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L-band ALOS PALSAR for biomass estimation of Matang Mangroves, Malaysia

This study has been carried out to evaluate the relationship between Advanced Land Observing Satellite (ALOS) Phased Array L-band SAR (PALSAR) backscattering coefficients and the aboveground biomass (AGB) of a managed mangrove forest in Malaysia. Matang Mangrove Forest Reserve known as Matang Mangro...

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Main Authors: Omar, Hamdan, Hamzah, Khali Aziz, Ismail, Mohd Hasmadi
Format: Article
Published: Elsevier 2014
Online Access:http://psasir.upm.edu.my/id/eprint/34357/
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spelling my.upm.eprints.343572015-12-10T07:41:02Z http://psasir.upm.edu.my/id/eprint/34357/ L-band ALOS PALSAR for biomass estimation of Matang Mangroves, Malaysia Omar, Hamdan Hamzah, Khali Aziz Ismail, Mohd Hasmadi This study has been carried out to evaluate the relationship between Advanced Land Observing Satellite (ALOS) Phased Array L-band SAR (PALSAR) backscattering coefficients and the aboveground biomass (AGB) of a managed mangrove forest in Malaysia. Matang Mangrove Forest Reserve known as Matang Mangroves was selected as the study area. It covers about 41,000 ha of mangrove forest and is the largest single mangrove ecosystem in Peninsular Malaysia. A mosaic of L-band PALSAR fine beam dual (FBD) with 25 m pixel spacing data for the year 2010 was provided by the Japan Aerospace Exploration Agency’s (JAXA) within the framework of the ALOS Kyoto and Carbon (K&C) Initiative. A total of 320 sampling plots that were collected in 2010 and 2011 were used in the study. The calculated plot-based AGB were correlated to the pixels/backscatter of PALSAR data. The best correlation function (i.e. from HV backscatter) was used to estimate and determine the aboveground biomass of the Matang Mangroves. The study found that the estimated AGB in Matang Mangroves ranged between 2.98 and 378.32 ± 33.90 Mg ha− 1 with an average of 99.40 ± 33.90 Mg ha− 1 and a total AGB of about 4.25 million Mg. The HV backscatter started to saturate at an AGB of 100 Mg ha− 1 and the errors associated with the estimation occurred largely when the AGB exceeded 150 Mg ha− 1. The study also found that the manipulation of polarisation was useful in discriminating succession levels of mangroves. Elsevier 2014-12 Article PeerReviewed Omar, Hamdan and Hamzah, Khali Aziz and Ismail, Mohd Hasmadi (2014) L-band ALOS PALSAR for biomass estimation of Matang Mangroves, Malaysia. Remote Sensing of Environment, 155. pp. 69-78. ISSN 0034-4257; ESSN: 1879-0704 10.1016/j.rse.2014.04.029
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description This study has been carried out to evaluate the relationship between Advanced Land Observing Satellite (ALOS) Phased Array L-band SAR (PALSAR) backscattering coefficients and the aboveground biomass (AGB) of a managed mangrove forest in Malaysia. Matang Mangrove Forest Reserve known as Matang Mangroves was selected as the study area. It covers about 41,000 ha of mangrove forest and is the largest single mangrove ecosystem in Peninsular Malaysia. A mosaic of L-band PALSAR fine beam dual (FBD) with 25 m pixel spacing data for the year 2010 was provided by the Japan Aerospace Exploration Agency’s (JAXA) within the framework of the ALOS Kyoto and Carbon (K&C) Initiative. A total of 320 sampling plots that were collected in 2010 and 2011 were used in the study. The calculated plot-based AGB were correlated to the pixels/backscatter of PALSAR data. The best correlation function (i.e. from HV backscatter) was used to estimate and determine the aboveground biomass of the Matang Mangroves. The study found that the estimated AGB in Matang Mangroves ranged between 2.98 and 378.32 ± 33.90 Mg ha− 1 with an average of 99.40 ± 33.90 Mg ha− 1 and a total AGB of about 4.25 million Mg. The HV backscatter started to saturate at an AGB of 100 Mg ha− 1 and the errors associated with the estimation occurred largely when the AGB exceeded 150 Mg ha− 1. The study also found that the manipulation of polarisation was useful in discriminating succession levels of mangroves.
format Article
author Omar, Hamdan
Hamzah, Khali Aziz
Ismail, Mohd Hasmadi
spellingShingle Omar, Hamdan
Hamzah, Khali Aziz
Ismail, Mohd Hasmadi
L-band ALOS PALSAR for biomass estimation of Matang Mangroves, Malaysia
author_facet Omar, Hamdan
Hamzah, Khali Aziz
Ismail, Mohd Hasmadi
author_sort Omar, Hamdan
title L-band ALOS PALSAR for biomass estimation of Matang Mangroves, Malaysia
title_short L-band ALOS PALSAR for biomass estimation of Matang Mangroves, Malaysia
title_full L-band ALOS PALSAR for biomass estimation of Matang Mangroves, Malaysia
title_fullStr L-band ALOS PALSAR for biomass estimation of Matang Mangroves, Malaysia
title_full_unstemmed L-band ALOS PALSAR for biomass estimation of Matang Mangroves, Malaysia
title_sort l-band alos palsar for biomass estimation of matang mangroves, malaysia
publisher Elsevier
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/34357/
_version_ 1643831129421119488
score 13.211869

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