Crop monitoring using Sentinel-1 data: A case study from The Netherlands

Saeed Khabbazan, Paul Vermunt, Susan Steele-Dunne, Lexy Ratering Arntz, Caterina Marinetti, Dirk van der Valk, Lorenzo Iannini, Ramses Molijn, Kees Westerdijk, Corné van der Sande

Research output: Contribution to journalArticleScientificpeer-review

27 Citations (Scopus)
226 Downloads (Pure)

Abstract

Agriculture is of huge economic significance in The Netherlands where the provision of real-time, reliable information on crop development is essential to support the transition towards precision agriculture. Optical imagery can provide invaluable insights into crop growth and development but is severely hampered by cloud cover. This case study in the Flevopolder illustrates the potential value of Sentinel-1 for monitoring five key crops in The Netherlands, namely sugar beet, potato, maize, wheat and English rye grass. Time series of radar backscatter from the European Space Agency's Sentinel-1 Mission are analyzed and compared to ground measurements including phenological stage and height. Temporal variations in backscatter data reflect changes in water content and structure associated with phenological development. Emergence and closure dates are estimated from the backscatter time series and validated against a photo archive. Coherence data are compared to Normalized Difference Vegetation Index (NDVI) and ground data, illustrating that the sudden increase in coherence is a useful indicator of harvest. The results presented here demonstrate that Sentinel-1 data have significant potential value to monitor growth and development of key Dutch crops. Furthermore, the guaranteed availability of Sentinel-1 imagery in clouded conditions ensures the reliability of data to meet the monitoring needs of farmers, food producers and regulatory bodies.
Original languageEnglish
Article number1887
Number of pages24
JournalRemote Sensing
Volume11
Issue number16
DOIs
Publication statusPublished - 2019

Keywords

  • Agriculture
  • Crop monitoring
  • Phenology
  • Radar
  • SAR
  • Sentinel-1

Fingerprint Dive into the research topics of 'Crop monitoring using Sentinel-1 data: A case study from The Netherlands'. Together they form a unique fingerprint.

Cite this