Carbon sequestration model of tropical rainforest ecosystem using satellite remote sensing data

Various measurements methods have been used to determine the validity of the information produced for carbon sequestration especially in tropical rainforests. Generally, these methods can be divided into two major categories which are the micrometeorological and biometric approaches. The former uses...

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Main Author:	Rasib, Abd. Wahid
Format:	Thesis
Language:	English
Published:	2014
Subjects:	G70.39-70.6 Remote sensing
Online Access:	http://eprints.utm.my/id/eprint/77617/1/AbdWahidRasibPFGHT2014.pdf
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spelling	my-utm-ep.776172018-06-25T08:57:31Z Carbon sequestration model of tropical rainforest ecosystem using satellite remote sensing data 2014-12 Rasib, Abd. Wahid G70.39-70.6 Remote sensing Various measurements methods have been used to determine the validity of the information produced for carbon sequestration especially in tropical rainforests. Generally, these methods can be divided into two major categories which are the micrometeorological and biometric approaches. The former uses remote sensing and tower flux and the latter refers to field direct measurement of biomass. Presently, use of a single measurement approach has sometimes caused uncertainty in the accuracy of carbon sequestration in terms of the source or sink of carbon in these forests. Thus, this study proposed and developed a new model for carbon sequestration generated from the integration of remote sensing and biometric approach. This study was carried out in Pasoh Forest Reserve and the model was used for up-scaling to estimate the carbon concentration of the entire forest. Data for remote sensing were obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data and the biometric approach was based on tree census and litterfall observations. The results for the years 2000 until 2009 based on the new model showed that the carbon sequestration was a carbon source with increments ranging between -1.421 t ha-1yr-1 to -16.573 t ha-1yr-1, a mean value of -8.526 t ha-1yr-1 and Root Mean Square Error (RMSE) 2.916. The use of the new model revealed that there is a 6% accuracy improvement in the results as compared to a single-based remote sensing model. As a conclusion, the integration of approaches for a new model for carbon sequestration is more efficient than the use of a single approach. Furthermore, the new model is suitable for validating and calibrating global automatic climate products. 2014-12 Thesis http://eprints.utm.my/id/eprint/77617/ http://eprints.utm.my/id/eprint/77617/1/AbdWahidRasibPFGHT2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:98587 phd doctoral Universiti Teknologi Malaysia, Faculty of Geoinformation and real estate Faculty of Geoinformation and real estate
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G70.39-70.6 Remote sensing
spellingShingle	G70.39-70.6 Remote sensing Rasib, Abd. Wahid Carbon sequestration model of tropical rainforest ecosystem using satellite remote sensing data
description	Various measurements methods have been used to determine the validity of the information produced for carbon sequestration especially in tropical rainforests. Generally, these methods can be divided into two major categories which are the micrometeorological and biometric approaches. The former uses remote sensing and tower flux and the latter refers to field direct measurement of biomass. Presently, use of a single measurement approach has sometimes caused uncertainty in the accuracy of carbon sequestration in terms of the source or sink of carbon in these forests. Thus, this study proposed and developed a new model for carbon sequestration generated from the integration of remote sensing and biometric approach. This study was carried out in Pasoh Forest Reserve and the model was used for up-scaling to estimate the carbon concentration of the entire forest. Data for remote sensing were obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data and the biometric approach was based on tree census and litterfall observations. The results for the years 2000 until 2009 based on the new model showed that the carbon sequestration was a carbon source with increments ranging between -1.421 t ha-1yr-1 to -16.573 t ha-1yr-1, a mean value of -8.526 t ha-1yr-1 and Root Mean Square Error (RMSE) 2.916. The use of the new model revealed that there is a 6% accuracy improvement in the results as compared to a single-based remote sensing model. As a conclusion, the integration of approaches for a new model for carbon sequestration is more efficient than the use of a single approach. Furthermore, the new model is suitable for validating and calibrating global automatic climate products.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Rasib, Abd. Wahid
author_facet	Rasib, Abd. Wahid
author_sort	Rasib, Abd. Wahid
title	Carbon sequestration model of tropical rainforest ecosystem using satellite remote sensing data
title_short	Carbon sequestration model of tropical rainforest ecosystem using satellite remote sensing data
title_full	Carbon sequestration model of tropical rainforest ecosystem using satellite remote sensing data
title_fullStr	Carbon sequestration model of tropical rainforest ecosystem using satellite remote sensing data
title_full_unstemmed	Carbon sequestration model of tropical rainforest ecosystem using satellite remote sensing data
title_sort	carbon sequestration model of tropical rainforest ecosystem using satellite remote sensing data
granting_institution	Universiti Teknologi Malaysia, Faculty of Geoinformation and real estate
granting_department	Faculty of Geoinformation and real estate
publishDate	2014
url	http://eprints.utm.my/id/eprint/77617/1/AbdWahidRasibPFGHT2014.pdf
_version_	1747817791023480832

Carbon sequestration model of tropical rainforest ecosystem using satellite remote sensing data

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