Brigitte Leblon

Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn

Hwang Lee, Jinfei Wang, Brigitte Leblon · Remote Sensing · 2020 · 144 citations · Full text

Uav Images, Precision Agriculture, Engineering +18

On the use of X-ray computed tomography for determining wood properties: a review¹This article is a contribution to the series The Role of Sensors in the New Forest Products Industry and Bioeconomy.

Qiang Wei, Brigitte Leblon, A. La Rocque · Canadian Journal of Forest Research · 2011 · 115 citations

Computed Tomography, Image Reconstruction, Engineering +20

Savannah woody structure modelling and mapping using multi-frequency (X-, C- and L-band) Synthetic Aperture Radar data

Laven Naidoo, Renaud Mathieu, Russell Main et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2015 · 88 citations

Radar, Earth Observation, Engineering +8

Non-destructive estimation of potato leaf chlorophyll from canopy hyperspectral reflectance using the inverted PROSAIL model

Elizabeth Botha, Brigitte Leblon, Bernie J. Zebarth et al. · International Journal of Applied Earth Observation and Geoinformation · 2006 · 81 citations

Inverted Prosail Model, Precision Agriculture, Environmental Monitoring +15

Non-destructive estimation of potato leaf chlorophyll and protein contents from hyperspectral measurements using the PROSPECT radiative transfer model

Elizabeth Botha, Bernie J. Zebarth, Brigitte Leblon · Canadian Journal of Plant Science · 2006 · 75 citations

Precision Agriculture, Environmental Monitoring, Engineering +16