Automated Processing of Sentinel-2 Products for Time-Series Analysis in Grassland Monitoring

  • Tom HardyEmail author
  • Marston Domingues Franceschini
  • Lammert Kooistra
  • Marcello Novani
  • Sebastiaan Richter
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 554)


Effective grassland management practices require a good understanding of soil and vegetation properties, that can be quantified by farmers’ knowledge and remote sensing techniques. Many systems have been proposed in the past for grassland monitoring, but open-source alternatives are increasingly being preferred. In this paper, a system is proposed to process data in an open-source and automated way. This system made use of Sentinel-2 data to support grassland management at Haus Riswick in the region around Kleve, Germany, retrieved with help of a platform called Sentinelsat that was developed by ESA. Consecutive processing steps consisted of atmospheric correction, cloud masking, clipping the raster data, and calculation of vegetation indices. First results from 2018 resembled the mowing regime of the area with four growing cycles, although outliers were detected due to a lack of data caused by cloud cover. Moreover, that year’s extremely dry summer was visible in the time-series pattern as well. The proposed script is a primary version of a processing chain, which is suitable to be further expanded for more advanced data pre-processing and data analysis in the future.


Grassland monitoring Open-source system Sentinel-2 Cloud cover Time-series analysis 



This work was supported by the SPECTORS project (143081), which is funded by the European cooperation program INTERREG Deutschland-Nederland.


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Copyright information

© IFIP International Federation for Information Processing 2020

Authors and Affiliations

  • Tom Hardy
    • 1
    Email author
  • Marston Domingues Franceschini
    • 1
  • Lammert Kooistra
    • 1
  • Marcello Novani
    • 1
  • Sebastiaan Richter
    • 2
  1. 1.Laboratory of Geo-Information Science and Remote SensingWageningen UniversityWageningenThe Netherlands
  2. 2.Versuchs- und Bildungszentrum LandwirtschaftHaus RiswickKleveGermany

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