BDC INPE and HARMONIZE Brazil teams (LiSS/LabDrones-DIOTG, INPE) provide training for Fiocruz and InfoDengue team
On June 10, 2025, a training session was held at INPE (São José dos Campos) on the Harmonize Brazil platform—a system developed under the coordination of LiSS/DIOTG, in partnership with the BDC-INPE Project—targeted at teams from InfoDengue and the Observatório do Clima e Saúde (FIOCRUZ/RJ). The initiative aimed to present and explore the potential of the platform’s technologies and datasets within the context of the HARMONIZE Project (Harmonizing multi-scale spatiotemporal environment and health data in climate change hotspots) (https://www.harmonize-tools.org/).
Participants engaged in hands-on activities using the Harmonize-DS, STAC (SpatioTemporal Asset Catalog), and SITS (Satellite Image Time Series Analysis) tools within the BDC-LAB (Brazil Data Cube Geospatial Data Science Lab) environment. These sessions explored climate and health data, drone imagery and satellite image time series.
BDC-Lab is a web-based geospatial data science environment with a graphical interface that supports code development in R and Python for accessing and processing large volumes of geoespatial data modeled as multidimensional data cubes. It supports web services and data analysis packages with artificial intelligence techniques.
Harmonize-DS is a Python library designed to access spatiotemporal data from the Harmonize Brazil platform, structuring outputs as Pandas DataFrames. It facilitates the access to multiscale health, climate reanalysis, and socioeconomic data in critical regions affected by climate change—the central focus of the Harmonize Project.
The training, held at LABGEO/INPE, involved ten participants and all materials are available at: https://github.com/Harmonize-Brazil/code-gallery/tree/main/jupyter/events/2025-Infodengue-Harmonize_INPE
Below are some images from the event:
