KARIOS : A fast & efficient open source tool for geometric deformation analysis. Sébastien Saunier(1), P. Canonici(1), V. Debaecker, J. Louis(1), A. Beaton(2), C. Albinet(3) (1)Telespazio France - A Leonardo / Thales Company, 26 Av. JF Champollion, 31023 Toulouse Cedex 1 (France), Phone: +33 534357501, Email: sebastien.saunier@telespazio.com (2) Telespazio UK (3) European Space Agency, ESRIN The Earthnet Data Assessment Project (EDAP+) continues the work of its predecessor (EDAP 2018 – 2021) and is responsible for assessing the quality and suitability of candidate missions being considered for ESA’s Earthnet Programme as Third Party Missions (TPM). Early data assessments are publicly disclosed to the community ([RD-1]). Based on its own infrastructure ([RD-2]), Telespazio is responsible for the analysis of Very High Resolution optical data, including assessment on geometry, radiometry and image quality ([RD-3]). In most cases, inherited from design tradeoffs in the new space domain, the geometry remains a critical aspect. Main outcomes from various workshops ([RD-4]) point out the needs regarding openly available reference data and openly available data assessment processing tools. In this context, a new tool dedicated to geometric assessment has been created: Kanade Lucas Tomassi (KLT) based Algorithm for Registration of Images from Observing System’ (KARIOS) Functionalities Activities funded by the ESA / Earthnet Programme Algorithms The main driver of KARIOS initiative is to support operator for following quality control assessments • Multi temporal geolocation to evaluate the geolocation stability of the mission, • Absolute geolocation to evaluate the geolocation accuracy of an input image grid against a well-controlled absolute reference image,. • Band-to band registration to evaluate co-registration between image band grids, all within a same product. The KARIOS tool has been designed to compare two image grids (matching) and output consistent mapping accuracy analysis statistics, Results Conclusions and Future Plans Multi temporal analysis KARIOS can be orchestrated to perform multi temporal analysis over large dataset. Small changes in Processing Baseline can be easily detected, notably systematic shifts between Landsat and Sentinel 2 products and improvements (end of the period) as show in right figure (upper graphics). KARIOS is also used to validate Sen2Like processing results (right figure (lower graphics)). Validation L1C processing (before Sen2Like (left / after (left) registration S1 / S2 Image grid comparison [RD-1] ESA/EDAP VHR, HR and MR Optical Missions Webpages, https://earth.esa.int/eogateway/activities/edap/vhr-hr-mr-optical-missions [RD-2] Saunier, S.: Reference Data and Methods for Validation of Very High Resolution Optical Data Within ESA / EDAP Project, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-15501, https://doi.org/10.5194/egusphere-egu21-15501 [RD-3] Saunier, S.; Karakas, G.; Yalcin, I.; Done, F.; Mannan, R.; Albinet, C.; Goryl, P.; Kocaman, S. SkySat Data Quality Assessment within the EDAP Framework. Remote Sens. 2022, 14, 1646. https://doi.org/10.3390/rs14071646 [RD-4] The Very High-resolution Radar & Optical Data Assessment (VH-RODA) Workshop https://earth.esa.int/eogateway/events/vh-roda [RD-5] Kocaman, S., Debaecker, V., Bas, S., Saunier, S., Garcia, K., Just, D., 2022. A Comprehensive Geometric Quality Assessment Approach for MSG SEVIRI Imagery. Advances in Space Research. https://doi.org/10.1016/j.asr.2021.11.018 [RD-6] Shi, J., Tomasi, C., 1994. Good features to track. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Seattle, WA, USA, 21–23 June, pp. 593-600 [RD-7] Lucas, B. D., & Kanade, T., 1981. An iterative image registration technique with an application to stereo vision. International Joint Conference on Artificial Intelligence, 674–679 [RD-8] Saunier, S.; Pflug, B.; Lobos, I.M.; Franch, B.; Louis, J.; De Los Reyes, R.; Debaecker