Skip to content
View sdesena's full-sized avatar
🎯
Focusing
🎯
Focusing
3 followers · 53 following

Block or report sdesena

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sdesena/README.md

Hello world ! 🌍

Welcome to my GitHub profile, a repository for my projects and contributions in Geospatial Data Science with a specialized focus on Remote Sensing for environmental applications. My academic background includes a Bachelor’s degree in Environmental Management and a MBA in Data Science and Analytics. This profile highlights my work in geospatial data science, integrating remote sensing, spatial database management, machine learning, and data visualization to address critical environmental challenges. Here you'll find projects related to:

  • Deforestation and Degradation Detection: Using multi-sensor approaches for deforestation monitoring, including time series analysis, change detection algorithms, deforestation risk assessment, and forest cover classification.

  • Agricultural Monitoring: Leveraging multispectral and radar data to monitor crop health, estimate yields, and detect agricultural risks such as pest and disease outbreaks, using vegetation indices, phenological metrics, and crop classification.

  • Climate and Weather Analysis: Developing tools to analyze climate data (precipitation, temperature, drought indices) using Google Earth Engine for comprehensive climate and weather assessments.

  • Fire Detection and Monitoring: Detecting active fires and mapping burned areas with MODIS and Sentinel-2 data. Includes fire hotspot detection, burn severity assessment, and post-fire recovery analysis.

  • Water Resources Management: Analyzing hydrological data for watershed delineation, water quality monitoring, and flood risk assessment, utilizing various remote sensing and GIS techniques.

  • Spatial Data Management: Engineering robust spatial data infrastructures to support complex analyses, utilizing PostgreSQL/PostGIS, Spark and BigQuery to manage, query, and process large-scale geospatial data for efficient workflows and high-performance analyses.

Contributions and Collaboration

This profile is always in progress, so if you have ideas for improvements, feel free to fork the repositories and submit pull requests. Open issues for bugs, questions, or requests, and I’ll be happy to engage with you. Feel free to provide feedback and reach out for collaborations by contacting me through my social medias.

 

   

Python  Jupyter JavaScript  Postgresql  R  Git  Qgis

Computador iuriCode

Let's connect:

  

Pinned Loading

  1. integracao-sicar integracao-sicar Public

    Ferramentas e scripts para integração de dados do Sistema de Informação de Cadastro Ambiental Rural (SICAR) em análises espaciais com Google Earth Engine

    Jupyter Notebook 1 1

  2. weather-climate-analysis weather-climate-analysis Public

    Weather and climate analysis with Google Earth Engine. Precipitation, temperature, evapotranspiration, water balance and drought analysis.

    JavaScript 1

  3. AGB-Modeling-TCC AGB-Modeling-TCC Public

    The prediction of aboveground biomass is essential for understanding ecosystems and the sustainable management of natural resources. This study aimed to develop predictive models using remote sensi…

    Jupyter Notebook