Calders, K;
Burt, A;
Origo, N;
Disney, M;
Nightingale, J;
Raumonen, P;
Lewis, P;
(2016)
Large-area virtual forests from terrestrial laser scanning data.
In: Wu, J and Jin, YQ, (eds.)
36th IEEE International Geoscience & Remote Sensing Symposium: Proceedings.
(pp. pp. 1765-1767).
Institute of Electrical and Electronics Engineers (IEEE)
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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.
Type: | Proceedings paper |
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Title: | Large-area virtual forests from terrestrial laser scanning data |
Event: | IGARSS 2016, 36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10-15 July 2016, Beijing, China |
Location: | Beijing, PEOPLES R CHINA |
Dates: | 10 July 2016 - 15 July 2016 |
ISBN-13: | 9781509033324 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/IGARSS.2016.7729452 |
Publisher version: | https://doi.org/10.1109/IGARSS.2016.7729452 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Terrestrial LiDAR, Forestry, 3D modelling, Calibration and Validation, radiative transfer |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1537045 |
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