Nowadays, Land Degradation Neutrality (LDN) is on the political agenda as one of the main objectives in order to respond to the increasing degradation processes affecting soils and territories. Nevertheless, proper implementation of environmental policies is very difficult due to a lack of the operational, reliable and easily usable tools necessary to support political decisions when identifying problems, defining the causes of degradation and helping to find possible solutions. It is within this framework that this paper attempts to demonstrate that a new type of Spatial Decision Support System (S-DSS) that is developed on a Geospatial Cyberinfrastructure (GCI) might provide a valuable web-based operational tool which could be offered to EU administrative units (e.g. municipalities) so that they may better evaluate the state and the impact of land degradation in their territories. The land degradation data utilized were obtained from a platform named Trends.Earth, designed to monitor land change by using earth observations, and post-processed to correct some of the major artefacts relating to urban areas. The S-DSS ([www.landsupport.eu](http://www.landsupport.eu/)) has also been designed to encourage use by multi-user communities (from citizens to scholars, associations and public bodies). Moreover, it supports the acquisition, management and processing of both static and dynamic data, together with data visualization and computer on-the-fly applications, in order to perform modelling, all of which is potentially accessible via the Web. The Land Degradation tool, is designed to support land planning and management by producing data, statistics, reports and maps for any EU area of interest. It is in line with this LDD special issue which requires to report on “ advanced approaches and methods in land-based geoSpatial Decision Support Systems… implementation of S-DSS to address the various sustainable land uses in different sectors such as …environmental and human health”. The tool will be demonstrated through a short selection of practical case studies where data, table and stats are provided to challenge land degradation at different spatial extents. Currently there are WEBGIS system to visualise land degradation maps but – to our knowledge – this is the first SDSS tool enabling a customized LDN reporting at any NUTS level for the entire EU territory.

One of the current priorities of the new Common Agriculture Policy (CAP) is to overcome the serious environmental prob- lems raised by intensive agriculture. Despite the steps for- ward guaranteed by new technologies and innovations (e.g., IoT, precision agriculture), the availability of real operational tools, helping the member states to fulfill the high require- ments and expectations of the new CAP, is still lacking. To fill this gap, in the H2020 LandSupport project, the web- based best practice tool was developed to identify, on-the- fly, optimized agronomic solutions. The core of the tool is the ARMOSA process-based model, which dynamically sim- ulates several combinations of cropping systems, crops, ni- trogen fertilization rates, tillage solutions and crop residues managements for a specific region of interest. To identify the optimized solutions, it provides a synthetic “Best Practice in- dex”, which combines the production, nitrate leaching and SOC_change, according to the end-user dynamic requests. The tool was implemented for three case studies: March- feld Region in Austria, Zala County in Hungary, Campania Region in Italy, which are representative of a variety of dif- ferent pedoclimatic conditions. In the present work, three possible uses are shown to i) maximize the crop production; ii) evaluate the use of different crops and related practices; iii) evaluate the best practices in the nitrate vulnerable zones. The tool offers a close representation of actual and optimized cropping systems, with the possibility of further applications in other regional case studies, and in tailored scenarios, in which users enter their own input data.