Title:	Mapping key indicators of forest restoration in the Amazon using a low-cost drone and artificial intelligence.
Authors:	ALBUQUERQUE, R. W. VIEIRA, D. L. M. FERREIRA, M. E. SOARES, L. P. OLSEN, S. I. ARAUJO, L. S. de VICENTE, L. E. TYMUS, J. R. C. BALIEIRO, C. P. MATSUMOTO, M. H. GROHMANN, C. H.
Affiliation:	RAFAEL WALTER ALBUQUERQUE, UNB; DANIEL LUIS MASCIA VIEIRA, Cenargen; MANUEL EDUARDO FERREIRA, UFG; LUCAS PEDROSA SOARES, UNB; SØREN INGVOR OLSEN, University of Copenhagen, Denmark; LUCIANA SPINELLI DE ARAUJO, CNPMA; LUIZ EDUARDO VICENTE, CNPMA; JULIO RICARDO CAETANO TYMUS, The Nature Conservancy Brasil-TNC; CINTIA PALHETA BALIEIRO, The Nature Conservancy Brasil-TNC; MARCELO HIROMITI MATSUMOTO, ESALQ/USP; CARLOS HENRIQUE GROHMANN, USP.
Date Issued:	2022
Citation:	Remote Sensing, v. 14, n. 4, 830, 2022.
Thesagro:	Cecropia
NAL Thesaurus:	Photogrammetry Species diversity Vismia
Keywords:	Deep learning Drones Remotely piloted aircraft RGB Tree crown heterogeneity index Tree species
DOI:	https://doi.org/10.3390/rs14040830
Notes:	Na publicação: Luciana Spinelli Araujo.
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CENARGEN)