The Collection of Hyperspectral Measurements on Snow and Ice Covers in Polar Regions (SISpec 2.0)

The data value of hyperspectral measurements on ice and snow cover is strongly impacted by the availability of data services, where spectral libraries are integrated to detailed descriptions of the observed surface cover. For snow and ice cover, we present an updated version of the Snow/Ice Spectral Archive (SISpec 2.0), which has been integrated into a web portal characterized by different functionalities. The adopted metadata scheme features basic geographic data, information about the acquisition setup, and parameters describing the different surface types. While the implementation of the IACS Classification of Seasonal Snow on the Ground is the core component for snow cover, ice cover is approached using different parameters associated with its surface roughness and location. The web portal is not only a visualization tool, but also supports interoperability functionalities, providing data in the NetCDF file format. The availability of these functionalities sets the foundation for sharing a novel platform with the community and is an interesting tool for calibrating and validating data and models.

[1]  R. Salvatori,et al.  Increasing the interoperability of snow/ice hyperspectral observations , 2022, Comput. Geosci..

[2]  A. Kokhanovsky.  Light penetration in snow layers , 2021, Journal of Quantitative Spectroscopy and Radiative Transfer.

[3]  Anas El-Alem,et al.  Estimating Snowpack Density from Near-Infrared Spectral Reflectance Using a Hybrid Model , 2021, Remote. Sens..

[4]  Edward H. Bair,et al.  Evaluation of VIIRS and MODIS Snow Cover Fraction in High-Mountain Asia Using Landsat 8 OLI , 2021, Frontiers in Remote Sensing.

[5]  A. Kokhanovsky,et al.  Retrieval of Dust Properties From Spectral Snow Reflectance Measurements , 2021, Frontiers in Environmental Science.

[6]  C. Lanconelli,et al.  On the Seasonality of the Snow Optical Behaviour at Ny Ålesund (Svalbard Islands, Norway) , 2021, Geosciences.

[7]  J. Revuelto,et al.  Snow albedo sensitivity to macroscopic surface roughness using a new ray-tracing model , 2020, The Cryosphere.

[8]  A. Roy,et al.  Presenting Snow Grain Size and Shape Distributions in Northern Canada Using a New Photographic Device Allowing 2D and 3D Representation of Snow Grains , 2020, Frontiers in Earth Science.

[9]  Simon J. Hook,et al.  The ECOSTRESS spectral library version 1.0 , 2019, Remote Sensing of Environment.

[10]  Olivier Hagolle,et al.  Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data , 2019, Earth System Science Data.

[11]  Stephen G. Warren,et al.  Optical properties of ice and snow , 2019, Philosophical Transactions of the Royal Society A.

[12]  C. Ballabio,et al.  LUCAS Soil, the largest expandable soil dataset for Europe: a review , 2018 .

[13]  B. Jamieson,et al.  Spectral measurements of surface hoar crystals , 2017, Journal of Glaciology.

[14]  P. Nabat,et al.  In situ continuous visible and near-infrared spectroscopy of an alpine snowpack , 2016 .

[15]  D. Selkowitz,et al.  Automated mapping of persistent ice and snow cover across the western U.S. with Landsat , 2016 .

[16]  Laurent Arnaud,et al.  Development and calibration of an automatic spectral albedometer to estimate near-surface snow SSA time series , 2016 .

[17]  Viacheslav I. Adamchuk,et al.  A global spectral library to characterize the world’s soil , 2016 .

[18]  V. Vitale,et al.  Continuous monitoring of spectral albedo of snowed surfaces in Ny-Ålesund , 2016, Rendiconti Lincei.

[19]  M. Valt,et al.  Snowpack characteristics of Brøggerhalvøya, Svalbard Islands , 2016, Rendiconti Lincei.

[20]  Marcos Jiménez,et al.  Field Spectroscopy Metadata System Based on ISO and OGC Standards , 2014, ISPRS Int. J. Geo Inf..

[21]  Laurent Arnaud,et al.  Snow spectral albedo at Summit, Greenland: measurements and numerical simulations based on physical and chemical properties of the snowpack , 2013 .

[22]  Igor Esau,et al.  Wind Climate in Kongsfjorden, Svalbard, and Attribution of Leading Wind Driving Mechanisms through Turbulence-Resolving Simulations , 2012 .

[23]  R. Fromm,et al.  Quantification of the hand hardness test , 2010, Annals of Glaciology.

[24]  Jens Nieke,et al.  The spectral database SPECCHIO for improved long-term usability and data sharing , 2009, Comput. Geosci..

[25]  Roberto Salzano,et al.  Correlation between the specific surface area and the short wave infrared (SWIR) reflectance of snow , 2006 .

[26]  T. Painter,et al.  Reflectance quantities in optical remote sensing - definitions and case studies , 2006 .

[27]  Thomas H. Painter,et al.  The effect of anisotropic reflectance on imaging spectroscopy of snow properties , 2004 .

[28]  M. Valt,et al.  Field reflectance of snow/ice covers at Terra Nova Bay, Antarctica , 2002 .

[29]  J. B. Ørbæk,et al.  Radiometric investigation of different snow covers in Svalbard , 2001 .

[30]  L. Hinzman,et al.  Observations: Changes in Snow, Ice and Frozen Ground , 2007 .