Advancements for Snowmelt Monitoring by Means of Sentinel-1 SAR

The Sentinel satellite constellation series, developed and operated by the European Space Agency, represents the dedicated space component of the European Copernicus program, committed to long-term operational services in environment, climate and security. We developed, tested and evaluated an algorithm for generating maps of snowmelt area from C-band synthetic aperture radar (SAR) data of the Sentinel-1 mission. For snowmelt classification, a change detection method is applied, using multitemporal dual-polarized SAR data acquired in Interferometric Wide swath (IW) mode, the basic operation mode over land surfaces. Of particular benefit for wet snow retrievals are the high instrument stability, the high spatial resolution across the 250 km wide swath, and the short revisit time. In order to study the impact of polarization, we generated maps of melting snow using data of the VV-polarized channel, the VH-polarized channel and a combined VV- and VH-based channel using a weighting function that accounts for effects of the local incidence angle. Comparisons are performed with snow maps derived from Landsat images over study areas in the Alps and in Iceland. The pixel-by-pixel comparisons show good agreement between the snow products of the two sensors, with the best performance for retrievals based on the combined (VV and VH) channel and a minor decline for the VH-based product. The VV-based snowmelt extent product shows a drop-off in quality over areas with steep terrain because of the decreasing backscatter contrast of snow-covered versus snow-free surfaces on fore-slopes. The investigations demonstrate the excellent capability of the Sentinel-1 mission for operational monitoring of snowmelt areas.

[1]  David Small,et al.  The Sentinel-1A instrument and operational product performance status , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[2]  Michele Manunta,et al.  Geometrical SAR image registration , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Christopher J. Crawford,et al.  MODIS Terra Collection 6 fractional snow cover validation in mountainous terrain during spring snowmelt using Landsat TM and ETM+ , 2015 .

[4]  Yves-Louis Desnos,et al.  Sentinel-1 mission status , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[5]  Laurent Ferro-Famil,et al.  Snowpack Characterization in Mountainous Regions Using C-Band SAR Data and a Meteorological Model , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[6]  David M. Le Vine,et al.  A microwave polarimetric scattering model for forest canopies based on vector radiative transfer theory , 1995 .

[7]  Kamal Sarabandi,et al.  Microwave Radar and Radiometric Remote Sensing , 2013 .

[8]  N. Baghdadi.  Capability of multitemporal ERS-1 SAR data for wet-snow mapping , 1997 .

[9]  Helmut Rott,et al.  Retrieval of wet snow by means of multitemporal SAR data , 2000, IEEE Trans. Geosci. Remote. Sens..

[10]  C. Donlon,et al.  The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission , 2012 .

[11]  Helmut Rott,et al.  Assimilation of meteorological and remote sensing data for snowmelt runoff forecasting , 2008 .

[12]  R. Gupta,et al.  Digital Elevation Model , 2018 .

[13]  Christian Mätzler,et al.  Applications of the interaction of microwaves with the natural snow cover , 1987 .

[14]  A. Wiesmann,et al.  Active microwave signatures of snow covers at 5.3 and 35 GHz , 1997 .

[15]  Shaun Quegan,et al.  Filtering of multichannel SAR images , 2001, IEEE Trans. Geosci. Remote. Sens..

[16]  K. Moffett,et al.  Remote Sens , 2015 .

[17]  Jean-Pierre Fortin,et al.  Potential and limitations of RADARSAT SAR data for wet snow monitoring , 2000, IEEE Trans. Geosci. Remote. Sens..

[18]  C. Justice,et al.  High-Resolution Global Maps of 21st-Century Forest Cover Change , 2013, Science.

[19]  Martti Hallikainen,et al.  Snow-Covered Area Estimation Using Satellite Radar Wide-Swath Images , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Michael E. Schaepman,et al.  Sentinels for science: potential of Sentinel-1, -2, and -3 missions for scientific observations of ocean, cryosphere, and land , 2012 .

[21]  Betlem Rosich,et al.  Sentinel-1 mission operations concept , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[22]  Edward J. Knight,et al.  Landsat-8 Operational Land Imager Design, Characterization and Performance , 2014, Remote. Sens..

[23]  Josef Aschbacher,et al.  The European Earth monitoring (GMES) programme: Status and perspectives , 2012 .

[24]  M. Bauer,et al.  Multitemporal snow cover mapping in mountainous terrain for Landsat climate data record development , 2013 .

[25]  Matthias Drusch,et al.  Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services , 2012 .

[26]  Christian Mätzler,et al.  Microwave signatures of snow crusts Modelling and measurements , 1987 .

[27]  Kari Luojus,et al.  Monitoring of snow cover properties during the spring melting period in forested areas , 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

[28]  Jiancheng Shi,et al.  Inferring snow wetness using C-band data from SIR-C's polarimetric synthetic aperture radar , 1995, IEEE Trans. Geosci. Remote. Sens..

[29]  Helmut Rott,et al.  Snowmelt Runoff Modelling by Means of RADARSAT and ERS SAR , 2000 .

[30]  Kenton Lee,et al.  Landsat 8 Operational Land Imager On-Orbit Geometric Calibration and Performance , 2014, Remote. Sens..

[31]  Helmut Rott,et al.  Seasonal and short-term variability of multifrequency, polarimetric radar backscatter of Alpine terrain from SIR-C/X-SAR and AIRSAR data , 2001, IEEE Trans. Geosci. Remote. Sens..

[32]  Leif Toudal Pedersen,et al.  Sentinel-1 results: Sea ice operational monitoring , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[33]  Malcolm Davidson,et al.  GMES Sentinel-1 mission , 2012 .

[34]  Helmut Rott,et al.  The Sentinel-1 Mission: New Opportunities for Ice Sheet Observations , 2015, Remote. Sens..