A technical analysis and comparison of various administrative boundary datasets, including OpenStreetMap, using Python, DuckDB, and QGIS.
A technical walkthrough of converting the massive OpenBuildingMap dataset (2.7B buildings) into a columnar Parquet format for efficient cloud analysis.
Analyzing Australia's coastal imagery using satellite data, Python, GDAL, DuckDB, and QGIS on a high-performance workstation.
An analysis of Statistics Canada's Open Database of Buildings (ODB) dataset, covering data processing, tools used, and technical setup.
An analysis of Canada's new national building footprint dataset, exploring its sources, technical setup, and initial processing steps.
Analysis of a new global building dataset (2.75B structures), detailing the data processing, technical setup, and tools used for exploration.
Analysis of Satellogic's satellite constellation and their new open Earth observation data feed, including the technical setup for data processing.
Overview of Overture Maps Foundation's updated global, open geospatial datasets, their partners, and data refresh strategy.
Analysis of Foursquare's newly open-sourced Points of Interest (POI) dataset, covering its significance, data preparation, and visualization.
Analyzing ORNL's AI-generated dataset of 131 million US building footprints, including download, setup, and technical analysis.
A technical guide on processing Overture Maps' global land cover dataset, focusing on extracting and analyzing Australia's data using DuckDB and QGIS.
Exploration of Microsoft's 1.4 billion global building footprint dataset, created via ML on satellite imagery, including setup and analysis steps.
Exploring Japan's building footprint data from the Flateau project, which converts 3D CityGML data into 2D Parquet files for analysis.
Explores using Umbra Space's Synthetic Aperture Radar (SAR) satellites and the SARDet-100K dataset to detect aircraft, especially those with transponders off.
An overview of Capella Space's SAR satellite fleet and a guide to accessing and analyzing their freely available satellite imagery.
An overview of Overture Maps' evolving open geospatial datasets, including new formats, tools, and a technical setup for analysis.
A technical walkthrough of preparing and analyzing the global Open Charge Map dataset for EV charging points using DuckDB and Python.
Explains how to extract and analyze spatial patterns from categorical raster data using the 'motif' R package and information theory metrics.
A technical guide on accessing, processing, and visualizing free LiDAR data, using Estonia's national scans as a practical example.
A technical guide to downloading, processing, and visualizing global geospatial datasets from the public domain Natural Earth project using tools like AWS S3, DuckDB, and QGIS.
