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Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed.

F. Waldner, N. Bellemans, Z. Hochman, T. Newby, D. de Abelleyra, S. Verón, S. Bartalev, M. Lavreniuk, N. Kussul, G. le Maire, M. Simões, S. Skakun, and P. Defourny. Int. J. Appl. Earth Obs. Geoinformation, (2019)

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Michel Le Maire

Cyrille Maire

Niels Carsten Maire

Felix Maire

Pascal Felix Maire

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PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigmentsJ. Feret, C. Francois, G. Asner, A. Gitelson, R. Martin, L. Bidel, S. Ustin, G. le Maire, and S. Jacquemoud. Remote Sensing of Environment, 112 (6): 3030--3043 (2008)Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed.F. Waldner, N. Bellemans, Z. Hochman, T. Newby, D. de Abelleyra, S. Verón, S. Bartalev, M. Lavreniuk, N. Kussul, G. le Maire and 3 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2019)Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm.A. dos Santos Luciano, M. Picoli, D. Duft, J. Rocha, M. Leal, and G. le Maire. Comput. Electron. Agric., (2021)Influence of GEDI Acquisition and Processing Parameters on Canopy Height Estimates over Tropical Forests.K. Lahssini, N. Baghdadi, G. le Maire, and I. Fayad. Remote. Sens., 14 (24): 6264 (December 2022)Evaluation of Time Series Gap-Filling of Venµs Satellite for Land Use Classification.D. Shibuya, G. Pereira, G. Figueiredo, A. dos Santos Luciano, R. Lamparelli, and G. le Maire. IGARSS, page 4244-4247. IEEE, (2021)Tree crown detection in high resolution optical images during the early growth stages of Eucalyptus plantations in Brazil.J. Zhou, C. Proisy, P. Couteron, X. Descombes, J. Zerubia, G. le Maire, and Y. Nouvellon. ACPR, page 623-627. IEEE, (2011)Hyperspectral indices and forest characteristics.G. le Maire. IGARSS, page 7317-7320. IEEE, (2012)Estimating Canopy Height and Wood Volume of Eucalyptus Plantations in Brazil Using GEDI LiDAR Data.I. Fayad, N. Baghdadi, C. Alvares, J. Stape, J. Bailly, H. Scolforo, M. Zribi, and G. le Maire. IGARSS, page 5941-5944. IEEE, (2021)Estimation of forest height and above ground biomass from ICESat/GLAS data in Eucalyptus plantations in Brazil.N. Baghdadi, G. le Maire, I. Fayad, J. Bailly, Y. Nouvellon, C. Lemos, and R. Hakamada. IGARSS, page 725-728. IEEE, (2014)Estimation of Eucalyptus plantations above ground biomass in Brazil using ALOS/PALSAR L-band data.N. Baghdadi, G. le Maire, J. Bailly, K. Ose, Y. Nouvellon, M. Zribi, C. Lemos, and R. Hakamada. IGARSS, page 721-724. IEEE, (2014)

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Disambiguation of "le Maire, Guerric"

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Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed.

Please choose a person to relate this publication to

Michel Le Maire

Cyrille Maire

Niels Carsten Maire

Felix Maire

Pascal Felix Maire

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "le Maire, Guerric"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed.

Please choose a person to relate this publication to

Michel Le Maire

Cyrille Maire

Niels Carsten Maire

Felix Maire

Pascal Felix Maire

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed.