Tum, Markus and Günther, Kurt P. and Böttcher, Martin and Baret, Frederic and Bittner, Michael and Brockmann, Carsten and Weiss, Marie (2016) Global Gap-Free MERIS LAI Time Series (2002-2012). Remote Sensing, 8 (69), pp. 1-19. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs8010069. ISSN 2072-4292.
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Abstract
This article describes the principles used to generate global gap-free Leaf Area Index (LAI) time series from 2002–2012, 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 & 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 (<10°), topography and intermittent data reception. We applied our technique for the whole period of observation (July 2002–March 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.
Item URL in elib: | https://elib.dlr.de/102590/ | ||||||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||||||
Title: | Global Gap-Free MERIS LAI Time Series (2002-2012) | ||||||||||||||||||||||||
Authors: |
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Date: | 15 January 2016 | ||||||||||||||||||||||||
Journal or Publication Title: | Remote Sensing | ||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||||||
Gold Open Access: | Yes | ||||||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||||||
Volume: | 8 | ||||||||||||||||||||||||
DOI: | 10.3390/rs8010069 | ||||||||||||||||||||||||
Page Range: | pp. 1-19 | ||||||||||||||||||||||||
Publisher: | Multidisciplinary Digital Publishing Institute (MDPI) | ||||||||||||||||||||||||
ISSN: | 2072-4292 | ||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||
Keywords: | Leaf Area Index; MERIS; time series analysis | ||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||||||
DLR - Research theme (Project): | R - Vorhaben Fernerkundung der Landoberfläche (old) | ||||||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institutes and Institutions: | German Remote Sensing Data Center > Land Surface German Remote Sensing Data Center > Atmosphere | ||||||||||||||||||||||||
Deposited By: | Tum, Markus | ||||||||||||||||||||||||
Deposited On: | 29 Jan 2016 11:18 | ||||||||||||||||||||||||
Last Modified: | 14 Dec 2019 04:26 |
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