Retrieval of Wind and Total Surface Current Vectors Using Experimental Bidirectional Along-Track Interferometric TanDEM-X Data

نویسندگان

چکیده

Observations of wind and ocean surface velocity vectors by along-track interferometry (ATI) with the synthetic aperture radar (SAR) are not only important for direct applications but also to increase understandings upper layer mixing, air–ocean interactions, mapping submesoscale (1–10 km) structures. An experimental bidirectional (BiDi) ATI acquisition mode TanDEM-X observes two squinted beams separated an angle approximately 13.2° in azimuth on ground. The baseline is very short, interferometric phase (ATI phase) line-of-sight direction can be interpreted as a total Doppler velocity. 2-D field will thus include wind-wave detected motions. In this article, fields acquired from presented. sequential retrieval vector current (TSCV) demonstrated BiDi data. algorithm builds existing geophysical model functions (GMFs) normalized cross section (NRCS) XMOD2 GMF based Elfouhaily wave spectrum coupled Kirchhoff approximation (EOWS&KA) used. retrieved generally consistent European Centre Medium-Range Weather Forecasts (ECMWF) ERA-5. While errors small, TSCV looks promising. Acquisitions were located at sea over tip Novaya Zemlya Russia area near Tromsø, Norway.

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Coherence Evaluation of TanDEM-X Interferometric Data

The TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurement) mission comprises two nearly identical satellites: TerraSAR-X (TSX, launched in 2007), and TanDEM-X (TDX, launched in June 2010). The primary objective of the mission is to generate a worldwide and consistent digital elevation model (DEM) with an unprecedented accuracy. During the first three months after its launch, the TDX sat...

متن کامل

Oceanic Variables extracted from Along-Track Interferometric SAR Data

The Synthetic Aperture Radar (SAR) data are considered to contain the greatest amount of information among various microwave techniques developed for measuring ocean variables from aircraft or satellites. They have the potential of measuring wavelength, wave direction and wave height of the ocean waves. But, it is difficult to retrieve significant ocean wave heights and surface current from con...

متن کامل

COMPARISON OF CURRENT FIELDS FROM TerraSAR-X AND TanDEM-X ALONG-TRACK INTERFEROMETRY AND DOPPLER CENTROID ANALYSIS

ALONG-TRACK INTERFEROMETRY AND DOPPLER CENTROID ANALYSIS Roland Romeiser, Hartmut Runge, Steffen Suchandt, Ralph Kahle, Cristian Rossi, and Paul Bell 1 Rosenstiel School of Marine and Atmospheric Science, University of Miami 4600 Rickenbacker Causeway, Miami, FL 33149-1031, USA Phone: +1 305 421 4645, Fax: +1 305 421 4701 E-Mail: [email protected] 2 Remote Sensing Technology Institute /...

متن کامل

GPS Signal Scattering from Sea Surface: Wind Speed Retrieval Using Experimental Data and Theoretical Model

Global Positioning System (GPS) signals reflected from applications. Recently, the sensitivity of this signal to the ocean surface have potential use for various remote propagation effects was found to be useful for various sensing purposes. Some possibilities are measurements of environmental remote sensing techniques. For example, surface roughness characteristics from which wave ionospheric ...

متن کامل

Two-Level Forest Model Inversion of Interferometric TanDEM-X Data

In this work, a two-level model is inverted and estimates of ground-to-vegetation ratio and level distance are obtained. Interferometric TanDEM-X data acquired over Remningstorp, a hemi-boreal test site situated in southern Sweden are used. Interferograms are flattened through the removal of ground phase, computed from a highresolution digital terrain model. 32 circular, 40-metre radius field p...

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

ژورنال

عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing

سال: 2022

ISSN: ['0196-2892', '1558-0644']

DOI: https://doi.org/10.1109/tgrs.2022.3147490