{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T07:02:20Z","timestamp":1762326140881,"version":"build-2065373602"},"reference-count":42,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T00:00:00Z","timestamp":1759708800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.mdpi.com"],"crossmark-restriction":true},"short-container-title":["IJGI"],"abstract":"<jats:p>This article presents the ADAImpact tool, a QGIS plugin designed to assess the potential impacts of geohazards\u2014such as landslides, subsidence, and sinkholes\u2014using open-access surface displacement data from the European Ground Motion Service (EGMS), which is based on Sentinel-1 satellite observations. Created as part of the European RASTOOL project, ADAImpact integrates InSAR-derived ground movement data with exposure datasets (including population, infrastructure, and buildings) to support civil protection agencies in conducting risk assessments and planning emergency responses. The tool combines \u201cProcess Magnitude\u201d, with \u201cExposure\u201d metrics, quantifying the population and critical infrastructure affected, to generate potential impact maps for ground motion hazards. When applied to case studies along the Portugal\u2013Spain border and the coastal region of Granada, Spain, ADAImpact successfully identified areas of high potential impact. These results underscore the tool\u2019s utility in pre- and post-disaster assessment, highlighting its potential for scalability across Europe.<\/jats:p>","DOI":"10.3390\/ijgi14100389","type":"journal-article","created":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T13:33:41Z","timestamp":1759757621000},"page":"389","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["ADAImpact Tool: Toward a European Ground Motion Impact Map"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6677-0425","authenticated-orcid":false,"given":"Nelson","family":"Mileu","sequence":"first","affiliation":[{"name":"Centre of Geographical Studies, IGOT, University of Lisbon, 1600-276 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6254-7931","authenticated-orcid":false,"given":"Anna","family":"Barra","sequence":"additional","affiliation":[{"name":"Geomatics Research Unit, Centre Tecnol\u00f2gic Telecomunicacions Catalunya (CTTC\/CERCA), Avinguda Carl Friedrich Gauss 7, 08860 Castelldefels, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8667-5030","authenticated-orcid":false,"given":"Pablo","family":"Ezquerro","sequence":"additional","affiliation":[{"name":"Pyrenean Institute of Ecology, Spanish National Research Council (IPE-CSIC), Av. Monta\u00f1ana 1005, 50059 Zaragoza, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0883-8564","authenticated-orcid":false,"given":"S\u00e9rgio C.","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Centre of Geographical Studies, IGOT, University of Lisbon, 1600-276 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1036-6271","authenticated-orcid":false,"given":"Ricardo A. C.","family":"Garcia","sequence":"additional","affiliation":[{"name":"Centre of Geographical Studies, IGOT, University of Lisbon, 1600-276 Lisbon, Portugal"}]},{"given":"Raquel","family":"Melo","sequence":"additional","affiliation":[{"name":"Centre of Geographical Studies, IGOT, University of Lisbon, 1600-276 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9785-0180","authenticated-orcid":false,"given":"Pedro Pinto","family":"Santos","sequence":"additional","affiliation":[{"name":"Centre of Geographical Studies, IGOT, University of Lisbon, 1600-276 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7449-4048","authenticated-orcid":false,"given":"Marta","family":"B\u00e9jar-Pizarro","sequence":"additional","affiliation":[{"name":"Geohazards InSAR Laboratory and Modelling Group (InSARlab), Geohazards and Climate Change Department, Geological and Mining Institute of Spain (IGME-CSIC), Calle R\u00edos Rosas 23, 28003 Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2505-6855","authenticated-orcid":false,"given":"Oriol","family":"Monserrat","sequence":"additional","affiliation":[{"name":"Geomatics Research Unit, Centre Tecnol\u00f2gic Telecomunicacions Catalunya (CTTC\/CERCA), Avinguda Carl Friedrich Gauss 7, 08860 Castelldefels, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3953-673X","authenticated-orcid":false,"given":"Jos\u00e9 Lu\u00eds","family":"Z\u00eazere","sequence":"additional","affiliation":[{"name":"Centre of Geographical Studies, IGOT, University of Lisbon, 1600-276 Lisbon, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,6]]},"reference":[{"key":"ref_1","unstructured":"Salichon, J., Le Cozannet, G., Modaressi, H., Hosford, S., Missotten, R., McManus, K., Marsh, S., Paganini, M., Ishida, C., and Plag, H.P. (2007). 2nd IGOS Geohazards Theme Report."},{"key":"ref_2","unstructured":"EMDAT (2019). The Emergency Events Database, UCL\u2013CRED. Available online: www.emdat.be."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"87","DOI":"10.2174\/1874836801610010087","article-title":"Definition of Seismic Vulnerability Maps for Civil Protection Systems: The Case of Lampedusa Island","volume":"10","author":"Asteris","year":"2016","journal-title":"Open Constr. Build. Technol. J."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1080\/19475705.2017.1413013","article-title":"Fast detection of ground motions on vulnerable elements using Sentinel-1 InSAR data","volume":"9","author":"Solari","year":"2018","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Wania, A., Joubert-Boitat, I., Dottori, F., Kalas, M., and Salamon, P. (2021). Increasing timeliness of satellite-based flood mapping using early warning systems. Remote Sens., 13.","DOI":"10.3390\/rs13112114"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Barra, A., Cuevas-Gonz\u00e1lez, M., Navarro, J., B\u00e9jar-Pizarro, M., Ezquerro, P., Bianchini, S., Zezere, J.L., Medici, C., Del Soldato, M., and Palam\u00e0, R. (2024). ADATools: Free and User-Friendly Tools to Semiautomatically Extract and Analyse Wide PSI Displacement Maps, EGU General Assembly. EGU24-20708.","DOI":"10.5194\/egusphere-egu24-20708"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Costantini, M., Minati, F., Trillo, F., Ferretti, A., Novali, F., Passera, E., Dehls, J., Larsen, Y., Marinkovic, P., and Eineder, M. (2021, January 11\u201316). European ground motion service (EGMS). Proceedings of the 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium.","DOI":"10.1109\/IGARSS47720.2021.9553562"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1080\/15481603.2022.2030535","article-title":"Classification of ground deformation using Sentinel-1 persistent scatterer interferometry time series","volume":"59","author":"Mirmazloumi","year":"2022","journal-title":"GISci. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Navarro, J.A., Cuevas, M., Tom\u00e1s, R., Barra, A., and Crosetto, M. (2019, January 3\u20135). A toolset to detect and classify active deformation areas using Interferometric SAR Data. Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management\u2014GISTAM, Crete, Greece.","DOI":"10.5220\/0007617701670174"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2473","DOI":"10.5194\/nhess-22-2473-2022","article-title":"Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe","volume":"22","author":"Tarpanelli","year":"2022","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_11","unstructured":"Capes, R., and Passera, E. (2024, January 15). Product Description and Format Specification. EGMS v2.0. Copernicus Land Tech Libr. Available online: https:\/\/land.copernicus.eu\/...\/egms-product-description-document\/."},{"key":"ref_12","first-page":"23","article-title":"The Copernicus EMS validation service as a vector for improving the emergency mapping based on Sentinel data","volume":"56","author":"Ciriza","year":"2020","journal-title":"Rev. Teledetec."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2275541","DOI":"10.1080\/19475705.2023.2275541","article-title":"A novel model for multi-risk ranking of buildings at city level based on open data: The test site of Rome, Italy","volume":"14","author":"Mastrantoni","year":"2023","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"107452","DOI":"10.1016\/j.ocecoaman.2024.107452","article-title":"Potential socio-economic impacts of ground movements in the coastal municipalities of Spain: Insights from the supra-regional implementation of the European Ground Motion Service","volume":"259","author":"Ezquerro","year":"2024","journal-title":"Ocean Coast. Manag."},{"key":"ref_15","unstructured":"QGIS (2024, January 15). QGIS Download. Available online: https:\/\/www.qgis.org\/download\/."},{"key":"ref_16","unstructured":"InaSAFE (2025, September 10). InaSAFE: Free Software for Natural Hazard Impact Modelling. Available online: https:\/\/inasafe.org."},{"key":"ref_17","unstructured":"GEM Foundation, and CEDIM (2025, September 10). Integrated Risk Modelling Toolkit (IRMT), User Manual (Release 3.16.1). QGIS Plugin. Available online: https:\/\/docs.openquake.org\/oq-irmt-qgis\/v3.16.1\/."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Barra, A., Solari, L., B\u00e9jar-Pizarro, M., Monserrat, O., Bianchini, S., Herrera, G., and Moretti, S. (2017). A methodology to detect and update active deformation areas based on Sentinel-1 SAR images. Remote Sens., 9.","DOI":"10.3390\/rs9101002"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"351","DOI":"10.5194\/isprs-archives-XLVIII-3-2024-351-2024","article-title":"ADATools: Free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps","volume":"48","author":"Monserrat","year":"2024","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_20","unstructured":"UNDRR (2019). Global Assessment Report on Disaster Risk Reduction (GAR2019), United Nations Office for Disaster Risk Reduction."},{"key":"ref_21","unstructured":"IPCC (2014). Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects, Cambridge University Press."},{"key":"ref_22","unstructured":"Varnes, D.J. (1984). Landslide Hazard Zonation: A Review of Principles and Practice, UNESCO."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/S0169-555X(99)00078-1","article-title":"Landslide hazard evaluation: A review of current techniques and their application in a multiscale study, Central Italy","volume":"31","author":"Guzzetti","year":"1999","journal-title":"Geomorphology"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.ecolind.2017.02.006","article-title":"An assessment of social vulnerability to climate change among the districts of Arunachal Pradesh, India","volume":"77","author":"Maiti","year":"2017","journal-title":"Ecol. Indic."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1663","DOI":"10.5194\/nhess-20-1663-2020","article-title":"The spatial dimension in the assessment of urban socio-economic vulnerability related to geohazards","volume":"20","author":"Contreras","year":"2020","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"842","DOI":"10.1007\/s13753-022-00455-w","article-title":"A novel approach to measuring spatiotemporal changes in social vulnerability at the Local Level in Portugal","volume":"13","author":"Santos","year":"2022","journal-title":"Int. J. Disaster Risk Sci."},{"key":"ref_27","unstructured":"United Nations (2016). Report of the Open-Ended Intergovernmental Expert Working Group on Indicators and Terminology Relating to Disaster Risk Reduction, United Nations Office for Disaster Risk Reduction. A\/71\/644."},{"key":"ref_28","first-page":"22","article-title":"Models of Social Vulnerability to Disasters","volume":"4","author":"Alexander","year":"2012","journal-title":"RCCS Annu. Rev."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"104739","DOI":"10.1016\/j.ssci.2020.104739","article-title":"Evaluating risk from a holistic perspective to improve resilience: The United Nations evaluation at global level","volume":"127","author":"Cardona","year":"2020","journal-title":"Saf. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.epsl.2009.01.005","article-title":"Landslide Volumes and Landslide Mobilization Rates in Umbria, Central Italy","volume":"279","author":"Guzzetti","year":"2009","journal-title":"Earth Planet. Sci. Lett."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.earscirev.2014.08.002","article-title":"A review on natural and human-induced geohazards and impacts in karst","volume":"138","author":"Parise","year":"2014","journal-title":"Earth-Sci. Rev."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2161","DOI":"10.5194\/nhess-18-2161-2018","article-title":"Global fatal landslide occurrence from 2004 to 2016","volume":"18","author":"Froude","year":"2018","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_33","unstructured":"Schiavina, M., Freire, S., Carioli, A., and MacManus, K. (2023). GHS-POP R2023A\u2014GHS Population Grid Multitemporal (1975\u20132030), JRC, European Commission."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Melchiorri, M., Pesaresi, M., Florczyk, A.J., Corbane, C., and Kemper, T. (2019). Principles and applications of the global human settlement layer as Baseline for the Land Use Efficiency Indicator\u2014SDG 11.3.1. ISPRS Int. J. Geo-Inf., 8.","DOI":"10.3390\/ijgi8020096"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2102","DOI":"10.1109\/JSTARS.2013.2271445","article-title":"A global human settlement layer from optical HR\/VHR RS data: Concept and First Results","volume":"6","author":"Pesaresi","year":"2013","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_36","unstructured":"Freire, S., MacManus, K., Pesaresi, M., Doxsey-Whitfield, E., and Mills, B. (2016, January 14\u201317). Development of new open and free multi-temporal global population spatial raster datasets at 250 m resolution. Proceedings of the Geospatial Data in a Changing World, AGILE, Helsinki, Finland. JRC100523."},{"key":"ref_37","unstructured":"Geofabrik (2023, July 15). Geofabrik Download Server. Available online: https:\/\/download.geofabrik.de\/."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"113294","DOI":"10.1016\/j.rse.2022.113294","article-title":"From Satellite Interferometry Displacements to Potential Damage Maps: A Tool for Risk Reduction and Urban Planning","volume":"282","author":"Barra","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_39","unstructured":"Bru, G., Ezquerro Mart\u00edn, P., L\u00f3pez-Vinielles, J., Reyes-Carmona, C., Guardiola-Albert, C., and B\u00e9jar Pizarro, M. (2024). Manual B\u00e1sico sobre el Uso de Datos InSAR para Medir Desplazamientos de la Superficie del Terreno, CSIC\u2014Instituto Geol\u00f3gico y Minero de Espa\u00f1a (IGME). Available online: https:\/\/digital.csic.es\/handle\/10261\/360969."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"103756","DOI":"10.1016\/j.jobe.2021.103756","article-title":"Satellite Radar Interferometry: Potential and Limitations for Structural Assessment and Monitoring","volume":"46","author":"Talledo","year":"2022","journal-title":"J. Build. Eng."},{"key":"ref_41","unstructured":"Turner, A.K., and Schuster, R.L. (1996). Landslide Types and Processes. Landslides: Investigation and Mitigation, Special Report 247, Transportation Research Board, National Research Council, National Academy Press."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Bianchini, S., Solari, L., Bertolo, D., Thuegaz, P., and Catani, F. (2021). Integration of Satellite Interferometric Data in Civil Protection Strategies for Landslide Studies at a Regional Scale. Remote Sens., 13.","DOI":"10.3390\/rs13101881"}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/14\/10\/389\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T04:16:35Z","timestamp":1759896995000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/14\/10\/389"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,6]]},"references-count":42,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2025,10]]}},"alternative-id":["ijgi14100389"],"URL":"https:\/\/doi.org\/10.3390\/ijgi14100389","relation":{},"ISSN":["2220-9964"],"issn-type":[{"type":"electronic","value":"2220-9964"}],"subject":[],"published":{"date-parts":[[2025,10,6]]}}}