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...
الحاوية / القاعدة: | ASM Science Journal |
---|---|
المؤلف الرئيسي: | |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Akademi Sains Malaysia
2021
|
الوصول للمادة أونلاين: | 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 |
_version_ |
1828987871444336640 |