Studying canopy structure through 3-D reconstruction of point clouds from full-waveform terrestrial lidar

Xiaoyuan Yang; Crystal Schaaf; Alan Strahler; Zhan Li; Zhuosen Wang; Tian Yao; Feng Zhao; Edward Saenz; Ian Paynter; Ewan Douglas; Supriya Chakrabarti; Timothy Cook; Jason Martel; Glenn Howe; Curtis Woodcock; David Jupp; Darius Culvenor; Glenn Newnham; Jenny Lovell

doi:10.1109/IGARSS.2013.6723552

Studying canopy structure through 3-D reconstruction of point clouds from full-waveform terrestrial lidar

Xiaoyuan Yang, Crystal Schaaf, Alan Strahler, Zhan Li, Zhuosen Wang, Tian Yao, Feng Zhao, Edward Saenz, Ian Paynter, Ewan Douglas, Supriya Chakrabarti, Timothy Cook, Jason Martel, Glenn Howe, Curtis Woodcock, David Jupp, Darius Culvenor, Glenn Newnham, Jenny Lovell

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

This study presents a three-dimensional (3-D) forest reconstruction methodology using the new and emerging science of terrestrial full-waveform lidar scanning, which can provide rapid and efficient measurements of canopy structure. A 3-D forest reconstruction provides a new pathway to estimate forest structural parameters such as tree diameter at breast height, tree height, crown diameter, and stem count density (trees per hectare). It enables the study of the detailed structure study with respect to the canopy (foliage or branch/trunk), as well as the generation of a digital elevation model (DEM) and a canopy height model (CHM) at the stand level. Leaf area index (LAI) and Foliage area volume density profile directly estimated from voxelized 3-D reconstruction agree with measurements from field and airborne instrument. A 3-D forest reconstruction allows virtual direct representation of forest structure, and provides consistent and reliable validation data sources for airborne or spaceborne data.

Original language	English (US)
Title of host publication	2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages	3375-3378
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2013.6723552
State	Published - 2013
Externally published	Yes
Event	2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia Duration: Jul 21 2013 → Jul 26 2013

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Country/Territory	Australia
City	Melbourne, VIC
Period	7/21/13 → 7/26/13

Keywords

3-D reconstruction
Canopy height model
Canopy structure parameter
Digital elevation model
Full waveform lidar
Leaf area index
Terrestrial lidar

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

Access to Document

10.1109/IGARSS.2013.6723552

Cite this

Yang, X., Schaaf, C., Strahler, A., Li, Z., Wang, Z., Yao, T., Zhao, F., Saenz, E., Paynter, I., Douglas, E., Chakrabarti, S., Cook, T., Martel, J., Howe, G., Woodcock, C., Jupp, D., Culvenor, D., Newnham, G., & Lovell, J. (2013). Studying canopy structure through 3-D reconstruction of point clouds from full-waveform terrestrial lidar. In 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings (pp. 3375-3378). Article 6723552 (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2013.6723552

Studying canopy structure through 3-D reconstruction of point clouds from full-waveform terrestrial lidar. / Yang, Xiaoyuan; Schaaf, Crystal; Strahler, Alan et al.
2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings. 2013. p. 3375-3378 6723552 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yang, X, Schaaf, C, Strahler, A, Li, Z, Wang, Z, Yao, T, Zhao, F, Saenz, E, Paynter, I, Douglas, E, Chakrabarti, S, Cook, T, Martel, J, Howe, G, Woodcock, C, Jupp, D, Culvenor, D, Newnham, G & Lovell, J 2013, Studying canopy structure through 3-D reconstruction of point clouds from full-waveform terrestrial lidar. in 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings., 6723552, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3375-3378, 2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, Melbourne, VIC, Australia, 7/21/13. https://doi.org/10.1109/IGARSS.2013.6723552

Yang X, Schaaf C, Strahler A, Li Z, Wang Z, Yao T et al. Studying canopy structure through 3-D reconstruction of point clouds from full-waveform terrestrial lidar. In 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings. 2013. p. 3375-3378. 6723552. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2013.6723552

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abstract = "This study presents a three-dimensional (3-D) forest reconstruction methodology using the new and emerging science of terrestrial full-waveform lidar scanning, which can provide rapid and efficient measurements of canopy structure. A 3-D forest reconstruction provides a new pathway to estimate forest structural parameters such as tree diameter at breast height, tree height, crown diameter, and stem count density (trees per hectare). It enables the study of the detailed structure study with respect to the canopy (foliage or branch/trunk), as well as the generation of a digital elevation model (DEM) and a canopy height model (CHM) at the stand level. Leaf area index (LAI) and Foliage area volume density profile directly estimated from voxelized 3-D reconstruction agree with measurements from field and airborne instrument. A 3-D forest reconstruction allows virtual direct representation of forest structure, and provides consistent and reliable validation data sources for airborne or spaceborne data.",

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author = "Xiaoyuan Yang and Crystal Schaaf and Alan Strahler and Zhan Li and Zhuosen Wang and Tian Yao and Feng Zhao and Edward Saenz and Ian Paynter and Ewan Douglas and Supriya Chakrabarti and Timothy Cook and Jason Martel and Glenn Howe and Curtis Woodcock and David Jupp and Darius Culvenor and Glenn Newnham and Jenny Lovell",

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AU - Yao, Tian

AU - Zhao, Feng

AU - Saenz, Edward

AU - Paynter, Ian

AU - Douglas, Ewan

AU - Chakrabarti, Supriya

AU - Cook, Timothy

AU - Martel, Jason

AU - Howe, Glenn

AU - Woodcock, Curtis

AU - Jupp, David

AU - Culvenor, Darius

AU - Newnham, Glenn

AU - Lovell, Jenny

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AB - This study presents a three-dimensional (3-D) forest reconstruction methodology using the new and emerging science of terrestrial full-waveform lidar scanning, which can provide rapid and efficient measurements of canopy structure. A 3-D forest reconstruction provides a new pathway to estimate forest structural parameters such as tree diameter at breast height, tree height, crown diameter, and stem count density (trees per hectare). It enables the study of the detailed structure study with respect to the canopy (foliage or branch/trunk), as well as the generation of a digital elevation model (DEM) and a canopy height model (CHM) at the stand level. Leaf area index (LAI) and Foliage area volume density profile directly estimated from voxelized 3-D reconstruction agree with measurements from field and airborne instrument. A 3-D forest reconstruction allows virtual direct representation of forest structure, and provides consistent and reliable validation data sources for airborne or spaceborne data.

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KW - Canopy height model

KW - Canopy structure parameter

KW - Digital elevation model

KW - Full waveform lidar

KW - Leaf area index

KW - Terrestrial lidar

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Studying canopy structure through 3-D reconstruction of point clouds from full-waveform terrestrial lidar

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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