Open source and web-based GeoAI tool for transparent forest fire prediction

Category

Translated title:

Open-Source- und webbasiertes GeoKI-Tool zur transparenten Waldbrandvorhersage (German)

Published in:

FOSSGIS 2024, in Hamburg, 20.-23. März 2024 : Anwenderkonferenz für Freie und Open Source Software für Geoinformationssysteme,…
(2024), p. 79

DOI:

10.48711/20240429-001

URN:

urn:nbn:de:0307-20240429-002-3

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 79, 36,77 kB) : 1 Textdatei (PDF)

Keywords:

Spatio-temporal analyses and models; predict forest fire susceptibility; prognosis; open geospatial data; Artificial Intelligence (AI); Geospatial Artificial Intelligence (GeoAI); transparency; case study; full-stack web-GIS; user interaction; map rendering; Google Earth Engine (GEE); Geospatial Data Abstraction Library (GDAL); Python <computer program language>; Maplibre GL JS; TiTiler; raum-zeitliche Analysen und Modelle; Waldbrandanfälligkeit; Prognose^GND; Open Data^GND; offene Geodaten; Künstliche Intelligenz^GND; KI; Transparenz^GND; Fallstudie^GND; Benutzerinteraktion; Kartendarstellung; Open Source^GND; Python <Programmiersprache>^GND

Geographic:

Brandenburg^GND

Geographic coordinates:

13.01582 52.45905

OpenStreetMap

DDC subject of DNB:

520 Astronomy & allied sciences

Link to Context:

https://pretalx.com/fossgis2024/talk/TCVX3C/

Link to Context:

https://doi.org/10.5446/67607

Hosting institution:

University of Applied Sciences Potsdam

Statement of responsibility:

Sebastian Meier

Bibliographic notes:

Conference presentation: https://pretalx.com/fossgis2024/talk/TCVX3C/

Bibliographic notes:

Video of the presentation (TIB AV-Portal): https://doi.org/10.5446/67607