. Journal of Tropical Forest Science, 25 4: 554-565.

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Name Description MIMEType Size Downloads
Author Hamdan, O.
Khairunnisa, M. R.
Ammar, A. A.
Mohd Hasmadi, I.
Khali Aziz, H.
Title Mangrove carbon stock assessment by optical satellite imagery
Journal name Journal of Tropical Forest Science   Check publisher's open access policy
ISSN 0128-1283
Publication date 2013
Sub-type Article (original research)
Volume 25
Issue 4
Start page 554
End page 565
Total pages 12
Place of publication Selangor Darul Ehsan, Malaysia
Publisher Forest Research Institute Malaysia / Institut Penyelidikan Perhutanan Malaysia
Collection year 2014
Language eng
Abstract Matang Mangrove Forest Reserve or known as Matang Mangroves is the largest single mangroves in Peninsular Malaysia. Covering an area of about 41,000 ha, majority of this area is forest reserve. Mangroves have long been known as extremely productive ecosystem that cycle carbon (C) rapidly, but studies related to carbon in this ecosystem are limited. This study was carried out to assess the carbon stock and quantify their changes following deforestation, wood extraction and forest degradation. Landsat-TM and SPOT-5 satellite images for 1991 and 2011 respectively were utilised to identify mangroves. Vegetation index generated from the images was used as a variable to indicate carbon stock and it was correlated to forest inventory information through regression. The study showed that carbon stocks of Matang Mangroves ranged from 1.03 to 263.65 t C ha-1 and 1.01 to 259.68 t C ha-1 for the years 1991 and 2011 respectively. Total carbon stock in Matang Mangroves was estimated at about 3.04 mil t C in year 1991 and 2.15 mil t C in 2011. The study suggested that the traditional use of vegetation index from optical imagery systems is still relevant and viable in vegetative studies.
Keyword Aboveground carbon
Vegetation index
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
Official 2014 Collection
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
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