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Very High-Resolution Imaging of the City of Goma (North Kivu, D.R. Congo) Using SFM-MVS Photogrammetry

dc.contributor.authorSmets, B.
dc.contributor.authorMichellier, C.
dc.contributor.authorSyavulisembo, A.M.
dc.contributor.authorMuganga, G.
dc.contributor.authord'Oreye, N.
dc.contributor.authorKervyn, F.
dc.date2018
dc.date.accessioned2024-03-14T13:16:01Z
dc.date.available2024-03-14T13:16:01Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/12094
dc.descriptionIn complex tropical environment, where the dense vegetation and weather conditions limit the classical use of satellite remote sensing techniques, airborne remote sensing remains the best solution to image large areas in very high spatial resolution. However, implementing such a survey in complex areas like in the region of Goma, North Kivu, Democratic Republic of Congo (DRC), is difficult, expensive and not suitable for fast imaging during crisis periods (the city of Goma is indeed threatened by volcanic eruptions and frequently affected by armed conflicts). Thanks to the support of the Mission of the United Nations in the DRC, we tested the application of Structure-from-Motion Multi-View Stereo photogrammetry to image Goma and its vicinity (∼140 km2) using a helicopter and consumer-grade DSLR cameras. The resulting orthomosaic has a spatial resolution of 17.5cm and provides unprecedented details of the city. Direct applications are detailed urban, cadastral and natural hazards mapping.
dc.languageeng
dc.title<a data-href="/citations?view_op=view_citation&amp;hl=fr&amp;user=CY-tKGEAAAAJ&amp;sortby=pubdate&amp;citation_for_view=CY-tKGEAAAAJ:R3hNpaxXUhUC" class="gsc_a_at">Very High-Resolution Imaging of the City of Goma (North Kivu, D.R. Congo) Using SFM-MVS Photogrammetry</a>
dc.typeArticle
dc.subject.frascatiComputer and information sciences
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeNatural hazards
dc.source.titleIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
dc.source.page3370-3373
Orfeo.peerreviewedYes
dc.identifier.doi10.1109/IGARSS.2018.8517412
dc.identifier.urlhttps://ieeexplore.ieee.org/abstract/document/8517412
dc.identifier.rmca5434


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