AQUATER – Decision Support System to manage water resources at irrigation district level in Southern Italy using remote sensing and ground information (AQUATER)

ABSTRACT

AQUATER is a 5-year (2005-2010) research project funded by the Italian Ministry of Agriculture and Forestry Policies (contract nr. 209/7303/05) in the framework of Research & Development addressed to Southern Italy areas.

The innovative aspect of this Project is linking Remote Sensing Information with Soil & Plant Information and Crop Simulation Models to build a Decision Support System aimed at the best water management at irrigation district scale.

PRINCIPAL INVESTIGATOR
FRANCESCO MATTIA

DATA SHEET

   TYPE AND DATE
   NATIONAL PROJECT
   STARTING DATE – 2005
   ENDING DATE – 2009

COST
TOTAL COST €: …
TOTAL FUNDING € …

CNR ISSIA
COST € ..
FUNDING € …

SUMMARY

The tools and the methodologies that have been used are:

  • remote sensing images (visible, infrared, microwaves), topographic maps, soil and land use maps at different spatial and temporal scales;
  • geostatistic methodologies (kriking, co-kriking, factor kriging, stochastic simulation);
  • geographic Information Systems (ArcView ©);
  • ground truth measurements: land use, canopy and soil temperature, soil and plant water status, Normalized Difference Vegetation Index, Crop Water Stress Index, Leaf Area Index, actual evapotranspiration, crop coefficients, crop yield, agro-ecological indicators;
  • crop simulation models (i.e., DSSAT, CropSyst, EPIC, SWAP, SALUS-TERRAE).

The Project is realized in three areas, that are very important water districts for southern and national agriculture: Capitanata plain, Ionic coastal plain and Sele river plain.
The aims of the Project are:
a)   to produce a Decision Support System (DSS) combining remote sensing information, spatial data and simulation models to manage water resources in irrigation districts;
b)   to simulate irrigation scenarios to evaluate the effects of water stress on crop yield using agro-ecological indicators.
The final product will be a DSS with the purpose of integrating remote sensing images, to estimate crop and soil variables related to drought, to assimilate these variables into a simulation model at district scale and, finally, to estimate evapotranspiration, plant water status and drought indicators.

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SOURCE OF FUNDING

MinPolAgricoleForestali

PARTNERSHIP

Istituto Agronomico, Consiglio per la ricerca e sperimentazione in agricoltura (CRA); (Coordinator)
CNR-ISSIA, Bari, Italy
Università Federico II, Napoli
Università di Milano