Pôle Image et Instrumentation (P2I)

Pôle Image et Instrumentation

P2I

Plateforme transverse de l’IUEM, le P2I vise à faciliter les missions de recherche, formation et observation en mutualisant les équipements scientifiques et les expertises et services en imagerie et instrumentation en sciences de la mer & du littoral.

Les activités concernent :

  • l’utilisation interdisciplinaire de la télédétection et de l’instrumentation marine
  • la coordination des projets d’équipements
  • la gestion mutualisée des équipements
  • la recherche méthodologique
  • la formation sur l’acquisition, le traitement et  l’analyse de données
  • l’expertise pour la qualification instrumentale et la validation de données.

Depuis 2020, le P2I s’est inscrit dans une démarche qualité en collaboration avec la DT-INSU et l’IRD (unité IMAGO) pour garantir et maintenir la performance des équipements et assurer la qualité et la traçabilité des données.

Organigramme fonctionnel du P2I

Direction de l’IUEM

Pôle Image et Instrumentation

Coordination : Marion Jaud et Peggy Rimmelin-Maury

Référents scientifiques : Christophe Delacourt et Anne Lebourges-Dhaussy

Contacts expertises :

  Imagerie et développement méthodologiques : Marion Jaud

  Instrumentation et vérification de capteurs : Peggy Rimmelin-Maury

  Assurance qualité : Emilie Grossteffan

LEMAR

LETG

LGO

LOPS

Unité Mixte de Service de l’IUEM

  • Jaud M., Bertin S., Beauverger M., Augereau E., Delacourt C. (2020). RTK GNSS-Assisted Terrestrial SfM Photogrammetry without GCP: Application to Coastal Morphodynamics Monitoring. Remote sensing, 12(11), 1889. https://doi.org/10.3390/rs12111889
  • Letortu P., Jaud M., Théry C., Nabucet J., Taouki R., Passot S., Augereau E., (2020). The Potential of Pleiades images with high-angle of incidence for monitoring Norman cliff face erosion. International Journal of Applied Earth Observations and Geoinformation, 84, 101976. https://doi.org/10.1016/j.jag.2019.101976
  • Jaud M., Kervot, M., Delacourt C., Bertin S. (2019). Potential of Smartphone SfM photogrammetry to measure coastal morphodynamics. Remote Sensing, 11, 2242. https://doi.org/10.3390/rs11192242
  • Jaud M., Delacourt C., Le Dantec N., Allemand P., Ammann J., Grandjean P., Nouaille H., Prunier C., Cuq V., Augereau E., Cocquempot L., Floc’h F, 2019. Diachronic UAV photogrammetry of a sandy beach in Brittany (France) for a long-term coastal observatory. ISPRS International Journal of Geo-Information, 8(6), 267; https://doi.org/10.3390/ijgi8060267
  • Jaud M., Letortu P., Théry C., Grandjean P., Costa S., Maquaire O., Davidson R., Le Dantec N., 2019. UAV survey of a coastal cliff face – Selection of the best imaging angle. Measurement. 139, 10-20. https://doi.org/10.1016/j.measurement.2019.02.024
  • Jaud M., Passot S., Allemand P., Le Dantec N., Grandjean P., Delacourt C., 2019. Suggestions to Limit Geometric Distortions in the Reconstruction of Linear Coastal Landforms by SfM Photogrammetry with PhotoScan® and MicMac® for UAV Surveys with Restricted GCPs Pattern. Drones, 3(1), 2.
  • Jaud M., Le Dantec N., Ammann J., Grandjean P., Constantin D., Akhtman Y., Barbieux K., Allemand P., Delacourt C., Merminod B., 2018. Direct georeferencing of a push-broom, light-weight hyperspectral system for mini-UAV applications. Remote Sensing, 10(2), 204.
  • Letortu P., Jaud M., Grandjean P., Ammann J., Costa, S., Maquaire O., Davidson R., Le Dantec N., Delacourt C., 2018. Guidelines for high resolution survey methods for monitoring cliff erosion at an operational scale: Application to coastal chalk cliffs in Normandy (France). GISciences & Remote Sensing, 55(4), 1-20.
  • Jaud M., Letortu P., Augereau E., et al., 2017. Adequacy of pseudo-direct georeferencing of terrestrial laser scanning data for coastal landscape surveying against indirect georeferencing. European Journal of Remote Sensing, 50(1), 155-165.
  • Mahabot M-M., Jaud M., Pennober G., Le Dantec N., Troadec R., Suanez S., Delacourt C., 2017. Toward a shoreline evolution observatory in tropical environments: the case of back-reef beaches in La Réunion Island. Comptes Rendus Geoscience, 349, 330-340.
  • Fromant G., Floc’h F., Lebourges-Dhaussy A., Jourdin F., Perrot Y., Le Dantec N. and Delacourt C., (2017), In situ quantification of the suspended load of estuarine aggregates from multifrequency acoustic inversion, Journal of Atmospheric and Oceanic Technology, v. 34, p. 1625–1643, doi: 10.1175/JTECH-D-16-0079.1
  • Le Bivic, R.; Allemand, P.; Quiquerez, A.; Delacourt, C. Potential and Limitation of SPOT-5 Ortho-Image Correlation to Investigate the Cinematics of Landslides: The Example of “Mare à Poule d’Eau” (Réunion, France). Remote Sens. 2017, 9, 106.
  • Jaud M., Passot S., Le Bivic R., Le Dantec N., Delacourt C., 2016. Assessing the Accuracy of High Resolution Digital Surface Models Computed by PhotoScan® and MicMac® in Sub-Optimal Survey Conditions. Remote Sensing, 8(6).
  • Jaud M., Grassot F., Le Dantec N., Verney R., et al., 2016. Potential of UAVs for Monitoring Mudflats Morphodynamics (Application to the Seine estuary, France). International Journal of Geo-Information, 5(4).

Ocean Spectrometry pole

Ocean Spectrometry pole (OSP)

OSP concerns an innovative mass spectrometry devices package enabling trace chemical elements and isotopes analysis in geological and biological natural samples. The project associates UBO (IUEM), CNRS, Ifremer and IRD through complementary devices sharing specific to each organisation and devices acquired in common.

OSP is a structuring tool for oceanographic research in the field of chemistry, biology and marine geochemistry carried out within the framework of the topics developed in IUEM laboratories through axes 3, 4 and 6 of LabexMER and EUR ISblue.

Coordination: Bleuenn Gueguen

OSP website



Devices located at IUEM are as follows:

Means to the sea

Lipidocean

Western Microprobe

Calculation and data centre for the sea

La Pérouse Library

Observation support

BIODIMAR®

Pachiderm