Parameterization of aerodynamic roughness length and zero plane displacement over tropical region using airborne LiDAR data
Airborne LiDAR data has been one of the reliable data for individual tree properties estimation. High density airborne LiDAR data has been used previously for detailed reconstruction of tree geometry. The aim of this study is to estimate aerodynamic roughness over specific height (Zo/H) and zero pla...
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my.utm.587522021-12-19T02:09:10Z http://eprints.utm.my/id/eprint/58752/ Parameterization of aerodynamic roughness length and zero plane displacement over tropical region using airborne LiDAR data Rahman, M. Z. A. Farok, F. Rasib, A. W. Kadir, W. H. W. HD1394-1394.5 Real estate management Airborne LiDAR data has been one of the reliable data for individual tree properties estimation. High density airborne LiDAR data has been used previously for detailed reconstruction of tree geometry. The aim of this study is to estimate aerodynamic roughness over specific height (Zo/H) and zero plane displacement (do) over forest area using airborne LiDAR data. The results of this study will be very useful as a main guideline for related applications to understand the role of carbon and hydrological cycles, land cover and land use change, habitat fragmentation, and biogeographical modeling. The airborne LiDAR data is first classified into ground and non-ground classes. The ground points are interpolated for digital terrain model (DTM) generation and the non-ground points are used to generate digital surface model (DSM). Canopy height model (CHM) is then generated by subtracting DTM from DSM. Individual tree delineation is carried out on the CHM and individual tree height is used together with allometric equation in estimating height to crown base (HCB) and diameter at breast height (DBH). Tree crown delineation is carried out using the Inverse Watershed segmentation approach. Crown diameter, HBC and DBH are used to estimate individual tree frontal area and the total frontal area over a specific ground surface is further calculated by subtracting the intersected crowns and trunks from the total area of tree crowns and trunks. The considered ground area i.e. plants area determined the final spatial resolution of the Zo/H and do. Both parameters are calculated for different wind directions that were assumed to be originated from North/South and East/West. The results show that the estimated Zo/H and do have similar pattern and values with previous studies over vegetated area. Penerbit UTM Press 2015 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/58752/1/MuhammadZulkarnainAbdulRahman2015_ParameterizationofAerodynamicRoughness.pdf Rahman, M. Z. A. and Farok, F. and Rasib, A. W. and Kadir, W. H. W. (2015) Parameterization of aerodynamic roughness length and zero plane displacement over tropical region using airborne LiDAR data. Jurnal Teknologi, 73 (5). pp. 119-125. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v73.4328 DOI: 10.11113/jt.v73.4328 |
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Airborne LiDAR data has been one of the reliable data for individual tree properties estimation. High density airborne LiDAR data has been used previously for detailed reconstruction of tree geometry. The aim of this study is to estimate aerodynamic roughness over specific height (Zo/H) and zero plane displacement (do) over forest area using airborne LiDAR data. The results of this study will be very useful as a main guideline for related applications to understand the role of carbon and hydrological cycles, land cover and land use change, habitat fragmentation, and biogeographical modeling. The airborne LiDAR data is first classified into ground and non-ground classes. The ground points are interpolated for digital terrain model (DTM) generation and the non-ground points are used to generate digital surface model (DSM). Canopy height model (CHM) is then generated by subtracting DTM from DSM. Individual tree delineation is carried out on the CHM and individual tree height is used together with allometric equation in estimating height to crown base (HCB) and diameter at breast height (DBH). Tree crown delineation is carried out using the Inverse Watershed segmentation approach. Crown diameter, HBC and DBH are used to estimate individual tree frontal area and the total frontal area over a specific ground surface is further calculated by subtracting the intersected crowns and trunks from the total area of tree crowns and trunks. The considered ground area i.e. plants area determined the final spatial resolution of the Zo/H and do. Both parameters are calculated for different wind directions that were assumed to be originated from North/South and East/West. The results show that the estimated Zo/H and do have similar pattern and values with previous studies over vegetated area. |
format |
Article |
author |
Rahman, M. Z. A. Farok, F. Rasib, A. W. Kadir, W. H. W. |
author_facet |
Rahman, M. Z. A. Farok, F. Rasib, A. W. Kadir, W. H. W. |
author_sort |
Rahman, M. Z. A. |
title |
Parameterization of aerodynamic roughness length and zero plane displacement over tropical region using airborne LiDAR data |
title_short |
Parameterization of aerodynamic roughness length and zero plane displacement over tropical region using airborne LiDAR data |
title_full |
Parameterization of aerodynamic roughness length and zero plane displacement over tropical region using airborne LiDAR data |
title_fullStr |
Parameterization of aerodynamic roughness length and zero plane displacement over tropical region using airborne LiDAR data |
title_full_unstemmed |
Parameterization of aerodynamic roughness length and zero plane displacement over tropical region using airborne LiDAR data |
title_sort |
parameterization of aerodynamic roughness length and zero plane displacement over tropical region using airborne lidar data |
publisher |
Penerbit UTM Press |
publishDate |
2015 |
url |
http://eprints.utm.my/id/eprint/58752/1/MuhammadZulkarnainAbdulRahman2015_ParameterizationofAerodynamicRoughness.pdf http://eprints.utm.my/id/eprint/58752/ http://dx.doi.org/10.11113/jt.v73.4328 |
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1720436888637014016 |
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13.209306 |