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Enhancing Macroeconomic Statistics with Sentinel-1: Monitoring Automotive Production in Germany for Timely Economic Indicators

Kraft, Franziska Katharina und Martinis, Sandro und Plank, Simon Manuel und Delgado Blasco, José Manuel (2026) Enhancing Macroeconomic Statistics with Sentinel-1: Monitoring Automotive Production in Germany for Timely Economic Indicators. StatEO26, 2026-05-05 - 2026-05-07, Frascati (Rom), Italien.

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Kurzfassung

The growing need for timely economic indicators, particularly during periods of economic uncertainty, has highlighted the limitations of traditional macroeconomic indicators, which often suffer from substantial reporting delays. Earth Observation (EO) offers promising opportunities to complement official statistics by providing economic proxies in near real-time. In this study, we examine the potential of Sentinel-1 Synthetic Aperture Radar (SAR) data to monitor production activity in Germany's automotive sector, a critical component of the national economy. Leveraging the advantages of Sentinel-1, including weather-independent data acquisition and revisit rates of a few days over Germany, we developed an approach to estimate production levels through continuous monitoring of production parking lot occupancy at 18 domestic automotive production sites. Analysis covering data from October 2014 to June 2024 reveals a relatively strong correlation of 0.74 between derived parking lot occupancy metrics and production figures from the German Association of the Automotive Industry (VDA). The results highlight both the potential and challenges of satellite-derived economic indicators. While the approach successfully captures overall production trends with significantly reduced latency compared to traditional reporting cycles, limitations remain in deriving production levels solely based on production parking lot occupancy. Detecting short-term production disruptions is particularly challenging due to data limitations and site-specific operational variations. Nonetheless, this study demonstrates how EO can enhance the timeliness of key economic indicators, thereby better capturing the fast-paced nature of global economic developments. Future work should focus on methodological refinement and extension to other economic sectors, including retail or tourism, where occupancy patterns of parking lots could serve as reliable proxies for economic output.

elib-URL des Eintrags:https://elib.dlr.de/224441/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Enhancing Macroeconomic Statistics with Sentinel-1: Monitoring Automotive Production in Germany for Timely Economic Indicators
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Kraft, Franziska Katharinafranziska.kraft (at) dlr.dehttps://orcid.org/0009-0001-3956-2233NICHT SPEZIFIZIERT
Martinis, SandroSandro.Martinis (at) dlr.dehttps://orcid.org/0000-0002-6400-361XNICHT SPEZIFIZIERT
Plank, Simon ManuelSimon.Plank (at) dlr.dehttps://orcid.org/0000-0002-5793-052XNICHT SPEZIFIZIERT
Delgado Blasco, José ManuelEuropean Space AgencyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2026
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:akzeptierter Beitrag
Stichwörter:economic indicator, real-time economic monitoring, Earth Observation, Sentinel-1, automotive production
Veranstaltungstitel:StatEO26
Veranstaltungsort:Frascati (Rom), Italien
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:5 Mai 2026
Veranstaltungsende:7 Mai 2026
Veranstalter :European Space Agency
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Fernerkundung u. Geoforschung, R - Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Georisiken und zivile Sicherheit
Hinterlegt von: Kraft, Franziska Katharina
Hinterlegt am:07 Jul 2026 10:12
Letzte Änderung:07 Jul 2026 10:12

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