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ACS_Bayelva_class: 302 high-resolution snow cover maps covering the 2012-2017 snowmelt seasons in the Bayelva catchment
Satellite-based Permafrost Modeling across a Range of Scales, SatPerm
Datacenter: Zenodo
Collection: SESS2020, SIOS, ADC
Iso topic category: climatologyMeteorologyAtmosphere, environment, geoscientificInformation, imageryBaseMapsEarthCover
Activity type: Maps/Charts/Photographs

Show Abstract

The ACS_Bayelva_class dataset contains 302 high-resolution binary snow cover images that were obtained by classifying orthrorectified photographs of a 1.77 km^2 area of interest in the Bayelva catchment. This catchment is close to Ny-Ålesund, the northernmost permanent civilian settlement in the world and a major hub for polar research, in the Norwegian high-Arctic Svalbard archipelago. The imagery has a (roughly) daily temporal resolution and a ground sampling distance (pixel spacing) of 0.5 m. The dataset spans 6 snowmelt seasons, covering the months May-August for the period 2012-2017. The orthophotos were obtained by processing oblique time-lapse photographs taken by a terrestiral automatic camera system (ACS) mounted at 562 m a.s.l. near the summit of Scheteligfjellet (719 m a.s.l.) a few kilometers west of Ny-Ålesund. The orthophotos were manually classified into binary snow cover images (0=no snow, 1=snow) by iteratively selecting a (visually) optimal threshold on the intensity in the blue band for each image. More details are provided in the study of Aalstad et al. (2020) [a copy is available in this repository] where this dataset was created. The ACS was maintained by scientists from the group of Sebastian Westermann at the Section for Physical Geography and Hydrology in the Department of Geosciences at the University of Oslo, Oslo, Norway.
Show Keywords
Keywords:
EARTH SCIENCE > CLIMATE INDICATORS>CRYOSPHERIC INDICATORS>SNOW COVER
EARTH SCIENCE > CRYOSPHERE>SNOW/ICE>SNOW MELT
EARTH SCIENCE > CLIMATE INDICATORS>TERRESTRIAL HYDROSPHERE INDICATORS>SNOW COVER DEGRADATION
EARTH SCIENCE > CRYOSPHERE>SNOW/ICE>SNOW COVER
EARTH SCIENCE > TERRESTRIAL HYDROSPHERE>SNOW/ICE>SNOW COVER
Metadata Information

Metadata identifier: 5465f41e-a9f9-5d12-9231-bff3cbec7ce0
Last metadata update: 2022-04-29T15:30:00Z
Alternate identifier:
Metadata status: Active
Access constraint: Open
Metadata update history
2022-04-29T15:30:00Z : Minor modification : Update keywords vocabulary
2021-12-15T09:08:47Z : Minor modification : Changed version of metadata standard to MMD v3
2020-09-21T00:21:00Z : Original record : Original record from MMD v2

Related resources

Homepage: https://www.mn.uio.no/geo/english/research/projects/satperm/
Dataset landing page: https://doi.org/10.5281/zenodo.4032910
Dataset user guide: https://doi.org/10.5281/zenodo.4032910
External metadata: https://doi.org/10.5281/zenodo.4032910

Dataset Citation

Title: Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography
Author: Kristoffer Aalstad, Sebastian Westermann, Laurent Bertino
Publisher: Remote Sensing of Environment, Elsevier
Publication date: 2020-01-03T13:00:00Z

Investigator

Name: Kristoffer Aalstad
Organisation: University of Oslo
Email: kristoffer.aalstad@geo.uio.no
Address:
Sem Sælands vei 1
371, Oslo

Norway

Technical contact

Name: Kristoffer Aalstad

Metadata Author

Name: Kristoffer Aalstad

Data center

Name: Zenodo
URL: https://zenodo.org/

Data center contact

Platform

Instrument

Temporal extent

Start date: 2012-04-30T14:00:00Z
End date: 2017-07-29T14:00:00Z

Geographic extent EPSG:4326

North: 78.9299
South: 78.9197
East: 11.8755
West: 11.7913

Observation location

Data access

File storage information

ACS_Bayelva_class: 302 high-resolution snow cover maps covering the 2012-2017 snowmelt seasons in the Bayelva catchment

Satellite-based Permafrost Modeling across a Range of Scales, SatPerm