Mapping integrated crop–livestock systems using fused Sentinel-2 and PlanetScope time series and deep learning.

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dc.contributorJOÃO P. S. WERNER, UNIVERSIDADE ESTADUAL DE CAMPINAS; MARIANA BELGIU, UNIVERSITY OF TWENTE; INACIO T. BUENO, UNIVERSIDADE ESTADUAL DE CAMPINAS; ALINY A. DOS REIS, UNIVERSIDADE ESTADUAL DE CAMPINAS; ANA P. S. G. D. TORO, UNIVERSIDADE ESTADUAL DE CAMPINAS; JOAO FRANCISCO GONCALVES ANTUNES, CNPTIA; ALFRED STEIN, UNIVERSITY OF TWENTE; RUBENS A. C. LAMPARELLI, UNIVERSIDADE ESTADUAL DE CAMPINAS; PAULO S. G. MAGALHÃES, UNIVERSIDADE ESTADUAL DE CAMPINAS; ALEXANDRE CAMARGO COUTINHO, CNPTIA; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA; GLEYCE K. D. A. FIGUEIREDO, UNIVERSIDADE ESTADUAL DE CAMPINAS.
dc.creatorWERNER, J. P. S.
dc.creatorBELGIU, M.
dc.creatorBUENO, I. T.
dc.creatorREIS, A. A. dos
dc.creatorTORO, A. P. S. G. D.
dc.creatorANTUNES, J. F. G.
dc.creatorSTEIN, A.
dc.creatorLAMPARELLI, R. A. C.
dc.creatorMAGALHÃES, P. S. G.
dc.creatorCOUTINHO, A. C.
dc.creatorESQUERDO, J. C. D. M.
dc.creatorFIGUEIREDO, G. K. D. A.
dc.date2024-05-16T17:55:39Z
dc.date2024-05-16T17:55:39Z
dc.date2024-05-16
dc.date2024
dc.date.accessioned2026-07-07T04:17:46Z
dc.descriptionThe main objective of this research was to develop a method for mapping ICLS using deep learning algorithms applied on Satellite Image Time Series (SITS) data cubes, which consist of Sentinel-2 (S2) and PlanetScope (PS) satellite images, as well as data fused (DF) from both sensors. This study focused on two Brazilian states with varying landscapes and field sizes.
dc.identifierRemote Sensing, v. 16, n. 8, p. 1421, Apr. 2024.
dc.identifier2072-4292
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1164300
dc.identifier10.3390/rs16081421
dc.identifier.urihttp://hdl.handle.net/123456789/456817
dc.languageeng
dc.rightsopenAccess
dc.subjectFusão de dados
dc.subjectICLS
dc.subjectAgricultura regenerativa
dc.subjectSistemas integrados lavoura-pecuária
dc.subjectAprendizado profundo
dc.subjectData fusion
dc.subjectMulti-sensor
dc.subjectTempCNN
dc.subjectTemporal encoder
dc.subjectRegenerative agriculture
dc.subjectDeep learning
dc.titleMapping integrated crop–livestock systems using fused Sentinel-2 and PlanetScope time series and deep learning.
dc.typeArtigo de periódico

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