# Potential and Limitations of the New European Ground Motion Service in Landslides at a Local Scale
## 5 Conclusions  
This work demonstrates the usefulness of the new European Ground Motion Service at the local scale for detecting and monitoring an ancient mass movement with current activity when no in situ instrumental data was available.  
This research included multidisciplinary approaches (detailed geomorphological mapping, building damage inventory, and analysis of daily meteorological data) to assess the results of remote sensing techniques using EGMS from January 2015 to December 2021.  
Sentinel-1 A-DInSAR measurements revealed LOS and East-West maximum velocities of \(-11.6\), \(-7.9\), and \(-7.2\) mm/year. Detailed geomorphological mapping allowed the spatial characterization of an active complex landslide and other surface processes, such as creep and other flow processes evidence. The activity of the landslide is also evidenced by the building damage inventory (moderate and serious damage). The EGMS-measured displacement aligns closely with rainfall periods, with stabilization and recovery phases of displacement coinciding with periods of reduced rainfall. This highlights a notable quantitative correlation between rainfall events and EGMS data, both spatially and temporally.  
The EGMS has proven to be an excellent free tool for rapidly studying landslides at a local scale and high resolution. However, it does have one notable limitation, which is the impossibility of modifying input data for Sentinel-1 A-DInSAR processing, which prevents reprocessing to improve the results.  
Finally, this work shows that, in those areas where EGMS data indicate deformation, but no in situ instrumental recording is available, the geomorphological approach, together with rainfall records and damage inventory, can be a good alternative to confirm or reject the EGMS data. The geomorphological techniques and building damage inventory would provide spatial validation of the movement, while the rainfall records would provide temporal validation.  
Conceptualization, J.C.-M.; methodology, J.C.-M.; software, J.C.-M.; validation, J.C.-M., and M.J.D.-C.; formal analysis, J.C.-M.; investigation, J.C.-M.; resources, J.C.-M.; data curation, J.C.[PERSON] and [PERSON]; writing--original draft preparation, [PERSON]; writing--review and editing, [PERSON], [PERSON], and [PERSON]; visualization, [PERSON], [PERSON] and [PERSON]; supervision, [PERSON]; project administration, [PERSON]; funding acquisition, [PERSON]. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the GEOCANTABRICAE project, co-funded by the Foundation for the Promotion of Applied Scientific Research and Technology (FICYT), by the Government of the Principality of Asturias, by the European Union, and by the European Regional Development Found (ERDF) [Ref. SV-PA-21-AYUD/2021/51766] and the \"RETROCLIFF\" project, call 2021 for Knowledge Generation Projects founded by the Spanish Ministry of Science and Innovation, the Spanish Research Agency (AEI), and the European Regional Development Found (ERDF) [Ref. MCIU-22-PID2021-122472 NB-100].  
Not applicable.  
This publication has been prepared using European Union's Copernicus Land Monitoring Service information; Data used were: [[https://doi.org/10.2909/0a9](https://doi.org/10.2909/0a9) db5d4-b414-4f2]([https://doi.org/10.2909/0a9](https://doi.org/10.2909/0a9) db5d4-b414-4f2) b-a6 be-eea73094a0f5; [[https://doi.org/10.2909/b34](https://doi.org/10.2909/b34) fd3d-c2d1-4 ee9-b2 ee-286196a5d261]([https://doi.org/10.2909/b34](https://doi.org/10.2909/b34) fd3d-c2d1-4 ee9-b2 ee-286196a5d261) and [[https://doi.org/10.2909/bef2507a-13](https://doi.org/10.2909/bef2507a-13) cf-44c0-a809-0a1566f27631]([https://doi.org/10.2909/bef2507a-13](https://doi.org/10.2909/bef2507a-13) cf-44c0-a809-0a1566f27631).  
We thank four anonymous reviewers for their comments and suggestions, which have served to substantially improve this manuscript.  
The authors declare no conflicts of interest.