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Using deep-learning convolutional network for estimating canopy traits from high-resolution imagery

Grant number: 19/09248-1
Support Opportunities:Scholarships in Brazil - Technical Training Program - Technical Training
Effective date (Start): August 01, 2019
Effective date (End): November 30, 2021
Field of knowledge:Physical Sciences and Mathematics - Geosciences
Acordo de Cooperação: NERC, UKRI ; Newton Fund - LATAM ; Newton Fund, with FAPESP as a partner institution in Brazil
Principal Investigator:Luiz Eduardo Oliveira e Cruz de Aragão
Grantee:Annia Susin Streher
Host Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia e Inovações (Brasil). São José dos Campos , SP, Brazil
Associated research grant:18/15001-6 - ARBOLES: a trait-based understanding of LATAM forest biodiversity and resilience, AP.R
News published in Agência FAPESP Newsletter about the scholarship:
TITULO 
Articles published in other media outlets (0 total):
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VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
WAGNER, FABIEN H.; DALAGNOL, RICARDO; CASAPIA, XIMENA TAGLE; STREHER, ANNIA S.; PHILLIPS, OLIVER L.; GLOOR, EMANUEL; ARAGAO, LUIZ E. O. C.. Regional Mapping and Spatial Distribution Analysis of Canopy Palms in an Amazon Forest Using Deep Learning and VHR Images. REMOTE SENSING, v. 12, n. 14, . (16/17652-9, 13/50533-5, 15/50484-0, 19/09248-1, 15/22987-7)
DALAGNOL, RICARDO; WAGNER, FABIEN H.; GALVAO, LENIO S.; STREHER, ANNIA S.; PHILLIPS, OLIVER L.; GLOOR, EMANUEL; PUGH, THOMAS A. M.; OMETTO, JEAN P. H. B.; ARAGAO, LUIZ E. O. C.. Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates. SCIENTIFIC REPORTS, v. 11, n. 1, . (15/22987-7, 16/17652-9, 15/50484-0, 19/21662-8, 19/09248-1)

Please report errors in scientific publications list by writing to: cdi@fapesp.br.