Estimating aboveground biomass of logged forest in Terengganu using lidar and ground based measurement

Also available in printed version

書誌詳細
第一著者: Lina Farhana Ab. Karim
その他の著者: Kasturi Devi Kanniah, supervisor
フォーマット: Bachelor thesis
言語:英語
出版事項: Universiti Teknologi Malaysia 2025
主題:
オンライン・アクセス:https://utmik.utm.my/handle/123456789/55446
Abstract Abstract here
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author Lina Farhana Ab. Karim
author2 Kasturi Devi Kanniah, supervisor
author_facet Kasturi Devi Kanniah, supervisor
Lina Farhana Ab. Karim
author_sort Lina Farhana Ab. Karim
description Also available in printed version
format Bachelor thesis
id utm-123456789-55446
institution Universiti Teknologi Malaysia
language English
publishDate 2025
publisher Universiti Teknologi Malaysia
record_format dspace
record_pdf Abstract
spelling utm-123456789-554462025-08-21T12:05:05Z Estimating aboveground biomass of logged forest in Terengganu using lidar and ground based measurement Lina Farhana Ab. Karim Kasturi Devi Kanniah, supervisor Mechanical engineering Also available in printed version In this study, we estimated the AGB of forest in Puah Dam, Hulu Terengganu, Malaysia. This study area will be raised by water levels for dam construction purposes. Hence, it is necessary to calculate the total AGB and/or carbon stock in this area for an environmental assessment. Since collecting ground data for estimating the AGB of the forest is time consuming, labor intensive and limited to a smaller scale. This study aimed to estimate aboveground biomass from high density point cloud obtained by the airborne Light Detention and Ranging (Lidar) which can provide fast and accurate measurements for estimating AGB on larger scale. Forest inventory data such as (i) diameter at breast height (DBH), (ii) height of trees, (iii) coordinates of trees, and (iv) tree species , were collected from 41 circular plots with the radius of 10m. Using ground data measurements, the biomass estimation from the ground was calculated using several allometric equations available for tropical forest in Malaysia. Statistical methods on plot sample were used in this study for parameter extraction from LIDAR point cloud data. The numbers of Lidar metrics were generated based on Lidar points height from normalized Digital Surface Model (nDSM) / Canopy Height Model (CHM). The result shows the relatively good correlation between the derived AGB from Lidar metrics and ground data with the use of four statistical method namely (i) linear, (ii) non-linear, (iii) multiple linear (stepwise regression) and (iv) Artificial Neural Network. Overall, multiple linear using stepwise regression produces the highest correlation = 0.73 compared to other three methods atiff UTM 92 p. Project Paper (Sarjana Muda Sains (Geoinformatik)) - Universiti Teknologi Malaysia, 2015 2025-03-17T03:55:24Z 2025-03-17T03:55:24Z 2015 Bachelor thesis https://utmik.utm.my/handle/123456789/55446 valet-20170131-175038 vital:94506 ENG Closed Access UTM Complete Unpublished application/pdf Universiti Teknologi Malaysia
spellingShingle Mechanical engineering
Lina Farhana Ab. Karim
Estimating aboveground biomass of logged forest in Terengganu using lidar and ground based measurement
thesis_level Other
title Estimating aboveground biomass of logged forest in Terengganu using lidar and ground based measurement
title_full Estimating aboveground biomass of logged forest in Terengganu using lidar and ground based measurement
title_fullStr Estimating aboveground biomass of logged forest in Terengganu using lidar and ground based measurement
title_full_unstemmed Estimating aboveground biomass of logged forest in Terengganu using lidar and ground based measurement
title_short Estimating aboveground biomass of logged forest in Terengganu using lidar and ground based measurement
title_sort estimating aboveground biomass of logged forest in terengganu using lidar and ground based measurement
topic Mechanical engineering
url https://utmik.utm.my/handle/123456789/55446
work_keys_str_mv AT linafarhanaabkarim estimatingabovegroundbiomassofloggedforestinterengganuusinglidarandgroundbasedmeasurement