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Nombre de documents : 4.
2022
Estimating forest heights and wood volume using a deep learning approach from Gedi waveform data.
Fayad Ibrahim, Ienco Dino, Baghdadi Nicolas, Gaetano Raffaele, Alcarde Alvares Clayton, Stape Jose Luiz, Ferraço Scolforo Henrique, Le Maire Guerric.
2022.
In : 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, GRSS. Kuala Lumpur : IEEE , 7301-7304.
IGARSS 2022, Kuala Lumpur, Malaisie, 17 Juillet 2022/22 Juillet 2022.
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2021
Assessment of GEDI's LiDAR data for the estimation of canopy heights and wood volume of eucalyptus plantations in Brazil.
Fayad Ibrahim, Baghdadi Nicolas, Alcarde Alvares Clayton, Stape Jose Luiz, Bailly Jean Stéphane, Ferraço Scolforo Henrique, Zribi Mehrez, Le Maire Guerric.
2021.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14 : 7095-7110.
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A CNN-based approach for the estimation of canopy heights and wood volume from GEDI waveforms.
Fayad Ibrahim, Ienco Dino, Baghdadi Nicolas, Gaetano Raffaele, Alcarde Alvares Clayton, Stape Jose Luiz, Ferraço Scolforo Henrique, Le Maire Guerric.
2021.
Remote Sensing of Environment, 265:112652, 16 p.
Prévisualisation |
Terrain slope effect on forest height and wood volume estimation from GEDI data.
Fayad Ibrahim, Baghdadi Nicolas, Alcarde Alvares Clayton, Stape Jose Luiz, Bailly Jean Stéphane, Ferraço Scolforo Henrique, Ramos Cegatta Italo, Zribi Mehrez, Le Maire Guerric.
2021.
Remote Sensing, 13 (11):2136, 22 p.
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