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Article: Improving measurement of forest structural parameters by co-registering of high resolution aerial imagery and low density LiDAR data
Title | Improving measurement of forest structural parameters by co-registering of high resolution aerial imagery and low density LiDAR data |
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Authors | |
Keywords | Forest structural parameters extraction Aerial image LiDAR |
Issue Date | 2009 |
Citation | Sensors, 2009, v. 9, n. 3, p. 1541-1558 How to Cite? |
Abstract | Forest structural parameters, such as tree height and crown width, are indispensable for evaluating forest biomass or forest volume. LiDAR is a revolutionary technology for measurement of forest structural parameters, however, the accuracy of crown width extraction is not satisfactory when using a low density LiDAR, especially in high canopy cover forest. We used high resolution aerial imagery with a low density LiDAR system to overcome this shortcoming. A morphological filtering was used to generate a DEM (Digital Elevation Model) and a CHM (Canopy Height Model) from LiDAR data. The LiDAR camera image is matched to the aerial image with an automated keypoints search algorithm. As a result, a high registration accuracy of 0.5 pixels was obtained. A local maximum filter, watershed segmentation, and object-oriented image segmentation are used to obtain tree height and crown width. Results indicate that the camera data collected by the integrated LiDAR system plays an important role in registration with aerial imagery. The synthesis with aerial imagery increases the accuracy of forest structural parameter extraction when compared to only using the low density LiDAR data. |
Persistent Identifier | http://hdl.handle.net/10722/296645 |
ISSN | 2023 Impact Factor: 3.4 2023 SCImago Journal Rankings: 0.786 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Huang, Huabing | - |
dc.contributor.author | Gong, Peng | - |
dc.contributor.author | Cheng, Xiao | - |
dc.contributor.author | Clinton, Nick | - |
dc.contributor.author | Li, Zengyuan | - |
dc.date.accessioned | 2021-02-25T15:16:21Z | - |
dc.date.available | 2021-02-25T15:16:21Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | Sensors, 2009, v. 9, n. 3, p. 1541-1558 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296645 | - |
dc.description.abstract | Forest structural parameters, such as tree height and crown width, are indispensable for evaluating forest biomass or forest volume. LiDAR is a revolutionary technology for measurement of forest structural parameters, however, the accuracy of crown width extraction is not satisfactory when using a low density LiDAR, especially in high canopy cover forest. We used high resolution aerial imagery with a low density LiDAR system to overcome this shortcoming. A morphological filtering was used to generate a DEM (Digital Elevation Model) and a CHM (Canopy Height Model) from LiDAR data. The LiDAR camera image is matched to the aerial image with an automated keypoints search algorithm. As a result, a high registration accuracy of 0.5 pixels was obtained. A local maximum filter, watershed segmentation, and object-oriented image segmentation are used to obtain tree height and crown width. Results indicate that the camera data collected by the integrated LiDAR system plays an important role in registration with aerial imagery. The synthesis with aerial imagery increases the accuracy of forest structural parameter extraction when compared to only using the low density LiDAR data. | - |
dc.language | eng | - |
dc.relation.ispartof | Sensors | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Forest structural parameters extraction | - |
dc.subject | Aerial image | - |
dc.subject | LiDAR | - |
dc.title | Improving measurement of forest structural parameters by co-registering of high resolution aerial imagery and low density LiDAR data | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3390/s90301541 | - |
dc.identifier.pmid | 22573971 | - |
dc.identifier.pmcid | PMC3345824 | - |
dc.identifier.scopus | eid_2-s2.0-63849173912 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 1541 | - |
dc.identifier.epage | 1558 | - |
dc.identifier.isi | WOS:000264572700018 | - |
dc.identifier.issnl | 1424-8220 | - |