Comportamento espectral das culturas de milho, arroz e soja, usando imagens dos Satélites Sentinel-2, CBERS-4 e LANDSAT-8

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dc.contributor.advisorPamboukian, Sergio Vicente Denser
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/4714240398706670por
dc.contributor.authorValencia, Lady Victoria Angulo
dc.creator.Latteshttp://lattes.cnpq.br/2326481087803286por
dc.date.accessioned2020-10-28T15:42:02Z
dc.date.accessioned2020-12-07T15:09:08Z
dc.date.available2020-12-07T15:09:08Z
dc.date.issued2020-02-03
dc.description.abstractMonitoring crop status at regional level is critical in the pursuit of sustainable Agricultural Management. One of the methodologies applied for this purpose is Precision Farming which together with the technological tools and equipment (Global Navigation Satellite Systems, Remote Sensing, Geographic Information Systems and Unmanned Aerial Vehicles) form an integrated agricultural system based on information of crop production and evolution. Since the 1970s, marked by the launch of the Landsat-1 satellite platform, the study of crop status has been defined by the relationship between the interaction of electromagnetic radiation in soil and vegetation and its response over different wavelength ranges (measured by reflectance) related to the leaf chemical composition of the crops. In this research, we analyzed the spectral signatures (wavelength-related spectral reflectance values) and the main vegetation indices (NDVI, GNDVI, SAVI, EVI) for the Corn, Rice and Soybean crops in a cultivated area of 320 hectares, located in the municipality of Tremembé (SP) for the period from November to March of the 2017/2018 and 2018/2019 cycles, through the use of multispectral images of the Sentinel-2, CBERS-4 and Landsat-8 satellites. The results show higher spectral responses (especially in the RedEdge and Near-InfraRed region) in the soybean crop, followed by rice and corn around 60 to 90 days of sowing and a decrease with the crop approach, which is due to loss nutrients and leaf chlorosis. In addition, a high correlation (0,972) in the enhanced vegetation index (EVI) between CBERS-4 and Landsat-8 satellite images is observed. The vegetation index calculation also shows that the 2018/2019 crop cycle had more homogeneous results and a higher percentage of areas with high values compared to the first cycle. In addition, the studied images show that there is a variation of reflectance due to several factors such as vegetation age, growing season, rainfall, temperature, among others. Nevertheless, reflectance graphs show great potential for monitoring nutrient and water content in crops, as well as vegetation indices indicate a good advantage in input management and field visitseng
dc.description.sponsorOtherPrograma de Alianzas para a Educação e Capacitação –PAEC OEA-GCUBpor
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superiorpor
dc.formatapplication/pdf*
dc.identifier.citationVALENCIA, Lady Victoria Angulo. Comportamento espectral das culturas de milho, arroz e soja, usando imagens dos Satélites Sentinel-2, CBERS-4 e LANDSAT-8. 2020. 118 f. Dissertação (Ciências e Aplicações Geoespaciais) - Universidade Presbiteriana Mackenzie, São Paulo, 2020.por
dc.identifier.urihttp://dspace.mackenzie.br/handle/10899/26595
dc.keywordsearth observation mission from the Copernicus Programme-2 (Sentinel-2)eng
dc.keywordsChina-Brazil earth resources satellite-4 (CBERS-4)eng
dc.keywordsland satellites observation program-8 (landsat-8)eng
dc.keywordsremote sensingeng
dc.keywordsprecision agricultureeng
dc.keywordsspectral signatureseng
dc.keywordsspectral reflectanceeng
dc.keywordsvegetation indiceseng
dc.languageporpor
dc.publisherUniversidade Presbiteriana Mackenziepor
dc.rightsAcesso Abertopor
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectearth observation mission from the Copernicus Programme-2 (sentinel-2)por
dc.subjectChina-Brazil earth resources satellite-4 (CBERS-4)por
dc.subjectland satellites observation program-8 (landsat-8)por
dc.subjectsensoriamento remotopor
dc.subjectagricultura de precisãopor
dc.subjectassinaturas espectraispor
dc.subjectrefletância espectralpor
dc.subjectíndices de vegetaçãopor
dc.subject.cnpqCNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEODESIApor
dc.titleComportamento espectral das culturas de milho, arroz e soja, usando imagens dos Satélites Sentinel-2, CBERS-4 e LANDSAT-8por
dc.typeDissertaçãopor
local.contributor.board1Duro, Magda Aparecida Salgueiro
local.contributor.board1Latteshttp://lattes.cnpq.br/9333405451291669por
local.contributor.board2Araújo, Sidnei Alves de
local.contributor.board2Latteshttp://lattes.cnpq.br/2542529753132844por
local.publisher.countryBrasilpor
local.publisher.departmentEscola de Engenharia Mackenzie (EE)por
local.publisher.initialsUPMpor
local.publisher.programCiências e Aplicações Geoespaciaispor
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