Alos l-band sar parameterization analysis for hevea brasiliensis aboveground biomass estimation and modelling / Rosnaini Che Hasan

Biomass is an important element in monitoring and management of climate change mitigation. There have many methods to estimate aboveground biomass of vegetation including destructive sampling and remote sensing methods. Destructive sampling is believed to obtain an accurate result of aboveground bio...

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Main Author:	Che Hasan, Rosnaini
Format:	Thesis
Language:	English
Published:	2020
Subjects:	SB Plant culture Field crops
Online Access:	https://ir.uitm.edu.my/id/eprint/53837/1/53837.pdf
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id	my-uitm-ir.53837
record_format	uketd_dc
spelling	my-uitm-ir.538372022-03-25T03:20:02Z Alos l-band sar parameterization analysis for hevea brasiliensis aboveground biomass estimation and modelling / Rosnaini Che Hasan 2020-12 Che Hasan, Rosnaini SB Plant culture Field crops Biomass is an important element in monitoring and management of climate change mitigation. There have many methods to estimate aboveground biomass of vegetation including destructive sampling and remote sensing methods. Destructive sampling is believed to obtain an accurate result of aboveground biomass but it suits for small area, tedious work, more cost and man power needed. Thus, microwave remote sensing is a remote sensing technology that penetrate the radar signal to earth surface and record the total amount of energy to the sensor and this technology has a potential to estimate aboveground biomass (AGB) and carbon stock of rubber tree plantations. The limitation of optical data has led the researcher to investigate the L-band Synthetic Aperture Radar (SAR) of Horizontal-Horizontal (HH) and Horizontal- Vertical (HV) polarization with AGB of rubber trees. This study was carried out to estimate the total amount of AGB of rubber tree plantations by using ALOS-2 PALSAR remotely sensed data in two rubber estates own by RRIM that are Permatang and Pelepah estates. A total of 80 sampling plots have been established in these rubber estates. The area of both Permatang and Pelepah estates is around 132.8 ha. Backcatter coefficient value was determined using Normalized Radar Cross Section (NRCS) equation and was correlated with field data sampling. The result demonstrated that the backscatter saturate at around AGB of 10 Mg ha-1. Kernel size of 5x5 indicated as an ideal size for filtering process for both HH and HV polarizations images. Brown’s equation represent the most reliable allometric equation for estimating AGB of rubber trees in the study area. By using linear exponential regression (Model 1), AGB can be estimated as AGB (Mg ha-1) =278.6exp(0.073512 HV5x5) with RMSE of ±92.90 and accuracy at 74.53%. AGB also can be estimated by using multivariate regression (Model 2), which can expressed as AGB (Mg ha-1) = 160.8+5.52 HH5x5 + 1.10 HV5x5 with RMSE of ±90.46 and accuracy at 73.39%. The study provided new information about the AGB of rubber trees that is important for the rubber plantation industry in Malaysia. This research can also contribute to the effective monitoring and management in the future. 2020-12 Thesis https://ir.uitm.edu.my/id/eprint/53837/ https://ir.uitm.edu.my/id/eprint/53837/1/53837.pdf text en public phd doctoral Universiti Teknologi MARA Faculty of Architecture, Planning and Surveying Abd Latif, Zulkiflee (Prof. Sr. Dr.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abd Latif, Zulkiflee (Prof. Sr. Dr.)
topic	SB Plant culture Field crops
spellingShingle	SB Plant culture Field crops Che Hasan, Rosnaini Alos l-band sar parameterization analysis for hevea brasiliensis aboveground biomass estimation and modelling / Rosnaini Che Hasan
description	Biomass is an important element in monitoring and management of climate change mitigation. There have many methods to estimate aboveground biomass of vegetation including destructive sampling and remote sensing methods. Destructive sampling is believed to obtain an accurate result of aboveground biomass but it suits for small area, tedious work, more cost and man power needed. Thus, microwave remote sensing is a remote sensing technology that penetrate the radar signal to earth surface and record the total amount of energy to the sensor and this technology has a potential to estimate aboveground biomass (AGB) and carbon stock of rubber tree plantations. The limitation of optical data has led the researcher to investigate the L-band Synthetic Aperture Radar (SAR) of Horizontal-Horizontal (HH) and Horizontal- Vertical (HV) polarization with AGB of rubber trees. This study was carried out to estimate the total amount of AGB of rubber tree plantations by using ALOS-2 PALSAR remotely sensed data in two rubber estates own by RRIM that are Permatang and Pelepah estates. A total of 80 sampling plots have been established in these rubber estates. The area of both Permatang and Pelepah estates is around 132.8 ha. Backcatter coefficient value was determined using Normalized Radar Cross Section (NRCS) equation and was correlated with field data sampling. The result demonstrated that the backscatter saturate at around AGB of 10 Mg ha-1. Kernel size of 5x5 indicated as an ideal size for filtering process for both HH and HV polarizations images. Brown’s equation represent the most reliable allometric equation for estimating AGB of rubber trees in the study area. By using linear exponential regression (Model 1), AGB can be estimated as AGB (Mg ha-1) =278.6exp(0.073512 HV5x5) with RMSE of ±92.90 and accuracy at 74.53%. AGB also can be estimated by using multivariate regression (Model 2), which can expressed as AGB (Mg ha-1) = 160.8+5.52 HH5x5 + 1.10 HV5x5 with RMSE of ±90.46 and accuracy at 73.39%. The study provided new information about the AGB of rubber trees that is important for the rubber plantation industry in Malaysia. This research can also contribute to the effective monitoring and management in the future.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Che Hasan, Rosnaini
author_facet	Che Hasan, Rosnaini
author_sort	Che Hasan, Rosnaini
title	Alos l-band sar parameterization analysis for hevea brasiliensis aboveground biomass estimation and modelling / Rosnaini Che Hasan
title_short	Alos l-band sar parameterization analysis for hevea brasiliensis aboveground biomass estimation and modelling / Rosnaini Che Hasan
title_full	Alos l-band sar parameterization analysis for hevea brasiliensis aboveground biomass estimation and modelling / Rosnaini Che Hasan
title_fullStr	Alos l-band sar parameterization analysis for hevea brasiliensis aboveground biomass estimation and modelling / Rosnaini Che Hasan
title_full_unstemmed	Alos l-band sar parameterization analysis for hevea brasiliensis aboveground biomass estimation and modelling / Rosnaini Che Hasan
title_sort	alos l-band sar parameterization analysis for hevea brasiliensis aboveground biomass estimation and modelling / rosnaini che hasan
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/53837/1/53837.pdf
_version_	1783734880488652800

Alos l-band sar parameterization analysis for hevea brasiliensis aboveground biomass estimation and modelling / Rosnaini Che Hasan

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