What we provide

	

					

				

										
									
				

										
Cost efficiency
															
Using EO data in a statistical framework to maximize the statistics accuracy (i.e. low variance) at low cost (free data, «simple» methods).
														
			
			
	
	

					

				

										
									
				

										
Spatial Disaggregation
															
Using EO data to allow statistics disaggregation at over smaller administrative areas (e.g. province, county).
														
			
			
	
	

					

				

										
									
				

										
Sampling design
															
Using EO data to support the building of an area sampling frame and to find the optimal samples size and segments size.
														
			
			
	
	

					

				

										
									
				

										
Estimates Timeliness
															
Using EO data to forecast statistics before the official publication and possibly, provide seasonal estimates.
														
			
			
	
	

					

				

										
									
				

										
Reduce uncertainties in survey data
															
Using EO data to support the calculation of specific indicators of interest for the SDG’s reporting.
														
			
			
	
	

					

				

										
									
				

										
SDG's reporting
															
Using EO data to contribute to increasing the quality of the ground data collected through official agricultural surveys.