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.
111 articles from this blog
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.
A technical guide on training a ship detection model using YOLOv5 on Umbra's high-resolution Synthetic Aperture Radar (SAR) satellite imagery.
A technical analysis of Maxar's high-resolution global satellite imagery basemap, examining 60GB of data across 11 cities using GDAL, Python, and DuckDB.
HeavyIQ is an AI-powered English-to-SQL interface from HEAVY.AI, using a fine-tuned LLM to query and visualize massive datasets like flight records.
A technical guide exploring the AV1 video codec, its benefits over H.265, and practical encoding setup using tools like SVT-AV1.
A technical guide on downloading and analyzing free Synthetic Aperture Radar (SAR) satellite imagery from Umbra's open data program.
A technical walkthrough of preparing and analyzing the global Open Charge Map dataset for EV charging points using DuckDB and Python.
