{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:24:24Z","timestamp":1760243064301,"version":"build-2065373602"},"reference-count":8,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2015,9,2]],"date-time":"2015-09-02T00:00:00Z","timestamp":1441152000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Vajedian et al. [1] present an improved method for the derivation of deformation parameters using satellite Interferometric Synthetic Aperture Radar (InSAR) data. The method is a modification of the Small Baseline Subset (SBAS) method as implemented in the StaMPS (Stanford Method for Persistent Scatterers) software. The modification includes many steps including the filtering of the differential interferograms, integration with GPS data and advanced phase unwrapping \u201cto overcome a lot of  short- and long-wavelength artifacts that are clearly visible in StaMPS results\u201d (cf. [1], p. 8331). The authors refer to this new approach as the Improved SBAS, or ISBAS, method. [...]<\/jats:p>","DOI":"10.3390\/rs70911322","type":"journal-article","created":{"date-parts":[[2015,9,3]],"date-time":"2015-09-03T03:10:43Z","timestamp":1441249843000},"page":"11322-11323","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["On the Use of the ISBAS Acronym in InSAR Applications.  Comment on Vajedian, S.; Motagh, M.; Nilfouroushan, F. StaMPS Improvement for Deformation Analysis in Mountainous Regions: Implications for the Damavand Volcano and Mosha Fault in Alborz. Remote Sens. 2015, 7, 8323\u20138347"],"prefix":"10.3390","volume":"7","author":[{"given":"Andrew","family":"Sowter","sequence":"first","affiliation":[{"name":"Nottingham Geospatial Institute, University of Nottingham, Triumph Road, Nottingham NG7 2TU, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8134-1576","authenticated-orcid":false,"given":"Francesca","family":"Cigna","sequence":"additional","affiliation":[{"name":"British Geological Survey, Natural Environment Research Council, Nicker Hill,  Keyworth NG12 5GG, UK"}]}],"member":"1968","published-online":{"date-parts":[[2015,9,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"8323","DOI":"10.3390\/rs70708323","article-title":"StaMPS improvement for deformation analysis in mountainous regions: implications for the Damavand volcano and Mosha fault in Alborz","volume":"7","author":"Vajedian","year":"2015","journal-title":"Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1080\/2150704X.2013.823673","article-title":"DInSAR estimation of land motion using intermittent coherence with application to the South Derbyshire and Leicestershire coalfield","volume":"4","author":"Sowter","year":"2013","journal-title":"Remote Sens. Lett."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Cigna, F., Sowter, A., Jordan, C.J., and Rawlins, B.G. (2014). Intermittent Small Baseline Subset (ISBAS) monitoring of land covers unfavourable for conventional C-band InSAR: Proof-of-concept for peatland environments in North Wales, UK. Proc. SPIE, 9243.","DOI":"10.1117\/12.2067604"},{"key":"ref_4","unstructured":"Rawlins, B., Cigna, F., Sowter, A., and GMEP Team (2014, January 3\u20134). Monitoring changes in surface elevation of blanket peat and other land cover types using a novel InSAR processing technique. Proceeding of the BSSS Society Annual Meeting, Manchester, UK."},{"key":"ref_5","unstructured":"Winner 2014: Radar Constellation Challenge by Airbus Defence and Space & Hisdesat Winner & Copernicus Master. PUNNET\u2014Land Stability Monitoring & Mapping. Available online: http:\/\/www.copernicusmasters.com\/index.php?kat=winners.html&anzeige=winner_airbus_hisdesat2014.html."},{"key":"ref_6","first-page":"249","article-title":"The application of the Intermittent SBAS (ISBAS) InSAR method to the South Wales Coalfield, UK","volume":"34","author":"Bateson","year":"2015","journal-title":"Int. J. Appl. Earth Obs. Geoinform."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Novellino, A., Cigna, F., Sowter, A., Syafiudin, M.F., di Martire, D., Ramondini, M., and Calcaterra, D. (2015, January 26\u201331). Intermittent Small Baseline Subset (ISBAS) InSAR Analysis to monitor landslides in Costa Della Gaveta, southern Italy. Proceeding of the International Geoscience & Remote Sensing Symposium (IGARSS), Milan, Italy.","DOI":"10.1109\/IGARSS.2015.7326584"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Tapete, D., Cigna, F., Sowter, A., and Marsh, S. (2015, January 26\u201331). Small BAseline Subset (SBAS) pixel density vs. geology and land use in semi-arid regions in Syria. Proceeding of the International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy.","DOI":"10.1109\/IGARSS.2015.7326537"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/9\/11322\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:47:55Z","timestamp":1760215675000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/9\/11322"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,2]]},"references-count":8,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2015,9]]}},"alternative-id":["rs70911322"],"URL":"https:\/\/doi.org\/10.3390\/rs70911322","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2015,9,2]]}}}