Toolchain and Technologies

Last updated on Oct 30, 2026

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

pgSTAC — PostgreSQL-backed infrastructure for storing and querying STAC catalogue metadata.
Apache Polaris and Apache Iceberg — Catalogue and open table-format tooling for interoperable analytical data.
OGC APIs — Open standards for accessing geospatial data through interoperable web services.
TiTiler — Dynamic map tile services for cloud-optimized geospatial raster data.
GDAL — Tools and libraries for processing and translating raster and vector geospatial formats.