AQUATER – Decision Support System to manage water resources at irrigation district level in Southern Italy using remote sensing and ground information (AQUATER)
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.
TYPE AND DATE
STARTING DATE – 2005
ENDING DATE – 2009
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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.
Istituto Agronomico, Consiglio per la ricerca e sperimentazione in agricoltura (CRA); (Coordinator)
CNR-ISSIA, Bari, Italy
Università Federico II, Napoli
Università di Milano