| GTIF Capability | Energy efficiency of buildings |
|---|---|
| Service Owner and Provider(s) | OHB Digital Services (owner and provider of algorithm), Contacts: Dietrich Kuhn, Darko Ojdanic; EOX (provider of hosting platform & support in front end), Contact: Daniel Santillan |
| Abstract Description | Service for determination of renovation and retrofitting potential of urban neighbourhoods based on satellite-derived quantification of thermal efficiency of buildings. |
| Stakeholder(s) | City administration, real estate stakeholders |
| Point of Contact (POC) | TBD |
| Expectations | Decision makers need to identify emerging trends in heat emissions from buildings quantifiably assess the effectiveness of heat emission and thermal insulation mitigation strategies; need is amplified by legislative decisions like the German law on municipal heat planning |
| Input Data | TBD Sentinel 3 LST (main – 1km, 1-4 times per day); Sentinel 2 MSI visual (auxiliary for downscaling – 10-20m, every 8 days); Copernicus Global Land Service (CGLS) LST (5km, every 1 hour); Landsat 8/9 LST (30m, every 8 days); Modis LST (1km, 1-4 times per day); Commercial like SatVu LST (3.5m, every 1 hour); Climate/Wheater from ERA5 (28km-45km, every 1 hour) |
| Pre-processing | To enhance granularity in findings, Sentinel 3 LST data will be downscaled |
| Run-time | TBD |
| Output Information Product | Aggregate LST data from several satellites from December to April when the contrast between indoor and outdoor temperatures is most pronounced; compute statistics: min, max, median, mean, …; make trend analysis over years while taking climat. factors into account |
| GTIF legacy | None |
| Service outlet, API and/or GUI functions | API: openEO (access via subscription, paid); WebUI: interactive dashboard (eodash) – public |
| Long-term perspective (governance, sustained operations, funding) | Integration into thematic information service of cities |
| Deviations/ Reservations | None |
| Potential Problems and Identified Solutions | None |