Data/hora: 01/06/2024 15:06:02

Biblioteca(s): 	Epagri-Sede.	
Data corrente: 	11/04/2019	
Data da última atualização: 	11/04/2019	
Autoria: 	SANCHES, I. D.; MONTIBELLER, B.; SCHUTZ, B.; TRABAQUINI, K.; EBERHARDT, I. D.; FORMAGGIO, A. R.; MAURANO, L. E.	
Título: 	Understanding the dynamic of tropical agriculture for remote sensing applications: a case study of southeastern Brazil.	
Ano de publicação: 	2019	
Fonte/Imprenta: 	In: INTERNATIONAL WORKSCHOP EARTH OBSERVATIONS FOR AGRICULTURAL MONITORING, 1., 2019, Delhi, India. Abstracts... Delhi: GEOGLAM, 2019.	
Idioma: 	Inglês	
Conteúdo: 	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.	
Palavras-Chave: 	Monitoring; multiespectral; NDVI; optical sensor; RGB false composition; Satellite image.	
Categoria do assunto: 	P Recursos Naturais, Ciências Ambientais e da Terra	
URL: 	http://intranetdoc.epagri.sc.gov.br/producao_tecnico_cientifica/DOC_42225.pdf	
Registro original: 	Epagri-Sede (Epagri-Sede)	
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