nonCciKeyword

remote sensing

7 record(s)

 

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From 1 - 7 / 7
  • This dataset consists of (1) broadband albedo calculated using a narrowband-to-broadband approximation and (2) surface type classification into snow, clean ice, light algae, heavy algae, cryoconite and water, as determined by a supervised classification algorithm, as applied to Sentinel-2 overpasses of S6, K-transect, south-west Greenland on 20 and 21 July 2017. Funding was provided by the NERC standard grant NE/M021025/1.

  • This dataset consists of the unprocessed radiance measurements downloaded directly from the unmanned aerial system imaging platform used to image the ice sheet surface near UPE_U in the north-west of the Greenland Ice Sheet, 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.

  • 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.

  • This dataset consists of orthomosaics created from flights of an unmanned aerial system imaging platform at UPE_U in north-west Greenland on 24 July 2018. The Level-2 orthomosaics consist of (1) ground reflectance at 5 spectral bands, and (2) a digital elevation model. Level-3 orthomosaics consist of (1) broadband albedo calculated using a narrowband-to-broadband approximation and (2) surface type classification into snow, clean ice, light algae, heavy algae, cryoconite and water, as determined by a supervised classification algorithm which was trained on measurements collected at S6, K-transect, south-west Greenland. Funding was provided by the NERC standard grant NE/M021025/1.

  • This dataset consists of orthomosaics created from flights of an unmanned aerial system imaging platform at S6 on the south-west Greenland K-transect during July 2017. Level-2 orthomosaics consist of (1) ground reflectance at 5 spectral bands, and (2) digital elevation models (only for 2017-07-20 and 2017-07-21). Level-3 orthomosaics consist of (1) broadband albedo calculated using a narrowband-to-broadband approximation and (2) surface type classification into snow, clean ice, light algae, heavy algae, cryoconite and water, as determined by a supervised classification algorithm. Training data ingested by the classification algorithm are also provided. Funding was provided by the NERC standard grant NE/M021025/1.

  • This dataset consists of the time series of mass change of the Greenland Ice Sheet and its contribution to global sea level between 1980 and 2018 derived from satellite measurements. The dataset presented here is a reconciled estimate of mass balance estimates from three independent satellite-based techniques - gravimetry, altimetry and input-output method - and its associated uncertainty. This dataset is part of the Ice Sheet Mass Balance Inter-comparison Exercise (IMBIE). The total mass change as well as the partition between surface and dynamics mass balance are provided in this dataset. This work is an outcome of the Ice Sheet Mass Balance Inter-Comparison Exercise (IMBIE) supported by the ESA Climate Change Initiative and the NASA Cryosphere Program. Andrew Shepherd was additionally supported by a Royal Society Wolfson Research Merit Award and the UK Natural Environment Research Council Centre for Polar Observation and Modelling (cpom30001).

  • The data are from a study investigating nitric oxide (NO) variability in the polar mesosphere and lower thermosphere during geomagnetic storms, and the role of energetic electron precipitation in NO production. The datasets include 1) processed atmospheric datasets derived from selected NO observations by the AIM-SOFIE satellite instrument, 2) estimated electron and proton fluxes derived from POES/MEPED/SEM-2 measurements, 3) zonal and meridional wind speeds calculated using the Horizontal Wind Model (HWM14), and 4) geomagnetic indices, solar wind speed, and solar proton event (SPE) data. Funding was provided by the NERC grants NE/J022187/1 and NE/R016038/1, and the New Zealand Marsden Fund.