Toolchain and Technologies
Tools and Chain for R&D (Source: Microsoft Research)| Coding and Analysis | Geospatial and EO Tools | Cloud and Development Platforms | Visualization and Reporting | Integration and Operations |
Python (pandas, numpy, matplotlib, seaborn) Statistical scripting for EO analytics SQL & R (basic) Custom data transformations DAX & M for BI tools | QGIS, ArcGIS, Google Earth Engine (GEE) GDAL & SNAP LiDAR data processing tools SARscape for InSAR workflows Raster-vector integration suites | Google Earth Engine cloud apps AWS (EC2, S3 basics) Git & version control workflows Databricks notebooks Jupyter-based automation | Power BI & geospatial dashboards Seaborn and matplotlib visualizations KPI tracking and visual storytelling Custom reports for disaster analytics Interactive map-based interfaces | Bash & CLI scripting for task automation GitHub Actions & team repos API integration with Esri tools Pipeline orchestration for SAR data DevOps-style reproducibility tools |