Brazil Data Cube team will attend the MundoGEO Connect

The Brazil Data Cube team will attend the MundoGEO Connect event, tomorrow, August 19th, at 2 pm.

The lecture about the project will be in the panel: Images, Artificial Intelligence, Machine and Deep Learning, with the theme: “Brazil Data Cube Project: Image data cubes, big data, time series analysis and machine learning”.

The event is online and registration is free. Go to the event website to register: https://mundogeoconnect.com/2021/programação/.

Source: Brazil Data Cube Team

BDC team will attend the IGARSS-2021 Symposium this week

The BDC team will attend on July 13th the International Geoscience and Remote Sensing Symposium (IGARSS-2021) presenting the paper “RSTAC: An R package to access spatiotemporal asset catalog satellite imagery”. The package provides functions to access, search and download spacetime earth observation data via STAC and is published in the CRAN.

The paper and presentation will be available soon on the publications page of the project’s website and Brazil Data Cube Channel on Youtube.

Source: Brazil Data Cube team.

BDC’s team will attend the XXIV ISPRS congress this week

The BDC team will attend the International Society for Photogrammetry and Remote Sensing Congress (XXIV ISPRS) with two paper presentations. The team will present the paper “Accessing and processing Brazilian Earth observation data cubes with the Open Data Cube platform” on July 6th and the paper “Evaluating the impact of LaSRC and Sen2cor atmospheric correction algorithms on Landsat-8/OLI and Sentinel-2/MSI data over AERONET stations in Brazilian territory” on July 7th.

The papers are available on the publications page of the project’s website and the presentations will be available at Brazil Data Cube Channel on Youtube later this week.

Source: Brazil Data Cube team.

Live demonstration of SITS with SEPAL platform in the GEO-GFOI Workshop

The BDC team will present tomorrow (June, 16th) in the GEO-GFOI Workshop a live demonstration of the R package SITS (Satellite Image Time Series Analysis) running in the SEPAL platform.

SITS is an open source R package for satellite image time series analysis and machine learning. It supports the complete cycle of data analysis for land classification.

SEPAL (System for earth observations, data access, processing & analysis for land monitoring) is an open source platfom developed by the Open Foris team in Forestry Department of the United Nations Food and Agriculture Organization (FAO).

Organized by Group of Earth Observation (GEO) and Global Forest Observations Initiative (GFOI) the workshop will be held virtually on 16-17 June. For more information, access the workshop page: https://earthobservations.org/geo_blog_obs.php?id=509.

Source: Brazil Data Cube project.