Modelling of Stand Volume of Eucalyptus Plantations using WorldView-2 Imagery in Sabah, Malaysia

Eucalyptus is one of forest plantation species established to provide sustainable timber supply for meeting market demands and mitigating climate change. However, managing an extensive area can be labour intensive and time consuming. Thus, remote sensing technology is utilised as it could provide es...

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發表在:ASM Science Journal
主要作者: 2-s2.0-85108868360
格式: Article
語言:English
出版: Akademi Sains Malaysia 2021
在線閱讀:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108868360&partnerID=40&md5=30f5253c7e9f0754299a5ec4387dd1e0
id Mohsin A.F.; Suratman M.N.; Zakaria S.A.K.Y.
spelling Mohsin A.F.; Suratman M.N.; Zakaria S.A.K.Y.
2-s2.0-85108868360
Modelling of Stand Volume of Eucalyptus Plantations using WorldView-2 Imagery in Sabah, Malaysia
2021
ASM Science Journal
14


https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108868360&partnerID=40&md5=30f5253c7e9f0754299a5ec4387dd1e0
Eucalyptus is one of forest plantation species established to provide sustainable timber supply for meeting market demands and mitigating climate change. However, managing an extensive area can be labour intensive and time consuming. Thus, remote sensing technology is utilised as it could provide estimates of forest parameters. Therefore, a study on the relationship between spectral radiance and indices derived from WorldView-2 imagery and stand volume of two Eucalyptus species in Sabah, Malaysia was conducted. From the study, predictive models for estimating stand volume of Eucalyptus plantations were developed. Field inventory and data analysis were conducted to provide ground data for Eucalyptus grandis and E. pellita. Randomly selected quadrat plots measuring at 30 m × 30 m were established. Within each plot, diameter at breast height (DBH in cm), total height (m), crown width (cm) and crown closure (%) were recorded. Satellite imageries from WorldView-2 were acquired as primary data. The spectral bands were extracted and several published indices were used as predictor variable candidates. Published allometric function developed for this species was used to estimate the stand volume. The best predictive model for estimating stand volume of Eucalyptus plantations was (Formula presented) = [ – 3.77 + 1435.76((formula-presented)1) + 355.98((formula-presented)3)– 484.26((formula-presented)6)– 6.64 ((formula-presented))]. This analysis is expected to provide crucial insights into the ecosystem functions of forest plantations in sequestering carbon. © **. All Rights Reserved.
Akademi Sains Malaysia
18236782
English
Article

author 2-s2.0-85108868360
spellingShingle 2-s2.0-85108868360
Modelling of Stand Volume of Eucalyptus Plantations using WorldView-2 Imagery in Sabah, Malaysia
author_facet 2-s2.0-85108868360
author_sort 2-s2.0-85108868360
title Modelling of Stand Volume of Eucalyptus Plantations using WorldView-2 Imagery in Sabah, Malaysia
title_short Modelling of Stand Volume of Eucalyptus Plantations using WorldView-2 Imagery in Sabah, Malaysia
title_full Modelling of Stand Volume of Eucalyptus Plantations using WorldView-2 Imagery in Sabah, Malaysia
title_fullStr Modelling of Stand Volume of Eucalyptus Plantations using WorldView-2 Imagery in Sabah, Malaysia
title_full_unstemmed Modelling of Stand Volume of Eucalyptus Plantations using WorldView-2 Imagery in Sabah, Malaysia
title_sort Modelling of Stand Volume of Eucalyptus Plantations using WorldView-2 Imagery in Sabah, Malaysia
publishDate 2021
container_title ASM Science Journal
container_volume 14
container_issue
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108868360&partnerID=40&md5=30f5253c7e9f0754299a5ec4387dd1e0
description Eucalyptus is one of forest plantation species established to provide sustainable timber supply for meeting market demands and mitigating climate change. However, managing an extensive area can be labour intensive and time consuming. Thus, remote sensing technology is utilised as it could provide estimates of forest parameters. Therefore, a study on the relationship between spectral radiance and indices derived from WorldView-2 imagery and stand volume of two Eucalyptus species in Sabah, Malaysia was conducted. From the study, predictive models for estimating stand volume of Eucalyptus plantations were developed. Field inventory and data analysis were conducted to provide ground data for Eucalyptus grandis and E. pellita. Randomly selected quadrat plots measuring at 30 m × 30 m were established. Within each plot, diameter at breast height (DBH in cm), total height (m), crown width (cm) and crown closure (%) were recorded. Satellite imageries from WorldView-2 were acquired as primary data. The spectral bands were extracted and several published indices were used as predictor variable candidates. Published allometric function developed for this species was used to estimate the stand volume. The best predictive model for estimating stand volume of Eucalyptus plantations was (Formula presented) = [ – 3.77 + 1435.76((formula-presented)1) + 355.98((formula-presented)3)– 484.26((formula-presented)6)– 6.64 ((formula-presented))]. This analysis is expected to provide crucial insights into the ecosystem functions of forest plantations in sequestering carbon. © **. All Rights Reserved.
publisher Akademi Sains Malaysia
issn 18236782
language English
format Article
accesstype
record_format scopus
collection Scopus
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