Free GIS & Remote‑Sensing Toolkit 🌍🛰️
This post is a quick reference to free and open‑source resources for GIS and remote sensing. It notes core desktop packages (QGIS, GRASS), cloud services (Google Earth Engine, Planetary Computer), open data sources (Sentinel, Landsat, OpenStreetMap), and machine‑learning libraries geared to geospatial tasks. It also points to training material such as NASA ARSET webinars and EO‑College MOOCs. The list should be enough to set up a full workflow without licensing costs.
Core desktop GIS you can install today for free
| Tool | What it’s great for | Notes |
|---|---|---|
| QGIS 3.42 | All‑purpose mapping/analysis with 1,700+ plugins | Brand‑new release (Mar 2025) with 3‑D mesh layer styling and native cloud‑optimized‑GeoTIFF support. |
| GRASS GIS 8.4 | Powerful raster/vector processing, time‑series & hydrology | Still CLI‑first, but the new GUI in 8.x is friendlier. |
| SAGA‑GIS / gvSIG | Raster terrain analysis (SAGA) or CAD‑style editing (gvSIG) | 100 % open source; both plug neatly into QGIS Processing. |
| WhiteboxTools | 500‑plus niche raster & LiDAR tools (flow paths, TSP routing, etc.) | Command‑line, Python or QGIS/ArcGIS plugin. |
Remote‑sensing processing suites
- ESA SNAP – Sentinel‑1/‑2/‑3, atmospheric correction (Sen2Cor), SAR polarimetry.
- Orfeo ToolBox 9.1 – Terabyte‑scale optical + SAR workflows, C++/Python/GUI apps.
- GDAL 3.8+ – Ubiquitous format converter & API; latest 3.8.5 drop (Apr 2024).
Python/Notebook stack (glues everything together)
geopandas, rasterio, pyproj, shapely – spatial dataframes & raster IO.
leafmap gives drag‑and‑drop widgets (streamlit/voilà) plus hooks to WhiteboxTools.
Free cloud & big‑data platforms
| Platform | Quota / cost model | Typical use |
|---|---|---|
| Google Earth Engine | Free for research/edu; API call & storage quotas apply. | Server‑side planetary‑scale processing (Sentinel, Landsat, MODIS, ERA‑5…). |
| Microsoft Planetary Computer | Free token; STAC API + Dask Hub notebook. | Analysis‑ready COG/Parquet copies of Sentinel‑1/‑2, Landsat, OpenStreetMap etc. |
| Copernicus Data Space Ecosystem | Unlimited, real‑time Sentinel download & browser. | |
| Alaska Satellite Facility | Unlimited, synthetic aperture radar (SAR) data products and tools. |
Open imagery & vector data sources
- Sentinel‑1/‑2/‑3 via Copernicus Data Space.
- Landsat 1‑9 plus NAIP, ASTER, etc. from USGS EarthExplorer.
- AWS Registry of Open Data – COG versions of Sentinel‑2, NAIP, DEMs.
- OpenStreetMap extracts (PBF/GeoJSON) for global roads, buildings.
- Natural Earth – ready‑to‑map vector & raster layers at 1:10 m–1:110 m.
AI / machine‑learning toolkits for geospatial
| Library | Niche | Why use it |
|---|---|---|
| TorchGeo | PyTorch dataloaders + pretrained models for multispectral/SAR. | Handles tiling & CRS alignment for you. |
| Raster Vision | Config‑driven pipelines (classification, object detection, seg). | Spin up on‑prem or AWS SageMaker. |
| eo‑learn | End‑to‑end EO ML workflow blocks (cloud mask ➜ features ➜ model). | |
| SAMGeo / Geo‑SAM | Wraps Meta’s Segment Anything 2 for QGIS & notebooks. |
Structured learning & lectures (always free)
- NASA ARSET – live & on‑demand webinars (fundamentals, water height, fires…).
- EO‑College MOOCs – self‑paced Radar, Hyperspectral, Food‑Security courses.
- Esri free MOOCs (Spatial Analysis, Cartography, Climate‑Action…) come with temporary ArcGIS Pro/Online licenses.
- ITC University of Twente short online courses – applied GIS/RS methods.
Everything above is libre or gratis, cross‑platform, and plays well together. You can move from laptop to cloud GPU with almost zero code changes.
Leave a Reply