Ten Years of SeaWinds on QuikSCAT for Snow Applications

The scatterometer SeaWinds on QuikSCAT provided regular measurements at Ku-band from 1999 to 2009. Although it was designed for ocean applications, it has been frequently used for the assessment of seasonal snowmelt patterns aside from other terrestrial applications such as ice cap monitoring, phenology and urban mapping. This paper discusses general data characteristics of SeaWinds and reviews relevant change detection algorithms. Depending on the complexity of the method, parameters such as long-term noise and multiple event analyses were incorporated. Temporal averaging is a commonly accepted preprocessing step with consideration of diurnal, multi-day or seasonal averages.

[1]  Richard B. Lammers,et al.  Record Russian river discharge in 2007 and the limits of analysis , 2009 .

[2]  Sergio M. Vicente-Serrano,et al.  The impact of snow depth and snowmelt on the vegetation variability over central Siberia , 2005 .

[3]  Daqing Yang,et al.  Winter rain on snow and its association with air temperature in northern Eurasia , 2008 .

[4]  Douglas L. Kane,et al.  Streamflow changes over Siberian Yenisei River Basin , 2004 .

[5]  Tingjun Zhang,et al.  Evaluating a high‐resolution climate model: Simulated hydrothermal regimes in frozen ground regions and their change under the global warming scenario , 2007 .

[6]  Annett Bartsch,et al.  Detection of snow surface thawing and refreezing in the Eurasian Arctic with QuikSCAT: implications for reindeer herding. , 2010, Ecological applications : a publication of the Ecological Society of America.

[7]  Perry J. Hardin,et al.  Investigating SeaWinds Terrestrial Backscatter: Equatorial Savannas of South America , 2003 .

[8]  David G. Long,et al.  Image reconstruction and enhanced resolution imaging from irregular samples , 2001, IEEE Trans. Geosci. Remote. Sens..

[9]  Urs Wegmüller,et al.  Microwave remote sensing of alpine snow , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[10]  R. Kwok,et al.  Detection of snowmelt regions on the Greenland ice sheet using diurnal backscatter change , 2001, Journal of Glaciology.

[11]  Christian Mätzler,et al.  Snow mapping with active microwave sensors , 1984 .

[12]  Karl Rupp,et al.  Application of C and Ku-Band scatterometer data for catchment hydrology in northern latitudes , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[13]  Vladimir E. Romanovsky,et al.  Groundwater storage changes in arctic permafrost watersheds from GRACE and in situ measurements , 2009 .

[14]  Vladimir E. Romanovsky,et al.  The role of snow cover in the warming of arctic permafrost , 2003 .

[15]  Son V. Nghiem,et al.  Polarimetric scatterometry: a promising technique for improving ocean surface wind measurements from space , 2000, IEEE Trans. Geosci. Remote. Sens..

[16]  W. Wagner,et al.  Initial soil moisture retrievals from the METOP‐A Advanced Scatterometer (ASCAT) , 2007 .

[17]  Claude R. Duguay,et al.  Variability in ice phenology on Great Bear Lake and Great Slave Lake, Northwest Territories, Canada, from SeaWinds/QuikSCAT: 2000-2006. , 2009 .

[18]  David A. Clausi,et al.  Fusing AMSR-E and QuikSCAT Imagery for Improved Sea Ice Recognition , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Son V. Nghiem,et al.  Depletion of perennial sea ice in the East Arctic Ocean , 2006 .

[20]  John S. Kimball,et al.  Remote sensing of snow thaw at the pan-Arctic scale using the SeaWinds scatterometer , 2005 .

[21]  Fawwaz T. Ulaby,et al.  The active and passive microwave response to snow parameters: 2. Water equivalent of dry snow , 1980 .

[22]  Marco Tedesco,et al.  Snowmelt detection over the Greenland ice sheet from SSM/I brightness temperature daily variations , 2007 .

[23]  Claude R. Duguay,et al.  Remote Sensing of Snow Cover , 2013 .

[24]  Son V. Nghiem,et al.  Global snow cover monitoring with spaceborne Ku-band scatterometer , 2001, IEEE Trans. Geosci. Remote. Sens..

[25]  W. Wagner,et al.  A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data , 1999 .

[26]  Klaus Scipal,et al.  An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[27]  Mark A. Bourassa Remotely Sensed Winds and Wind Stresses for Marine Forecasting and Ocean Modeling , 2010 .

[28]  David G. Long,et al.  Standard BYU QuikSCAT/SeaWinds Land/Ice Image Products , 2000 .

[29]  Wolfgang Wagner,et al.  Temporal and spatial variability of the beginning and end of daily spring freeze/thaw cycles derived from scatterometer data , 2007 .

[30]  Chris Derksen,et al.  Assessment of spring snow cover duration variability over northern Canada from satellite datasets , 2007 .

[31]  Christiane Schmullius,et al.  SIBERIA-II: A Multi-Sensor Approach for Greenhouse Gas Accounting in Northern Eurasia , 2003 .

[32]  Daqing Yang,et al.  Streamflow response to seasonal snow cover mass changes over large Siberian watersheds , 2007 .

[33]  Tuomas Laurila,et al.  The timing of snow melt controls the annual CO2 balance in a subarctic fen , 2004 .

[34]  Volkmar Wismann,et al.  Monitoring of seasonal thawing in Siberia with ERS scatterometer data , 2000, IEEE Trans. Geosci. Remote. Sens..

[35]  Eric Rignot,et al.  Winter and Spring Thaw as Observed with Imaging Radar at BOREAS , 1997 .

[36]  John S. Kimball,et al.  Using the space‐borne NASA scatterometer (NSCAT) to determine the frozen and thawed seasons , 1999 .

[37]  G. Roe,et al.  Rain‐on‐snow events impact soil temperatures and affect ungulate survival , 2003 .

[38]  Chris Derksen,et al.  Identification of systematic bias in the cross-platform (SMMR and SSM/I) EASE-Grid brightness temperature time series , 2003, IEEE Trans. Geosci. Remote. Sens..

[39]  S. Frolking,et al.  Radar remote sensing of the spring thaw transition across a boreal landscape , 2004 .

[40]  U. Wegmüller The effect of freezing and thawing on the microwave signatures of bare soil. , 1990 .

[41]  Chris Derksen,et al.  Detection of pan-Arctic terrestrial snowmelt from QuikSCAT, 2000–2005 , 2008 .

[42]  N. Delbart,et al.  Determination of phenological dates in boreal regions using normalized difference water index , 2005 .

[43]  John S. Kimball,et al.  Application of the NASA Scatterometer (NSCAT) for Determining the Daily Frozen and Nonfrozen Landscape of Alaska , 2001 .

[44]  Wolfgang Wagner,et al.  The development of a processing environment for time-series analysis of SeaWinds scatterometer data , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[45]  Jörg Haarpaintner,et al.  Arctic-wide operational sea ice drift from enhanced-resolution QuikScat/SeaWinds scatterometry and its validation , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[46]  John S. Kimball,et al.  Satellite radar remote sensing of seasonal growing seasons for boreal and subalpine evergreen forests. , 2004 .

[47]  Marco Tedesco,et al.  Observations and statistical analysis of combined active–passive microwave space-borne data and snow depth at large spatial scales , 2007 .

[48]  M. F. Meier,et al.  Remote sensing of snow and ice. , 1980 .

[49]  John S. Kimball,et al.  Interannual variability in North American grassland biomass/productivity detected by SeaWinds scatterometer backscatter , 2005 .

[50]  Wolfgang Wagner,et al.  Remote Sensing of Spring Snowmelt in Siberia , 2010 .