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| This file is part of Brazil Data Cube Documentation. | ||
| Copyright 2020-2024 INPE. | ||
| This program is free software: you can redistribute it and/or modify | ||
| it under the terms of the GNU General Public License as published by | ||
| the Free Software Foundation, either version 3 of the License, or | ||
| (at your option) any later version. | ||
| This program is distributed in the hope that it will be useful, | ||
| but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | ||
| GNU General Public License for more details. | ||
| You should have received a copy of the GNU General Public License | ||
| along with this program. If not, see <https://www.gnu.org/licenses/gpl-3.0.html>. | ||
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| ISPRS 2024 | ||
| ========== | ||
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| .. figure:: /img/isprs-2024/isprs2024.png | ||
| :alt: Banner ISPRS 2024 | ||
| :width: 480 | ||
| :figclass: align-center | ||
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| Período: de 4 a 8 de novembro de 2024 | ||
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| Local: Universidade Federal do Pará (UFPA), em Belém, Brasil. | ||
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| Organização: Technical Commission III Symposium of the International Society for Photogrammetry and Remote Sensing – ISPRS, SELPER Brasil, Société Française de Photogrammétrie et de Télédétection e Universidade Federal do Pará (UFPA). | ||
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| Link para inscrições e mais informações: | ||
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| https://selperbrasil.org.br/events/belem-2024-tc3-symposium/ | ||
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| .. toctree:: | ||
| :maxdepth: 1 | ||
| :titlesonly: | ||
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| ./isprs-2024/course-info | ||
| ./isprs-2024/getting-started | ||
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| Links: | ||
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| - Vídeo: `Projeto Brazil Data Cube e pesquisas em Computação Aplicada - Dra. Karine Reis Ferreira (CAP/INPE) <https://www.youtube.com/watch?v=x1H22k5wR6A>`_. | ||
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| - `Página do Projeto Brazil Data Cube <http://brazildatacube.org/>`_. |
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| .. | ||
| This file is part of Brazil Data Cube Documentation. | ||
| Copyright 2020-2024 INPE. | ||
| This program is free software: you can redistribute it and/or modify | ||
| it under the terms of the GNU General Public License as published by | ||
| the Free Software Foundation, either version 3 of the License, or | ||
| (at your option) any later version. | ||
| This program is distributed in the hope that it will be useful, | ||
| but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | ||
| GNU General Public License for more details. | ||
| You should have received a copy of the GNU General Public License | ||
| along with this program. If not, see <https://www.gnu.org/licenses/gpl-3.0.html>. | ||
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| Informações sobre o curso | ||
| ------------------------- | ||
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| O curso "Cubos de Dados de Observação da Terra e Análise de Séries Temporais de Imagens" terá uma parte teórica e uma parte prática hands-on (na linguagem R e Python) utilizando os cubos de dados e os pacotes de software criados pelo projeto Brazil Data Cube (BDC) (http://brazildatacube.org/). | ||
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| Serão apresentados os produtos gerados pelo BDC, ferramentas para acesso e descoberta desses dados, extração de séries temporais e extração de trajetórias de uso e cobertura da terra. Também será apresentado o pacote SITS (Satellite Image Time Series) em R para geração de mapas de uso e cobertura da terra a partir de séries temporais de imagens usando machine learning e os cubos de dados do projeto BDC. | ||
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| O curso será oferecido em português e os participantes poderão fazer em seus próprios computadores acessando os serviços da plataforma Brazil Data Cube. | ||
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| O conteúdo será ministrado no dia 04 de Novembro de 2024 com a seguinte programação: | ||
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| **04 de Novembro (Segunda feira)**: | ||
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| - Introdução à cubos de dados de observação da Terra e análise de séries temporais | ||
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| - Produtos gerados pelo projeto Brazil Data Cube (BDC) | ||
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| - Plataforma BDC Explorer | ||
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| - Serviços do projeto BDC - STAC, WTSS e WLTS: Ferramentas para descoberta e busca de dados, extração de séries temporais de imagens e trajetórias de uso e cobertura da terra | ||
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| - Pacote SITS - Satellite Image Time Series: Análise de séries temporais de imagens extraídas de cubos de dados | ||
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| **Responsáveis:** | ||
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| - Karine Reis Ferreira | ||
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| - Gilberto Ribeiro de Queiroz | ||
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| - Felipe Souza | ||
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| - Rennan Marujo | ||
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| **Requisitos** | ||
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| Cada participante deve portar seu notebook. | ||
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| **Links úteis** | ||
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| - Repositório oficial de Notebooks Jupyter do BDC, onde encontram-se diversos códigos de exemplo de uso das ferramentas do BDC: https://github.com/brazil-data-cube/code-gallery | ||
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| - Discord BDC, onde pode-se entrar em contato com usuários e desenvolvedores do BDC: https://discord.gg/TqaMJSBtUs |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,31 @@ | ||
| .. | ||
| This file is part of Brazil Data Cube Documentation. | ||
| Copyright 2020-2024 INPE. | ||
| This program is free software: you can redistribute it and/or modify | ||
| it under the terms of the GNU General Public License as published by | ||
| the Free Software Foundation, either version 3 of the License, or | ||
| (at your option) any later version. | ||
| This program is distributed in the hope that it will be useful, | ||
| but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | ||
| GNU General Public License for more details. | ||
| You should have received a copy of the GNU General Public License | ||
| along with this program. If not, see <https://www.gnu.org/licenses/gpl-3.0.html>. | ||
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| Jupyter Notebooks | ||
| ----------------- | ||
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| O *Cubos de Dados de Observação da Terra e Análise de Séries Temporais de Imagens* será feito utilizando Jupyter Notebooks. | ||
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| Utilizaremos o seguinte `jupyter notebook para o ISPRS <https://github.com/brazil-data-cube/code-gallery/blob/master/jupyter/events/2024-isprs/2024_ISPRS.ipynb>`_. | ||
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| Note que neste repositório há diversos outros notebooks que podem ser utilizados como estudo e demonstração de tecnologias adotadas na plataforma Brazil Data Cube. | ||
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| Os Notebooks podem ser executados no ambiente pessoal de cada usuário (necessitando instalar os pacotes), assim como podem também ser utilizados em plataformas de processamento, como o `Google Collab <https://colab.research.google.com/>`_ e `Kaggle <https://www.kaggle.com/>`_. | ||
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| Satellite Image Time Series Analysis on Earth Observation Data Cubes (SITS) | ||
| --------------------------------------------------------------------------- | ||
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| `Livro do pacote SITS <https://e-sensing.github.io/sitsbook/>`_. |
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