Special Issue "Combining Different Data Sources for Environmental and Operational Satellite Monitoring of Sea Ice Conditions"
Deadline for manuscript submissions: closed (30 September 2019) | Viewed by 19260
2. Alfred Wegener Institute Helmholtz Center for Polar and Marine Research, Bremerhaven, Germany
Interests: remote sensing of the Polar Regions; sensor technologies; field and airborne measurement techniques; image processing methods; parameter retrieval algorithms
Interests: sea ice; Arctic environments; ship-based observations
Special Issues, Collections and Topics in MDPI journals
Interests: Imaging and non-imaging microwave remote sensing of sea ice focusing on the Baltic and Arctic; statistical analysis of single and combined data sets; the development of operational marine services
Satellite remote sensing is an important tool for monitoring the state of and changes in the sea ice cover in the Arctic, Antarctic, and other regions such as, for example, the Baltic and the Bohai Sea. Information on daily and weekly changes—provided by operational ice services—is essential for marine traffic and operations in ice-infested waters, and improves the understanding and forecasting of short-term interactions between atmosphere, ice, and ocean. When focusing on regional and local sea ice conditions, the synthetic aperture radar (SAR) is one of the most useful sensors. However, the interpretation and analysis of SAR images may be prone to ambiguities. Since we are dependent on operational or scientific applications, it is therefore beneficial to combine SAR images with data obtained from other types of satellite sensors (e.g., optical and thermal spectrometers, microwave radiometers, altimeters, scatterometers) and/or to link them with results from airborne and ground measurements when available. Examples for applications are ice type mapping, ice thickness retrieval, detection of ice drift and deformation, studies of lead or polynya dynamics, monitoring of sea ice thermodynamic state (e.g. melting conditions), or detection of ice areas most suitable for navigation. The retrieval of sea ice conditions and parameters does not only benefit from the combination of different data sources but also from linking such retrievals with results from modeling sea ice thermodynamics and dynamics, or interpreting remote sensing data based on simulations of the interaction between electromagnetic radiation and sea ice.
This planned issue of Remote Sensing shall specifically address the potential of combining SAR with different complementary data sources (satellite, airborne, field, modeling) in science studies and for operational applications, considering the most advanced technologies, for enhancing the sea ice monitoring capabilities and reducing ambiguities in data analysis. Also, studies of suitable methods for analyzing merged data sets are welcome.
- multi-polarization and multi-frequency SAR for ice classification;
- different combinations of SAR, laser and radar altimeter, and radiometer and spectrometer for ice thickness retrieval (both thin (<0.5 m) and thick ice);
- mixing of image sequences obtained at different SAR frequencies, polarizations, and/or imaging modes, or from SAR and complementary sensor types, for improving temporal resolution of ice drift/deformation retrievals;
- using remotely sensed data from different sensor types (including SAR) as input or for validation of models simulating, e.g., evolution of polynyas or sea ice deformation;
- sea ice thermodynamic stages (e.g., melt ponding and its evolution) determined from combinations of SAR and complementary sensor data and thermodynamic modeling;
- comparison between observed radar signatures and calculations using scattering models with realistic ranges of input parameters;
- examples of applications of interferometric SAR and complementary data for sea ice studies;
Other topics in line with the general idea of the special issue are, of course, also very welcome.
In the hope of receiving many exciting contributions.Prof. Dr. Wolfgang Dierking
Adjunct Prof. Dr. Marko Mäkynen
Mr. Markku Similä
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