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Focusing
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Focusing
10 followers · 62 following
  • São Paulo - Brazil

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sdesena/README.md

Hello 🌍

Welcome to my GitHub profile, where I showcase my projects and contributions in Environmental Management with Geotechnologies.

I'm actively learning and developing projects in the following areas:

  • Deforestation and Land Degradation: Monitoring deforestation and degradation through multi-sensor remote sensing, time series analysis, and change detection algorithms.
  • Agricultural Analytics: Evaluating crop health, estimating yields, and analyzing risks using multispectral and radar data.
  • Climate and Weather Analysis: Analyzing precipitation, temperature, evapotranspiration and drought indices.
  • Fire Monitoring: Detecting active fires, mapping burned areas, and assessing recovery after wildfires.
  • Water Resource Management: Performing hydrological and water quality analysis, flood risk assessments, and watershed modeling.
  • Pipelines Engineering: Building scalable geospatial ETL/ELT pipelines with DuckDB, dbt, Spark and Airflow.
  • Spatial Databases Design: Designing spatial datalakes and data warehouses with PostgreSQL/PostGIS and Google Cloud Platform.
  • ML Lifecycle Management: Managing machine learning workflows with MLflow, including experiment tracking, model versioning, and deployment.
  • Interactive Dashboards: Developing web applications in Google Earth Engine and dashboards with Streamlit.

Collaboration

I’m always open to collaboration. Feel free to fork repositories, submit pull requests, or reach out via social media for partnerships or feedback.

 

   

Python  Jupyter JavaScript  Postgresql  R  Git  Qgis

Computador iuriCode

Let's connect:

  

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  1. above-ground-biomass-machine-learning above-ground-biomass-machine-learning Public

    End-to-end geospatial data science workflow for predicting Above Ground Biomass density (t/ha)

    Python 5

  2. Improve-LULC-Classification-GEE Improve-LULC-Classification-GEE Public

    Learn how to avoid pitfalls and enhance your Land Use and Land Cover classification results with a comprehensive workflow

    JavaScript 1 1