Colditz, Rene and Conrad, Christopher and Dech, Stefan (2011) Stepwise automated pixel-based generation of time series using ranked data quality indicators. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3 (4), pp. 272-280. DOI: 10.1109/JSTARS.2010.2048703. ISSN 1939-1404 .
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High-quality time series of remote sensing data are needed for long-term global change studies. Since newer sensors such as MODIS provide pixel-level data quality indicators, these datasets can be employed to filter time series and interpolate invalid data with statistical or contextual methodologies. This study presents a novel automated technique for time-series generation using ranked data quality indicators and stepwise temporal interpolation of short data gaps. The methodology focuses exclusively on the temporal characteristics of each pixel as they would have been observed with good observations. The methodology is exemplarily applied to MODIS NDVI data of the entire country of Germany. Multiple time series, also those generated with other techniques, were compared with a reference set to evaluate the performance of selected parameters. The automated time-series generation approach is less time consuming, and, if parameters are specified with care, the quality is comparable to other approaches.
|Title:||Stepwise automated pixel-based generation of time series using ranked data quality indicators|
|Journal or Publication Title:||IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing|
|In Open Access:||No|
|In ISI Web of Science:||Yes|
|Page Range:||pp. 272-280|
|Keywords:||Data quality, Germany, MODIS, time-series comparison, time-series generation|
|HGF - Research field:||Aeronautics, Space and Transport (old)|
|HGF - Program:||Space (old)|
|HGF - Program Themes:||W EO - Erdbeobachtung|
|DLR - Research area:||Space|
|DLR - Program:||W EO - Erdbeobachtung|
|DLR - Research theme (Project):||W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)|
|Location:||other , Oberpfaffenhofen|
|Institutes and Institutions:||German Remote Sensing Data Center|
|Deposited By:||Julian Zeidler|
|Deposited On:||10 Feb 2011 10:22|
|Last Modified:||07 Feb 2013 20:21|
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