Multi-spectral unmanned aerial system imagery, S6, south-west Greenland, July 2017: Level 1 (unmosaiced radiance measurements)

This dataset consists of the unprocessed radiance measurements downloaded directly from the unmanned aerial system imaging platform used to image the ice sheet surface at S6 on the south-west Greenland K-transect during July 2017, along with captures of reflectance panels and sensor calibration para...

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Main Authors: Tedstone, Andrew, Cook, Joseph, Tranter, Martyn
Format: Dataset
Language:English
Published: UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation 2019
Subjects:
Online Access:https://dx.doi.org/10.5285/0579d4a8-e315-41d7-af43-25fb50c7d3da
https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01160
id ftdatacite:10.5285/0579d4a8-e315-41d7-af43-25fb50c7d3da
record_format openpolar
spelling ftdatacite:10.5285/0579d4a8-e315-41d7-af43-25fb50c7d3da 2023-05-15T16:26:46+02:00 Multi-spectral unmanned aerial system imagery, S6, south-west Greenland, July 2017: Level 1 (unmosaiced radiance measurements) Tedstone, Andrew Cook, Joseph Tranter, Martyn 2019 image/tiff application/octet-stream https://dx.doi.org/10.5285/0579d4a8-e315-41d7-af43-25fb50c7d3da https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01160 en eng UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation https://blackandbloom.org https://dx.doi.org/10.5285/a87b7897-354c-4435-a1bc-e6053e7569e0 https://blackandbloom.org Open Government Licence V3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3 "EARTH SCIENCE","CRYOSPHERE","GLACIERS/ICE SHEETS","ICE SHEETS" "EARTH SCIENCE","CRYOSPHERE","SNOW/ICE","ALBEDO" "EARTH SCIENCE","LAND SURFACE","SURFACE RADIATIVE PROPERTIES","ALBEDO" "EARTH SCIENCE","LAND SURFACE","SURFACE RADIATIVE PROPERTIES","REFLECTANCE" "EARTH SCIENCE","SPECTRAL/ENGINEERING","VISIBLE WAVELENGTHS","VISIBLE RADIANCE" Dataset dataset UAS,albedo,ice,remote sensing 2019 ftdatacite https://doi.org/10.5285/0579d4a8-e315-41d7-af43-25fb50c7d3da https://doi.org/10.5285/a87b7897-354c-4435-a1bc-e6053e7569e0 2021-11-05T12:55:41Z This dataset consists of the unprocessed radiance measurements downloaded directly from the unmanned aerial system imaging platform used to image the ice sheet surface at S6 on the south-west Greenland K-transect during July 2017, along with captures of reflectance panels and sensor calibration parameters which enable these imagery to be transformed to reflectance measurements. Funding was provided by the NERC standard grant NE/M021025/1. : Flights occurred on: 2017-07-15 2017-07-17 2017-07-20 2017-07-21 2017-07-22 2017-07-23 2017-07-24 Precise flight times are encoded in TIFF headers. Spatial coverage: (UTM Zone 22N), (degrees): Upper Left (571523.742, 7441194.238), (49d 21'14.77"W, 67d 4'46.37"N) Lower Left (571523.742, 7440834.722), (49d 21'15.56"W, 67d 4'34.77"N) Upper Right (571877.909, 7441194.238), (49d 20'45.44"W, 67d 4'46.07"N) Lower Right (571877.909, 7440834.722), (49d 20'46.23"W, 67d 4'34.46"N) Centre (571700.826, 7441014.480), (49d 21'0.50"W, 67d 4'40.42"N) The full methodology used to acquire the measurements in this dataset are presented in: Cook et al. (2019) Algae accelerate melting of the Greenland Ice Sheet, The Cryosphere Discussions Tedstone et al. (2019) Algal growth and weathering crust structure drive variability in Greenland Ice Sheet ice albedo, The Cryosphere Discussions : Instrumentation: MicaSense RedEdge multispectral camera integrated onto Steadidrone Mavrik-M quadcopter. : No quality control or data cleaning applied. Dataset Greenland Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic "EARTH SCIENCE","CRYOSPHERE","GLACIERS/ICE SHEETS","ICE SHEETS"
"EARTH SCIENCE","CRYOSPHERE","SNOW/ICE","ALBEDO"
"EARTH SCIENCE","LAND SURFACE","SURFACE RADIATIVE PROPERTIES","ALBEDO"
"EARTH SCIENCE","LAND SURFACE","SURFACE RADIATIVE PROPERTIES","REFLECTANCE"
"EARTH SCIENCE","SPECTRAL/ENGINEERING","VISIBLE WAVELENGTHS","VISIBLE RADIANCE"
spellingShingle "EARTH SCIENCE","CRYOSPHERE","GLACIERS/ICE SHEETS","ICE SHEETS"
"EARTH SCIENCE","CRYOSPHERE","SNOW/ICE","ALBEDO"
"EARTH SCIENCE","LAND SURFACE","SURFACE RADIATIVE PROPERTIES","ALBEDO"
"EARTH SCIENCE","LAND SURFACE","SURFACE RADIATIVE PROPERTIES","REFLECTANCE"
"EARTH SCIENCE","SPECTRAL/ENGINEERING","VISIBLE WAVELENGTHS","VISIBLE RADIANCE"
Tedstone, Andrew
Cook, Joseph
Tranter, Martyn
Multi-spectral unmanned aerial system imagery, S6, south-west Greenland, July 2017: Level 1 (unmosaiced radiance measurements)
topic_facet "EARTH SCIENCE","CRYOSPHERE","GLACIERS/ICE SHEETS","ICE SHEETS"
"EARTH SCIENCE","CRYOSPHERE","SNOW/ICE","ALBEDO"
"EARTH SCIENCE","LAND SURFACE","SURFACE RADIATIVE PROPERTIES","ALBEDO"
"EARTH SCIENCE","LAND SURFACE","SURFACE RADIATIVE PROPERTIES","REFLECTANCE"
"EARTH SCIENCE","SPECTRAL/ENGINEERING","VISIBLE WAVELENGTHS","VISIBLE RADIANCE"
description This dataset consists of the unprocessed radiance measurements downloaded directly from the unmanned aerial system imaging platform used to image the ice sheet surface at S6 on the south-west Greenland K-transect during July 2017, along with captures of reflectance panels and sensor calibration parameters which enable these imagery to be transformed to reflectance measurements. Funding was provided by the NERC standard grant NE/M021025/1. : Flights occurred on: 2017-07-15 2017-07-17 2017-07-20 2017-07-21 2017-07-22 2017-07-23 2017-07-24 Precise flight times are encoded in TIFF headers. Spatial coverage: (UTM Zone 22N), (degrees): Upper Left (571523.742, 7441194.238), (49d 21'14.77"W, 67d 4'46.37"N) Lower Left (571523.742, 7440834.722), (49d 21'15.56"W, 67d 4'34.77"N) Upper Right (571877.909, 7441194.238), (49d 20'45.44"W, 67d 4'46.07"N) Lower Right (571877.909, 7440834.722), (49d 20'46.23"W, 67d 4'34.46"N) Centre (571700.826, 7441014.480), (49d 21'0.50"W, 67d 4'40.42"N) The full methodology used to acquire the measurements in this dataset are presented in: Cook et al. (2019) Algae accelerate melting of the Greenland Ice Sheet, The Cryosphere Discussions Tedstone et al. (2019) Algal growth and weathering crust structure drive variability in Greenland Ice Sheet ice albedo, The Cryosphere Discussions : Instrumentation: MicaSense RedEdge multispectral camera integrated onto Steadidrone Mavrik-M quadcopter. : No quality control or data cleaning applied.
format Dataset
author Tedstone, Andrew
Cook, Joseph
Tranter, Martyn
author_facet Tedstone, Andrew
Cook, Joseph
Tranter, Martyn
author_sort Tedstone, Andrew
title Multi-spectral unmanned aerial system imagery, S6, south-west Greenland, July 2017: Level 1 (unmosaiced radiance measurements)
title_short Multi-spectral unmanned aerial system imagery, S6, south-west Greenland, July 2017: Level 1 (unmosaiced radiance measurements)
title_full Multi-spectral unmanned aerial system imagery, S6, south-west Greenland, July 2017: Level 1 (unmosaiced radiance measurements)
title_fullStr Multi-spectral unmanned aerial system imagery, S6, south-west Greenland, July 2017: Level 1 (unmosaiced radiance measurements)
title_full_unstemmed Multi-spectral unmanned aerial system imagery, S6, south-west Greenland, July 2017: Level 1 (unmosaiced radiance measurements)
title_sort multi-spectral unmanned aerial system imagery, s6, south-west greenland, july 2017: level 1 (unmosaiced radiance measurements)
publisher UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
publishDate 2019
url https://dx.doi.org/10.5285/0579d4a8-e315-41d7-af43-25fb50c7d3da
https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01160
geographic Greenland
geographic_facet Greenland
genre Greenland
Ice Sheet
genre_facet Greenland
Ice Sheet
op_relation https://blackandbloom.org
https://dx.doi.org/10.5285/a87b7897-354c-4435-a1bc-e6053e7569e0
https://blackandbloom.org
op_rights Open Government Licence V3.0
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3
op_doi https://doi.org/10.5285/0579d4a8-e315-41d7-af43-25fb50c7d3da
https://doi.org/10.5285/a87b7897-354c-4435-a1bc-e6053e7569e0
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