Title:	Utilização de índices de vegetação para identificação de ambientes de produção de cana-de-açúcar
Other Titles:	Use of vegetation indexes for identification environments of production for sugarcane
Authors:	Maia, Felipe Cardoso de Oliveira
Orientador(es)::	Leão, Tairone Paiva
Coorientador(es)::	Bufon, Vinicius Bof
Assunto::	Cana-de-açúcar - produtividade Sensoriamento remoto Índices de vegetação
Issue Date:	26-Aug-2019
Data de defesa::	25-Feb-2019
Citation:	MAIA, Felipe Cardoso de Oliveira. Utilização de índices de vegetação para identificação de ambientes de produção de cana-de-açúcar. 2019. xvii, 73 f., il. Dissertação (Mestrado em Agronomia)—Universidade de Brasília, Brasília, 2019.
Abstract:	Historically, most of the Brazilian sugarcane production was concentrated in the Southeast region, mainly on the Atlantic Forest biome in the state of São Paulo. However, in the last two decades, sugarcane production has been rapidly introduced in the Cerrado, the second largest biome in South America and covers approximately 25% of the country, including an important fraction of São Paulo state. This biome was initially considered unsuitable for agriculture due to its poor soils fertility. However, research and technological development, together with a landscape very favorable to agricultural mechanization, allowed the Cerrado biome to become one of the most productive regions of the country and the globe. The understanding of the edaphoclimatic characteristics of a given region and its interactions are essential for defining the production environment and adoption of proper management strategies. The intensive demand of time, labor and cost to characterize the production environment, currently carried out by conventional soil sampling, is a great challenge. Therefore, it is indispensable the development of methods and tools to characterize the sugarcane production environment faster and with lower operational costs. The remote sensing, through vegetation index analysis, could be an alternative to substitute or support the conventional method interpretating and the environment production potencial. Thus, the objective of this study was to assess the suitability of vegetation indexes to distinguish environments of sugarcane production. It was also evaluated the most favorable crop age and weather season for maximum vegetation index differences between production environments. The work was carried analysing the sugarcane production environments of the Boa Vista Sugarmill, in the municipality of Quirinópolis - GO. Historical data from three agricultural years were used. The composition of NDVI and EVI2 vegetation indexes were calculated for 14 images of the Sentinel-2A satellite. The vegetation index for each image was than compared to the actual production environment, through a vector layer (shapefile) built by the sugarmill using the conventional method. The NDVI was not correlated to the production environments. The EVI2 was able to distinguish the biomass of different production environments. The greatest differences between average vegetation index values and, therefore, the best found strategy to distinguish sugarcane production environments using remote sensing was using the EVI2 for sugarcane fields with age between 180 and 240 days in the rainy season.
metadata.dc.description.unidade:	Faculdade de Agronomia e Medicina Veterinária (FAV)
Description:	Dissertação (mestrado)—Universidade de Brasília, Faculdade de Agronomia e Medicina Veterinária, Programa de Pós-Graduação em Agronomia, 2019.
metadata.dc.description.ppg:	Programa de Pós-Graduação em Agronomia
Licença::	A concessão da licença deste item refere-se ao termo de autorização impresso assinado pelo autor com as seguintes condições: Na qualidade de titular dos direitos de autor da publicação, autorizo a Universidade de Brasília e o IBICT a disponibilizar por meio dos sites www.bce.unb.br, www.ibict.br, http://hercules.vtls.com/cgi-bin/ndltd/chameleon?lng=pt&skin=ndltd sem ressarcimento dos direitos autorais, de acordo com a Lei nº 9610/98, o texto integral da obra disponibilizada, conforme permissões assinaladas, para fins de leitura, impressão e/ou download, a título de divulgação da produção científica brasileira, a partir desta data.
Agência financiadora:	Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).
Appears in Collections:	Teses, dissertações e produtos pós-doutorado

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