Mark Litwintschik is a Big Data, AI, GIS, and networking consultant with international experience, helping clients across the UK, USA, Europe, and beyond. He specializes in large-scale data analysis, geospatial insights, and technology consulting for major corporations and organizations.
97 articles from this blog
A technical guide on using the GeoDeep Python package to run AI object detection models on Maxar's satellite imagery, focusing on earthquake-affected areas.
A technical guide on downloading and analyzing Canada's National Address Register (15.8M addresses) using Python, DuckDB, and QGIS to create settlement centroids.
Analysis of Wyvern's open hyperspectral satellite imagery data feed, including setup and tools for processing the GeoTIFFs.
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.
Explores using WebP compression to reduce filesize of high-resolution satellite imagery from Planet Labs' SkySat constellation.
A guide to using LibreTranslate, a Python-based API server for language translation and detection, including setup and performance considerations.
Analysis of Foursquare's newly open-sourced Points of Interest (POI) dataset, covering its significance, data preparation, and visualization.
OpenStreetMap now hosts vector tiles, enabling dynamic styling and sharper maps. This article explores how to visualize and analyze the new format.
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.
An overview of ICEYE's Synthetic Aperture Radar (SAR) satellite fleet, its imaging capabilities, and launch history.
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.
Analyzing Baltic Sea maritime traffic data using the Finnish Transport Infrastructure Agency's open AIS API with Python and DuckDB.
Analyzing the Global Streetscapes dataset, a massive collection of AI-labeled street view imagery, using Python, DuckDB, and a high-performance workstation.
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.
Analysis of a research paper detailing an AI model that extracted 281 million building footprints from satellite imagery across East Asia.
