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figmulberry/README.md

Moses Thiong'o

Geospatial Science · Earth Observation · Data Analytics · Applied Research · AI Training & Evaluation · Decision Support

I work across geospatial science, Earth observation, data analytics, applied research, and technical systems for evidence-based decision making.

My work brings together spatial and quantitative analysis, satellite imagery, environmental and socioeconomic data, reproducible computational workflows, mapping, and technical documentation to investigate complex problems and translate evidence into practical decisions.

Selected work

Amazon BR-163 Forest Change Detection

A Windows adaptation of the PyEO forest-change detection workflow for Sentinel-2 monitoring in the Amazon BR-163 corridor.

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Flood Imagery Classification

Satellite-image classification work focused on identifying and mapping flood extent from remotely sensed imagery.

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Articles & Projects

Research notes, technical writing, applied analysis, geospatial articles, and supporting project material.

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Areas I work in

  • Geospatial Science & Spatial Analytics
  • Earth Observation & Remote Sensing
  • Data Analytics & Quantitative Methods
  • Applied Research
  • Environmental, Climate & Development Analysis
  • Decision-Support Systems
  • Data Visualization & Cartography
  • Reproducible Analytical Workflows
  • AI Training, Evaluation & Quality Assurance

More work

My broader portfolio brings together geospatial projects, applied research, data analysis, articles, technical documentation, and professional work.

Portfolio · CV · ORCID · LinkedIn

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  1. Amazon_BR163_PyEO Amazon_BR163_PyEO Public

    Windows adaptation of the PyEO forest change detection workflow for Sentinel-2 monitoring in the Amazon BR-163 corridor.

    Jupyter Notebook

  2. articles-and-projects articles-and-projects Public

    Geospatial articles, applied research, technical writing, and supporting project material.

    Python

  3. classifying-flood-imagery classifying-flood-imagery Public

    Satellite imagery classification workflow for identifying and mapping flood extent from remotely sensed data.

    Jupyter Notebook