[Ráfaga] #2149: gdal, ml, gtfs

[Rafagas team]

#2149: gdal, ml, gtfs

Tue, 03 Oct 2023 by Raf

* 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

* 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

* 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/

**********
Translated by Isaac, Jaume, Jorge, and Wladimir

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