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The shift in the interferometric phase caused by the refraction of the microwave signal penetrating the snow layer is isolated and exploited to generate maps of temporal variation of SWE from coherent SAR interferograms. The main advantage of the proposed methodology with respect to those based on the inversion of microwave SAR backscattering models is its simplicity and the reduced number of required in-situ SWE measurements. The maps, updated up to every 6 days, can attain a spatial resolution up to 20 m with sub-centimetre \u0394SWE measurement accuracy in any weather and sun illumination condition. We present results obtained using the proposed methodology over a study area in Finland. These results are compared with in-situ measurements of \u0394SWE, showing a reasonable match with a mean accuracy of about 6 mm.<\/jats:p>","DOI":"10.2478\/johh-2018-0003","type":"journal-article","created":{"date-parts":[[2018,11,7]],"date-time":"2018-11-07T04:14:31Z","timestamp":1541564071000},"page":"93-100","source":"Crossref","is-referenced-by-count":42,"title":["On The Estimation of Temporal Changes of Snow Water Equivalent by Spaceborne Sar Interferometry: A New Application for the Sentinel-1 Mission"],"prefix":"10.2478","volume":"67","author":[{"given":"Vasco","family":"Conde","sequence":"first","affiliation":[{"name":"Instituto Dom Luiz (IDL), Universidade de Lisboa, 1749-016 Lisboa , Portugal"}]},{"given":"Giovanni","family":"Nico","sequence":"additional","affiliation":[{"name":"Consiglio Nazionale delle Ricerche, Istituto per le Applicazioni del Calcolo (CNR-IAC), 70126 Bari , Italy"}]},{"given":"Pedro","family":"Mateus","sequence":"additional","affiliation":[{"name":"Instituto Dom Luiz (IDL), Universidade de Lisboa, 1749-016 Lisboa , Portugal"}]},{"given":"Jo\u00e3o","family":"Catal\u00e3o","sequence":"additional","affiliation":[{"name":"Instituto Dom Luiz (IDL), Universidade de Lisboa, 1749-016 Lisboa , Portugal"}]},{"given":"Anna","family":"Kontu","sequence":"additional","affiliation":[{"name":"Finnish Meteorological Institute (FMI), Sodankyl\u00e4, Finland. 4 Department of Physics, P.O. Box 64, FI-00014 University of Helsinki , Finland"}]},{"given":"Maria","family":"Gritsevich","sequence":"additional","affiliation":[{"name":"Department of Physics, P.O. Box 64, FI-00014 University of Helsinki , Finland"},{"name":"Institute of Physics and Technology, Ural Federal University, Ekaterinburg , Russia"},{"name":"Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow , Russia"}]}],"member":"374","published-online":{"date-parts":[[2018,11,7]]},"reference":[{"key":"2026042819430085021_j_johh-2018-0003_ref_001_w2aab3b7b1b1b6b1ab1ab1Aa","doi-asserted-by":"crossref","unstructured":"Bavera, D., De Michele, C., 2009. Snow water equivalent estimation in the Mallero basin using snow gauge data and MODIS images and fieldwork validation. 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