#2149: gdal, ml, gtfs
, last check: Fri, 24 Oct 2025. Post history
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     A new entry in the series of posts on using GDAL, this post describes how to visualize other types of data: measures such as elevation, cloud cover, city lights and vegetation A new entry in the series of posts on using GDAL, this post describes how to visualize other types of data: measures such as elevation, cloud cover, city lights and vegetation
 https://medium.com/@robsimmon/a-gentle-introduction-to-gdal-part-5-shaded-relief-ec29601db654 | archive.org
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    W.A.L.D.O. (Whereabouts Ascertainment for Low-lying Detectable Objects) is an ML model to detect features and classify them from aerial and satellite imagery based on YOLO-v7 and published as FOSS  
    
    
 https://github.com/stephansturges/WALDO
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    GTFS files converted to Parquet format, served by http and queried via DuckDB-Wasm with SQL queries completed in the browser, as an alternative to using Postgres  
    
    
 http://saadiqm.com/gtfs-parquet-duckdb-wasm/
Raf