{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:27:54Z","timestamp":1760236074759,"version":"build-2065373602"},"reference-count":49,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T00:00:00Z","timestamp":1634515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003030","name":"Agency for Administration of University and Research","doi-asserted-by":"publisher","award":["2020 FISDU 00455"],"award-info":[{"award-number":["2020 FISDU 00455"]}],"id":[{"id":"10.13039\/501100003030","id-type":"DOI","asserted-by":"publisher"}]},{"name":"AGENCIA ESTATAL DE INVESTIGACION","award":["PGC2018-094132-B-I00"],"award-info":[{"award-number":["PGC2018-094132-B-I00"]}]},{"name":"H2020 ACTRIS-IMP","award":["871115"],"award-info":[{"award-number":["871115"]}]},{"name":"H2020 ATMO-ACCESS","award":["101008004"],"award-info":[{"award-number":["101008004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study presents a new method for correcting the six degrees of freedom motion-induced error in ZephIR 300 floating Doppler Wind-LiDAR-derived data, based on a Robust Adaptive Unscented Kalman Filter. The filter takes advantage of the known floating Doppler Wind-LiDAR (FDWL) dynamics, a velocity\u2013azimuth display algorithm, and a wind model describing the LiDAR-retrieved wind vector without motion influence. The filter estimates the corrected wind vector by adapting itself to different atmospheric and motion scenarios, and by estimating the covariance matrices of related noise processes. The measured turbulence intensity by the FDWL (with and without correction) was compared against a reference fixed LiDAR over a 25-day period at \u201cEl Pont del Petroli\u201d, Barcelona. After correction, the apparent motion-induced turbulence was greatly reduced, and the statistical indicators showed overall improvement. Thus, the Mean Difference improved from \u22121.70% (uncorrected) to 0.36% (corrected), the Root Mean Square Error (RMSE) improved from 2.01% to 0.86%, and coefficient of determination improved from 0.85 to 0.93.<\/jats:p>","DOI":"10.3390\/rs13204167","type":"journal-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T21:31:26Z","timestamp":1634765486000},"page":"4167","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["A Robust Adaptive Unscented Kalman Filter for Floating Doppler Wind-LiDAR Motion Correction"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7398-925X","authenticated-orcid":false,"given":"Andreu","family":"Salcedo-Bosch","sequence":"first","affiliation":[{"name":"CommSensLab-UPC, Unidad de Excelencia Mar\u00eda de Maeztu, Department of Signal Theory and Communications, Universitat Polit\u00e8cnica de Catalunya (UPC), E-08034 Barcelona, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8614-4408","authenticated-orcid":false,"given":"Francesc","family":"Rocadenbosch","sequence":"additional","affiliation":[{"name":"CommSensLab-UPC, Unidad de Excelencia Mar\u00eda de Maeztu, Department of Signal Theory and Communications, Universitat Polit\u00e8cnica de Catalunya (UPC), E-08034 Barcelona, Spain"},{"name":"Institut d\u2019Estudis Espacials de Catalunya (IEEC), Universitat Polit\u00e8cnica de Catalunya, E-08034 Barcelona, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4207-7922","authenticated-orcid":false,"given":"Joaquim","family":"Sospedra","sequence":"additional","affiliation":[{"name":"Laboratori d\u2019Enginyeria Maritima, Universitat Polit\u00e8cnica de Catalunya, E-08034 Barcelona, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,18]]},"reference":[{"key":"ref_1","unstructured":"Global Wind Energy Council (2019). 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