Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.
Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.
Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.
Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.
Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.
Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.
Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.
In der <b> Fernerkundung - Höhenmodelle</b> werden Höhendaten der Freien Hansestadt Hamburg als hochwertige Geodaten bereitgestellt. Unterschiede in den Höhenmodellen: Kategorisch wird zwischen <b>Geländemodellen und Oberflächenmodellen </b> unterschieden. - Geländemodelle: Abbildung des direkten Erdbodens ohne Höhen-Objekte (Gebäude, Baumbestände, etc.). - Oberflächenmodelle: Abbildung der Erdoberfläche inklusive Höhen-Objekte (Gebäude, Baumbestände, etc.). Auf freier Fläche stimmen das Geländemodell und Oberflächenmodell bei gleichem Zeitpunkt überein. Wie wird die Höhe gemessen? Zum Einsatz kommen unterschiedliche Aufnahmesysteme (<b>Drohne, Flugzeug, Satellit</b>) mit unterschiedlicher Sensorik (Laserscanning, Radar-, Multispektral-Sensorik). Jede Kombination bringt verschiedene Vor- und Nachteile mit sich, was sich in der räumlichen Auflösung, zeitlichen Auflösung (Aktualität) und den Nutzungsbedingungen widerspiegelt. Sind die Unterschiede nachteilig? Keinesfalls! Die Vielfalt ermöglicht es erst, eine Vielzahl an Anwendungsbereichen abzudecken. Somit gibt es für jeden Anwendungsfall einen geeigneten Datensatz. Die Höhendaten unterstützen bei der Dokumentation von Veränderungen (#Change Detection), der städtischen Planung sowie des Monitorings von Umweltentwicklungen und Infrastruktur. Sie können sowohl als Datengrundlage für KI-Trainingsdaten als auch zur direkten Betrachtung der urbanen Landschaft genutzt werden. Unser Ziel ist es, die hochwertigen Daten nicht nur Fachleuten, sondern auch der Öffentlichkeit zugänglich zu machen – leicht verständlich und nutzerfreundlich (#Geoportal Hamburg). <b> → Ein Blick in die Daten lohnt sich.</b>
In der <b> Fernerkundung - Luftbilder</b> werden detaillierte Luftbilder der Freien und Hansestadt Hamburg als hochwertige Geodaten bereitgestellt. Luftbilder als Geodaten? Bei Luftbildern handelt es sich nicht um herkömmliche Fotografien, sondern um qualitative Abbildungen der Erdoberfläche, die lagegenau verortet sind. Ein unverzichtbares Werkzeug der Erdbeobachtung. Wie werden die Bilder aufgenommen? Zum Einsatz kommen unterschiedliche Aufnahmesysteme (<b>Pkw, Drohne, Flugzeug, Satellit</b>) mit unterschiedlicher Sensorik (RGB-, Multispektral-Sensorik). Jede Kombination bringt verschiedene Vor- und Nachteile mit sich, was sich in der räumlichen Auflösung (GSD), zeitlichen Auflösung (Aktualität), spektralen Auflösung (Anzahl der Kanäle) und den Nutzungsbedingungen widerspiegelt. Sind die Unterschiede nachteilig? Keinesfalls! Die Vielfalt ermöglicht es erst, eine Vielzahl an Anwendungsbereichen abzudecken. Somit gibt es für jeden Anwendungsfall einen geeigneten Datensatz. Die Aufnahmen unterstützen bei der Dokumentation von Veränderungen (#Change Detection), der städtischen Planung sowie des Monitorings von Umweltentwicklungen und Infrastruktur. Sie können sowohl als Datengrundlage für KI-Trainingsdaten als auch zur direkten Betrachtung der urbanen Landschaft genutzt werden. Unser Ziel ist es, diese hochwertigen Daten nicht nur Fachleuten, sondern auch der Öffentlichkeit zugänglich zu machen – leicht verständlich und nutzerfreundlich (#Geoportal Hamburg). <b>→ Ein Blick in die Daten lohnt sich.</b>
Exposure to ultrafine aerosol particles (UFPs) can cause adverse effects on human health, local environment and climate. Air traffic is associated with the emission of high numbers of UFPs, which results in increased UFP number concentrations close to airports. So far, the spatial distribution and variability of UFPs is poorly understood in the atmospheric boundary layer. The uncrewed aerial system (UAS) ALADINA (Application of Lightweight Aircraft for Detecting In-situ Aerosols, e.g. Altstädter et al., 2015) was operated close to the largest airport in Germany at Frankfurt airport (FRA) between 11 and 19 October 2024. The dataset provides airborne in-situ observations of the spatial distribution of aerosol particle number concentration with different sizes and meteorological parameters of temperature, humidity, wind, surface temperature and short-wave irradiance, as well as accurate position and orientation of ALADINA. Data are available from 26 measurement flights, comprising a number of 122 vertical profiles between ground and a maximum altitude of 750 m above mean sea level (ASL) and about 70 horizontal legs at different but constant altitude, e.g. in 100 m altitude intervals. Details about the ALADINA measurements will be provided in a publication (Harm-Altstädter et al., in prep.) soon.
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