Brede, B.
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1

Performance of the Enhanced Vegetation Index to Detect Inne..:

Brede, B. ; Verbesselt, J. ; Dutrieux, L..
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.  XL-7/W3 (2015)  - p. 337-344 , 2015
 
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Real-time PCR assays for the detection of Mycoplasma pneumo..:

Hester, J.D. ; Brede, B.S. ; Halsey, J.F.
Journal of Allergy and Clinical Immunology.  111 (2003)  2 - p. S307 , 2003
 
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TLS2trees: A scalable tree segmentation pipeline for TLS da..:

Wilkes, P ; Disney, M ; Armston, J...
https://plymsea.ac.uk/id/eprint/10077/1/Methods%20Ecol%20Evol%20-%202023%20-%20Wilkes%20-%20TLS2trees%20%20A%20scalable%20tree%20segmentation%20pipeline%20for%20TLS%20data.pdf.  , 2023
 
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TomoSense: A unique 3D dataset over temperate forest combin..:

Tebaldini, S ; d'Alessandro, M ; Ulander, L...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2023.113532.  , 2023
 
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5

Multi-sensor airborne lidar requires intercalibration for c..:

Vincent, G ; Verley, P ; Brede, B...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2022.113442.  , 2023
 
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StrucNet: a global network for automated vegetation structu..:

Calders, K ; Brede, B ; Newnham, G...
info:eu-repo/semantics/altIdentifier/doi/10.1002/rse2.333.  , 2023
 
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Distinguishing forest types in restored tropical landscapes..:

Scheeres, J ; de Jong, J ; Brede, B...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2023.113533.  , 2023
 
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TLS2trees: A scalable tree segmentation pipeline forTLSdata:

Wilkes, P ; Disney, M ; Armston, J...
info:eu-repo/semantics/altIdentifier/doi/10.1111/2041-210X.14233.  , 2023
 
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Quantifying tropical forest structure through terrestrial a..:

Terryn, L ; Calders, K ; Bartholomeus, H...
https://discovery.ucl.ac.uk/id/eprint/10146690/1/CleanRevision.pdf.  , 2022
 
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Non-destructive estimation of individual tree biomass: Allo..:

Brede, B ; Terryn, L ; Barbier, N...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2022.113180.  , 2022
 
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Peering through the thicket: Effects of UAV LiDAR scanner s..:

Brede, B ; Bartholomeus, H ; Barbier, N...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jag.2022.103056.  , 2022
 
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Factors Influencing Temperature Measurements from Miniaturi..:

Wan, Q ; Brede, B ; Smigaj, M.
info:eu-repo/semantics/altIdentifier/doi/10.3390/s21248466.  , 2021
 
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13

Memory effects of climate and vegetation affecting net ecos..:

Besnard, H ; Carvalhais, N ; Arain, M.A...
Besnard, S., Carvalhais, N., Arain, M.A., Black, A., Brede, B., Buchmann, N., Chen, J., Clevers, J.G.P.W., Dutrieux, L.P, Gans, F., Herold, M., Jung, M., Kosugi, Y., Knohl, A., Law, B.E, Paul-Limoges, E., Lohila, A., Merbold, L., Roupsard, O., Valentini, R., Wolf, S., Zhang, X. and Reichstein, M. 2019. Memory effects of climate and vegetation affecting net ecosystem CO2 fluxes in global forests. PLOS One.  , 2019
 
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Data acquisition considerations for Terrestrial Laser Scann..:

Wilkie, P ; Lau, A ; Disney, M...
Wilkie, P., Lau, A., Disney, M., Calders, K., Burt, A., de Tanago, J.G., Bartholomeus, H., Brede, B., Herold, M. 2017. Data acquisition considerations for Terrestrial Laser Scanning of forest plots Remote Sensing of Environment, 196 : 140-153. http://dx.doi.org/10.1016/j.rse.2017.04.030.  , 2018
 
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Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height an..:

Brede, B ; Lau, A ; Bartholomeus, H.M.
Brede, B., Lau, A., Bartholomeus, H,.M., Kooistra, L. 2017. Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR Sensors, 17 (10) : 2371. http://dx.doi.org/10.3390/s17102371.  , 2018
 
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