Monitoring Key Agricultural CROPS in the Netherlands using Sentinel-1
Susan Steele-Dunne (TU Delft - Civil Engineering & Geosciences)
Saeed Khabbazan (TU Delft - Civil Engineering & Geosciences)
Paul Vermunt (TU Delft - Civil Engineering & Geosciences)
Lexy Ratering Arntz (TU Delft - Civil Engineering & Geosciences)
Caterina Marinetti (TU Delft - Civil Engineering & Geosciences)
Lorenzo Iannini (TU Delft - Civil Engineering & Geosciences)
K. Westerdijk (Aeres Hogeschool)
C. van der Sande (NEO BV.)
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Abstract
In this study, we performed ground validation to support the interpretation of Sentinel-1 imagery during a full growing season of five key crop types in the Netherlands. Crop height and growth stage were monitored weekly in a total of 25 parcels of maize, potato, sugar beet maize and English rye grass in the province of Flevoland. Hydrometeorological data were collected throughout the season. Here, these results are used to interpret time series of Sentinel-1 data processed for the province of Flevoland. Results demonstrate that Sentinel-1 data follow the phenological stages and can be used to identify key moments in crop development. Combined with the guaranteed availability of observations regardless of cloud cover, this makes Sentinel-l data a valuable resource for agencies and commercial entities providing advice to farmers and agro-industrial co-operatives.