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203 Datensätze

Luft- und Raumfahrt

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Geodaten der deutschen Verkehrsflugplätze

Geodaten der deutschen Verkehrsflugplätze. Enthält Boundary, Runways, Taxiways, Aprons, Buildings und Airport-Infrastruktur. Extrahierte Daten aus der OSM Datenbank, aufbereitet im GeoPackage Format (GPKG)

mFUND-Projekt: OMNyFlug, FKZ: 19F2100B

Luft- und Raumfahrt
Bereitgestellt durch

m-click.aero GmbH

Art des Datenzugangs

Dateidownload

Aktualität der Datensatzbeschreibung

Mon Mar 06 11:04:53 GMT 2023

Raumbezug

InSAR-Befliegung 2022

die im GeoWAM-Forschungsprojekt entstandenen finalen Produkte aus der InSAR-Radarbefliegung des DLR, der Bildanalysen des KIT und der DGM-Erstellung der BfG

Beschreibung des Forschungsprojekts auf: https://geowam.net/ incl. Liste der Veröffentlichungen.

mFUND-Projekt: GeoWAM, FKZ: 19F2078A

Luft- und Raumfahrt
Wasserstraßen und Gewässer
Bereitgestellt durch

Disy Informationssysteme GmbH

Art des Datenzugangs

Dateidownload

Aktualität der Datensatzbeschreibung

Mon Mar 06 11:04:53 GMT 2023

Zeitbezug der Daten

Tue Jul 02 22:00:00 GMT 2019 — Tue Mar 30 22:00:00 GMT 2021

Aktualisierungsfrequenz

Jährlich

Raumbezug

Kommunikationsdaten Drohnen-Testflüge

Im Rahmen des mFUND Projektes ADIS wurden Testflüge und Fahrten mit verschiedenen UAVs aufgezeichnet. Die Daten wurden mittels des ADIS Downlinks erfasst. Diese werden als KMZ-Datei (oder CSV) zur Verfügung gestellt.

Es handelt sich um drei Testflüge und zwei Testfahrten. Die Verwendeten Drohnen werden im PDF ADIS-Copter beschrieben, Bilder vom RC Buggy ist in der PDF-Datei ADIS-Rover.
Die Drohnen wurden im Modus Höhe halten geflogen daher enthalten ihre Daten nur die höhen Änderungen zur eingestellten Höhe.

ADIS1 wurde in einer Höhe von ca. 60 m geflogen. ADIS2 und ADIS3 bei einer Höhe von ca. 40 m.
Die Höhe von ADIS4 entspricht der Höhe über NN.

Die empfangenen Daten enthalten die folgenden Informationen:

Name: Kennung des UV
Lat = Latitude
Long = Longitude
Speed = momentane Geschwindigkeit [km/h]
Alt = Altitude Höhe [m]
Hdg = Magnetic heading (Steuerkurs)
RSSI = Received Signal Strength Indication (Signal stärke des Empfangen Signals) [dBm]

mFUND-Projekt: ADIS, FKZ: 19F2173A

Luft- und Raumfahrt
Bereitgestellt durch

ASINCO GmbH

Art des Datenzugangs

Dateidownload

Aktualität der Datensatzbeschreibung

Mon Mar 06 11:04:53 GMT 2023

Raumbezug

Messdaten-Luftgebundene Mobilfunknetzmessung_Soers

Mobilfunknetzmessungen mit einem UAS über der Soers in Aachen in unterschiedlichen Flughöhen im Rahmen des mFUND Projektes QualiFly

mFUND-Projekt: 45UAS1014

Luft- und Raumfahrt
Bereitgestellt durch

umlaut SE

Art des Datenzugangs

Dateidownload

Aktualität der Datensatzbeschreibung

Mon Mar 06 11:04:53 GMT 2023

Zeitbezug der Daten

Wed Sep 04 22:00:00 GMT 2019 — Sun Sep 29 22:00:00 GMT 2019

Raumbezug

Vom Luftfahrt-Bundesamt abgenommene theoretische Prüfungen für fliegendes Personal

Vom Luftfahrt-Bundesamt abgenommene theoretische Prüfungen für fliegendes Personal.

Luft- und Raumfahrt
Bereitgestellt durch

Luftfahrt-Bundesamt (LBA)

Art des Datenzugangs

Dateidownload

Aktualität der Datensatzbeschreibung

Mon Mar 06 11:04:53 GMT 2023

Zeitbezug der Daten

Fri Dec 31 23:00:00 GMT 1999 — Wed Dec 30 23:00:00 GMT 2020

Aktualisierungsfrequenz

Jährlich

Raumbezug

World Settlement Footprint (WSF) 3D - Building Height - Global, 90m

The World Settlement Footprint (WSF) 3D provides detailed quantification of the average height, total volume, total area and the fraction of buildings at 90 m resolution at a global scale.

It is generated using a modified version of the World Settlement Footprint human settlements mask derived from Sentinel-1 and Sentinel-2 satellite imagery in combination with digital elevation data and radar imagery collected by the TanDEM-X mission.
The framework includes three basic workflows: i) the estimation of the mean building height based on an analysis of height differences along potential building edges, ii) the determination of building fraction and total building area within each 90 m cell, and iii) the combination of the height information and building area in order to determine the average height and total built-up volume at 90 m gridding.
In addition, global height information on skyscrapers and high-rise buildings provided by the Emporis database is integrated into the processing framework, to improve the WSF 3D Building Height and subsequently the Building Volume Layer.

A comprehensive validation campaign has been performed to assess the accuracy of the dataset quantitatively by using VHR 3D building models from 19 globally distributed regions (~86,000 km2) as reference data.

The WSF 3D standard layers are provided in the format of Lempel-Ziv-Welch (LZW)-compressed GeoTiff files, with each file - or image tile - covering an area of 1 x 1 ° geographical lat/lon at a geometric resolution of 2.8 arcsec (~ 90 m at the equator). Following the system established by the TDX-DEM mission, the latitude resolution is decreased in multiple steps when moving towards the poles to compensate for the reduced circumference of the Earth.

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Thu Mar 02 12:47:31 GMT 2023

Zeitbezug der Daten

Sat Dec 31 23:00:00 GMT 2011 — Tue Dec 31 22:59:00 GMT 2019

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

World Settlement Footprint (WSF) 3D - Building Volume - Global, 90m

The World Settlement Footprint (WSF) 3D provides detailed quantification of the average height, total volume, total area and the fraction of buildings at 90 m resolution at a global scale.

It is generated using a modified version of the World Settlement Footprint human settlements mask derived from Sentinel-1 and Sentinel-2 satellite imagery in combination with digital elevation data and radar imagery collected by the TanDEM-X mission.
The framework includes three basic workflows: i) the estimation of the mean building height based on an analysis of height differences along potential building edges, ii) the determination of building fraction and total building area within each 90 m cell, and iii) the combination of the height information and building area in order to determine the average height and total built-up volume at 90 m gridding.
In addition, global height information on skyscrapers and high-rise buildings provided by the Emporis database is integrated into the processing framework, to improve the WSF 3D Building Height and subsequently the Building Volume Layer.

A comprehensive validation campaign has been performed to assess the accuracy of the dataset quantitatively by using VHR 3D building models from 19 globally distributed regions (~86,000 km2) as reference data.

The WSF 3D standard layers are provided in the format of Lempel-Ziv-Welch (LZW)-compressed GeoTiff files, with each file - or image tile - covering an area of 1 x 1 ° geographical lat/lon at a geometric resolution of 2.8 arcsec (~ 90 m at the equator). Following the system established by the TDX-DEM mission, the latitude resolution is decreased in multiple steps when moving towards the poles to compensate for the reduced circumference of the Earth.

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Thu Mar 02 12:45:54 GMT 2023

Zeitbezug der Daten

Sat Dec 31 23:00:00 GMT 2011 — Tue Dec 31 22:59:00 GMT 2019

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

World Settlement Footprint (WSF) Evolution - Landsat-5/-7 - Global

The World Settlement Footprint (WSF) 2019 is a 10m resolution binary mask outlining the extent of human settlements globally derived by means of 2019 multitemporal Sentinel-1 (S1) and Sentinel-2 (S2) imagery. Based on the hypothesis that settlements generally show a more stable behavior with respect to most land-cover classes, temporal statistics are calculated for both S1- and S2-based indices. In particular, a comprehensive analysis has been performed by exploiting a number of reference building outlines to identify the most suitable set of temporal features (ultimately including 6 from S1 and 25 from S2). Training points for the settlement and non-settlement class are then generated by thresholding specific features, which varies depending on the 30 climate types of the well-established Köppen Geiger scheme. Next, binary classification based on Random Forest is applied and, finally, a dedicated post-processing is performed where ancillary datasets are employed to further reduce omission and commission errors. Here, the whole classification process has been entirely carried out within the Google Earth Engine platform. To assess the high accuracy and reliability of the WSF2019, two independent crowd-sourcing-based validation exercises have been carried out with the support of Google and Mapswipe, respectively, where overall 1M reference labels have been collected based photointerpretation of very high-resolution optical imagery.
Starting backwards from the year 2015 - for which the WSF2015 is used as a reference - settlement and non-settlement training samples for the given target year t are iteratively extracted by applying morphological filtering to the settlement mask derived for the year t+1, as well as excluding potentially mislabeled samples by adaptively thresholding the temporal mean NDBI, MNDWI and NDVI. Finally, binary Random Forest classification in performed.
To quantitatively assess the high accuracy and reliability of the dataset, an extensive campaign based on crowdsourcing photointerpretation of very high-resolution airborne and satellite historical imagery has been performed with the support of Google. In particular, for the years 1990, 1995, 2000, 2005, 2010 and 2015, ~200K reference cells of 30x30m size distributed over 100 sites around the world have been labelled, hence summing up to overall ~1.2M validation samples.
It is worth noting that past Landsat-5/7 availability considerably varies across the world and over time. Independently from the implemented approach, this might then result in a lower quality of the final product where few/no scenes have been collected. Accordingly, to provide the users with a suitable and intuitive measure that accounts for the goodness of the Landsat imagery, we conceived the Input Data Consistency (IDC) score, which ranges from 6 to 1 with: 6) very good; 5) good; 4) fair; 3) moderate; 2) low; 1) very low. The IDC score is available on a yearly basis between 1985 and 2015 and supports a proper interpretation of the WSF evolution product.
The WSF evolution and IDC score datasets are organized in 5138 GeoTIFF files (EPSG4326 projection) each one referring to a portion of 2x2 degree size (~222x222km) on the ground. WSF evolution values range between 1985 and 2015 corresponding to the estimated year of settlement detection, whereas 0 is no data.
A comprehensive publication with all technical details and accuracy figures is currently being finalized. For the time being, please refer to Marconcini et al,. 2021.

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Thu Mar 02 12:45:02 GMT 2023

Zeitbezug der Daten

Mon Dec 31 23:00:00 GMT 1984 — Thu Dec 31 22:59:00 GMT 2015

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

World Settlement Footprint (WSF) 3D - Building Area - Global, 90m

The World Settlement Footprint (WSF) 3D provides detailed quantification of the average height, total volume, total area and the fraction of buildings at 90 m resolution at a global scale.

It is generated using a modified version of the World Settlement Footprint human settlements mask derived from Sentinel-1 and Sentinel-2 satellite imagery in combination with digital elevation data and radar imagery collected by the TanDEM-X mission.
The framework includes three basic workflows: i) the estimation of the mean building height based on an analysis of height differences along potential building edges, ii) the determination of building fraction and total building area within each 90 m cell, and iii) the combination of the height information and building area in order to determine the average height and total built-up volume at 90 m gridding.
In addition, global height information on skyscrapers and high-rise buildings provided by the Emporis database is integrated into the processing framework, to improve the WSF 3D Building Height and subsequently the Building Volume Layer.

A comprehensive validation campaign has been performed to assess the accuracy of the dataset quantitatively by using VHR 3D building models from 19 globally distributed regions (~86,000 km2) as reference data.

The WSF 3D standard layers are provided in the format of Lempel-Ziv-Welch (LZW)-compressed GeoTiff files, with each file - or image tile - covering an area of 1 x 1 ° geographical lat/lon at a geometric resolution of 2.8 arcsec (~ 90 m at the equator). Following the system established by the TDX-DEM mission, the latitude resolution is decreased in multiple steps when moving towards the poles to compensate for the reduced circumference of the Earth.

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Thu Mar 02 12:44:05 GMT 2023

Zeitbezug der Daten

Sat Dec 31 23:00:00 GMT 2011 — Tue Dec 31 22:59:00 GMT 2019

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

World Settlement Footprint (WSF) 3D - Building Fraction - Global, 90m

The World Settlement Footprint (WSF) 3D provides detailed quantification of the average height, total volume, total area and the fraction of buildings at 90 m resolution at a global scale.

It is generated using a modified version of the World Settlement Footprint human settlements mask derived from Sentinel-1 and Sentinel-2 satellite imagery in combination with digital elevation data and radar imagery collected by the TanDEM-X mission.
The framework includes three basic workflows: i) the estimation of the mean building height based on an analysis of height differences along potential building edges, ii) the determination of building fraction and total building area within each 90 m cell, and iii) the combination of the height information and building area in order to determine the average height and total built-up volume at 90 m gridding.
In addition, global height information on skyscrapers and high-rise buildings provided by the Emporis database is integrated into the processing framework, to improve the WSF 3D Building Height and subsequently the Building Volume Layer.

A comprehensive validation campaign has been performed to assess the accuracy of the dataset quantitatively by using VHR 3D building models from 19 globally distributed regions (~86,000 km2) as reference data.

The WSF 3D standard layers are provided in the format of Lempel-Ziv-Welch (LZW)-compressed GeoTiff files, with each file - or image tile - covering an area of 1 x 1 ° geographical lat/lon at a geometric resolution of 2.8 arcsec (~ 90 m at the equator). Following the system established by the TDX-DEM mission, the latitude resolution is decreased in multiple steps when moving towards the poles to compensate for the reduced circumference of the Earth.

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

Thu Mar 02 12:43:31 GMT 2023

Zeitbezug der Daten

Sat Dec 31 23:00:00 GMT 2011 — Tue Dec 31 22:59:00 GMT 2019

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

121 - 130 von 203 Datensätzen

Ergebnisse als CSV oder RDF/XML