Mapping Mangrove Biomass

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A comparison of three techniques to detect changes in mangrove forest areas suggests one gives more reliable results than the other two, and this finding will help researchers better understand growth and loss of this important habitat. The work is published in the latest issue of Pertanika Journal of Science and Technology.

Image of Matang Mangrove forest taken during a field visit in 2009.

Image of Matang Mangrove forest taken during a field visit in 2009.

The experimental results show that local mutual information provides more reliable results

A comparison of three techniques to detect changes in mangrove forest areas suggests one gives more reliable results than the other two, and this finding will help researchers better understand growth and loss of this important habitat. The work is published in the latest issue of Pertanika Journal of Science and Technology.

Mangroves provide protection against typhoon damage, pollutant absorption and water purification, as well as being an important habitat for flora and fauna. The 2004 Asian Tsunami caused dramatic damage, but there are other threats. Remote sensing technologies are evolving quickly and provide tools for monitoring such tropical forests so the team set out to compare three methods.

Image differencing is a simple technique whereby pixels in images are compared and differences highlighted. Normalized Differenced Vegetation Index (NVDI) presents the amount of photosynthesising vegetation and correlates well with green biomass areas. Finally mutual information can be used to compare the similarity of images and has previously been used in detecting landslides.

S. Khairunniza-Bejo and colleagues’ compared four areas of tropical mangrove in the The Matang Mangrove Perak forest from August 2005 and June 2007. The experimental results show that local mutual information provides more reliable results in detecting changes of the multi-temporal images containing different lighting condition compared to the image differencing and NDVI technique, specifically in areas with less plant growth.

For more information about the research, please contact

Dr S. Khairunniza-Bejo (available to speak to journalists on 28th July)
Department of Biological and Agricultural Engineering
Faculty of Engineering
Universiti Putra Malaysia, 43400 Serdang
Selangor Darul Ehsan, Malaysia
EMAIL: skbejo(at)eng(dot)upm(dot)edu(dot)my
TELEPHONE: +603-8946 4332.
MOBILE: +6013 362 4922.

About the Pertanika Journal of Science and Technology
Pertanika Journal of Science & Technology aims to provide a forum for high quality research related to science and engineering research. Areas relevant to the scope of the journal include: bioinformatics, bioscience, biotechnology and bio-molecular sciences, chemistry, computer science, ecology, engineering, engineering design, environmental control and management, mathematics and statistics, medicine and health sciences, nanotechnology, physics, safety and emergency management, and related fields of study.
Website: http://www.pertanika2.upm.edu.my/jpertanika/index%20-%20JST.htm

For more information about the journal, contact
The Executive Editor
Pertanika Journals
Office of the Deputy Vice Chancellor (R&I)
Tower 2, UPM-MDTC Technology Centre
Universiti Putra Malaysia
43400 Serdang, Selangor
Malaysia.

Phone: + (603) 8947 1622 | + (6) 016 217 4050
Email: ndeeps(at)admin(dot)upm(dot)edu(dot)my

This release is distributed on behalf of Universiti Putra Malaysia by ResearchSEA - Asia Research News (http://www.researchsea.com)

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S. Khairunniza-Bejo

Tommy Wong
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