The monitoring of the mass balance of the Werenskioldbreen (Wedel Jarlsberg Land, Spitsbergen, Svalbard) in the years 1999-2002 and 2009-2018. It is calculated on the base of 4 to 9 ablation stakes (depend on year). The mass balance is determined by conducting field surveys on floating calendar dates (floating-date system). Data have also been submitted to the World Glacier Monitoring Sevice (WGMS, https://wgms.ch)

Results of supervised classification of six Landsat 8 images acquired on: 25 May, 3 June, 22 June, 15 July, 4 August and 20 August 2014, covering glaciers in Hornsund fiord. Method of classification: Maximum Likelihood. The results show variability of snow cover areas in melting period of 2014 for glaciers located in Hornsund fiord and larger than 9 km2 (Körberbreen, Samarinbreen, Chomjakovbreen, Mendelejevbreen, Svalisbreen, Hornbreen, Storbreen, Kvalfangarbreen, Mühlbacherbreen, Paierlbreen and Hansbreen). For more information, please check: https://doi.org/10.3390/w9100804 Overview: Results of Maximum Likelihood classification of Landsat 8 images for analysed glaciers. Red - snow cover, yellow - glacier ice, black - debirs, grey - cloud cover.

Glacier velocities are derived from the displacements of stakes installed close to the front of Hansbreen. Measurements of stakes position were conducted in 2008-2009, 2010-2011, 2013-2014 and 2015, with precise dGPS receiver (Leica 1230, accuracy ±5cm) and with time intervals from 3 hours to a few days.

Dataset contains evolution of the snow temperature within seasonal snowpack on Hansbreen. Fieldwork has been performed with several thermistors located at different levels (from snow surface to the bottom, on glacier ice) from April to July 2010 (during period of early and intensive surface melting). Study has been repeated in 2015, at the same location. Acknowledgements: Research Council of Norway, Arctic Field Grant 2013: Spatial distribution of snow cover and drainage systems on the glaciers on Wedel Jarlsberg Land (RiS ID: 6158); the National Science Centre PRELUDIUM 4: Role of meltwater from snow cover for supplying drainage systems of the Spitsbergen glaciers (2012/07/N/ST10/03784) References: Laska M., Luks B., Budzik T., 2016. Influence of snowpack internal structure on snow metamorphism and melting intensity on Hansbreen, Svalbard. Polish Polar Research, 37(2): 193–218. doi:10.1515/popore-2016-0012

1. One UAV movie taken of Paierlbreen in spring 2017 with Phantom 3 Advanced usage. The movie is focused on the front of the glacier and the area around.

1. Dataset of UAV vertical aerial photos of Calypsobyen obtained from height of: 100m (58 photos), 60m (45 photos) and 30m (59 photos). Used UAV: Phantom 3 Advanced, date of acqusition: 16 Aug 2016. 2. Dataset of UAV vertical aerial photos of Paierlbreen east morain/dead ice obtained from height of 50m (152 photos). Area covered: ~250x~130m (with gaps).Used UAV: Phantom 3 Advanced, date of acqusition: 22 Aug 2016. 3. Dataset of UAV vertical aerial photos of Storbreen, close to Komsa (52 photos). Area covered: ~350x~230m. Used UAV: Phantom 3 Advanced, date of acqusition: 21 Aug 2016. 4. Dataset of UAV vertical aerial photos of Werenskoildbreen's south moraine (300 photos). Area covered: ~200x~350m and ~250x~250m. Used UAV: Phantom 3 Advanced, date of acqusition: 7 Sep 2016.

The positions of the glacier termini in Hornsund are derived with very high frequency in the period 1991–2018. Over 230 multispectral and Synthetic Aperture Radar (SAR) data were used: LANDSAT 5, LANDSAT 7, LANDSAT 8, Terra ASTER, Alos AVNIR, SPOT 5, ERS-1, ERS-2, ENVISAT, Alos PALSAR, TerraSAR-X, TanDEM-X, and Sentinel-1. SAR data were used to detect any variability in the glacier front during the polar night. The satellite data were digitized manually to obtain the ice cliff position. Multispectral images were orthorectified and geocoded in PCI Geomatica and ArcGIS software. SAR data were usually provided at the SLC level, so that both radiometric and geometric corrections could be applied using the same methods, and with the same digital elevation model (2008 DEM SPOT developed by the IPY-SPIRIT Project; Korona et al., 2009). The SAR data were processed in BEAM (http://www.brockmann-consult.de/cms/web/beam). Sentinel data downloaded from the Sentinel’s Data Hub were already processed. Data not published.

The base contain: 1. List (*xls) of terrophotogrammetric photographs taken by Poles na Spitsbergen from 1934 till 2016: 2. Skaning above photographs with resolution of 2400 dpi, file format *.tif and *.jpg (400 dpi). All photographs were taken by means of instrument type Phototheodolite Zeiss 19/1318 on glass plates. Authors of photographs: Antoni Rogala-Zawadzki, Cezary Lipert, Stanisław Rudowski, Leszek Kolondra, Jacek Jania, Jerzy Wach, Krzysztof Migała, Janusz Karkoszka, Małgorzata Błaszczyk and other unknown members of Polish Expeditions organized by Institute of Geophysic Polish Academy of Science in Station HORNSUND. Fot better identification of all photographs was prepared presentations (in *.pptx and *.pdf formats), where photographs there are arranged in classic form used for terrophotogrammetric stereoscopic photographs: A, AL, AR, B, BL, BR (the meaning of a letter: A - right photogrammetric station and photograph taken in normal case [90°]; B - left photogrammetric station and photograph taken in normal case [90°]; AL - photograph taken from right station in left direction; AR - photograph taken from right station in right direction; BL - photograph taken from left station in left direction; BR - photograph taken from left station in right direction). Other photographs (e.g. panoramic) has additional informations. Boths kind of presentation are prepared in chronological and tematical (for objects) order.

Glaciers facies extents of Langjökull delivered from unsupervised classifications of fully-polarimetric SAR data (ALOS-2 PALSAR, RADARSAT-2) for 2018 year. Date of SAR images acquisitions: 12, 16 Mar 2018 (Fine Quad Pol RADARSAT-2), 17 Mar 2018 (High Sensitive Quad Pol ALOS-2 PALSAR). Method of classification: H-a Wishart Classification. Results validated with terrestrial measurements (shallow ice cores drilling, Ground Penetrating Radar measurements). Research done with cooperation with University of Iceland and supported by the European Space Agency, Third Party Miassions. Overwiew of results of RADATSAT-2 (16 Mar 2018; Fine Quad Pol) classification of south part of Langjökull. Black line - contour of Langjökull; other colours - different scattering properties of SAR microwaves. For more details please contact Barbara Barzycka (bbarzycka@us.edu.pl).

Meteorological data from Flat Glacier (Flatbreen) - air temperature.