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Towards a systematic use of web-text data to support geospatial analysis of major natural disaster and crisis events - Evidence from the Ahrtal 2021 flooding, Germany

Proceedings 6th International Open Search Symposium #ossym2024, 9–11 October 2024, LRZ - Leibniz Supercomputing Centre, Garching, Germany
2024-10-08 | Conference paper | Author
DOI: 10.5281/zenodo.13887343
SOURCE-WORK-ID:

207528

URI: https://elib.dlr.de/207528/
Part of ISBN: 978-92-9083-669-8
Contributors: Vanessa Rittlinger; Farzana, Sheikh Mastura; Hu, Xuke; Pandey, Hema; Stefan Voigt; Christian Geiß; Hannes Taubenböck; Granitzer, Michael; Gütel, Christian; Öster, Per et al.
Source: check_circle
Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Using machine learning and satellite data from multiple sources to analyze mining, water management, and preservation of cultural heritage

Geo-spatial Information Science
2024-05-03 | Journal article
DOI: 10.1080/10095020.2023.2234008
Contributors: Joaquim J. Sousa; Jiahui Lin; Qun Wang; Guang Liu; Jinghui Fan; Shibiao Bai; Hongli Zhao; Hongyu Pan; Wenjing Wei; Vanessa Rittlinger et al.
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