Ukraine

Operational Implementation Plans

In situ:

Two types of ground data were collected (within ESA Sen2-Agri Project):

  • Along the roads to collect data on crop types
  • Sample (point) observations on biophysical parameters using VALERI protocol

 

Along the roads:

About 7689 fields were observed for major crop and non-crop classes (Fig. 6). Distribution of the crop classes is shown in Table 1 (Training set) and Table 2 (Validation set).

Table 1 Training set structure (in JECAM Guidelines nomenclature)


 

Table 2. Validation set structure (in JECAM Guidelines nomenclature)


Figure 6. Crop mapping datasets distribution

 

 


 

These data were used for crop type map production over JECAM test site in Ukraine and crop type map for the territory of Ukraine (within ESA Sen2-Agri Project).

 

Observations of biophysical parameters:

7 field campaigns to characterize the vegetation biophysical parameters at the Pshenichne test site were carried out (Table 3):

In total 121 sample was collected (winter wheat – 42 ESU, maize – 37 ESU, soy beans - 42 ESU ).

Table 3. Biophysical parameters measurements, collected during the field campaigns

Digital Hemispheric Photographs (DHP) images were acquired with a NIKON D70 and CANON 550D cameras. Hemispherical photos allow the calculation of LAI and FCOVER measuring gap fraction through an extreme wide-angle camera lens (i.e. 180º) (Weiss et al., 2004). The hemispherical images acquired during the field campaign are processed with the CAN-EYE software (http://www.avignon.inra.fr/can_eye) to derive LAI, FAPAR and FCOVER biophysical parameters. Ground data collection is performed according to VALERI-protocol.

The in situ biophysical values were used for producing LAI, FCOVER and FAPAR maps from optical satellite images, and provide cross-validation, and validation of global remote sensing products.

©2015 Joint Experiment for Crop Assessment and Monitoring
© HER MAJESTY THE QUEEN IN RIGHT OF CANADA SA MAJESTE LA REINE DU CHEF DU CANADA (2015)