Tree Stump Height Estimation Using Canopy Height Model at Tropical Forest in Ulu Jelai Forest Reserve, Pahang, Malaysia

Assessing tree biomass is essential for observing carbon stock and forest biodiversity which are an important indicator in climate change monitoring. The most accurate assessment involved ground data collection, including its data processing. In certain condition, it is extremely challenging, due to...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2020-07, Vol.540 (1), p.12015
Main Authors: Maizah Saad, Siti Nor, Abdul Maulud, Khairul Nizam, Mohd Jaafar, Wan Shafrina Wan, Muhmad Kamarulzaman, Aisyah Marliza, Omar, Hamdan
Format: Article
Language:English
Subjects:
Biodiversity
Biomass
Canopies
Climate change
Climate change monitoring
Data collection
Data processing
Logging
Remote sensing
Timber
Tropical forests
Unmanned aerial vehicles
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Summary:Assessing tree biomass is essential for observing carbon stock and forest biodiversity which are an important indicator in climate change monitoring. The most accurate assessment involved ground data collection, including its data processing. In certain condition, it is extremely challenging, due to the difficulties of accessing dense forest and variation of terrain, tedious and time-consuming. Therefore, due to these limitations, remote sensing might become a better approach in measuring this information. The focus of this study is to estimate the tree stump height for biomass estimation after selective logging practices. In this study, we utilize remotely sensed canopy height model (CHM) derived from Unmanned Aerial Vehicle (UAV) to quantify tree stump height after felling logs at a local scale. This study aims to investigate the feasibility of utilizing UAV imagery to derive a canopy height model (CHM) for preparing parameters in assessing timber tree biomass. CHM is the reference surface to derive statistics that will be used to estimate the forest variables. Data was obtained through UAV which flown at the logging compartment in Ulu Jelai Forest Reserve, Pahang, Malaysia. The estimated stump height obtained from this technique was compared with a measured stump on the ground. Based on scatterplot regression, it showed a significant relationship with a strong coefficient, R2 of 0.8368. At this stage of the study, the performance of the result was not assessed since it is an only preliminary result and the study only focused on producing CHM for stump height estimation using the UAV platform only.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/540/1/012015