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150 Datensätze

Luft- und Raumfahrt

Alles zurücksetzen

This land cover classfication of Germany was created using Sentinel-2 imagery from the years 2015 to 2017 and LUCAS 2015 in-situ reference data (https://ec.europa.eu/eurostat/web/lucas). It contains seven land cover types: (1) artificial land, (2) open soil, (3) high seasonal vegetation, (4) high perennial vegetation, (5) low seasonal vegetation, (6) low perennial vegetation and (7) water with a spatial resolution of 10m x 10m. For further information, please see the following publication: https://doi.org/10.1016/j.jag.2020.102065

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

18.06.2020

Zeitbezug der Daten

27.06.2015 — 29.09.2017

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

This product comprises monthly composites and temporal statistics of selected vegetation indices (VI) for all of Germany from 2015 to today in 10m resolution, which were calculated using the DLR TimeScan processor. VIs (EVI, HA56, NDRE, NDVI, NDWI, PSRI and REIP) were calculated from Sentinel-2 Level 2A data at 10m spatial resolution produced by means of the DLR-PACO processor. Monthly compositing and temporal statistics are based on all valid observations per vegetation index. Derived variables per index are: minimum, maximum, mean and standard-deviation as well as the number of valid observations. Products are available in tiles according to the ESA Sentinel 2 granule grid (UTM). This is a product of AGRO-DE project (https://agro-de.info/).

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

18.06.2020

Zeitbezug der Daten

01.07.2015 —

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

This product comprises yearly composites and temporal statistics of selected vegetation indices (VI) for all of Germany from 2015 to today in 10m resolution, which were calculated using the DLR TimeScan processor. VIs (EVI, HA56, NDRE, NDVI, NDWI, PSRI and REIP) were calculated from Sentinel-2 Level 2A data at 10m spatial resolution produced by means of the DLR-PACO processor. Yearly compositing and temporal statistics are based on all valid and cloud-free observations per vegetation index. Derived variables per index are: minimum (min), maximum (max), mean, standard-deviation (sd), average absolute difference between observations (masd) as well as the number of cloud-free observations (n-cloudfree) and the total number of observations (n-obs). This is a product of the AGRO-DE project (https://agro-de.info/).

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

18.06.2020

Zeitbezug der Daten

01.01.2016 —

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

The Soil Composite Mapping Processor (SCMaP) is a new approach designed to make use of per-pixel compositing to overcome the issue of limited soil exposure due to vegetation. Three primary product levels are generated that will allow for a long term assessment and distribution of soils that include the distribution of exposed soils, a statistical information related to soil use and intensity and the generation of exposed soil reflectance image composites. The resulting composite maps provide useful value-added information on soils with the exposed soil reflectance composites showing high spatial coverage that correlate well with existing soil maps and the underlying geological structural regions.

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

18.06.2020

Zeitbezug der Daten

13.04.1984 — 09.11.2014

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

Die Anzahl der Flugbewegungen auf dem Flughafen Kiel als Zeitreihe

Luft- und Raumfahrt
Bereitgestellt durch

OpenData Schleswig-Holstein: Landeshauptstadt Kiel

Art des Datenzugangs

CSV

Aktualität der Datensatzbeschreibung

23.01.2020

Zeitbezug der Daten

01.01.1995 — 31.12.2017

Raumbezug

Sensor data recorded with a quadrotor helicopter around the campus of the Karlsruhe Institute of Technology in challenging outdoor and indoor environments is provided. The following sensors are used:
• Inertial measurement unit (ADIS 16448)
• GPS receiver (u-blox LEA-M8T)
• Air pressure sensor (Freescale MP3H6115A)
• Magnetometer (Honeywell HMC5843)
• 2D laser rangefinder (Hokuyo UTM-30LX)

For each trajectory, two ROS bagfiles are provided: The original files and files with sensor data converted to standard ROS messages. When playing the bagfiles, please make sure the ROS /use_sim_time parameter is set. An exemplary ROS launch file is provided.

mFUND-Projekt: VISION

Luft- und Raumfahrt
Bereitgestellt durch

Institut für Systemoptimierung des Karlsruhe Institute of Technology

Art des Datenzugangs

Portal

Aktualität der Datensatzbeschreibung

12.12.2019

Raumbezug

Im Rahmen des mFUND Projektes VISION wurden Flugbewegungen im Raum Aachen mittels eines ADS-B Transponders aufgezeichnet. Diese Daten werden auf der Projekt-Homepage anonymisiert, also ohne die Luftfahrzeugkennzeichen, zur Verfügung gestellt.

Die Mitschriebe enthalten für jeden Zeitstempel (sekündlich) für alle erkannten Transponder folgende Informationen:

Hex: Hexadecimal ICAO 24-bit identifier (anonymised)
Mode: Transponder type (Mode S)
Sqwk: Squawk transponder code (anonymised)
Flight: Aircraft registration (anonymised)
Spd: Speed, km/h
Hdg: Magnetic heading, deg
Lat/Lon: Latitudinal and longitudinal coordinates, deg
h_AGL_raw: QNE – Height above groud level (barometric altitude), m
h_AGL_pres: QNH – Height above ground level (corrected barometric altitude), m
h_AGL_QFF: QFF – Height above ground level (corrected barometric altitude), m
h_AGL_gnss: Height above ground level (based on GNSS), m
RSSI: Received signal strength indication, dBFS
Msgs: Number of received messages
Ti: Age of the last update of the trajectory intent (Ti) information, s
delta: Debug data (h_AGL_gnss – h_AGL_QFF), m

Die verschiedenen maschinenlesbaren Mitschriebe sind nach Aufzeichnugstagen in einem .zip-Archiv zusammengefasst.

mFUND-Projekt: VISION

Luft- und Raumfahrt
Bereitgestellt durch

flyXdrive GmbH

Art des Datenzugangs

Portal

Aktualität der Datensatzbeschreibung

27.11.2019

Zeitbezug der Daten

27.03.2019 — 16.05.2019

Raumbezug

The product shows tree canopy cover loss in Germany between January 2018 and April 2021 at monthly temporal and 10 m spatial resolution. The basic principle behind this map is to compute monthly composites of the disturbance index (DI, Healey et al. 2005), a spectral index sensitive to forest disturbance, from all available Sentinel-2 and Landsat-8 data with less than 80 % cloud cover. These monthly composites are then compared to a median composite of the DI for 2017, which serves as a reference. After applying a threshold to the difference image, the time series of detected losses is checked for consistency. Only losses recorded continuously in all observations of a pixel until the end of the time series are considered. The dataset does not differentiate between the drivers of the losses. It depicts areas of natural disturbances (windthrow, fire, droughts, insect infestation) as well as sanitation and salvage logging, and regular forest harvest. The full description of the method and results can be found in Thonfeld et al. (2022).

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

22.07.2019

Zeitbezug der Daten

01.01.2018 — 30.04.2021

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

The product contains information of tree canopy cover loss in Germany per district (Landkreis) between January 2018 and April 2021 at monthly temporal resolution. The information is aggregated at from the 10 m spatial resolution Sentinel-2 and Landsat-based raster product (Tree Canopy Cover Loss Monthly - Landsat-8/Sentinel-2 - Germany, 2018-2021). The method used to derive this product as well as the mapping results are described in detail in Thonfeld et al. (2022). The map depicts areas of natural disturbances (windthrow, fire, droughts, insect infestation) as well as sanitation and salvage logging, and regular forest harvest without explicitly differentiating these drivers. The vector files contain information about tree canopy cover loss area per forest type (deciduous, coniferous, both) and per year (2018, 2019, 2020, January-April 2021, and January 2018-April 2021) in absolute numbers and in percentages. In addition, the vector files contain the district area and the total forest area per district.

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

22.07.2019

Zeitbezug der Daten

01.01.2018 — 30.04.2021

Aktualisierungsfrequenz

Unregelmäßig

Raumbezug

Unfälle und schwere Störungen in der Zivilluftfahrt in Deutschland seit 1999
in der gewerblichen Luftfahrt (Tabelle A), bis Ende 2010 (A1) und ab 2011 (A2)
und der allgemeinen Luftfahrt (Tabelle B), bis Ende 2010 (B1) und ab 2011 (B2).

Luft- und Raumfahrt
Bereitgestellt durch

Bundesstelle für Flugunfalluntersuchung BFU

Art des Datenzugangs

Dateidownload

Aktualität der Datensatzbeschreibung

28.05.2019

Zeitbezug der Daten

01.01.1999 —

Aktualisierungsfrequenz

Monatlich

Raumbezug