I am a researcher and developer specializing in Remote Sensing, Geographic Information Systems (GIS) and Python programming. My work focuses on extracting insights from geospatial data and implementing solutions using tools like Google Earth Engine (GEE) and other modern data-science ecosystems.

• 🔭 Currently working on: Geospatial analytics, remote sensing research and building open-source projects that integrate GIS workflows with Python.
• 🌱 Currently learning: Advanced machine-learning models for spatial data, cloud-native geoprocessing and scalable mapping solutions.
• 💬 Ask me about: Remote sensing techniques, GIS data pipelines, Python automation, Earth Engine scripting.
• 📫 How to reach me: LinkedIn (Feel free to connect!)
• ⚡ Fun fact: I believe that mapping the Earth is just the beginning — extracting meaning from those maps is where things get really interesting.

• Programming Languages: Python (including libraries such as Pandas, NumPy, SciPy), SQL, JavaScript (for Earth Engine).
• GIS & Remote Sensing: Raster and vector analysis, satellite image processing, classification, change detection, spatial modelling.
• Tools & Platforms: Google Earth Engine (GEE), QGIS, ArcGIS, GDAL/OGR, remote-sensing toolkits.
• Data & Analytics: Geospatial databases, spatial data visualization, mapping dashboards, remote‐sensing spectral indices.
• DevOps & Collaboration: Git, GitHub workflows, open-source contribution, documentation, version control.

Here are a few key highlights and sample projects demonstrating my experience in remote sensing and GIS:

• Developed a Python-based workflow to ingest, preprocess and analyse large satellite imagery datasets (e.g., Sentinel, Landsat) for land-cover change detection.
• Built interactive maps and dashboards to visualise spatial patterns related to environmental monitoring and urban development.
• Implemented classification algorithms in Earth Engine to extract land-use classes and assess changes over time.
• Collaborated on interdisciplinary research linking spatial data to societal topics such as health equity, environmental justice and spatial accessibility.

(Stay tuned for more open-source repositories coming soon.)

• I follow a reproducible-science mindset: documentation, modular code, clear versioning and transparent results.
• I believe in the open-data and open-source movement: wherever possible I share code, tutorials and data-processing workflows to benefit the community.
• I engage with peers and researchers: I value peer review, collaboration and continuous learning.

If you share interests in remote sensing, GIS, geospatial analytics or Python development — I’d love to connect and explore ways to collaborate. Whether it’s a research project, an open-source initiative or a professional opportunity — drop me a message on LinkedIn or open an issue/PR in one of my repositories.

Thanks for stopping by — happy coding and mapping!
Mohsen Forouzandeh