Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images

نویسندگان

  • Xi Zhang
  • Wolfgang Dierking
  • Jie Zhang
  • Junmin Meng
  • Haitao Lang
چکیده

In this paper we introduce a parameter for the retrieval of the thickness of undeformed first-year sea ice that is specifically adapted to compact polarimetric (CP) synthetic aperture radar (SAR) images. The parameter is denoted as the “CP ratio”. In model simulations we investigated the sensitivity of the CP ratio to the dielectric constant, ice thickness, ice surface roughness, and radar incidence angle. From the results of the simulations we deduced optimal sea ice conditions and radar incidence angles for the ice thickness retrieval. C-band SAR data acquired over the Labrador Sea in circular transmit and linear receive (CTLR) mode were generated from RADARSAT-2 quad-polarization images. In comparison with results from helicopter-borne measurements, we tested different empirical equations for the retrieval of ice thickness. An exponential fit between the CP ratio and ice thickness provides the most reliable results. Based on a validation using other compact polarimetric SAR images from the same region, we found a root mean square (rms) error of 8 cm and a maximum correlation coefficient of 0.94 for the retrieval procedure when applying it to level ice between 0.1 and 0.8 m thick.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Investigation of Arctic Sea Ice Thickness using Space-borne Polarimetric SAR data

Space-borne synthetic aperture radar (SAR) data have been widely used to produce ice concentration (type), ice motion, ice charting (operational route planning), and iceberg detection. Recent availability of polarimetric SAR sensors (e.g., TerraSAR-X, RADARSAT-2, and ALOS PALSAR) enables us to explore the full potential of polarimetric data to derive sea ice information. Among the many sea ice ...

متن کامل

Extraction of Late Summer Sea Ice Properties from Polarimetric Sar Features in C- and X- Band

In this study we examine the potential use of six polarimetric features for interpretation of late summer sea ice types. Five high-resolution C and X-band scenes were recorded in the Fram Strait covering fast first-year and old sea ice. In addition sea ice thickness, surface roughness and melt pond fraction were collected during a helicopter flight at the study area. From the SAR scenes, six po...

متن کامل

Development of sea-ice thickness algorithm from PALSAR data, combined with in-situ observations and other satellite data

In order to estimate the sea-ice thickness distribution in the seasonal ice zone (SIZ), we are developing the algorithm with PALSAR data. As a preliminary step, airborne Polarimetric and Interferometric Synthetic Aperture Radar (Pi-SAR) observation, conducted in the southern Sea of Okhotsk in February 2005, was examined to validate the retrieval of ice thickness distribution from L-band SAR. In...

متن کامل

Retrieval of sea-ice thickness distribution in the Sea of Okhotsk from ALOS/PALSAR backscatter data

Although satellite data are useful for obtaining ice-thickness distribution for perennial sea ice or in stable thin-sea-ice areas, they are still largely an unresolved issue for the seasonal ice zone (SIZ). We address this problem using L-band synthetic aperture radar (SAR). In the SIZ, ice-thickness growth is closely related to deformation, so surface roughness is expected to correlate with ic...

متن کامل

Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data

Sea ice monitoring and classification is one of the main applications of Synthetic Aperture Radar (SAR) remote sensing. C-band SAR imagery is regarded as an optimal choice for sea ice applications; however, other SAR frequencies has not been extensively assessed. In this study, we evaluate the potential of fully polarimetric L-band SAR imagery for monitoring and classifying sea ice during dry w...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016