Science Service System

Summary of Proposal OCE3201

TitleTerraSAR-X SAR data to monitor hazards related to extreme weather conditions and oil pollution
Investigator Migliaccio, Maurizio - Università di Napoli Parthenope, Engineering
Team Member
Mr. Migliaccio, Maurizio - Università di Napoli Parthenope, Engineering
SummaryOBJECTIVES:The proposed project aims at observing natural and anthropogenic oceanic processes that can have strong environmental and economic impact, including tropical cyclones, hurricanes, coastline dynamic, oil spills. This task will be accomplished using single-pol and polarimetric TerraSAR-X(TSX) data to develop improved products.Main objective is to jointly exploit the wide area coverage of single-pol TSX products and the unique amount of scattering information provided by polarimetric TSX products to develop the following products: wind field mapping;rain rate estimation;effective and accurate coastline mapping,coastal waters monitoring,i.e.,observation of ocean pollution due to oil spills and storm/dry-weather runoff from coastal urban and industrial areas. In addition, valuable information provided by polSAR at X-band can be used to improve accuracy and capabilities of physical approaches to perform sea oil slick observation and coastal. METHOD: In this project 4 applications are addressed: Wind fields retrieval: Tropical cyclones account for a significant fraction of damage,injury and loss of life but an absolute model able to track them and to estimate their absolute intensity doesn’t exist. In this contest, SAR measurements combined with external information can be a solution into the wind field estimation. Geophysical Model Functions allow to link the Radar CrossSection with wind speeds and directions. Rain-rate estimation: We are interested in X-SAR data because they may provide a unique opportunity to measure rainfall over land with fine spatial resolution. In fact, X-SAR images collected on a cyclone, show clearly a very strong attenuation in correspondence of the eye wall of the cyclone. Through this data it is possible to estimate the rain rate and the extension of the eye wall. Coastal mapping:It can obtain better results from polSAR imagery if compared to single-polSAR-based methods, based on edge-detection or segmentation procedures. In fact they can often overcome the lack of sea/land contrast, which results from strong backscatter from wind-roughened wave-modulated sea surface.Here a two-step method is proposed to extract the continuous coastline using full-resolution polSAR data. The first step deals with effective and robust land/sea discrimination achieved exploiting polarimetric information; the joint use of polSAR and single-pol data will reduce false edges that can occur at sea due to surfactants, low-wind areas, etc. The extraction of continuous coastline is performed using image processing techniques. Single- and multi-pol TSX SingleLook Complex (SLC)SAR data are needed to test the proposed methods in a large variety of coastal morphology (rocky, sandy, muddy and vegetated) and where ground truth GPS ancillary information could be available. Sea oil slick observation: It can be effectively performed using SAR-based approaches exploiting the property of surfactants to dampen capillary and small gravity ocean waves, so reducing surface roughness and backscattering. The resulting dark patches in SAR imagery can be attributed not to oil slicks but to the so-called oil look-alikes, including low-wind areas, biogenic surfactants,etc. Polarimetric models will be developed to interpret, underlow-to-moderate wind conditions, the behavior of sea oil slicks in terms of their departure from slick-free ocean Bragg scattering. The higher are the damping properties of the surfactant the larger will be the departure from Bragg scattering. DATA REQUIREMENTS: The following Single Look Complex (SLC) TSX SAR data are required: ScanSAR single-pol, Stripmap dual-pol, Spotlight/High-resolutionSpotlight single-/dual-pol.DELIVERABLES: Due to the scientific nature of this proposal, all relevant works based on the exploitation of TSX SAR data that could be published in peer-reviewed journals and refereed international conference proceedings will include DLR as acknowledgments.

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