@MastersThesis{Nunes:2023:PrInSi,
               author = "Nunes, Yuri Domaradzki Moreira",
                title = "Proposta de integra{\c{c}}{\~a}o do sistema de monitoramento e 
                         mapeamento de cultivo Sen2-Agri e a plataforma Brazil Data Cube",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2023",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2023-03-30",
             keywords = "sensoriamento remoto, dados de observa{\c{c}}{\~a}o da terra, 
                         brazil data cube, sen2-agri, mapas para aplica{\c{c}}{\~o}es 
                         agr{\'{\i}}colas, remote sensing, earth observation data, brazil 
                         data cube, sen2-Agri, maps for agricultural applications.",
             abstract = "Os avan{\c{c}}os nas tecnologias de sensoriamento remoto 
                         possibilitaram a aquisi{\c{c}}{\~a}o de grandes volumes de dados 
                         de Observa{\c{c}}{\~a}o da Terra (EO) com melhor 
                         resolu{\c{c}}{\~a}o espacial e taxa de revisita, aumentando o 
                         n{\'{\i}}vel de detalhamento da superf{\'{\i}}cie terrestre. 
                         Al{\'e}m disso, a ado{\c{c}}{\~a}o de pol{\'{\i}}ticas 
                         abertas para o compartilhamento desses dados impulsionaram o 
                         desenvolvimento de pacotes de software, servi{\c{c}}os web e 
                         plataformas de processamento para extrair informa{\c{c}}{\~o}es 
                         desses grandes volumes de dados. Com isso, aplica{\c{c}}{\~o}es 
                         s{\~a}o desenvolvidas com diversos temas, como, por exemplo, para 
                         desenvolver sistemas de monitoramento de atividades 
                         agr{\'{\i}}colas. As imagens obtidas pela miss{\~a}o Sentinel-2 
                         e o pacote de software Sen2-Agri permitem a gera{\c{c}}{\~a}o de 
                         mapas sobre diferentes aspectos das culturas e {\'a}reas 
                         cultivadas, que podem ser usados para a implementa{\c{c}}{\~a}o 
                         de sistemas de monitoramento agr{\'{\i}}cola. Por outro lado, a 
                         plataforma Brazil Data Cube (BDC) fornece um ambiente de acesso, 
                         visualiza{\c{c}}{\~a}o e processamento de cubos de dados de 
                         imagens de v{\'a}rios sensores para toda a extens{\~a}o do 
                         territ{\'o}rio brasileiro. Este trabalho prop{\~o}e o 
                         desenvolvimento de uma arquitetura de integra{\c{c}}{\~a}o do 
                         Sen2-Agri com a plataforma BDC a fim de aproveitar este grande 
                         reposit{\'o}rio de imagens sobre o Brasil para a tem{\'a}tica de 
                         monitoramento de safras agr{\'{\i}}colas. Um estudo de caso foi 
                         conduzido para a regi{\~a}o de Lu{\'{\i}}s Eduardo 
                         Magalh{\~a}es para validar a arquitetura de 
                         integra{\c{c}}{\~a}o proposta. Os resultados mostram a 
                         viabilidade e as vantagens desta integra{\c{c}}{\~a}o, 
                         atrav{\'e}s de um servi{\c{c}}o web que fornece uma interface 
                         amig{\'a}vel para acessar as melhores recursos de ambos os 
                         sistemas. ABSTRACT: Advances in remote sensing technologies have 
                         enabled the acquisition of large volumes of Earth Observation (EO) 
                         data with better spatial resolution and revisit rate, increasing 
                         the level of detail on the Earths surface. In addition, the 
                         adoption of open policies for sharing this data has driven the 
                         development of software packages, web services and processing 
                         platforms for extracting information from these large volumes of 
                         data. With this, applications are developed in various themes, 
                         such as, for example, to develop monitoring systems for 
                         agricultural activities. The images obtained by the Sentinel-2 
                         mission and the Sen2-Agri software package allow the generation of 
                         maps on different aspects of crops and cultivated areas, which can 
                         be used for the implementation of agricultural monitoring systems. 
                         On the other hand, the Brazil Data Cube (BDC) platform provides an 
                         environment for accessing, visualizing, and processing image data 
                         cubes from various sensors for the entire extension of the 
                         Brazilian territory. This work proposes the development of an 
                         integration architecture of Sen2-Agri with the BDC platform in 
                         order to take advantage of this large repository of images about 
                         Brazil in the theme of monitoring agricultural crops. A case study 
                         for the region of Lu{\'{\i}}s Eduardo Magalh{\~a}es was 
                         conducted to validate the proposed integration architecture. The 
                         results show the feasibility and advantages of this integration, 
                         through a web service that exposes a friendly interface to access 
                         the best features of both systems.",
            committee = "Queiroz, Gilberto Ribeiro de (presidente) and Vinhas, Lubia 
                         (orientadora) and Fook, Karla Donato",
         englishtitle = "Proposal for the integration of the Sen2-Agri crop monitoring and 
                         mapping system to the Brazil Data Cube platform",
             language = "pt",
                pages = "74",
                  ibi = "8JMKD3MGP3W34T/48UURQH",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34T/48UURQH",
           targetfile = "publicacao.pdf",
        urlaccessdate = "11 maio 2024"
}