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Remote Sensing Time Series pp 141–158Cite as

TIMESAT: A Software Package for Time-Series Processing and Assessment of Vegetation Dynamics

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Part of the book series: Remote Sensing and Digital Image Processing ((RDIP,volume 22))

Abstract

Large volumes of data from satellite sensors with high time-resolution exist today, e.g. Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS), calling for efficient data processing methods. TIMESAT is a free software package for processing satellite time-series data in order to investigate problems related to global change and monitoring of vegetation resources. The assumptions behind TIMESAT are that the sensor data represent the seasonal vegetation signal in a meaningful way, and that the underlying vegetation variation is smooth. A number of processing steps are taken to transform the noisy signals into smooth seasonal curves, including fitting asymmetric Gaussian or double logistic functions, or smoothing the data using a modified Savitzky-Golay filter. TIMESAT can adapt to the upper envelope of the data, accounting for negatively biased noise, and can take missing data and quality flags into account. The software enables the extraction of seasonality parameters, like the beginning and end of the growing season, its length, integrated values, etc. TIMESAT has been used in a large number of applied studies for phenology parameter extraction, data smoothing, and general data quality improvement. To enable efficient analysis of future Earth Observation data sets, developments of TIMESAT are directed towards processing of high-spatial resolution data from e.g. Landsat and Sentinel-2, and use of spatio-temporal data processing methods.

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Authors and Affiliations

  1. Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden

    Lars Eklundh

  2. Group for Materials Science and Applied Mathematics, Malmö University, Malmö, Sweden

    Per Jönsson

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  1. Lars Eklundh
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  2. Per Jönsson
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Correspondence to Lars Eklundh .

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  1. German Remote Sensing Data Center, DFD, German Aerospace Center, DLR, Wessling, Germany

    Claudia Kuenzer

  2. German Remote Sensing Data Center, DFD, German Aerospace Center, DLR, Wessling, Germany

    Stefan Dech

  3. Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria

    Wolfgang Wagner

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Eklundh, L., Jönsson, P. (2015). TIMESAT: A Software Package for Time-Series Processing and Assessment of Vegetation Dynamics. In: Kuenzer, C., Dech, S., Wagner, W. (eds) Remote Sensing Time Series. Remote Sensing and Digital Image Processing, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-15967-6_7

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