Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using Landsat Thematic Mapper in Malaysia / Nazlin Asari

Oil palm (Elaeis guineensis) plantations play important roles in the economics and sources of income to Malaysia. Accurate and reliable information on forecasts of resource availability and contribution of oil palm plantations on global carbon cycle are needed for its management efforts and planning...

Full description

Saved in:

Bibliographic Details
Main Author:	Asari, Nazlin
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Remote Sensing QK Botany
Online Access:	https://ir.uitm.edu.my/id/eprint/90955/1/90955.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.90955
record_format	uketd_dc
spelling	my-uitm-ir.909552024-03-11T03:28:31Z Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using Landsat Thematic Mapper in Malaysia / Nazlin Asari 2017 Asari, Nazlin Remote Sensing QK Botany Oil palm (Elaeis guineensis) plantations play important roles in the economics and sources of income to Malaysia. Accurate and reliable information on forecasts of resource availability and contribution of oil palm plantations on global carbon cycle are needed for its management efforts and planning. The need for effective inventories and monitoring methods has prompted this research into supplementing the ground field survey with the information from satellite remote sensing for developing methods for oil palm plantation inventory. For monitoring purposes, the effective procedures were developed using three dates of Landsat Thematic Mapper (TM) imagery. Field-measured above ground biomass (AGB), stand volume and carbon stocks values from 230.8 ha of oil palm plantations were compared with individual Landsat TM bands and nine vegetation indices. The potential models selected were obtained using stepwise and backward elimination method where R2, adjusted R2, Standard Error of Estimate (SEE), Root Mean Squared Error (RMSE) and Cp were examined in model development and validation. 2017 Thesis https://ir.uitm.edu.my/id/eprint/90955/ https://ir.uitm.edu.my/id/eprint/90955/1/90955.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) Faculty of Applied Sciences Suratman, Mohd Nazip
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Suratman, Mohd Nazip
topic	Remote Sensing QK Botany
spellingShingle	Remote Sensing QK Botany Asari, Nazlin Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using Landsat Thematic Mapper in Malaysia / Nazlin Asari
description	Oil palm (Elaeis guineensis) plantations play important roles in the economics and sources of income to Malaysia. Accurate and reliable information on forecasts of resource availability and contribution of oil palm plantations on global carbon cycle are needed for its management efforts and planning. The need for effective inventories and monitoring methods has prompted this research into supplementing the ground field survey with the information from satellite remote sensing for developing methods for oil palm plantation inventory. For monitoring purposes, the effective procedures were developed using three dates of Landsat Thematic Mapper (TM) imagery. Field-measured above ground biomass (AGB), stand volume and carbon stocks values from 230.8 ha of oil palm plantations were compared with individual Landsat TM bands and nine vegetation indices. The potential models selected were obtained using stepwise and backward elimination method where R2, adjusted R2, Standard Error of Estimate (SEE), Root Mean Squared Error (RMSE) and Cp were examined in model development and validation.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Asari, Nazlin
author_facet	Asari, Nazlin
author_sort	Asari, Nazlin
title	Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using Landsat Thematic Mapper in Malaysia / Nazlin Asari
title_short	Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using Landsat Thematic Mapper in Malaysia / Nazlin Asari
title_full	Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using Landsat Thematic Mapper in Malaysia / Nazlin Asari
title_fullStr	Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using Landsat Thematic Mapper in Malaysia / Nazlin Asari
title_full_unstemmed	Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using Landsat Thematic Mapper in Malaysia / Nazlin Asari
title_sort	modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (elaeis guineensis) plantations using landsat thematic mapper in malaysia / nazlin asari
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Applied Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/90955/1/90955.pdf
_version_	1794192249129533440

Modelling and monitoring of stand volume, above ground biomass and carbon stocks of oil palm (Elaeis guineensis) plantations using Landsat Thematic Mapper in Malaysia / Nazlin Asari

Similar Items