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Dataset

 

INTACASA-RS EUFAR UR-TIR Flight, 2011-07-05: hyperspectral remote sensing measurements

Update Frequency: Not Planned
Latest Data Update: 2019-12-07
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2015-07-31
DOI Publication Date: 2018-01-17
Download Stats: last 12 months
Dataset Size: 379 Files | 73GB

Abstract

Hyperspectral remote sensing measurements using the INTA Airborne Hyperspectral Scanner and INTA Compact Airborne Spectrographic Imager 1500i instruments onboard the CASA 212 RS - INTA aircraft for the UR-TIR- Urban mapping with airborne thermal infra red imagery project (flight reference: intacasa-rs_20110705_urtir).

Data were collected over the Munich and Bochum, Germany area.

Citable as:  INTA Instituto Nacional de Tecnica Aeroespacial, Spain; European Facility for Airborne Research; Juergens, C. (2018): INTACASA-RS EUFAR UR-TIR Flight, 2011-07-05: hyperspectral remote sensing measurements. Centre for Environmental Data Analysis, 17 January 2018. doi:10.5285/8edd26f597de4f168c6d92b95e19aecb. https://dx.doi.org/10.5285/8edd26f597de4f168c6d92b95e19aecb

Abbreviation: Not defined
Keywords: UR-TIR, EUFAR, aircraft, hyperspectral, remote sensing

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s):
http://creativecommons.org/licenses/by/4.0/
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).

Data Quality:
The data are quality controlled by the Climatic Research Unit (CRU) at the University of East Anglia. Details are given in the paper Harries et al. 2014 and the release notes, links to both can be found in the documentation.
File Format:
Data are netCDF and ENVI Binary formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG or JPG formatted.

Related Documents

 EUFAR Website

Citations: 6

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

INTA Instituto Nacional De Tecnica Aeroespacial, S., European Facility For Airborne Research (EUFAR) & Kopackova, V. (2015) INTACASA-RS EUFAR DEMINTIR Flight, 2011-07-19: hyperspectral remote sensing measurements. https://doi.org/10.5285/06B68579CA314234AD5036715F25D3AA https://doi.org/10.5285/06b68579ca314234ad5036715f25d3aa
INTA Instituto Nacional De Tecnica Aeroespacial, S., European Facility For Airborne Research (EUFAR) & Samson, R. (2015) INTACASA-RS EUFAR BIOHYPE Flight, 2010-09-01: hyperspectral remote sensing measurements. https://doi.org/10.5285/97C3456FAB734B999FDF64849BC5442B https://doi.org/10.5285/97c3456fab734b999fdf64849bc5442b
INTA Instituto Nacional De Tecnica Aeroespacial, S., European Facility For Airborne Research (EUFAR) & Somers, B. (2017) INTACASA-RS EUFAR URBSENSE Flight, 2015-07-10 Brussels: hyperspectral remote sensing measurements. https://doi.org/10.5285/CED4C4E9288D4C2D8C3AE019BAE6CC4B https://doi.org/10.5285/ced4c4e9288d4c2d8c3ae019bae6cc4b
INTA Instituto Nacional De Tecnica Aeroespacial, S., European Facility For Airborne Research (EUFAR) & Somers, B. (2017) INTACASA-RS EUFAR URBSENSE Flight, 2015-07-10 Ghent: hyperspectral remote sensing measurements. https://doi.org/10.5285/1A751302459B4E56A76C63BCAB6344C8 https://doi.org/10.5285/1a751302459b4e56a76c63bcab6344c8
INTA Instituto Nacional De Tecnica Aeroespacial, S., European Facility For Airborne Research (EUFAR) & Somers, B. (2017) INTACASA-RS EUFAR URBSENSE Flight, 2015-07-10 Leuven: hyperspectral remote sensing measurements. https://doi.org/10.5285/769C10FEA82E4F1FB81F594DAE95C117 https://doi.org/10.5285/769c10fea82e4f1fb81f594dae95c117
Zepp, H., Gessner, M., Gruenhagen, L. & Bührs, M. (2023) Modeling the cooling effect of urban green spaces: The neglected control variables of ‘soil moisture’ and ‘biotope types’. Urban Forestry & Urban Greening 90, 128137. https://doi.org/10.1016/j.ufug.2023.128137 https://doi.org/10.1016/j.ufug.2023.128137

Process overview

This dataset was generated by instruments deployed on platforms as listed below.
Output Description

None

No variables found.

Coverage
Temporal Range
Start time:
2011-07-05T10:10:00
End time:
2011-07-05T10:19:00
Geographic Extent

 
51.3365°
 
7.2296°
 
7.2455°
 
51.5656°