Overview
The project develops a scientific software platform designed to estimate and analyze water use across geolocated regions by integrating satellite data from the Copernicus Earth observation program. The system combines multispectral, radar, and hyperspectral information with in situ measurements and hydrological modelling to quantify water consumption in agriculture, urban supply, livestock production, and energy generation. Its purpose is to provide high‑resolution, sector‑specific water indicators that support sustainable resource management.
Features & Functionality
Integration of Sentinel multispectral, radar and hyperspectral datasets.
Automated estimation of evapotranspiration and surface‑water dynamics.
Sector‑specific demand modelling for agriculture, cities and energy.
Water Resource Calculator assigning consumption volumes to each sector.
Geospatial visualization tools for temporal and spatial analysis.
Exportable metrics such as m³/ha, m³/inhabitant and m³/MWh.
Modular architecture enabling future extensions and AI‑based analytics.
Target Users & Use Cases
Public water authorities: basin planning, drought monitoring, allocation decisions.
Agricultural agencies: irrigation optimization, crop water‑use assessment.
Energy operators: hydropower monitoring, reservoir management.
Urban planners: forecasting demand and evaluating supply pressures.
Researchers: hydrological modelling, climate‑impact studies, remote‑sensing analysis.
Business Model
The platform follows a hybrid model combining:
Licensing for institutions (water agencies, research centers, utilities).
Subscription‑based access to cloud processing and analytics.
Custom modules for specialized sectors (energy, agriculture, climate services).
Consulting services for regional calibration, data integration and decision‑support workflows.
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