Quantifying tropical forest stand structure through terrestrial and UAV laser scanning fusion

Louise Terryn; Kim Calders; H.M. Bartholomeus; Renee Bartolo; B. Brede; Barbara D’hont; Mathias Disney; M. Herold; A.I. Lau Sarmiento; Alexander Shenkin; Tim Whiteside; Phil Wilkes; Hans Verbeeck

Quantifying tropical forest stand structure through terrestrial and UAV laser scanning fusion

Louise Terryn^*
, Kim Calders
, H.M. Bartholomeus
, Renee Bartolo
, B. Brede
, Barbara D’hont
, Mathias Disney
, M. Herold
, A.I. Lau Sarmiento
, Alexander Shenkin
, Tim Whiteside
, Phil Wilkes
, Hans Verbeeck

^*Corresponding author for this work

Research output: Contribution to conference › Conference paper › Academic › peer-review

5 Citations (Scopus)

Abstract

Obtaining accurate and detailed structural forest information has been revolutionized with the emergence of laser scanning. The sampling limitations and potential of the different laser scanning platforms (e.g. TLS, UAV-LS) have, however, not been fully explored for dense tropical forests. We developed a novel method for the fusion of these platforms and calculated their point density profiles to gain insight in their sampling abilities. Our results reveal the shortcomings of TLS to sample the top of the canopy in a tropical rainforest. Moreover, we show that expensive multiple returns but also cheaper single returns UAV-LS systems could be applied to sample the forest structure.

Original language	English
Publication status	Published - 2021
Event	International Geoscience and Remote Sensing Symposium - Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021 https://igarss2021.com/

Conference/symposium

Conference/symposium	International Geoscience and Remote Sensing Symposium
Abbreviated title	IGARRS 2021
Country/Territory	Belgium
City	Brussels
Period	12/07/21 → 16/07/21
Internet address	https://igarss2021.com/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Cite this

Terryn, L., Calders, K., Bartholomeus, H. M., Bartolo, R., Brede, B., D’hont, B., Disney, M., Herold, M., Lau Sarmiento, A. I., Shenkin, A., Whiteside, T., Wilkes, P., & Verbeeck, H. (2021). Quantifying tropical forest stand structure through terrestrial and UAV laser scanning fusion. Paper presented at International Geoscience and Remote Sensing Symposium, Brussels, Belgium.

@conference{e0b4b2cc8c154f70bc644e2bf54eb1d0,

title = "Quantifying tropical forest stand structure through terrestrial and UAV laser scanning fusion",

abstract = "Obtaining accurate and detailed structural forest information has been revolutionized with the emergence of laser scanning. The sampling limitations and potential of the different laser scanning platforms (e.g. TLS, UAV-LS) have, however, not been fully explored for dense tropical forests. We developed a novel method for the fusion of these platforms and calculated their point density profiles to gain insight in their sampling abilities. Our results reveal the shortcomings of TLS to sample the top of the canopy in a tropical rainforest. Moreover, we show that expensive multiple returns but also cheaper single returns UAV-LS systems could be applied to sample the forest structure. ",

author = "Louise Terryn and Kim Calders and H.M. Bartholomeus and Renee Bartolo and B. Brede and Barbara D{\textquoteright}hont and Mathias Disney and M. Herold and \{Lau Sarmiento\}, A.I. and Alexander Shenkin and Tim Whiteside and Phil Wilkes and Hans Verbeeck",

year = "2021",

language = "English",

note = "International Geoscience and Remote Sensing Symposium, IGARRS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

url = "https://igarss2021.com/",

}

Terryn, L, Calders, K, Bartholomeus, HM, Bartolo, R, Brede, B, D’hont, B, Disney, M, Herold, M , Lau Sarmiento, AI, Shenkin, A, Whiteside, T, Wilkes, P & Verbeeck, H 2021, 'Quantifying tropical forest stand structure through terrestrial and UAV laser scanning fusion', Paper presented at International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 12/07/21 - 16/07/21.

TY - CONF

T1 - Quantifying tropical forest stand structure through terrestrial and UAV laser scanning fusion

AU - Terryn, Louise

AU - Calders, Kim

AU - Bartholomeus, H.M.

AU - Bartolo, Renee

AU - Brede, B.

AU - D’hont, Barbara

AU - Disney, Mathias

AU - Herold, M.

AU - Lau Sarmiento, A.I.

AU - Shenkin, Alexander

AU - Whiteside, Tim

AU - Wilkes, Phil

AU - Verbeeck, Hans

PY - 2021

Y1 - 2021

N2 - Obtaining accurate and detailed structural forest information has been revolutionized with the emergence of laser scanning. The sampling limitations and potential of the different laser scanning platforms (e.g. TLS, UAV-LS) have, however, not been fully explored for dense tropical forests. We developed a novel method for the fusion of these platforms and calculated their point density profiles to gain insight in their sampling abilities. Our results reveal the shortcomings of TLS to sample the top of the canopy in a tropical rainforest. Moreover, we show that expensive multiple returns but also cheaper single returns UAV-LS systems could be applied to sample the forest structure.

AB - Obtaining accurate and detailed structural forest information has been revolutionized with the emergence of laser scanning. The sampling limitations and potential of the different laser scanning platforms (e.g. TLS, UAV-LS) have, however, not been fully explored for dense tropical forests. We developed a novel method for the fusion of these platforms and calculated their point density profiles to gain insight in their sampling abilities. Our results reveal the shortcomings of TLS to sample the top of the canopy in a tropical rainforest. Moreover, we show that expensive multiple returns but also cheaper single returns UAV-LS systems could be applied to sample the forest structure.

M3 - Conference paper

T2 - International Geoscience and Remote Sensing Symposium

Y2 - 12 July 2021 through 16 July 2021

ER -

Quantifying tropical forest stand structure through terrestrial and UAV laser scanning fusion

Abstract

Conference/symposium

UN SDGs

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