The Center is engaged in the following research activities:

• (i) Pedological, hydropedological, geomineralogical, micromorphological characterization of the regolith-soil-plant-atmosphere (Re-SPA) system, (ii) multiscale characterization and functional analysis of the Re-SPA system, (iii) Application of spatial inference models of the Re-SPA system (iv) Development of environmental modeling (e.g., hydrological models, crop growth, slope stability, pollutant dispersion) of the Re-SPA system or parts thereof, (v) Creation of Web-accessible Spatial Decision Support Systems (S-DSS), (vi) Production of thematic mapping (e.g., land evaluation studies, groundwater vulnerability, nitrate vulnerability maps, soil erosion estimation maps).
  Within these research areas, CRISP produces and offers SDSS for various purposes to specific users:
• i) For viewing thematic maps (e.g., pedological maps, vineyard zoning maps, nitrate vulnerability maps, soil erosion estimation maps) and exporting informative reports.
• ii) To evaluate the impact of different agro-environmental scenarios on both production and the environment (e.g., nitrate leaching rate or other pollutants) through the use of dynamic modeling applications. In the development of decision support systems for landscape and agro-environment management, particular attention is given to protecting against soil and territory degradation processes such as erosion, loss of organic matter, soil consumption, compaction, loss of biodiversity, landslides, both point and diffuse contamination, and the loss of soil and landscape ecosystem functions and services. The Center focuses on the need to coexist primary productivity and sustainable management of environmental resources.
  
  Spatial decision support systems are also developed using geospatial cyberinfrastructures that rely on high-quality territorial databases (raster and vector), integrated with dynamic modeling applications designed to assist users in making decisions regarding land and agricultural business management The use of DSS occurs through user-friendly interfaces, and the scale of application can vary from supra-national databases (EU databases) to regional (e.g., watershed) and to detailed scales (farm area).