Mike Wooding
(Remote Sensing Applications Consultants Ltd)
RSAC and CEH are working on an InnovateUK supported project called Land Cover Plus which is aimed at producing an annual crop map of the UK based on the use of Sentinel-1 SAR data, as an add-on layer to the National Land Cover Map.
The ESA AgriSAR 2009 programme demonstrated the potential of C-band SAR data for crop mapping using time series Radarsat data for test sites in The Netherlands, Canada and Spain. This has been taken forward in the UK using a time series of Radarsat images from 2014. Changes in the backscatter of different crop types through the growing season were investigated using a large ground data set collected in 3 test areas, and a crop classification technique developed based on matching temporal backscatter profiles. All the main arable crops are able to be separated including wheat, barley, oilseed rape, potatoes, sugar beet and field beans, but it is not possible to distinguish between different vegetable crops. Crop classification accuracies of around 90% have been obtained for all test areas.
A large programme is being carried out in 2015 processing Sentinel-1 data for the whole of the UK. Measurements are being taken from a time series of 15-20 dates, and ground data have been collected for a full range of crops over the whole of the UK. The UK National Crop Map is expected be available for release at the time of the workshop in November 2015.
Summary
RSAC and CEH are working on an InnovateUK supported project called Land Cover Plus which is aimed at producing an annual crop map of the UK based on the use of Sentinel-1 SAR data, as an add-on layer to the National Land Cover Map.
The ESA AgriSAR 2009 programme demonstrated the potential of C-band SAR data for crop mapping using time series Radarsat data for test sites in The Netherlands, Canada and Spain. This has been taken forward in the UK using a time series of Radarsat images from 2014. Changes in the backscatter of different crop types through the growing season were investigated using a large ground data set collected in 3 test areas, and a crop classification technique developed based on matching temporal backscatter profiles. All the main arable crops are able to be separated including wheat, barley, oilseed rape, potatoes, sugar beet and field beans, but it is not possible to distinguish between different vegetable crops. Crop classification accuracies of around 90% have been obtained for all test areas.
A large programme is being carried out in 2015 processing Sentinel-1 data for the whole of the UK. Measurements are being taken from a time series of 15-20 dates, and ground data have been collected for a full range of crops over the whole of the UK. The UK National Crop Map is expected be available for release at the time of the workshop in November 2015.
Mike Wooding
(Remote Sensing Applications Consultants Ltd)
Dr
Daniel Morton
(Centre for Ecology and Hydrology)
Mr
Timothy Pearson
(Remote Sensing Applications Consultants Ltd)
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