研究目的
To demonstrate the value of Sentinel-1 data for monitoring the growth cycle of key Dutch crops.
研究成果
Sentinel-1 data reflect changes in wet biomass and structure as the plant develops and can be related to phenological stage for five important crops in the Netherlands. The prevalence of rainy conditions during the growing season underscores the potential value of using radar for crop monitoring in the Netherlands.
研究不足
The study is limited by the spatial variability in growth curves for each crop type and the influence of precipitation events on the interpretation of Sentinel-1 data.
1：Experimental Design and Method Selection:
The study utilized Sentinel-1 imagery and ground validation data to monitor crop development.
2：Sample Selection and Data Sources:
Weekly crop height, growth stage, and soil moisture data were collected in 24 agricultural parcels across 5 crop types in the Flevopolder.
3：List of Experimental Equipment and Materials:
Meteorological data were collected using various sensors including a Decagon ECH2O Rain Model ECRN-100 tipping bucket, Apogee SP-212 pyranometer, Davis Cup anemometer, and HOBOTemperature/RH Smart Sensor.
4：Experimental Procedures and Operational Workflow:
Sampling locations were visited approximately once per week to collect data.
5：Data Analysis Methods:
Sentinel-1 data were processed to extract normalized cross section timeseries in VV and VH polarizations, and the VH/VV ratio was analyzed.
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