I'm Milad Ramezani Ziarani, Geoinformatics Engineering student at Politecnico di Milano and a Master's candidate with a background in Survey Engineering. I have a strong interest in Earth Observation, Remote Sensing, and GIS-based environmental analysis.
Welcome to my GitHub profile!
Interested in:
- Machine Learning and Deep Learning algorithms and methods
- Remote Sensing and Earth Observation applications
- Flood Monitoring and Disaster Impact Assessment
- Land Surface Temperature (LST) Analysis
- Environmental Sustainability and Geohazard Mapping
In addition to my technical interests, I enjoy exploring new places, learning about different cultures, and spending time outdoors.
Python, R, MATLAB, JavaScript, SQL
- Data Analysis & Machine Learning: TensorFlow, Keras, PyTorch
- GIS and Remote Sensing: Google Earth Engine, ArcGIS, QGIS, ENVI, PhotoModeler, Agisoft Metashape, CloudCompare
- Web Development: HTML5, CSS3, WebGIS
- GIS Software: ArcGIS, QGIS, Google Earth Engine
- Databases: PostgreSQL, PostGIS, Geoserver, pgAdmin
- Version Control: Git & GitHub
- Other Tools: AutoCAD
Analytical Thinking, Spatial Data Analysis, Remote Sensing Techniques, Collaborative Solutions, Continuous Learning
- English (C1)
- Persian (B1)
I enjoy working on challenging tasks that allow me to explore new concepts. Here are some of my projects:
- Landslide Susceptibility Mapping Website: Developed an interactive website for geohazard risk assessment using ArcGIS, QGIS, and WebGIS.
- Flood Monitoring and Impact Assessment: Created flood maps using Sentinel-1 satellite imagery to track affected areas like residential zones, agricultural land, and infrastructure.
- Land Surface Temperature Analysis: Calculated maximum land surface temperatures in Italy using MODIS and TERRA data to assess temperature variations across regions.
Feel free to explore my repositories for more projects!
