Hue, Su Wah (2017) Forest structure and above-ground biomass estimation in Danum Valley using airbone Lidar Data. Masters thesis, Universiti Malaysia Sabah.
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Abstract
Above-ground Biomass (AGB) estimation in tropical forest is challenging due to the complex forest structure. Evolving technology in remote sensing especially airborne Light Detection and Ranging (LiDAR) is a promising technology that construct a three dimensional model of the complex forest canopy. The application of airborne LiDAR data was examined to estimate AGB of the primary and the logged over forest near to Danum Valley Conservation Area (DVCA). Field based AGB was calculated using the allometric equations of Yamakura (Yamakura et al. 1986) and Chave (Chave et al., 2014). A total of 50 plots were collected in the primary (n=20) and logged-over (n= 30) forests. The structure of the forests were analyzed using the airborne LiDAR data acquired in October 2013. LiDAR metrics were calculated from the first and last returns of the point clouds at plot level to generate the height metrics and laser penetration (LPs). From the result of the stepwise regression analysis, maximum DBH was explained by a multivariate model with height metric H70 as predictor (R2 = 0.62, RMSE = 16.59 cm). A single predictor model with height metric H90 was effective to estimate maximum tree height (R2 = 0.88, RMSE = 3.6 m) for both forests combined while a multivariate model comprised of H10, H70 and H90 explained 87% of the Lorey's Height (LH) of the combined forest. For AGB estimation, a stepwise multiple regression analysis was used to develop an AGB model by relating the height metrics and LPs. Natural log transformation model of AGB (Chave) for both forests combined improved the AGB estimation with R2 of 0. 70 (RMSEcv=26.16%). The predictors Hmean, LP0, LP1 and LP14 were selected in this regression model. The results suggest that airborne LiDAR is a reliable and accurate technology to estimate AGB in tropical forest in Sabah.
| Item Type: | Thesis (Masters) |
|---|---|
| Keyword: | Above-ground Biomass, Airborne light Detection and Ranging, Technology |
| Subjects: | S Agriculture > SD Forestry > SD1-669.5 Forestry |
| Department: | FACULTY > Faculty of Science and Natural Resources |
| Depositing User: | DG MASNIAH AHMAD - |
| Date Deposited: | 25 Jan 2024 16:29 |
| Last Modified: | 25 Jan 2024 16:29 |
| URI: | https://eprints.ums.edu.my/id/eprint/37971 |
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