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Abstract

Farmers may apply for subsidies for certain crops from the Ministry of Agriculture. The subsidies differ from one harvest to the next and before granting the subsidies the Ministry checks to see, among other things, whether the crops for which the applications are made have really been planted. To differentiate the various crops you need images corresponding to the different seasons. The identification of different crops is done using aerial photographs and imagery taken by optical satellite sensors.


In our region the Earth is often hidden by clouds. Consequently, we see only white spots on the satellite images. It is thus impossible to identify the crops on images that include clouds.

Radar satellites, on the other hand, can look through clouds. So, they can probably offer a solution, although high-level technical knowledge is required to interpret them, and for best results they should be interpreted by specialists. For the time being we are examining to what extent radar images might be of help for crop identification work and other applications, such as monitoring growth.

 

OBSERVATION AREA

 

SATELLITE DATA

List of images used for the project:

This study is based on the simultaneous acquisition of satellite images and field data concerning the area’s wheat, sugar beet, maize, and potato fields.

Satellite images
The images used in this project were generated by the interferometric processor at Liege Space Centre (Centre Spatial de Liège or CSL). This facility provided twelve intensity images and six coherence images from six tandem pairs of ERS-1 / ERS-2 images (© ESA).

 


Vertically taken photograph from 4 meters height
in order to estimate the ground cover index for the
potato crop. For this image the ground cover index is 45%

Field measurements
Intensive measurements were taken in 7 wheat fields, 5 maize fields, 6 potato fields, and 6 sugar beet fields, for a total of 24 plots, on each date on which the pair of satellites made their passes. Besides measuring the vegetation’s height, ground cover index, and soil moisture, we took vertical photographs of the fields from a height of 4 metres. These pictures enabled us to estimate the cover (percentage of ground covered by the vegetation) for each plot of land and at each pass of the satellites.