{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T13:25:20Z","timestamp":1773840320460,"version":"3.50.1"},"reference-count":76,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2016,1,15]],"date-time":"2016-01-15T00:00:00Z","timestamp":1452816000000},"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>This article describes the principles used to generate global gap-free Leaf Area Index (LAI) time series from 2002\u20132012, based on MERIS (MEdium Resolution Imaging Spectrometer) full-resolution Level1B data. It is produced as a series of 10-day composites in geographic projection at 300-m spatial resolution. The processing chain comprises geometric correction, radiometric correction, pixel identification, LAI calculation with the BEAM (Basic ERS &amp; Envisat (A)ATSR and MERIS Toolbox) MERIS vegetation processor, re-projection to a global grid and temporal aggregation selecting the measurement closest to the mean value. After the LAI pre-processing, we applied time series analysis to fill data gaps and to filter outliers using the technique of harmonic analysis (HA) in combination with mean annual and multiannual phenological data. Data gaps are caused by clouds, sensor limitations due to the solar zenith angle (&lt;10\u00b0), topography and intermittent data reception. We applied our technique for the whole period of observation (July 2002\u2013March 2012). Validation, carried out with VALERI (Validation of Land European Remote Sensing Instruments) and BigFoot data, revealed a high degree (R2 : 0.88) of agreement on a global scale.<\/jats:p>","DOI":"10.3390\/rs8010069","type":"journal-article","created":{"date-parts":[[2016,1,16]],"date-time":"2016-01-16T03:30:25Z","timestamp":1452915025000},"page":"69","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Global Gap-Free MERIS LAI Time Series (2002\u20132012)"],"prefix":"10.3390","volume":"8","author":[{"given":"Markus","family":"Tum","sequence":"first","affiliation":[{"name":"German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), M\u00fcnchner Strasse 20, Wessling D-82234, Germany"}]},{"given":"Kurt","family":"G\u00fcnther","sequence":"additional","affiliation":[{"name":"German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), M\u00fcnchner Strasse 20, Wessling D-82234, Germany"}]},{"given":"Martin","family":"B\u00f6ttcher","sequence":"additional","affiliation":[{"name":"Brockmann Consult GmbH, Max-Planck-Strasse 2, Geesthacht D-21502, Germany"}]},{"given":"Fr\u00e9d\u00e9ric","family":"Baret","sequence":"additional","affiliation":[{"name":"Institut National de la Recherche Agronomique (INRA), Environnement M\u00e9diterran\u00e9en et Mod\u00e9lisation des Agro-Hydrosyst\u00e8mes (EMMAH UMR) 1114, Agroparc, Avignon F-84914, France"}]},{"given":"Michael","family":"Bittner","sequence":"additional","affiliation":[{"name":"German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), M\u00fcnchner Strasse 20, Wessling D-82234, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2195-4327","authenticated-orcid":false,"given":"Carsten","family":"Brockmann","sequence":"additional","affiliation":[{"name":"Brockmann Consult GmbH, Max-Planck-Strasse 2, Geesthacht D-21502, Germany"}]},{"given":"Marie","family":"Weiss","sequence":"additional","affiliation":[{"name":"Institut National de la Recherche Agronomique (INRA), Environnement M\u00e9diterran\u00e9en et Mod\u00e9lisation des Agro-Hydrosyst\u00e8mes (EMMAH UMR) 1114, Agroparc, Avignon F-84914, France"}]}],"member":"1968","published-online":{"date-parts":[[2016,1,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2452","DOI":"10.1175\/1520-0450(2000)039<2452:CACSVG>2.0.CO;2","article-title":"Calibrating a coupled SVAT\u2013vegetation growth model with remotely sensed reflectance and surface temperature\u2014A case study for the HAPEX-sahel grassland sites","volume":"39","author":"Cayrol","year":"2000","journal-title":"J. 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