Academic Journal

Open source and web-based GeoAI tool for transparent forest fire prediction ; Open-Source- und webbasiertes GeoKI-Tool zur transparenten Waldbrandvorhersage

Bibliographic Details
Title: Open source and web-based GeoAI tool for transparent forest fire prediction ; Open-Source- und webbasiertes GeoKI-Tool zur transparenten Waldbrandvorhersage
Authors: Meier, Sebastian
Publication Year: 2024
Subject Terms: article, ddc:520, 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 , Maplibre GL JS, TiTiler, raum-zeitliche Analysen und Modelle, Waldbrandanfälligkeit, Prognose, Open Data, offene Geodaten, Künstliche Intelligenz, KI, Transparenz, Fallstudie, Benutzerinteraktion, Kartendarstellung, Open Source
Subject Geographic: Brandenburg, 13.01582 52.45905
Description: Utilizing open geospatial data and AI, we are trying to predict forest fire susceptibility in Brandenburg. This case study showcases full-stack web-GIS, emphasizing user interaction and transparent AI through open-source tools like GEE, GDAL, Python, Maplibre, and TiTiler.
Document Type: article in journal/newspaper
File Description: 1 Online-Ressource (Seite 79, 36,77 kB) : 1 Textdatei (PDF)
Language: English
ISBN: 978-1-887333-25-2
978-3-00-077982-4
1-887333-25-8
3-00-077982-5
Relation: FOSSGIS 2024, in Hamburg, 20.-23. März 2024; FOSSGIS 2024, in Hamburg, March 20-23, 2024; urn:nbn:de:0307-20240419-003-4; https://doi.org/10.5281/zenodo.10570705; https://zenodo.org/records/10570705; https://files.fossgis.de/Konferenz/2024/fossgis_tagungsband_2024_digital.pdf; https://www.fossgis-konferenz.de/2024/; https://doi.org/10.5446/s_1800; http://uri.gbv.de/document/gvk:ppn:1887333258; https://pretalx.com/fossgis2024/talk/TCVX3C/; https://doi.org/10.5446/67607
DOI: 10.48711/20240429-001
DOI: 10.5446/67607
Availability: https://doi.org/10.48711/20240429-001
https://nbn-resolving.org/urn:nbn:de:0307-20240429-002-3
https://kartdok.staatsbibliothek-berlin.de/receive/kartdok_mods_00001034
https://kartdok.staatsbibliothek-berlin.de/servlets/MCRZipServlet/kartdok_mods_00001034
https://pretalx.com/fossgis2024/talk/TCVX3C/
https://doi.org/10.5446/67607
Rights: public ; https://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
Accession Number: edsbas.ECAD5385
Database: BASE
Description
ISBN:9781887333252
9783000779824
1887333258
3000779825
DOI:10.48711/20240429-001