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Search.setIndex({"alltitles": {"1\u00b0 M\u00f3dulo": [[42, "modulo"], [95, "modulo"]], "2\u00b0 M\u00f3dulo": [[43, "modulo"], [96, "modulo"]], "AMAZONIA-1": [[114, "amazonia-1"]], "Acesso a S\u00e9ries Temporais com o sits": [[174, "acesso-a-series-temporais-com-o-sits"]], "Acesso e visualiza\u00e7\u00e3o de dados de observa\u00e7\u00e3o da Terra do projeto Brasil Data Cube em linguagem Python": [[150, "acesso-e-visualizacao-de-dados-de-observacao-da-terra-do-projeto-brasil-data-cube-em-linguagem-python"]], "Acesso \u00e0 provedores de s\u00e9ries temporais": [[174, "acesso-a-provedores-de-series-temporais"]], "Acrescentando o Reposit\u00f3rio do PostgreSQL no Sistema de Pacotes do Ubuntu": [[163, "acrescentando-o-repositorio-do-postgresql-no-sistema-de-pacotes-do-ubuntu"]], "Acrescentando o Reposit\u00f3rio do QGIS no Sistema de Pacotes do Ubuntu": [[166, "acrescentando-o-repositorio-do-qgis-no-sistema-de-pacotes-do-ubuntu"]], "Adding a ODC Data Product": [[12, "adding-a-odc-data-product"]], "Additional Features": [[2, "additional-features"], [4, "additional-features"], [5, "additional-features"], [6, "additional-features"], [7, "additional-features"], [8, "additional-features"], [9, "additional-features"]], "Amostras e uso dos servi\u00e7os em Python - Dia 30/08/2022 - Ter\u00e7a Feira": [[126, "amostras-e-uso-dos-servicos-em-python-dia-30-08-2022-terca-feira"]], "Aplicativos Desktop": [[171, "aplicativos-desktop"]], "Applications": [[26, "applications"]], "Aquisi\u00e7\u00e3o de imagens e quantiza\u00e7\u00e3o": [[155, "aquisicao-de-imagens-e-quantizacao"]], "Atividades com o QGIS": [[171, "atividades-com-o-qgis"]], "Atmospheric Correction": [[116, "atmospheric-correction"]], "Atribui\u00e7\u00e3o de classes por threshold (limiariza\u00e7\u00e3o)": [[156, "atribuicao-de-classes-por-threshold-limiarizacao"]], "Avalia\u00e7\u00e3o da qualidade das amostras usando SOM clustering": [[180, "avaliacao-da-qualidade-das-amostras-usando-som-clustering"]], "BDC Available Data Products": [[60, "bdc-available-data-products"]], "BDC Concepts": [[113, "bdc-concepts"]], "BDC Grid System (V1)": [[111, "bdc-grid-system-v1"]], "BDC Grid System (V2)": [[111, "bdc-grid-system-v2"]], "BDC Grids": [[111, "bdc-grids"]], "BDC Input Data": [[114, "bdc-input-data"]], "BDC Naming": [[115, "bdc-naming"]], "BDC Processing Flow": [[116, "bdc-processing-flow"], [151, "bdc-processing-flow"]], "BDC Product Access": [[117, "bdc-product-access"]], "Bancos de Dados Geogr\u00e1ficos": [[170, "bancos-de-dados-geograficos"]], "Bancos de Dados Geogr\u00e1ficos com o PostGIS": [[170, "bancos-de-dados-geograficos-com-o-postgis"]], "Brazil Data Cube (BDC)": [[42, "brazil-data-cube-bdc"]], "Brazil Data Cube Documentation": [[44, "brazil-data-cube-documentation"]], "CAP-394 - Introdu\u00e7\u00e3o a Data Science (2020)": [[35, "cap-394-introducao-a-data-science-2020"]], "CB4MUX_20_1M_STK-1": [[70, "cb4mux-20-1m-stk-1"]], "CB4_64_16D_STK-1": [[71, "cb4-64-16d-stk-1"]], "CBERS-4": [[114, "cbers-4"]], "CBERS-4A": [[114, "cbers-4a"]], "CBERS-WFI-8D-1": [[63, "cbers-wfi-8d-1"]], "CBERS4-MUX-2M-1": [[64, "cbers4-mux-2m-1"]], "CBERS4-WFI-16D-2": [[65, "cbers4-wfi-16d-2"]], "CBERS4A_WFI_L4_SR-1": [[80, "cbers4a-wfi-l4-sr-1"]], "CBERS4_AWFI_L4_SR-1": [[82, "cbers4-awfi-l4-sr-1"]], "CBERS4_MUX_L4_SR-1": [[81, "cbers4-mux-l4-sr-1"]], "CLEAROB": [[103, "clearob"]], "CMASK": [[104, "cmask"]], "Carregando a Extens\u00e3o PostGIS": [[170, "carregando-a-extensao-postgis"]], "Classifications": [[61, "classifications"]], "Classifica\u00e7\u00e3o de S\u00e9ries Temporais": [[177, "classificacao-de-series-temporais"]], "Classifica\u00e7\u00e3o de bricks e gera\u00e7\u00e3o de mapas": [[176, "classificacao-de-bricks-e-geracao-de-mapas"]], "Cloud Masking": [[116, "cloud-masking"]], "Composi\u00e7\u00e3o Temporal": [[56, "composicao-temporal"], [189, "composicao-temporal"]], "Configura\u00e7\u00f5es no Kaggle": [[41, "configuracoes-no-kaggle"], [58, "configuracoes-no-kaggle"], [94, "configuracoes-no-kaggle"], [99, "configuracoes-no-kaggle"], [160, "configuracoes-no-kaggle"], [190, "configuracoes-no-kaggle"], [193, "configuracoes-no-kaggle"]], "Configuring the ODC-Core": [[13, "configuring-the-odc-core"]], "Consultando a documenta\u00e7\u00e3o do sits": [[177, "consultando-a-documentacao-do-sits"]], "Consultas Espaciais": [[170, "consultas-espaciais"]], "Contact": [[34, "contact"]], "Contato": [[48, "contato"]], "Contextualization": [[26, "contextualization"]], "Corre\u00e7\u00e3o Atmosf\u00e9rica": [[56, "correcao-atmosferica"], [189, "correcao-atmosferica"]], "Course Information": [[37, "course-information"]], "Create Token": [[8, "create-token"]], "Creating Docker Images for the ODC Environment": [[17, "creating-docker-images-for-the-odc-environment"]], "Creating the Datasets Metadata": [[16, "creating-the-datasets-metadata"]], "Cria\u00e7\u00e3o de cubos de dados no SITS": [[133, "criacao-de-cubos-de-dados-no-sits"]], "Cubos de dados de Observa\u00e7\u00e3o da Terra": [[50, "cubos-de-dados-de-observacao-da-terra"], [185, "cubos-de-dados-de-observacao-da-terra"]], "Curso": [[48, "curso"]], "DATASOURCE": [[105, "datasource"]], "Dados Curso": [[159, "dados-curso"]], "Dados de Entrada": [[151, "dados-de-entrada"], [184, "dados-de-entrada"]], "Data Cube Builder": [[56, "data-cube-builder"], [116, "data-cube-builder"], [189, "data-cube-builder"]], "Data Cube Collection File Naming": [[115, "data-cube-collection-file-naming"]], "Data Cube Collection Naming": [[115, "data-cube-collection-naming"]], "Data Cube Collections": [[62, "data-cube-collections"]], "Data Cube Explorer": [[1, "data-cube-explorer"]], "Data Ingestion": [[18, "data-ingestion"]], "Deprecated Data Cube Collections": [[69, "deprecated-data-cube-collections"]], "Deprecated Image Collections": [[88, "deprecated-image-collections"]], "Descobrindo sua Vers\u00e3o do Linux Ubuntu": [[166, "descobrindo-sua-versao-do-linux-ubuntu"]], "Diagrama de dispers\u00e3o (Scatterplot)": [[156, "diagrama-de-dispersao-scatterplot"]], "Diferen\u00e7a entre Imagens": [[152, "diferenca-entre-imagens"]], "Documentation:": [[44, null]], "Download": [[2, "download"]], "Download Features": [[2, "download-features"]], "Efeitos de ru\u00eddo de classe na classifica\u00e7\u00e3o": [[180, "efeitos-de-ruido-de-classe-na-classificacao"]], "Ementa": [[48, "ementa"]], "Estima\u00e7\u00e3o de acur\u00e1cia": [[175, "estimacao-de-acuracia"]], "Exemplo acesso servi\u00e7o SATVeg": [[176, "exemplo-acesso-servico-satveg"]], "Exemplo acesso/classifica\u00e7\u00e3o de brick local": [[176, "exemplo-acesso-classificacao-de-brick-local"]], "Exemplo com Deep Learning MLP": [[177, "exemplo-com-deep-learning-mlp"]], "Exemplo com Random Forests": [[177, "exemplo-com-random-forests"]], "FMASK": [[106, "fmask"]], "FOSS4G 2024": [[36, "foss4g-2024"]], "Filtrando uma tabela de amostras": [[174, "filtrando-uma-tabela-de-amostras"]], "Fluxo de Processamento dos dados do BDC": [[56, "fluxo-de-processamento-dos-dados-do-bdc"], [189, "fluxo-de-processamento-dos-dados-do-bdc"]], "Formato da tabela de dados de amostras no sits": [[174, "formato-da-tabela-de-dados-de-amostras-no-sits"]], "Formato de arquivo CSV para acesso em lote a s\u00e9ries temporais": [[174, "formato-de-arquivo-csv-para-acesso-em-lote-a-series-temporais"]], "Fundamentos de cor": [[51, "fundamentos-de-cor"], [155, "fundamentos-de-cor"], [186, "fundamentos-de-cor"]], "Fundamentos sobre imagens": [[51, "fundamentos-sobre-imagens"], [186, "fundamentos-sobre-imagens"]], "General Information:": [[44, null]], "Gerando gr\u00e1ficos das s\u00e9ries temporais": [[174, "gerando-graficos-das-series-temporais"]], "Grades BDC": [[56, "grades-bdc"], [189, "grades-bdc"]], "Grid Generation": [[111, "grid-generation"], [111, "id1"]], "Histograma": [[156, "histograma"]], "IBGE 2021 - Workshop Brazil Data Cube com IBGE": [[39, "ibge-2021-workshop-brazil-data-cube-com-ibge"]], "ISPRS 2024": [[45, "isprs-2024"]], "Image Acquisition": [[116, "image-acquisition"]], "Image Collection Builder": [[116, "image-collection-builder"]], "Image Collection builder": [[56, "image-collection-builder"], [189, "image-collection-builder"]], "Image Collections": [[79, "image-collections"]], "Imagens Coloridas": [[51, "imagens-coloridas"], [155, "imagens-coloridas"], [186, "imagens-coloridas"]], "Importando Camadas para o PostgreSQL/PostGIS": [[170, "importando-camadas-para-o-postgresql-postgis"]], "Informa\u00e7\u00f5es sobre o curso": [[40, "informacoes-sobre-o-curso"], [46, "informacoes-sobre-o-curso"], [48, "informacoes-sobre-o-curso"], [93, "informacoes-sobre-o-curso"], [98, "informacoes-sobre-o-curso"], [119, "informacoes-sobre-o-curso"], [131, "informacoes-sobre-o-curso"], [142, "informacoes-sobre-o-curso"], [157, "informacoes-sobre-o-curso"], [183, "informacoes-sobre-o-curso"], [192, "informacoes-sobre-o-curso"], [195, "informacoes-sobre-o-curso"]], "Iniciativas de cubos de dados": [[50, "iniciativas-de-cubos-de-dados"], [185, "iniciativas-de-cubos-de-dados"]], "Instalando o PostgreSQL e PostGIS": [[161, "instalando-o-postgresql-e-postgis"]], "Instalando o QGIS": [[162, "instalando-o-qgis"]], "Instalando o pacote sits": [[178, "instalando-o-pacote-sits"]], "Instala\u00e7\u00e3o da Vers\u00e3o 3.4.x LTR": [[166, "instalacao-da-versao-3-4-x-ltr"]], "Instala\u00e7\u00e3o da Vers\u00e3o PostgreSQL 11": [[163, "instalacao-da-versao-postgresql-11"]], "Instala\u00e7\u00e3o da extens\u00e3o PostGIS": [[163, "instalacao-da-extensao-postgis"]], "Instala\u00e7\u00e3o do PostGIS 2.5": [[165, "instalacao-do-postgis-2-5"]], "Instala\u00e7\u00e3o do PostgreSQL 11.6": [[165, "instalacao-do-postgresql-11-6"]], "Instala\u00e7\u00e3o do PostgreSQL e PostGIS para Linux (Ubuntu)": [[163, "instalacao-do-postgresql-e-postgis-para-linux-ubuntu"]], "Instala\u00e7\u00e3o do PostgreSQL e PostGIS para macOS": [[164, "instalacao-do-postgresql-e-postgis-para-macos"]], "Instala\u00e7\u00e3o do PostgreSQL/PostGIS para Microsoft Windows 10": [[165, "instalacao-do-postgresql-postgis-para-microsoft-windows-10"]], "Instala\u00e7\u00e3o do QGIS para Linux Ubuntu": [[166, "instalacao-do-qgis-para-linux-ubuntu"]], "Instala\u00e7\u00e3o do QGIS para Microsoft Windows 10": [[168, "instalacao-do-qgis-para-microsoft-windows-10"]], "Instala\u00e7\u00e3o do QGIS para macOS": [[167, "instalacao-do-qgis-para-macos"]], "Instru\u00e7\u00f5es de instala\u00e7\u00e3o do sits em R Notebooks do Kaggle": [[178, "instrucoes-de-instalacao-do-sits-em-r-notebooks-do-kaggle"]], "Instru\u00e7\u00f5es de instala\u00e7\u00e3o do sits numa m\u00e1quina local": [[178, "instrucoes-de-instalacao-do-sits-numa-maquina-local"]], "Interface comum e fun\u00e7\u00f5es de machine learning do sits": [[177, "interface-comum-e-funcoes-de-machine-learning-do-sits"]], "Introdu\u00e7\u00e3o": [[172, "introducao"], [179, "introducao"], [180, "introducao"]], "Introdu\u00e7\u00e3o Brazil Data Cube": [[52, "introducao-brazil-data-cube"], [154, "introducao-brazil-data-cube"], [187, "introducao-brazil-data-cube"]], "Introdu\u00e7\u00e3o a Geoinform\u00e1tica e Sistemas de Informa\u00e7\u00e3o Geogr\u00e1fica": [[169, "introducao-a-geoinformatica-e-sistemas-de-informacao-geografica"]], "Introdu\u00e7\u00e3o a s\u00e9ries temporais de imagens de sat\u00e9lites": [[179, "introducao-a-series-temporais-de-imagens-de-satelites"]], "Introdu\u00e7\u00e3o a s\u00e9ries temporais de imagens de sensoriamento remoto e aplica\u00e7\u00f5es de Machine Learning": [[173, "introducao-a-series-temporais-de-imagens-de-sensoriamento-remoto-e-aplicacoes-de-machine-learning"]], "Introdu\u00e7\u00e3o ao Brazil Data Cube (BDC)": [[49, "introducao-ao-brazil-data-cube-bdc"]], "Introdu\u00e7\u00e3o ao SITS": [[49, "introducao-ao-sits"], [133, "introducao-ao-sits"]], "Introdu\u00e7\u00e3o ao STAC e WTSS": [[182, "introducao-ao-stac-e-wtss"]], "Introdu\u00e7\u00e3o ao mapeamento de uso e cobertura da terra usando s\u00e9ries temporais de imagens de sat\u00e9lite": [[49, "introducao-ao-mapeamento-de-uso-e-cobertura-da-terra-usando-series-temporais-de-imagens-de-satelite"], [53, "introducao-ao-mapeamento-de-uso-e-cobertura-da-terra-usando-series-temporais-de-imagens-de-satelite"]], "Introdu\u00e7\u00e3o ao pacote SITS em R": [[122, "introducao-ao-pacote-sits-em-r"]], "Introdu\u00e7\u00e3o ao projeto Brazil Data Cube - Dia 28/08/2023 - Segunda-feira": [[136, "introducao-ao-projeto-brazil-data-cube-dia-28-08-2023-segunda-feira"]], "Introdu\u00e7\u00e3o ao projeto Brazil Data Cube - Dia 29/08/2022 - Segunda Feira": [[125, "introducao-ao-projeto-brazil-data-cube-dia-29-08-2022-segunda-feira"]], "Introdu\u00e7\u00e3o ao projeto Brazil Data Cube e Produtos de dados": [[144, "introducao-ao-projeto-brazil-data-cube-e-produtos-de-dados"]], "Introdu\u00e7\u00e3o aos servi\u00e7os STAC, WTSS e WLTS": [[49, "introducao-aos-servicos-stac-wtss-e-wlts"]], "Jupyter Notebooks": [[22, "jupyter-notebooks"], [25, "jupyter-notebooks"], [31, "jupyter-notebooks"], [38, "jupyter-notebooks"], [47, "jupyter-notebooks"], [196, "jupyter-notebooks"]], "LANDSAT-16D-1": [[66, "landsat-16d-1"]], "LANDSAT-2M-1": [[72, "landsat-2m-1"]], "LANDSAT-MOZ_30_1M_STK-1": [[67, "landsat-moz-30-1m-stk-1"]], "LANDSAT_SR-2": [[84, "landsat-sr-2"]], "LC8_30_16D_STK-1": [[73, "lc8-30-16d-stk-1"]], "LC8_DN-1": [[85, "lc8-dn-1"]], "LC8_SR-1": [[86, "lc8-sr-1"]], "Land Trajectory": [[9, "land-trajectory"]], "Land Trajectory Features": [[9, "land-trajectory-features"]], "Landsat-8": [[114, "landsat-8"]], "Layers": [[3, "layers"]], "Layers Features": [[3, "layers-features"]], "License": [[59, "license"]], "MODIS": [[114, "modis"]], "Machine Learning": [[177, "machine-learning"]], "Manh\u00e3": [[100, "manha"]], "Mapeamento de uso e cobertura da terra": [[179, "mapeamento-de-uso-e-cobertura-da-terra"]], "Materiais completares - Dia 3": [[133, "materiais-completares-dia-3"]], "Materiais completares - Dia 4": [[134, "materiais-completares-dia-4"]], "Materiais completares - Dia 5": [[135, "materiais-completares-dia-5"]], "Matriz de Confus\u00e3o": [[175, "matriz-de-confusao"]], "Mosaics": [[90, "mosaics"]], "M\u00e1scaras de Nuvens": [[56, "mascaras-de-nuvens"], [189, "mascaras-de-nuvens"]], "M\u00e9todo SOM para identifica\u00e7\u00e3o de ru\u00eddo de classe": [[180, "metodo-som-para-identificacao-de-ruido-de-classe"]], "Normalized Difference Vegetation Index (NDVI):": [[153, "normalized-difference-vegetation-index-ndvi"]], "Notebook Aplicando Threshold": [[156, "notebook-aplicando-threshold"]], "Notebook C\u00e1lculo NDVI": [[153, "notebook-calculo-ndvi"]], "Notebook Plot de imagem": [[155, "notebook-plot-de-imagem"]], "Notebooks": [[188, "notebooks"]], "Notebooks Python do servi\u00e7o STAC": [[120, "notebooks-python-do-servico-stac"]], "Notebooks Python dos Servi\u00e7os do dia 2": [[121, "notebooks-python-dos-servicos-do-dia-2"]], "Notebooks R Pacote SITS (dia 4)": [[123, "notebooks-r-pacote-sits-dia-4"]], "Notebooks R Pacote SITS (dia 5)": [[124, "notebooks-r-pacote-sits-dia-5"]], "Notebooks R dos Servi\u00e7os e Pacotes do dia 3": [[122, "notebooks-r-dos-servicos-e-pacotes-do-dia-3"]], "Notebooks SITS": [[55, "notebooks-sits"]], "Notebooks em Python dos servi\u00e7os": [[143, "notebooks-em-python-dos-servicos"]], "Notebooks em R dos servi\u00e7os do dia 2": [[132, "notebooks-em-r-dos-servicos-do-dia-2"]], "Notebooks servi\u00e7os BDC": [[54, "notebooks-servicos-bdc"]], "Obtendo informa\u00e7\u00f5es de uma tabela de amostras": [[174, "obtendo-informacoes-de-uma-tabela-de-amostras"]], "Open Data Cube (ODC)": [[11, "open-data-cube-odc"]], "Overview": [[26, "overview"]], "PROVENANCE": [[107, "provenance"]], "Pacote sits": [[179, "pacote-sits"]], "Parte 1 - Introdu\u00e7\u00e3o ao sits": [[123, "parte-1-introducao-ao-sits"]], "Parte 2 - Cria\u00e7\u00e3o de cubos de dados no sits": [[123, "parte-2-criacao-de-cubos-de-dados-no-sits"]], "Parte 3 - Trabahando com s\u00e9ries temporais": [[134, "parte-3-trabahando-com-series-temporais"]], "Parte 3 - Trabalhando com s\u00e9ries temporais no sits": [[123, "parte-3-trabalhando-com-series-temporais-no-sits"]], "Parte 4 - Classifica\u00e7\u00e3o de imagens em cubos de dados": [[124, "parte-4-classificacao-de-imagens-em-cubos-de-dados"]], "Parte 4 - Classifica\u00e7\u00e3o de imagens em cubos de dados com GPU": [[135, "parte-4-classificacao-de-imagens-em-cubos-de-dados-com-gpu"]], "Parte 5 - Aprendizado de m\u00e1quina em cubos de dados": [[124, "parte-5-aprendizado-de-maquina-em-cubos-de-dados"], [135, "parte-5-aprendizado-de-maquina-em-cubos-de-dados"]], "Parte 6 - Controle de qualidade de amostras no sits": [[124, "parte-6-controle-de-qualidade-de-amostras-no-sits"]], "Perfil espectro-temporal de uso e cobertura da terra": [[179, "perfil-espectro-temporal-de-uso-e-cobertura-da-terra"]], "Pesquisas em 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(STAC)", "Python Client Library", "Jupyter Notebooks", "Web Land Trajectory Service (WLTS)", "Python Client Library", "Jupyter Notebooks", "Overview", "Retrieving Trajectory", "Service Overview", "Web Time Series Services (WTSS)", "Python Client Library", "Jupyter Notebooks", "Retrieving a Time Series", "Service Overview", "Contact", "CAP-394 - Introdu\u00e7\u00e3o a Data Science (2020)", "FOSS4G 2024", "Course Information", "Jupyter Notebooks", "IBGE 2021 - Workshop Brazil Data Cube com IBGE", "Informa\u00e7\u00f5es sobre o curso", "Prepara\u00e7\u00e3o para o Curso", "1\u00b0 M\u00f3dulo", "2\u00b0 M\u00f3dulo", "Brazil Data Cube Documentation", "ISPRS 2024", "Informa\u00e7\u00f5es sobre o curso", "Jupyter Notebooks", "XIII Jornada de Educa\u00e7\u00e3o em Sensoriamento Remoto no \u00c2mbito do Mercosul", "Sum\u00e1rio", "Cubos de dados de Observa\u00e7\u00e3o da Terra", "Fundamentos sobre imagens", "Introdu\u00e7\u00e3o Brazil Data Cube", "Introdu\u00e7\u00e3o ao mapeamento de uso e cobertura da terra usando s\u00e9ries temporais de imagens de sat\u00e9lite", "Notebooks servi\u00e7os BDC", "Notebooks SITS", "Fluxo de Processamento dos dados do BDC", "Terra Collect", "Prepara\u00e7\u00e3o para o Curso", "License", "BDC Available Data Products", "Classifications", "Data Cube Collections", "CBERS-WFI-8D-1", "CBERS4-MUX-2M-1", "CBERS4-WFI-16D-2", "LANDSAT-16D-1", "LANDSAT-MOZ_30_1M_STK-1", "S2-16D-2", "Deprecated Data Cube Collections", "CB4MUX_20_1M_STK-1", "CB4_64_16D_STK-1", "LANDSAT-2M-1", "LC8_30_16D_STK-1", "S2-SEN2COR_10_16D_STK-1", "mod13q1-6.0", "myd13q1-6.0", "mod13q1-6.1", "myd13q1-6.1", "Image Collections", "CBERS4A_WFI_L4_SR-1", "CBERS4_MUX_L4_SR-1", "CBERS4_AWFI_L4_SR-1", "S2_L2A-1", "LANDSAT_SR-2", "LC8_DN-1", "LC8_SR-1", "S2_L1C-1", "Deprecated Image Collections", "landsat-2", "Mosaics", "References", "SBSR Interim 2021 - Simp\u00f3sio Brasileiro de Sensoriamento Remoto", "Informa\u00e7\u00f5es sobre o curso", "Prepara\u00e7\u00e3o para o Curso", "1\u00b0 M\u00f3dulo", "2\u00b0 M\u00f3dulo", "SBSR 2023 - Simp\u00f3sio Brasileiro de Sensoriamento Remoto", "Informa\u00e7\u00f5es sobre o curso", "Prepara\u00e7\u00e3o para o Curso", "Manh\u00e3", "Tarde", "Specifications", "CLEAROB", "CMASK", "DATASOURCE", "FMASK", "PROVENANCE", "QA", "SCL", "TOTALOB", "BDC Grids", "Projection used by BDC", "BDC Concepts", "BDC Input Data", "BDC Naming", "BDC Processing Flow", "BDC Product Access", "Treinamento BDC 2022", "Informa\u00e7\u00f5es sobre o curso", "Notebooks Python do servi\u00e7o STAC", "Notebooks Python dos Servi\u00e7os do dia 2", "Notebooks R dos Servi\u00e7os e Pacotes do dia 3", "Notebooks R Pacote SITS (dia 4)", "Notebooks R Pacote SITS (dia 5)", "Introdu\u00e7\u00e3o ao projeto Brazil Data Cube - Dia 29/08/2022 - Segunda Feira", "Amostras e uso dos servi\u00e7os em Python - Dia 30/08/2022 - Ter\u00e7a Feira", "Uso dos servi\u00e7os em R - Dia 31/08/2022 - Quarta Feira", "SITS R Package - Dia 01/09/2022 - Quinta Feira", "SITS R Package - Dia 01/09/2022 - Sexta Feira", "Treinamento PRODES 2023", "Informa\u00e7\u00f5es sobre o curso", "Notebooks em R dos servi\u00e7os do dia 2", "Materiais completares - Dia 3", "Materiais completares - Dia 4", "Materiais completares - Dia 5", "Introdu\u00e7\u00e3o ao projeto Brazil Data Cube - Dia 28/08/2023 - Segunda-feira", "Servi\u00e7os e plataformas do BDC - Dia 29/08/2023 - Ter\u00e7a-feira", "SITS R Package- Dia 30/08/2023 - Quarta-feira", "SITS R Package- Dia 31/08/2023 - Quinta-feira", "SITS R Package - Dia 01/09/2023 - Sexta-feira", "Treinamento PRODES 2024", "Informa\u00e7\u00f5es sobre o curso", "Notebooks em Python dos servi\u00e7os", "Introdu\u00e7\u00e3o ao projeto Brazil Data Cube e Produtos de dados", "Servi\u00e7os de descoberta, acesso e an\u00e1lise (STAC, WTSS, WLTS), BDCExplorer, TerraCollect", "Pesquisas em Andamento", "SITS R Package", "SITS R Package", "WorCAP 2020 - Geoinform\u00e1tica com Aplica\u00e7\u00f5es de Machine Learning", "Acesso e 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