On September 27th, 2021, Dr Gilberto Camara, one of the members of the BDC team, will conduct virtual hands-on training on the classification of remote sensing image time series using the R package software for Satellite Image Time Series (sits) at FOSS4G (Free and Open Source Software for Geospatial) 2021 conference. The FOSS4G conference is the premier international event dedicated to presenting new developments in open source software for geospatial data applications.
The workshop will provide an introduction to sits, an open-source R package for satellite image time series analysis using machine learning. The package has been improved in the context of the Brazil Data Cube Project and supports the complete cycle of data analysis for land classification, including data management, validation and quality assessment, filtering, classification, post-processing, and accuracy estimates.
The registrations to the conference or Standalone Workshop are available. For further information, go to https://registration.2021.foss4g.org/OSGeo/FOSS4G/
To know more about sits visit github.com/e-sensing.
Source: Brazil Data Cube Team.
The Brazil Data Cube (BDC) project team will present on September 15th, 2021, the mini-course: “Introduction to STAC and WTSS” within the WorCAP 2021.
The 04-hour mini-course aimed to present an introduction to the concepts of time series and data cubes, as well as how to use, through Python language, the services Spatio Temporal Asset Catalog (STAC) and Web Time Series Service (WTSS), to obtain information about the products generated by the project.
The Applied Computing Workshop (WorCAP) is an event of the Graduate Program in Applied Computing (CAP) of the National Institute for Space Research (INPE). The event will be held from September 13th to 17th, 2021 remotely.
Registration is free and can be made until September 12th, 2021, on the WorCAP website.
Source: Brazil Data Cube Team
The Brazil Data Cube (BDC) project team presented yesterday, April 12, 2021, the mini-course: Earth Observation Data Cubes and Time Series Analysis within the SBSR Interim.
The 06-hour mini-course aimed to present an introduction to concepts of Earth observation data cubes and analysis of time series of remote sensing images.
The participants had theoretical and practical presentations, with hands-on using the data cubes and software packages created by the BDC.
The mini-course had about 400 participants online and more than 80 questions answered live during the event.
SBSR Interim is conducted by the coordination of the Brazilian Symposium on Remote Sensing, with webinars and online mini courses aimed at state-of-the-art scientific dissemination.
Source: Brazil Data Cube project / SBSR Interim
The Group on Earth Observations (GEO) is hosting a series of webinars describing Brazil’s Amazon monitoring system, the tools used and the recent technological advances by Brazil’s National Institute for Space Research (INPE).
The webinars will address the following topics:
- The PRODES system: history, operation, data dissemination and use.
- The DETER system: history, operation, data dissemination and use.
- The TerraAmazon software for forest monitoring and current advances and future plans for INPE’s monitoring systems.
- The Brazilian Data Cube project: innovation to automatize land use and land cover data production using Big Earth Observation data and machine learning methods.
Further info and registration here GEO-INPE Webinars.
Source: Brazil Data Cube Project
On August 12, 13 and 14, 2020, the Brazil Data Cube project team conducted a virtual hands-on training on the classification of remote sensing image time series using the R package for Satellite Image Time software package Series (SITS).
The training was coordinated by Dr Gilberto Camara with support from the Brazil Data Cube (BDC) team members Alber Sanchez, Gilberto Queiroz, Felipe Carlos, Michelle Picolli and Rolf Simões. The training aimed at demonstrating, in a practical way, the use of the SITS package, using MODIS and Sentinel images. Members of the PRODES project team, graduate students in Remote Sensing and INPE researchers attended the trainning.
This was the first of two trainings planned for this month, to disseminate the use of SITS to process the data cubes generated in the BDC project.
The SITS package allows the retrieval of time series of satellite images using geographic services and methods for their visualization, analysis and processing. Different methods of classifying time series, using machine learning, are available in the package.
To learn more about SITS visit github.com/e-sensing.
Source: Brazil Data Cube project.