{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T17:23:26Z","timestamp":1780507406674,"version":"3.54.1"},"reference-count":33,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T00:00:00Z","timestamp":1686268800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Spanish Ministry of Economy and Competitiveness (MCIN)","award":["CEX2018-000794-S (ref. 10.13039\/501100011033)"],"award-info":[{"award-number":["CEX2018-000794-S (ref. 10.13039\/501100011033)"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Coherence change detection (CCD) is a remote sensing technique used to map phenomena that, under certain conditions, can be directly related to changes in Interferometric SAR (InSAR) coherence. Mapping the areas affected by sediment transport events in arid environments is one of the most common applications of CCD. However, the reliability of these maps remains an unsolved issue. This paper focuses on verifying that InSAR coherence is indeed able to detect all the fluvial sediment transport events that have actually mobilised sediments in arid environments by building a classification model and validating its results. The proposed methodology is tested in three study areas in Salar de Atacama, Chile, using three years of Sentinel data plus a fourth year for validation, and meteorological records of rainfall, the relative humidity of the air and snow cover. The results prove that InSAR coherence can be used to remotely detect sediment transport events related to flash floods in arid environments, that it might have a greater detection ability than meteorological records and that the perpendicular baseline does have a relevant effect on the InSAR coherence that needs to be considered. All these findings will increase the reliability of maps based on InSAR coherence. In addition, the proposed method will allow focusing the mapping tasks only on the relevant dates and, once calibrated, the classification model will enable the automatised remote detection of new events.<\/jats:p>","DOI":"10.3390\/rs15123034","type":"journal-article","created":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T01:59:07Z","timestamp":1686535147000},"page":"3034","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["SAR Coherence in Detecting Fluvial Sediment Transport Events in Arid Environments"],"prefix":"10.3390","volume":"15","author":[{"given":"Joan","family":"Botey i Bassols","sequence":"first","affiliation":[{"name":"Institute of Environmental Assessment & Water Research (IDAEA), CSIC, C. Jordi Girona 18-26, 08034 Barcelona, Spain"},{"name":"Department of Civil and Environmental Engineering (DECA), Universitat Polit\u00e8cnica de Catalunya, C. Jordi Girona 1-3, 08034 Barcelona, Spain"},{"name":"Building, Architecture and Town Planning (BATir) Department, Universit\u00e9 Libre de Bruxelles (ULB), Av. F. Roosevelt 50, CPI 194\/02, 1050 Brussels, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4584-5843","authenticated-orcid":false,"given":"Carmen","family":"Bedia","sequence":"additional","affiliation":[{"name":"Institute of Environmental Assessment & Water Research (IDAEA), CSIC, C. Jordi Girona 18-26, 08034 Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mar\u00eda","family":"Cuevas-Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"Centre Tecnol\u00f2gic de Telecomunicacions de Catalunya (CTTC\/CERCA), Geomatics Research Unit, Av. Gauss 7, 08860 Castelldefels, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sonia","family":"Valdivielso","sequence":"additional","affiliation":[{"name":"Institute of Environmental Assessment & Water Research (IDAEA), CSIC, C. Jordi Girona 18-26, 08034 Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8545-5490","authenticated-orcid":false,"given":"Michele","family":"Crosetto","sequence":"additional","affiliation":[{"name":"Centre Tecnol\u00f2gic de Telecomunicacions de Catalunya (CTTC\/CERCA), Geomatics Research Unit, Av. Gauss 7, 08860 Castelldefels, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7022-2192","authenticated-orcid":false,"given":"Enric","family":"V\u00e1zquez-Su\u00f1\u00e9","sequence":"additional","affiliation":[{"name":"Institute of Environmental Assessment & Water Research (IDAEA), CSIC, C. Jordi Girona 18-26, 08034 Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9183","DOI":"10.1029\/JB094iB07p09183","article-title":"Mapping Small Elevation Changes Over Large Areas: Differential Radar Interferometry","volume":"94","author":"Gabriel","year":"1989","journal-title":"J. Geophys. 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