SKILLS
1. GIS & Remote Sensing Software:
- ArcGIS
- QGIS
- SNAP (Sentinel Application Platform)
- Google Earth Engine (GEE)
2. Programming & Data Tools:
- Python
- Java Script
- Google Colab
- Jupyter notebook
- Machine Learning and
- Deeplearning in Satellite Imagery
3. Data Types & Methods:
- Sentinel-1 SAR Processing
- Lanndsat (1-9) Data Handling
- TIFF Raster Processing
- Creation and Labelling of Image masks
- Terrain & Surface Modeling
- Spatial Classification
PROJECTS
- Mapping of floods
- SAR preprocessing done in SNAP such as radiometric calibration and terrain correction
- Developed training masks on supervised classification models
- Written loading and processing codes of multi-temporal TIFF datasets
- Raster consistency (use of the same height, width and band size)
- Training datasets of machine learning satellite imagery
- Land Use and Land Cover Classification