Tunisia

Operational Implementation Plans

  • Crop identification ground campaigns for land cover classification training. 
Date Number of Plots
18/09/2015 72 plots
21/01/2016 74 plots
24/05/2016 151 plots
21/07/2016 135 plots
  • Soil roughness and moisture observations on bare soil plots for SAR images processing validation (Sentinel-1), 23 plots every 12 days, winter 2015 to summer 2016
  • Vegetation traits (LAI, fraction cover, biomass and yield on 15 fields) collected on cereals every month. 


Figure 2: in situ data

  • Three permanent meteorological stations (including Temperature, Humidity, Wind Speed, Net Radiation, Rainfall)
  • One Flux station on rainfed olive orchard (1/01 – 31/12/2016).
  • Soil moisture probes with automatic acquisition (8 sites on dry cultivation)
  • Surveys of monthly irrigation volumes at the perimeter scale

 

 

Plans for Next Growing Season:

We will use Sentinel-2A (2B launched in March), Sentinel-1A and B and Landsat TM images in 2017. We will test classification methods to improve the land use mapping to produce intermediate maps and introduce bare soils characteristics in relationships with pratices. We will experiment our tools as SAMIR with these operational data to validate the model on large areas. We intend also to carry on the use of medium resolution time series (MODIS, MOD13Q1 products) with Thermal data (Landsat 8) and the new Sentinel-1 data to improve the soil water compartment control.

©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)