Remote Sensing Techniques for Bridge Deformation Monitoring at Millimetric Scale: Investigating the Potential of Satellite Radar Interferometry, Airborne Laser Scanning and Ground-Based Mobile Laser Scanning

Matthias Schlögl; Peter Dorninger; Maciej Kwapisz; Marian Ralbovsky; Roland Spielhofer

doi:10.1007/s41064-022-00210-2

Remote Sensing Techniques for Bridge Deformation Monitoring at Millimetric Scale: Investigating the Potential of Satellite Radar Interferometry, Airborne Laser Scanning and Ground-Based Mobile Laser Scanning

Matthias Schlögl, Peter Dorninger, Maciej Kwapisz, Marian Ralbovsky, Roland Spielhofer

Transportation Infrastructure Technologies

ZAMG

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

Originalsprache	Englisch
Seitenumfang	21
Fachzeitschrift	PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE
Volume	2022
DOIs	https://doi.org/10.1007/s41064-022-00210-2
Publikationsstatus	Veröffentlicht - 2022

Research Field

Reliable and Silent Transport Infrastructure

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10.1007/s41064-022-00210-2Lizenz: Nicht angegeben

Diese Publikation zitieren

Schlögl, M., Dorninger, P., Kwapisz, M., Ralbovsky, M., & Spielhofer, R. (2022). Remote Sensing Techniques for Bridge Deformation Monitoring at Millimetric Scale: Investigating the Potential of Satellite Radar Interferometry, Airborne Laser Scanning and Ground-Based Mobile Laser Scanning. PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE, 2022. https://doi.org/10.1007/s41064-022-00210-2

Schlögl, Matthias ; Dorninger, Peter ; Kwapisz, Maciej et al. / Remote Sensing Techniques for Bridge Deformation Monitoring at Millimetric Scale: Investigating the Potential of Satellite Radar Interferometry, Airborne Laser Scanning and Ground-Based Mobile Laser Scanning. in: PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE. 2022 ; Volume 2022.

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title = "Remote Sensing Techniques for Bridge Deformation Monitoring at Millimetric Scale: Investigating the Potential of Satellite Radar Interferometry, Airborne Laser Scanning and Ground-Based Mobile Laser Scanning",

author = "Matthias Schl{\"o}gl and Peter Dorninger and Maciej Kwapisz and Marian Ralbovsky and Roland Spielhofer",

year = "2022",

doi = "10.1007/s41064-022-00210-2",

language = "English",

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Schlögl, M, Dorninger, P, Kwapisz, M , Ralbovsky, M & Spielhofer, R 2022, 'Remote Sensing Techniques for Bridge Deformation Monitoring at Millimetric Scale: Investigating the Potential of Satellite Radar Interferometry, Airborne Laser Scanning and Ground-Based Mobile Laser Scanning', PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE, Vol. 2022. https://doi.org/10.1007/s41064-022-00210-2

Remote Sensing Techniques for Bridge Deformation Monitoring at Millimetric Scale: Investigating the Potential of Satellite Radar Interferometry, Airborne Laser Scanning and Ground-Based Mobile Laser Scanning. / Schlögl, Matthias; Dorninger, Peter; Kwapisz, Maciej et al.
in: PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE, Vol. 2022, 2022.

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

TY - JOUR

T1 - Remote Sensing Techniques for Bridge Deformation Monitoring at Millimetric Scale: Investigating the Potential of Satellite Radar Interferometry, Airborne Laser Scanning and Ground-Based Mobile Laser Scanning

AU - Schlögl, Matthias

AU - Dorninger, Peter

AU - Kwapisz, Maciej

AU - Ralbovsky, Marian

AU - Spielhofer, Roland

PY - 2022

Y1 - 2022

U2 - 10.1007/s41064-022-00210-2

DO - 10.1007/s41064-022-00210-2

M3 - Article

SN - 2512-2789

VL - 2022

JO - PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE

JF - PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE

ER -

Schlögl M, Dorninger P, Kwapisz M , Ralbovsky M , Spielhofer R. Remote Sensing Techniques for Bridge Deformation Monitoring at Millimetric Scale: Investigating the Potential of Satellite Radar Interferometry, Airborne Laser Scanning and Ground-Based Mobile Laser Scanning. PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE. 2022;2022. doi: 10.1007/s41064-022-00210-2