{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T18:01:32Z","timestamp":1772820092963,"version":"3.50.1"},"reference-count":47,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2018,12,17]],"date-time":"2018-12-17T00:00:00Z","timestamp":1545004800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Large-scale events represent a special challenge for crisis management. To ensure that participants can enjoy an event safely and carefree, it must be comprehensively prepared and attentively monitored. Remote sensing can provide valuable information to identify potential risks and take appropriate measures in order to prevent a disaster, or initiate emergency aid measures as quickly as possible in the event of an emergency. Especially, three-dimensional (3D) information that is derived using photogrammetry can be used to analyze the terrain and map existing structures that are set up at short notice. Using aerial imagery acquired during a German music festival in 2016 and the celebration of the German Protestant Church Assembly of 2017, the authors compare two-dimensional (2D) and novel fusion-based 3D change detection methods, and discuss their suitability for supporting large-scale events during the relevant phases of crisis management. This study serves to find out what added value the use of 3D change information can provide for on-site crisis management. Based on the results, an operational, fully automatic processor for crisis management operations and corresponding products for end users can be developed.<\/jats:p>","DOI":"10.3390\/rs10122054","type":"journal-article","created":{"date-parts":[[2018,12,18]],"date-time":"2018-12-18T03:12:30Z","timestamp":1545102750000},"page":"2054","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["2D vs. 3D Change Detection Using Aerial Imagery to Support Crisis Management of Large-Scale Events"],"prefix":"10.3390","volume":"10","author":[{"given":"Veronika","family":"Gstaiger","sequence":"first","affiliation":[{"name":"Remote Sensing Technology Institute, German Aerospace Center, Muenchener Str. 20, 82234 Wessling, Germany"}]},{"given":"Jiaojiao","family":"Tian","sequence":"additional","affiliation":[{"name":"Remote Sensing Technology Institute, German Aerospace Center, Muenchener Str. 20, 82234 Wessling, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7622-5458","authenticated-orcid":false,"given":"Ralph","family":"Kiefl","sequence":"additional","affiliation":[{"name":"German Remote Sensing Data Center, German Aerospace Center, Muenchener Str. 20, 82234 Wessling, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1718-0004","authenticated-orcid":false,"given":"Franz","family":"Kurz","sequence":"additional","affiliation":[{"name":"Remote Sensing Technology Institute, German Aerospace Center, Muenchener Str. 20, 82234 Wessling, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2018,12,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1177\/0309133309339563","article-title":"A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters","volume":"33","author":"Joyce","year":"2009","journal-title":"Prog. 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