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.

Highlights

  • The Netherlands is the second largest exporter of food and agricultural products in the world, exporting 65 billion euro of agricultural produce annually

  • Soil moisture measurements were made at the crest and trough of the soil mounds

  • Where the BBCH stage differed across parcels, the “average” value is indicated

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Summary

Introduction

The Netherlands is the second largest exporter of food and agricultural products in the world, exporting 65 billion euro of agricultural produce annually. Weather station data at Eelde (the Netherlands) to highlight the influence of cloud cover on the availability of optical imagery in The Netherlands They showed that there is about a 20% chance of obtaining a clear (

Study Area
Hydrometeorological Ground Data
Ground Data at 24 Parcels
Sentinel-1 Data
Weather Station Data
Interception and Dew
Soil Moisture
Sentinel-1 Time Series
Potato
Sugar Beet
Winter Wheat
English Rye Grass
Closure Date
Sugar Beet Harvest Date
Conclusions

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