Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1116250
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dc.contributor.authorSANCHES, I. D.eng
dc.contributor.authorLUIZ, A. J. B.eng
dc.contributor.authorMONTIBELLER, B.eng
dc.contributor.authorSCHULTZ, B.eng
dc.contributor.authorTRABAQUINI, K.eng
dc.contributor.authorEBERHARDT, D. S.eng
dc.contributor.authorFORMAGGIO, A. R.eng
dc.contributor.authorMAURANO, L. E. P.eng
dc.date.accessioned2019-12-07T00:36:54Z-
dc.date.available2019-12-07T00:36:54Z-
dc.date.created2019-12-06
dc.date.issued2019
dc.identifier.citationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 42, n. 3, p. 149-156, 2019. Edition of Proceedings of ISPRS-GEOGLAM-ISRS Joint Int. Workshop on Earth Observations for Agricultural Monitoring, 18-20 February 2019, New Delhi, India.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1116250-
dc.descriptionAbstract: The agricultural activity can greatly benefit from remote sensing technology (RS). Optical passive RS has been vastly explored for agricultural mapping and monitoring, in despite of cloud cover issue. This is observed even in the tropics, where frequency of clouds is very high. However, more studies are needed to better understand the high dynamism of tropical agriculture and its impact on the use of passive RS. In tropical countries, such as in Brazil, the use of current agricultural technologies, associated with favourable climate, allow the planting period to be wide and to have plants of varying phenological cycles. In this context, the main objective of the current study is to better understand the dynamics of a selected area in Southeast of São Paulo state, and its impact on the use of orbital passive RS. For that purpose, data (from field and satellite) from 55 agricultural fields, including annual, semi-perennial and perennial crops and silviculture, were acquired between July 2014 and December 2016. Field campaigns were conducted in a monthly base to gather information about the condition of the crops along their development (data available in a website). Field data corresponding to the 2014-2015 crop year were associated with a time series of Landsat-8/OLI RGB false-colour compositions images and MODIS/Terra NDVI profiles. The type of information that can be extracted (such as specie identification, crop management practices adopted, date of harvest, type o production system used etc) by combining passive remote sensing data with field data is discussed in the paper.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectSatellite imageeng
dc.subjectOptical sensoreng
dc.subjectMultispectraleng
dc.subjectRGB false compositioneng
dc.subjectNDVIeng
dc.titleUnderstanding the dynamic of tropical agriculture for remote sensing applications: a case study of Southeastern Brazil.eng
dc.typeArtigo de periódicoeng
dc.date.updated2019-12-07T00:36:54Z
dc.subject.thesagroSensoriamento Remotoeng
dc.subject.thesagroSatéliteeng
dc.subject.thesagroAgriculturaeng
dc.subject.nalthesaurusSatelliteseng
dc.subject.nalthesaurusImage analysiseng
dc.subject.nalthesaurusImage interpretationeng
dc.subject.nalthesaurusTropical agricultureeng
dc.subject.nalthesaurusmonitoringeng
riaa.ainfo.id1116250eng
riaa.ainfo.lastupdate2019-12-06
dc.identifier.doihttps://doi.org/10.5194/isprs-archives-XLII-3-W6-149-2019eng
dc.contributor.institutionIEDA DEL’ARCO SANCHES, INPEeng
dc.contributor.institutionALFREDO JOSE BARRETO LUIZ, CNPMAeng
dc.contributor.institutionB MONTIBELLER, University of Tartueng
dc.contributor.institutionB SCHUTZ, INIVAPeng
dc.contributor.institutionKLEBER TRABAQUINI, Epagrieng
dc.contributor.institutionISAQUE DANIEL ROCHA EBERHARDT, UnBeng
dc.contributor.institutionANTONIO ROBERTO FORMAGGIO, INPEeng
dc.contributor.institutionLUÍS EDUARDO PINHEIRO MAURANO, INPE.eng
Aparece nas coleções:Artigo em periódico indexado (CNPMA)

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