Estimation of above-ground biomass of oil palm trees using phased array L-band synthetic aperture radar data

Quantification of Above Ground Biomass (AGB) over oil palm plantation is essential for a wide range of modern day research and management demands. Spatial distribution information of oil palm plantation AGB is therefore important for the palm oil industry. In this study, the oil palm plantation in P...

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Main Author:	Shashikant, Veena
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Plant biomass Oil palm
Online Access:	http://psasir.upm.edu.my/id/eprint/70253/1/FK%202014%20174%20IR.pdf
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id	my-upm-ir.70253
record_format	uketd_dc
spelling	my-upm-ir.702532019-10-31T03:00:36Z Estimation of above-ground biomass of oil palm trees using phased array L-band synthetic aperture radar data 2014-01 Shashikant, Veena Quantification of Above Ground Biomass (AGB) over oil palm plantation is essential for a wide range of modern day research and management demands. Spatial distribution information of oil palm plantation AGB is therefore important for the palm oil industry. In this study, the oil palm plantation in Perak, Malaysia was assessed to obtain the AGB information. Lack of biomass information due to the uncertainties and cost has limited its determination and changes over the years. Hence, this research studies the quantification of AGB of oil palm plantation. In a tropical country such as Malaysia, cloud covers are hindrance to visible light sensing. For that reason, all types of Synthetic Aperture Radar (such as Phased Array type L-band Synthetic Aperture Radar (PALSAR)) sensor is an added advantage to overcome the cloud problem to analyze the biomass of the oil palm plantation. Ground data of oil palm biomass for age of 6, 8, 10, and 12 years old are trees compared to the estimated AGB using PALSAR data with all polarizations. Four filters were applied on the PALSAR images and compared among the four window sizes which were 3x3, 5x5, 7x7 and 9x9. The filters used in this study were Gaussian low, Gaussian high, Laplacian and Median filter implemented in PALSAR data with HH, HV, VH and VV polarimetry bands. Speckle suppression index was applied to check the filters’ efficiency and thus selection of model building. A valid model was constructed to show the VV polarization degree of relationship between the field data results and filtered PALSAR data of biomass. The model developed had an R2 value of 0.90, between the VV backscattering against the AGB values. This model was subsequently validated and found to have an accuracy of 85%.This study can be useful to the management of the logging cycle and the volume of the harvested biomass in the felling season in the oil palm plantations. Plant biomass Oil palm 2014-01 Thesis http://psasir.upm.edu.my/id/eprint/70253/ http://psasir.upm.edu.my/id/eprint/70253/1/FK%202014%20174%20IR.pdf text en public doctoral Universiti Putra Malaysia Plant biomass Oil palm
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Plant biomass Oil palm
spellingShingle	Plant biomass Oil palm Shashikant, Veena Estimation of above-ground biomass of oil palm trees using phased array L-band synthetic aperture radar data
description	Quantification of Above Ground Biomass (AGB) over oil palm plantation is essential for a wide range of modern day research and management demands. Spatial distribution information of oil palm plantation AGB is therefore important for the palm oil industry. In this study, the oil palm plantation in Perak, Malaysia was assessed to obtain the AGB information. Lack of biomass information due to the uncertainties and cost has limited its determination and changes over the years. Hence, this research studies the quantification of AGB of oil palm plantation. In a tropical country such as Malaysia, cloud covers are hindrance to visible light sensing. For that reason, all types of Synthetic Aperture Radar (such as Phased Array type L-band Synthetic Aperture Radar (PALSAR)) sensor is an added advantage to overcome the cloud problem to analyze the biomass of the oil palm plantation. Ground data of oil palm biomass for age of 6, 8, 10, and 12 years old are trees compared to the estimated AGB using PALSAR data with all polarizations. Four filters were applied on the PALSAR images and compared among the four window sizes which were 3x3, 5x5, 7x7 and 9x9. The filters used in this study were Gaussian low, Gaussian high, Laplacian and Median filter implemented in PALSAR data with HH, HV, VH and VV polarimetry bands. Speckle suppression index was applied to check the filters’ efficiency and thus selection of model building. A valid model was constructed to show the VV polarization degree of relationship between the field data results and filtered PALSAR data of biomass. The model developed had an R2 value of 0.90, between the VV backscattering against the AGB values. This model was subsequently validated and found to have an accuracy of 85%.This study can be useful to the management of the logging cycle and the volume of the harvested biomass in the felling season in the oil palm plantations.
format	Thesis
qualification_level	Doctorate
author	Shashikant, Veena
author_facet	Shashikant, Veena
author_sort	Shashikant, Veena
title	Estimation of above-ground biomass of oil palm trees using phased array L-band synthetic aperture radar data
title_short	Estimation of above-ground biomass of oil palm trees using phased array L-band synthetic aperture radar data
title_full	Estimation of above-ground biomass of oil palm trees using phased array L-band synthetic aperture radar data
title_fullStr	Estimation of above-ground biomass of oil palm trees using phased array L-band synthetic aperture radar data
title_full_unstemmed	Estimation of above-ground biomass of oil palm trees using phased array L-band synthetic aperture radar data
title_sort	estimation of above-ground biomass of oil palm trees using phased array l-band synthetic aperture radar data
granting_institution	Universiti Putra Malaysia
publishDate	2014
url	http://psasir.upm.edu.my/id/eprint/70253/1/FK%202014%20174%20IR.pdf
_version_	1747812795314864128

Estimation of above-ground biomass of oil palm trees using phased array L-band synthetic aperture radar data

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