Fractional Snow Cover Extent for Northern Hemisphere from Optical Data

Product name: Fractional Snow Cover Extent

Date of the last availiable processed image: 01 Jan 1970

Access to data and contact informaton:
Dr. Kari Luojus, Finnish Meteorological Institute, email: kari.luojus () fmi.fi
Dr. Sari Metsämäki, Finnish Environment Institute, email: sari.metsamaki () ymparisto.fi

Overview:
The Daily Fractional Snow Cover (DFSC) product provides the fractional snow cover (FSC) in percentage (%) per grid cell for all satellite overpasses of a given day. The product represents the best estimate of today's snow cover. If there are multiple snow observations (only far north within a day), the satellite observations applied are those giving best solar illumination (highest solar elevation). The product is generated for each day based on a 24 hours' time window limited by sunlight. The product is produced and made available for each day in near real time.

High Resolution (5km) Pan-European SWE Product (Augmented Using Optical FSC Data)

Product name: Pan-Europaen Snow Water Equivalent

Date of the last availiable processed image: 01 Jan 1970

Access to data and contact informaton:
Matias Takala, Finnish Meteorological Institute, email: Matias.Takala () fmi.fi

Overview:
The product estimates Snow Water Equivalent (SWE) in millimeters for Pan European grid in 0.05 degrees spatial resolution. Ground without snow, mountains and water bodies are masked out. Snow line is masked using combination of IMS and VIIRS data.

Regional Wet Snow Cover from Sentinel-1 Data

Product name: SCAW - Wet Snow Covered Area

Date of the last availiable processed image: 22 May 2015

Access to data and contact informaton:
Dr. Gabriele Bippus, ENVEO IT GmbH, Austria, email: gabriele.bippus () enveo.at

Overview:
The wet snow cover product provides binary information on melting snow for non-forested areas. The product is generated for the European Alps. Water bodies, forested areas, as well as areas affected by radar shadow or fore-shortening are masked. Bare ground and dry snow are identified as one class. Products are provided including metadata meeting INSPIRE standards.

Extended Baltic Sea Drainage Basin Direct Broadcast FSC Based on NPP VIIRS/Sentinel-3 SLSTR

Product name: FSC-Fractional Snow Cover Extent

Date of the last availiable processed image: 01 Jan 1970

Access to data and contact informaton:
Dr. Kari Luojus, Finnish Meteorological Institute, email: kari.luojus () fmi.fi
Dr. Sari Metsämäki, Finnish Environment Institute, email: sari.metsamaki () ymparisto.fi

Overview:
The Daily Fractional Snow Cover (DFSC) product for extended Baltic region provides the fractional snow cover (FSC) in percentage (%) per grid cell for all satellite overpasses of a given day (for the Pan-European domain). The product represents the best estimate of today's snow cover. If there are multiple snow observations (only far north within a day), the satellite observations applied are those giving best solar illumination (highest solar elevation). The product is generated for each day based on a 24 hours' time window limited by sunlight. The product is produced and made available for each day in near real time.

Ice Velocity

Product name: Ice Velocity

Date of the last availiable processed image: 22 Feb to 05 Mar 2016

Access to data and contact informaton:
Tazio Strozzi, Gamma Remote Sensing, Worbstrasse 225, 3073 Gümligen (BE), SWITZERLAND, email: strozzi () gamma-rs.ch

Overview:
Knowledge on glacier ice velocity provides a better understanding of a wide range of processes related to glacier dynamics, for example glacier mass flux, flow modes and flow instabilities (e.g. surges), sub-glacial processes (e.g. erosion), and the development of glacier lakes and associated hazards. In addition, the comparison of the spatio-temporal variations of glacier velocities both within and between regions will improve understanding of climate change impacts. Satellite SAR missions make it possible to operationally map and monitor glacier flow on a nearly global scale using offset-tracking methods. With Sentinel-1 Level 1 SLC data, downloaded from the Scientific Data Hub, the retrieval of ice surface velocity maps over the Svalbard Archipelago is possible since August 2014 every 12 or 24 days. Horizontal surface velocity data in m/day are provided together with a quality measure, a header file describing the input data and validation, and a quick-look image of the product in GeoTIFF format.

Crop / Vegetation Classification

Product name: Agricultural monitoring

Date of the last availiable processed image: August 2015

Access to data and contact informaton:
Markus Törmä, Finnish Environment Institute, email: Markus.torma () ymparisto.fi

Overview:
The products tailored for the Agency of Rural Affairs Finland (MAVI) for monitoring agricultural areas are simple classifications designed to target specific control requirements for agricultural subsidies. The requirements come both from EC as well as from national authorities. The products are still in development stage; summer 2016 will serve as demonstration phase for assessing the concept. Following test cases are used for demonstration in 2016:
   - Winter time vegetation
   - Summer time vegetation
   - Coarse un-supervised classification based on S1/S2 images

Phenology

Product name: Phenology product of Finnish Environment Institute

Date of the last availiable processed image: 2015

Access to data and contact informaton:
Kristin Böttcher, Finnish Environment Institute, email: Kristin.bottcher () ymparisto.fi

Overview:
The product is derived from satellite data product time-series. The data products used are FSC (the same algorithm as for SYKE&FMI Extended Baltic Sea drainage basin direct broadcast FSC based on NPP VIIRS/Sentinel-3 SLSTR), NDVI and NDWI indices.
Aim: The phenological product will contain four layers:
1) The date of the start of the vegetation active season in evergreen coniferous forest. This date corresponds to the start of photosynthetic activity in conifers.
2) The date of the greening-up of deciduous vegetation. This date corresponds to the time of bud break in deciduous trees.
3) The end of season date in evergreen coniferous forest.
4) The end of season date for deciduous vegetation.
Currently, the product layers 3) and 4) are under development.