Large-area virtual forests from terrestrial laser scanning data

K. Calders; A. Burt; N. Origo; M. Disney; J. Nightingale; P. Raumonen; P. Lewis

doi:10.1109/IGARSS.2016.7729452

Large-area virtual forests from terrestrial laser scanning data

K. Calders, A. Burt, N. Origo, M. Disney, J. Nightingale, P. Raumonen, P. Lewis

Tutkimustuotos: Konferenssiartikkeli › Scientific › vertaisarvioitu

14 Sitaatiot (Scopus)

Abstrakti

Combining virtual forests with radiative transfer is a powerful tool to calibrate and validate ground-based, airborne and spaceborne sensors. In this set-up, we can control and calculate all aspects of the forest structure and the simulated signal, which would not be possible using measured data only. Terrestrial laser scanning (TLS) enables us to measure forest structure directly with high detail. We present a processing chain that uses TLS data as input data to assess the end-to-end traceability of various in situ LAI and fAPAR products via radiative transfer modelling. Tree reconstruction from TLS data is used to represent the explicit 3D forest structure in radiative transfer models.

Alkuperäiskieli	Englanti
Otsikko	2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Kustantaja	IEEE
Sivut	1765-1767
Sivumäärä	3
ISBN (elektroninen)	978-1-5090-3332-4
DOI - pysyväislinkit	https://doi.org/10.1109/IGARSS.2016.7729452
Tila	Julkaistu - 3 marrask. 2016
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IEEE International Geoscience and Remote Sensing Symposium - Kesto: 1 tammik. 1900 → …

Julkaisusarja

Nimi	IEEE International Geoscience and Remote Sensing Symposium Proceedings
ISSN (elektroninen)	2153-7003

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium
Ajanjakso	1/01/00 → …

Julkaisufoorumi-taso

Jufo-taso 1

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Pääsy asiakirjaan

10.1109/IGARSS.2016.7729452

Siteeraa tätä

Calders, K., Burt, A., Origo, N., Disney, M., Nightingale, J., Raumonen, P., & Lewis, P. (2016). Large-area virtual forests from terrestrial laser scanning data. teoksessa 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (Sivut 1765-1767). (IEEE International Geoscience and Remote Sensing Symposium Proceedings). IEEE. https://doi.org/10.1109/IGARSS.2016.7729452

@inproceedings{e9259e1a07894caca01ee47473e64320,

title = "Large-area virtual forests from terrestrial laser scanning data",

abstract = "Combining virtual forests with radiative transfer is a powerful tool to calibrate and validate ground-based, airborne and spaceborne sensors. In this set-up, we can control and calculate all aspects of the forest structure and the simulated signal, which would not be possible using measured data only. Terrestrial laser scanning (TLS) enables us to measure forest structure directly with high detail. We present a processing chain that uses TLS data as input data to assess the end-to-end traceability of various in situ LAI and fAPAR products via radiative transfer modelling. Tree reconstruction from TLS data is used to represent the explicit 3D forest structure in radiative transfer models.",

keywords = "forestry, geophysical image processing, image reconstruction, remote sensing by laser beam, 3D forest structure, TLS data, absorbed photosynthetically active radiation, airborne sensor, fAPAR product, ground-based sensor, in situ LAI, large-area virtual forest, leaf area index, radiative transfer model, spaceborne sensor, terrestrial laser scanning, tree reconstruction, Biological system modeling, Data models, Laser modes, Sensors, Solid modeling, Three-dimensional displays, Vegetation, 3D modelling, Calibration and Validation, Forestry, Terrestrial LiDAR, radiative transfer",

author = "K. Calders and A. Burt and N. Origo and M. Disney and J. Nightingale and P. Raumonen and P. Lewis",

year = "2016",

month = nov,

day = "3",

doi = "10.1109/IGARSS.2016.7729452",

language = "English",

series = "IEEE International Geoscience and Remote Sensing Symposium Proceedings",

publisher = "IEEE",

pages = "1765--1767",

booktitle = "2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)",

note = "IEEE International Geoscience and Remote Sensing Symposium ; Conference date: 01-01-1900",

}

Calders, K, Burt, A, Origo, N, Disney, M, Nightingale, J, Raumonen, P & Lewis, P 2016, Large-area virtual forests from terrestrial laser scanning data. julkaisussa 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium Proceedings, IEEE, Sivut 1765-1767, IEEE International Geoscience and Remote Sensing Symposium, 1/01/00. https://doi.org/10.1109/IGARSS.2016.7729452

TY - GEN

T1 - Large-area virtual forests from terrestrial laser scanning data

AU - Calders, K.

AU - Burt, A.

AU - Origo, N.

AU - Disney, M.

AU - Nightingale, J.

AU - Raumonen, P.

AU - Lewis, P.

PY - 2016/11/3

Y1 - 2016/11/3

N2 - Combining virtual forests with radiative transfer is a powerful tool to calibrate and validate ground-based, airborne and spaceborne sensors. In this set-up, we can control and calculate all aspects of the forest structure and the simulated signal, which would not be possible using measured data only. Terrestrial laser scanning (TLS) enables us to measure forest structure directly with high detail. We present a processing chain that uses TLS data as input data to assess the end-to-end traceability of various in situ LAI and fAPAR products via radiative transfer modelling. Tree reconstruction from TLS data is used to represent the explicit 3D forest structure in radiative transfer models.

AB - Combining virtual forests with radiative transfer is a powerful tool to calibrate and validate ground-based, airborne and spaceborne sensors. In this set-up, we can control and calculate all aspects of the forest structure and the simulated signal, which would not be possible using measured data only. Terrestrial laser scanning (TLS) enables us to measure forest structure directly with high detail. We present a processing chain that uses TLS data as input data to assess the end-to-end traceability of various in situ LAI and fAPAR products via radiative transfer modelling. Tree reconstruction from TLS data is used to represent the explicit 3D forest structure in radiative transfer models.

KW - forestry

KW - geophysical image processing

KW - image reconstruction

KW - remote sensing by laser beam

KW - 3D forest structure

KW - TLS data

KW - absorbed photosynthetically active radiation

KW - airborne sensor

KW - fAPAR product

KW - ground-based sensor

KW - in situ LAI

KW - large-area virtual forest

KW - leaf area index

KW - radiative transfer model

KW - spaceborne sensor

KW - terrestrial laser scanning

KW - tree reconstruction

KW - Biological system modeling

KW - Data models

KW - Laser modes

KW - Sensors

KW - Solid modeling

KW - Three-dimensional displays

KW - Vegetation

KW - 3D modelling

KW - Calibration and Validation

KW - Forestry

KW - Terrestrial LiDAR

KW - radiative transfer

U2 - 10.1109/IGARSS.2016.7729452

DO - 10.1109/IGARSS.2016.7729452

M3 - Conference contribution

T3 - IEEE International Geoscience and Remote Sensing Symposium Proceedings

SP - 1765

EP - 1767

BT - 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

PB - IEEE

T2 - IEEE International Geoscience and Remote Sensing Symposium

Y2 - 1 January 1900

ER -

Large-area virtual forests from terrestrial laser scanning data

Abstrakti

Julkaisusarja

Conference

Julkaisufoorumi-taso

YK:n kestävän kehityksen tavoitteet

Pääsy asiakirjaan

Sormenjälki

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