Seasonal climate forecasting in combination with hydrological and crop growth models for drought forecasting

By using seasonal climate forecast in combination with hydrological and crop growth models, a drought forecast will be provided to the users for their region of interest. This forecast can be used as input to update existing regional or local drought management plans enabling the authorities to take the needed actions in order to cope with the phenomena. The same authorities can use this forecast to alert farmers of the region in order to adjust their crop production planning by selecting more drought resistant crops. This service can also be used to define sensible areas where irrigation must not be allowed because the impact of abstraction could put at risk an ecosystem survival enabling better ecosystem management. This service can also be used in order to guide the reduction of water abstraction, if necessary, by decreasing the allowable amount of water per unit of area for each user.

The service will enable users to apply an improved and more pro-active planning approach to the management of their water resources. By providing them with the decision support tools required, users can develop evidence-based water/drought management plans or review existing ones, as well as adjust the officially allowed levels of water abstracted for irrigation in cases of drought.

The data products and services offered by DIANA will be based on a combination between EO data provided by diverse satellites as well as meteorological and complementary data derived from different data sources, with a view to appropriately meet the needs of our users in terms of spatial, temporal and spectral resolution and by extension the operational requirements of the platform itself. Initially, a geometrical and radiometrical standardisation will be applied to the EO data utilised for the development of our data product line, ensuring their temporal and spatial comparability. Subsequently, based in this data, the following data products will be developed:

  • Soil moisture
  • Vegetation indices
  • Crop coefficient maps

Building upon the abovementioned data products, state-of-the-art techniques and algorithms will be utilized, to design the demand-driven services, co-created along with the users, in line with their requirements and the co-defined specifications.