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141 Datensätze

Luft- und Raumfahrt

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AuDeRi Datensätze

Problemstellung

Georisiken wie Erdfälle können ein Risiko für die Sicherheit der Bevölkerung darstellen und Schäden an öffentlichem und privatem Eigentum verursachen. Herkömmliche Methoden zur Entdeckung von Erdfällen sind in relevanten Gebieten teils schwer durchführbar. Gefährdete Bereiche sind unter Umständen schwer zugänglich sowie zu weitläufig. Bisher existiert keine effiziente, automatisierbare Methode zur Früherkennung von Erdfällen. Unbemannte Luftfahrtsysteme (UAS) können hier neue Möglichkeiten bieten.

Projektziel

Verschiedene mit UAS einsetzbare Methoden werden hinsichtlich ihrer Tauglichkeit zur Früherkennung von Erdfällen evaluiert. Für das jeweilige Potential von Aufnahmen wird in zwei Testgebieten eine aussagekräftige Datenbasis geschaffen. In der Forschung erprobte Methoden werden mit dem bereits gängigen Einsatz von UAS kombiniert und so in die Praxis übertragen. Aus den gewonnenen Daten werden für das Landesamt für Geologie und Bergbau Rheinland-Pfalz Gefahrenhinweiskarten der Testgebiete erstellt, um Sicherungsmaßnahmen zu ermöglichen.

Durchführung

Es werden großflächige UAS-Befliegungen mit thermalen und kurzwelligen Infrarot-Sensoren, RGB- und Hyperspektral-Kameras in den zwei Risikogebieten durchgeführt. Zur Kampagne gehören Befliegungen zu verschiedenen Jahreszeiten. Dabei soll ermittelt werden, ob verborgene Karst- und Bergbauhohlräume durch ihre thermische Signatur erfasst werden können.

mFUND-Projekt: AuDeRi

Luft- und Raumfahrt
Bereitgestellt durch

Karlsruher Institut für Technologie (KIT)

Art des Datenzugangs

Dateidownload

Aktualität der Datensatzbeschreibung

12.03.2021

Zeitbezug der Daten

01.10.2019 — 01.04.2020

Raumbezug

fCover - Sentinel-2 - Netherlands, 2016

The Sentinel-2 fractional vegetation cover (fCover) product for the Netherlands was produced as part of the NextGEOSS project at the German Aerospace Center (DLR). The goal is to derive abundance maps from atmospherically corrected Sentinel-2 multispectral images for: photosynthetically active vegetation (PV); and for combined non-photosynthetically active vegetation (NPV) and bare soil (BS).

The fCover product for the Netherlands has been generated by processing 10 cloud-free Sentinel-2 tiles which covered the country on 8 September 2016. The map has a spatial resolution of 60m x 60m. The Sentinel-2 scene classification layer was used to ensure that the spectral unmixing was only performed on areas of vegetation or soil.

The abundance maps were made by performing MESMA unmixing on each pixel from an endmember library of PV and combined NPV + BS spectra. The purest pixels in a scene, called endmembers, were extracted using the Spatial-Spectral Endmember Extraction (SSEE) approach. The PV and NPV+BS endmembers were classified with a random forest approach and selected to form the spectral library. The spectral library was used in the µMESMA unmixing to get the PV and NPV+BS abundances.

Luft- und Raumfahrt
Straßen
Bereitgestellt durch

German Aerospace Center (DLR)

Art des Datenzugangs

WWW / WMS

Aktualität der Datensatzbeschreibung

19.02.2021

Zeitbezug der Daten

08.09.2016

Aktualisierungsfrequenz

Niemals

Raumbezug

Multispectral Georeferenced Aerial Images of Northern Germany

General Information


Aerial images recorded on board of a research aircraft during flight trials in winter and summer of the year 2020. The images show the views of front-and down-facing cameras during en-route flights at altitudes from 2000 to 5000 ft AGL. Four cameras with different resolutions, frequencies and spectral measurement ranges were used.
The measurements include:
   • RGB images
   • IR images
   • Time stamps
   • Positions and attitudes of the cameras in WGS84

Flight data from following campaigns in February and June are included:

Date Cams Down Cams Ahead Route / Comment
2020-02-04 RGB IR Test flight. Down facing RGB without GNSS data.
2020-02-05 RGB IR RGB IR Uelzen - Schwerin - Salzwedel
2020-02-07 RGB IR RGB IR Hannover - Damme - Hameln
2020-02-21 RGB IR RGB WOB - Stendal - Klietz/Scharlibbe
2020-02-24 RGB IR Göttingen - Kassel - Höxter
2020-02-25 RGB IR Magdeburg - Leipzig - Naumburg
2020-03-02 RGB IR RGB IR Hildesheim - Paderborn


Date Cams Down Cams Ahead Route / Comment
2020-06-02 RGB IR RGB IR Photogrammetry flight over Braunschweig
2020-06-03 RGB IR RGB IR Rostock - Stralsund - Greifswald
2020-06-05 RGB IR RGB IR Greifswald - Peenemünde - Swinemünde
2020-06-08 RGB IR Dresden - Bautzen - Magdeburg
2020-06-09 RGB IR RGB IR Sangerhausen - Erfurt - Goslar
2020-02-04 RGB IR Test flight. Down facing RGB without GNSS data.

Password for data download: IFF-{Date of flight} - e.g. IFF-2020-02-05

Project: C2Land Phase C1 (FKZ 50 NA 1918) funded by the German Federal Ministry for Economic Affairs and Energy, administered by the Agency of Aeronautics of the DLR in Bonn.

Data Description


Flight trials were conducted with four cameras.
Downfacing: Phase One 100 MP RGB camera and Flir A65 IR camera
Ahead: PhotonFocus RGB camera and Infratec VarioCam 620 IR camera.

Pictures of cameras facing ahead are not available for all flights and flight segments.

For all pictures the current GPS/UTC time and position are available. For downfacing IR and both cameras facing ahead the euler angles of the aircraft are also available.

For each day (a single flight per day was performed) there is INS.kml to get an overview of the flown route.

Information about the data format


Phase One / Down facing RGB camera

The raw data of the camera was captured with 100MP resolution. The published data contains 1MP and 10MP downsampled data. Full resolution is available on request.
Pictures were taken in 3 second intervals.
The file name of the pictures contains their respective UTC time stamp.
The EXIF-tag of each picture contains the respective GPS coordinates as well as UTC time stamp.

PhotonFocus / RGB camera facing ahead

Pictures were taken at 10Hz with 1280x1024 pixel resolution.

Flir A65 / Down facing IR camera

Pictures were taken at 7.5Hz with 640x480 pixel resolution and upscaled to 1280x1024 pixel.
Camera native proprietary temparature mapping applied.

Infratec / IR camera facing ahead

Pictures were taken at 10Hz with 640x480 pixel resolution.
The provided jpeg images were created using min/max temparature mapping (i.e. black = coldest temperature in the image, white = hottest temperature in the image) and upscaled to 1280x1024 pixel.

In addition the raw data is available in a simple binary format containing float values for the temperature of each pixel.
The camera has a 640x480 pixel sensor capturing temperatures in the range from -40°C to +120°C with a temperature resolution of 0.03K at +30°C and a measuring accuracy of +/-1K.
The raw data files contain little endian 4-byte signed float values for the temperature in Kelvin (K) of each pixel sorted row-wise starting with the top-left pixel.

PhotonFocus, Flir, Infratec: State Vector

The pictures (and Infratec raw data files) follow the naming scheme frame_NNNNNN.jpg / frame_NNNNNN.irraw - with NNNNNN representing the frame ID.
Each record folder contains a saveData.csv file containing state vector information for each frame ID as well as GPS dayseconds as time information.

Luft- und Raumfahrt
Bereitgestellt durch

Technische Universität Braunschweig - Institut für Flugführung

Art des Datenzugangs

Dateidownload

Aktualität der Datensatzbeschreibung

20.07.2020

Zeitbezug der Daten

04.02.2020 — 09.06.2020

Aktualisierungsfrequenz

Niemals

Raumbezug

Land Cover DE - Sentinel-2 - Germany, 2015

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

Sentinel-2 MSI - Vegetation Indices (AGRO-DE) - Germany, Monthly Composites

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

Sentinel-2 MSI - Vegetation Indices (AGRO-DE) - Germany, Yearly Composites

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

SCMaP - Landsat - Germany, 1984-2014

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

Flugbewegungen auf dem Flughafen Kiel

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

Quadrotor Sensor Data

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

Flugbewegungen im Raum Aachen mittels ADS-B

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

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