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Estimation of above ground forest biomass in Ulu Padas area, Sabah using IKONOS-2 image

Quantifying biomass loss and carbon emission from deforestation and degradation in developing countries is important to combat climate change. We developed allometric models from an IKONOS-2 image to predict DBH that leads to aboveground biomass estimation (AGB) for primary and degraded forests. The...

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Main Author: Ling, Zia Yiing
Format: Thesis
Language:English
English
Published: 2014
Subjects:
SD1-669.5 Forestry
Online Access:https://eprints.ums.edu.my/id/eprint/42805/1/24%20PAGES.pdf
https://eprints.ums.edu.my/id/eprint/42805/2/FULLTEXT.pdf
https://eprints.ums.edu.my/id/eprint/42805/
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spelling my.ums.eprints.428052025-02-14T01:57:25Z https://eprints.ums.edu.my/id/eprint/42805/ Estimation of above ground forest biomass in Ulu Padas area, Sabah using IKONOS-2 image Ling, Zia Yiing SD1-669.5 Forestry Quantifying biomass loss and carbon emission from deforestation and degradation in developing countries is important to combat climate change. We developed allometric models from an IKONOS-2 image to predict DBH that leads to aboveground biomass estimation (AGB) for primary and degraded forests. The IKONOS image was preprocessed with dark object subtraction and topographic effect correction prior to segmentation using the watershed method. Overall, the segmentation was 64% accurate. Crown detection percent was negatively influenced by tree density. Correlation analysis showed that satellite-based crown area had the highest correlations with DBH for primary and degraded forests. We developed the DBH estimation allometric equations for primary and degraded forests. The DBH estimation models explained 76% and 66% of the variances for primary and degraded forests, respectively. Averagely, the predicted DBH was almost identical to the observed DBH for intact forest and was slightly different for degraded forest. The estimated AGB was also very similar to the observed AGB for both forest types. Overall, this method can potentially be applied to estimate AGB over a relatively large and remote tropical forest in Northern Borneo. 2014 Thesis NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/42805/1/24%20PAGES.pdf text en https://eprints.ums.edu.my/id/eprint/42805/2/FULLTEXT.pdf Ling, Zia Yiing (2014) Estimation of above ground forest biomass in Ulu Padas area, Sabah using IKONOS-2 image. Masters thesis, Universiti Malaysia Sabah.
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic SD1-669.5 Forestry
spellingShingle SD1-669.5 Forestry
Ling, Zia Yiing
Estimation of above ground forest biomass in Ulu Padas area, Sabah using IKONOS-2 image
description Quantifying biomass loss and carbon emission from deforestation and degradation in developing countries is important to combat climate change. We developed allometric models from an IKONOS-2 image to predict DBH that leads to aboveground biomass estimation (AGB) for primary and degraded forests. The IKONOS image was preprocessed with dark object subtraction and topographic effect correction prior to segmentation using the watershed method. Overall, the segmentation was 64% accurate. Crown detection percent was negatively influenced by tree density. Correlation analysis showed that satellite-based crown area had the highest correlations with DBH for primary and degraded forests. We developed the DBH estimation allometric equations for primary and degraded forests. The DBH estimation models explained 76% and 66% of the variances for primary and degraded forests, respectively. Averagely, the predicted DBH was almost identical to the observed DBH for intact forest and was slightly different for degraded forest. The estimated AGB was also very similar to the observed AGB for both forest types. Overall, this method can potentially be applied to estimate AGB over a relatively large and remote tropical forest in Northern Borneo.
format Thesis
author Ling, Zia Yiing
author_facet Ling, Zia Yiing
author_sort Ling, Zia Yiing
title Estimation of above ground forest biomass in Ulu Padas area, Sabah using IKONOS-2 image
title_short Estimation of above ground forest biomass in Ulu Padas area, Sabah using IKONOS-2 image
title_full Estimation of above ground forest biomass in Ulu Padas area, Sabah using IKONOS-2 image
title_fullStr Estimation of above ground forest biomass in Ulu Padas area, Sabah using IKONOS-2 image
title_full_unstemmed Estimation of above ground forest biomass in Ulu Padas area, Sabah using IKONOS-2 image
title_sort estimation of above ground forest biomass in ulu padas area, sabah using ikonos-2 image
publishDate 2014
url https://eprints.ums.edu.my/id/eprint/42805/1/24%20PAGES.pdf
https://eprints.ums.edu.my/id/eprint/42805/2/FULLTEXT.pdf
https://eprints.ums.edu.my/id/eprint/42805/
_version_ 1825161823600508928
score 13.244413

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