Provides:

• Data-driven pixel-based and knowledge-driven object-based automatic classification procedures applied to Sentinel2 data for built-up mapping.
• Automatic change detection analysis focusing on agricultural and natural vegetation classes loss
• Extraction of class trends in large areas
• Support to the SDG framework, especially SDG 11 and 15

Land Consumption Rate for the period 2011–2018 as SDG 11.3.1. Indicator component

Makes use of:

• Multi-seasonal and cloud-free Sentinel-2 data
• European Settlement Map (2012)
• “LCCS App” available on aber.ac.uk.
• Copernicus European Forest layer, Natural Grasslands layer, and Urban Atlas.
• Open Street Map. Available online: https://www.openstreetmap.org
• Aerial photo and DEM available on http://www.pcn.minambiente.it/mattm/

Smart features:

• Automated analysis and extraction of class trends in large areas;
• Two alternative automatic classification approaches depending on in situ reference data availability