cbers4asat
Python library to search and process images from the CBERS-04A and AMAZONIA-1 satellites, which provide remote sensing data for the observation and monitoring of deforestation, particularly in the Amazon region, and diversified agriculture throughout the national territory, with a high repetition rate, in order to act in synergy with existing environmental programmes.
https://github.com/gabriel-russo/cbers4asat
Category: Sustainable Development
Sub Category: Environmental Satellites
Keywords
amazonia-1 amazonia1 cbers cbers-04a cbers-4a cbers4a geoprocessamento geoprocessing gis inpe python remote-sensing sensoriamento-remoto
Last synced: about 2 hours ago
JSON representation
Repository metadata
📚 Biblioteca Python para realizar a busca e processamento de imagens dos satélites CBERS-04A e AMAZONIA-1 🛰️ 🇧🇷
- Host: GitHub
- URL: https://github.com/gabriel-russo/cbers4asat
- Owner: gabriel-russo
- License: mit
- Created: 2022-08-04T03:14:09.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2025-04-09T02:21:20.000Z (19 days ago)
- Last Synced: 2025-04-21T09:06:54.311Z (6 days ago)
- Topics: amazonia-1, amazonia1, cbers, cbers-04a, cbers-4a, cbers4a, geoprocessamento, geoprocessing, gis, inpe, python, remote-sensing, sensoriamento-remoto
- Language: Python
- Homepage: https://cbers4asat.readthedocs.io/
- Size: 7.15 MB
- Stars: 47
- Watchers: 2
- Forks: 5
- Open Issues: 3
- Releases: 22
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
README.md
🛰️ cbers4asat 🇧🇷
Descrição
Biblioteca Python para realizar a busca e processamento de imagens dos satélites CBERS-04A e AMAZONIA-1.
A biblioteca cbers4asat
surgiu da necessidade de automatizar a busca e manipulação de imagens do satélite
sino-brasileiro CBERS-04A utilizando linguagens de programação. Posteriormente foi incluido a automação do satélite AMAZONIA-1.
O design do projeto foi inspirado no sentinelsat, onde é possível de forma
intuitiva realizar diversas ações, como:
- Pesquisar por imagens.
- Baixar as imagens pesquisadas.
- Processar as imagens baixadas.
Veja todos os exemplos de uso na documentação.
"Python library to search and process images from the CBERS-04A and AMAZONIA-1 satellites, which provide remote
sensing data for the observation and monitoring of deforestation, particularly in the Amazon region, and diversified
agriculture throughout the national territory, with a high repetition rate, in order to act in synergy with existing
environmental programmes."Text about cbers4asat from Open Sustainable Technology Repository.
Download
pip install cbers4asat
Instalação com a caixa de ferramentas
pip install "cbers4asat[tools]"
Busque imagens com poucas linhas de código
from cbers4asat import Cbers4aAPI
from datetime import date
# Inicializando a biblioteca
api = Cbers4aAPI('[email protected]')
# Área de interesse. Pode ser: bouding box, path row ou polygon.
path_row = (229, 124)
# Buscando metadados. Este exemplo utiliza o path row (órbita/ponto).
# Consulte a órbita/ponto: http://www.obt.inpe.br/OBT/assuntos/catalogo-cbers-amz-1
produtos = api.query(location=path_row,
initial_date=date(2021, 6, 1),
end_date=date(2021, 7, 1),
cloud=100,
limit=10,
collections=['CBERS4A_WPM_L4_DN'])
# Exibindo os resultados
print(produtos)
Desenvolvimento amigável
Biblioteca com tipagem, documentações e classes de apoio para uma melhor experiência de desenvolvimento.
from cbers4asat import Collections as coll
Utilize a caixa de ferramenta para os trabalhos mais comuns
# Para ver todas as ferramentas disponíveis, verifique a documentação
from cbers4asat.tools import rgbn_composite
from rasterio.plot import show
import rasterio as rio
# Criando a composição cor verdadeira
rgbn_composite(red='./CBERS4A_WPM22812420210704/CBERS_4A_WPM_20210704_228_124_L4_BAND3.tif',
green='./CBERS4A_WPM22812420210704/CBERS_4A_WPM_20210704_228_124_L4_BAND2.tif',
blue='./CBERS4A_WPM22812420210704/CBERS_4A_WPM_20210704_228_124_L4_BAND1.tif',
nir='./CBERS4A_WPM22812420210704/CBERS_4A_WPM_20210704_228_124_L4_BAND4.tif',
filename='CBERS4A_WPM22812420210704_TRUE_COLOR.tif',
outdir='./STACK')
# Plotando a imagem
raster = rio.open("./STACK/CBERS4A_WPM22812420210704_TRUE_COLOR.tif")
show(raster)
Documentação
Você pode ler a documentação da biblioteca no link abaixo
TCC
Esse projeto foi meu objeto de estudo do Trabalho de Conclusão de Curso (TCC) no curso de Bacharelado em Ciência da Computação, você
pode visualizar o PDF neste Link:
Repositório Institucional da Universidade Federal de Rondônia
Contribuição
Convido qualquer pessoa a participar contribuindo com código, relatando bugs,
escrevendo documentação, criando tutoriais e discutindo o futuro deste projeto.
Para mais informações de como contribuir ao projeto,
leia ao manual de contribuição
Progresso do projeto
Você pode acompanhar todo o progresso do desenvolvimento
no painel de projetos
Licença
Copyright (c) 2025 Gabriel Russo
Copyright (c) 2020 Sandro Klippel
O uso é fornecido sob a Licença do MIT. Veja
em LICENSE
para mais detalhes.
Owner metadata
- Name: Gabriel Russo
- Login: gabriel-russo
- Email:
- Kind: user
- Description: Cientista da Computação e Analista em ciência e tecnologia no Sistema de Proteção da Amazônia (SIPAM)
- Website:
- Location: Porto Velho - Rondônia, Brasil
- Twitter:
- Company: CENSIPAM - Ministry of Defense, Brazil
- Icon url: https://avatars.githubusercontent.com/u/57543567?u=faf3bbdb8754b30468b16a644e80f3b3a92abe64&v=4
- Repositories: 47
- Last ynced at: 2025-04-23T07:35:18.868Z
- Profile URL: https://github.com/gabriel-russo
GitHub Events
Total
- Create event: 15
- Release event: 7
- Issues event: 12
- Watch event: 12
- Delete event: 9
- Issue comment event: 5
- Push event: 17
- Pull request event: 20
Last Year
- Create event: 15
- Release event: 7
- Issues event: 12
- Watch event: 12
- Delete event: 9
- Issue comment event: 5
- Push event: 17
- Pull request event: 20
Committers metadata
Last synced: 6 days ago
Total Commits: 97
Total Committers: 3
Avg Commits per committer: 32.333
Development Distribution Score (DDS): 0.021
Commits in past year: 15
Committers in past year: 1
Avg Commits per committer in past year: 15.0
Development Distribution Score (DDS) in past year: 0.0
Name | Commits | |
---|---|---|
Gabriel Russo | g****o@p****m | 95 |
henrique bernini | h****i@h****m | 1 |
Tiago Porto Flores | t****s@s****r | 1 |
Committer domains:
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 18
Total pull requests: 12
Average time to close issues: 22 days
Average time to close pull requests: 1 day
Total issue authors: 3
Total pull request authors: 3
Average comments per issue: 0.83
Average comments per pull request: 0.17
Merged pull request: 12
Bot issues: 0
Bot pull requests: 0
Past year issues: 6
Past year pull requests: 10
Past year average time to close issues: 20 days
Past year average time to close pull requests: 1 day
Past year issue authors: 1
Past year pull request authors: 1
Past year average comments per issue: 0.17
Past year average comments per pull request: 0.1
Past year merged pull request: 10
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- gabriel-russo (16)
- tflores (1)
- vivianmarcello (1)
Top Pull Request Authors
- gabriel-russo (10)
- BerniniH (1)
- tflores (1)
Top Issue Labels
- Novos recursos (7)
- Documentação (5)
- Problema (4)
- Procura-se ajuda (2)
- Otimização necessária (2)
Top Pull Request Labels
- Problema (3)
- Documentação (3)
- Novos recursos (2)
- Wontfix (1)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 1,140 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 20
- Total maintainers: 1
pypi.org: cbers4asat
Biblioteca Python para realizar a busca e processamento de imagens dos satélites CBERS-04A e AMAZONIA-1
- Homepage: https://cbers4asat.readthedocs.io/pt_BR/latest
- Documentation: https://cbers4asat.readthedocs.io/
- Licenses: MIT License Copyright (c) 2025 Gabriel Russo Copyright (c) 2020 Sandro Klippel Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
- Latest release: 0.9.1 (published 26 days ago)
- Last Synced: 2025-04-26T14:41:08.113Z (1 day ago)
- Versions: 20
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 1,140 Last month
-
Rankings:
- Dependent packages count: 6.633%
- Downloads: 9.71%
- Stargazers count: 13.613%
- Average: 18.212%
- Forks count: 30.492%
- Dependent repos count: 30.611%
- Maintainers (1)
Dependencies
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- pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite
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- 157 dependencies
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Score: 12.050295643958332