{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:55:19Z","timestamp":1760147719881,"version":"build-2065373602"},"reference-count":55,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T00:00:00Z","timestamp":1677024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Autorit\u00e0 di Bacino Distrettuale dell\u2019Appennino Centrale, ABDAC","award":["ABDACCENCETTI21"],"award-info":[{"award-number":["ABDACCENCETTI21"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The study presents an integrated investigation of a complex landslide based on multitemporal stereo aerial photographic interpretations, existing geotechnical monitoring data, and different PSInSAR datasets. The available information allowed for the quantification of the deformation history, also in periods with no monitoring in the field, making it possible to revise the geometry of the landslide compared to the official landslide mapping. Data from sparse inclinometers are compared with more spatially continuous satellite measurements, showing that the two monitoring techniques are consistent in terms of cumulative deformation trend and in terms of response to prolonged drought and wet periods. Therefore, reliable landslide mass displacements can be monitored using satellite products when ground instrumentations are no longer operating. Understanding the landslide behavior to rainfall conditions offers an important insight into the velocities and cumulative displacements expected during similar stages of enhanced landslide activity. The findings can be helpful to support urban planners in re-evaluating hazard and risk classification and implementing efficient mitigation techniques to reduce landslide damage.<\/jats:p>","DOI":"10.3390\/rs15051221","type":"journal-article","created":{"date-parts":[[2023,2,23]],"date-time":"2023-02-23T01:31:06Z","timestamp":1677115866000},"page":"1221","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Integrated Approaches for Field Mapping by Traditional Investigation and Satellite PSInSAR Data: Results from the Montemartano Landslide (Central Italy)"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3352-3858","authenticated-orcid":false,"given":"Lucio","family":"Di Matteo","sequence":"first","affiliation":[{"name":"Dipartimento di Fisica e Geologia, Universit\u00e0 degli Studi di Perugia, 06123 Perugia, Italy"}]},{"given":"Riccardo","family":"Cardinali","sequence":"additional","affiliation":[{"name":"Comune di Spoleto, 06049 Spoleto, Italy"}]},{"given":"Valentina","family":"Cerboni","sequence":"additional","affiliation":[{"name":"Dipartimento di Fisica e Geologia, Universit\u00e0 degli Studi di Perugia, 06123 Perugia, Italy"}]},{"given":"Fabio","family":"Guadagnano","sequence":"additional","affiliation":[{"name":"Dipartimento di Fisica e Geologia, Universit\u00e0 degli Studi di Perugia, 06123 Perugia, Italy"}]},{"given":"Giorgio","family":"Piagnani","sequence":"additional","affiliation":[{"name":"Geoland, 06083 Bastia Umbra, Italy"}]},{"given":"Claudia","family":"Ribaldi","sequence":"additional","affiliation":[{"name":"Geoter Ambiente, 06123 Perugia, Italy"}]},{"given":"Biagio Marco","family":"Sotera","sequence":"additional","affiliation":[{"name":"Independent Researcher, 06049 Spoleto, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0668-1129","authenticated-orcid":false,"given":"Corrado","family":"Cencetti","sequence":"additional","affiliation":[{"name":"Dipartimento di Fisica e Geologia, Universit\u00e0 degli Studi di Perugia, 06123 Perugia, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,22]]},"reference":[{"key":"ref_1","first-page":"545","article-title":"State of the art of national landslide databases in Europe and their potential for assessing landslide susceptibility, hazard and risk","volume":"139\u2013140","year":"2012","journal-title":"Geomorphology"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/j.geomorph.2006.09.022","article-title":"A brief survey of GIS in mass-movement studies, with reflections on theory and methods","volume":"94","author":"Alexander","year":"2008","journal-title":"Geomorphology"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2259","DOI":"10.3390\/rs2092259","article-title":"Landslide Catastrophes and Disaster Risk Reduction: A GIS Framework for Landslide Prevention and Management","volume":"2","author":"Assilzadeh","year":"2010","journal-title":"Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1555","DOI":"10.1080\/01431161.2019.1672904","article-title":"Landslide mapping with remote sensing: Challenges and opportunities","volume":"41","author":"Zhong","year":"2020","journal-title":"Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.earscirev.2012.02.001","article-title":"Landslide inventory maps: New tools for an old problem","volume":"112","author":"Guzzetti","year":"2012","journal-title":"Earth-Sci. 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