Assessing the potential applications of Landsat image archive in the ecological monitoring and management of a production mangrove forest in Malaysia

Abdul Aziz, Ammar, Phinn, Stuart, Dargusch, Paul, Omar, Hamdan and Arjasakusuma, Sanjiwana (2015) Assessing the potential applications of Landsat image archive in the ecological monitoring and management of a production mangrove forest in Malaysia. Wetlands Ecology and Management, 23 6: 1049-1066. doi:10.1007/s11273-015-9443-1


Author Abdul Aziz, Ammar
Phinn, Stuart
Dargusch, Paul
Omar, Hamdan
Arjasakusuma, Sanjiwana
Title Assessing the potential applications of Landsat image archive in the ecological monitoring and management of a production mangrove forest in Malaysia
Journal name Wetlands Ecology and Management   Check publisher's open access policy
ISSN 1572-9834
0923-4861
Publication date 2015-12-01
Year available 2015
Sub-type Article (original research)
DOI 10.1007/s11273-015-9443-1
Open Access Status Not Open Access
Volume 23
Issue 6
Start page 1049
End page 1066
Total pages 18
Place of publication Dordrecht, Netherlands
Publisher Springer Netherlands
Collection year 2016
Language eng
Abstract This paper explores the suitability of remotely sensed data obtained from Landsat imaging sensors, in combination with ancillary forest inventory data, for the ecological monitoring and management of a production mangrove forest in Malaysia. An assessment is presented on the capabilities and limitations of utilizing Landsat Thematic Mapper data for mapping mangrove species and stand age structure in the Matang Mangrove Forest Reserve. The cloud-free subset satellite images used in this study were acquired in May 1988, February 1995, December 1999, March 2001, December 2009 and November 2013. The December 1999 Landsat 7 ETM+ image was used for the error and accuracy assessment because it coincided with the year the reference map was produced. The image classification process included both pixel-based and object-based approaches conducted on a combination of software which included ENVI, ArcGIS 10.1 and eCognition. Results revealed that the pixel-based approach was not effective in delineating species and stand age structure due to the presence of the ‘salt and pepper effect’ in the image output. The object-based approach accurately delineated between commercial and non-commercial mangrove species. It also produced a reliable and accurate stand-age structure map based on three designated classes: clear-felled areas; young mangrove forest (less than 13 years old); and mature mangrove forest (13 years or older). The analysis highlights that the mapping and analysis of mangrove species and stand age structure with Landsat Thematic Mapper image datasets can play a useful role in achieving cost-efficient and ecologically sustainable outcomes in a production mangrove forest.
Keyword Landsat
Species delineation
Stand age delineation
Object based image analysis
Matang mangrove forest reserve
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 2016 Collection
 
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