Delay-Doppler Maps study over ocean, land and ice from space

This work analyzes the properties of the Delay-Doppler Maps (DDM) derived from the limited experimental data freely available from the UK-DMC. The quality of the received signal over ocean, land and ice is evaluated. In this study the minimum number of incoherent integrations after 1 ms basic coherent integration that are needed to obtain a quality DDM over each surface type is determined using three different techniques: studying the volume of the DDM against the incoherent integration time, observing the signal-to-noise ratio of the signal, and finally analyzing two pixels of the DDM, the maximum and another one noisier, and performing histograms of these points as a function of the incoherent integration time.

[1]  P. Axelrad,et al.  Surface remote sensing applications of GNSS bistatic radar: Soil moisture and aircraft altimetry , 2004 .

[2]  Manuel Martín-Neira,et al.  Coherent GPS reflections from the sea surface , 2006, IEEE Geoscience and Remote Sensing Letters.

[3]  A. Camps,et al.  PAU in SeoSAT: A proposed hybrid L-band microwave radiometer/GPS reflectometer to improve Sea Surface Salinity estimates from space , 2008, 2008 Microwave Radiometry and Remote Sensing of the Environment.

[4]  M. Martín-Neira.  A pasive reflectometry and interferometry system (PARIS) application to ocean altimetry , 1993 .

[5]  Adriano Camps,et al.  Correction of the Sea State Impact in the L-Band Brightness Temperature by Means of Delay-Doppler Maps of Global Navigation Satellite Signals Reflected Over the Sea Surface , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[6]  G. Ruffini,et al.  Altimetry precision of 1 cm over a pond using the wide-lane carrier phase of GPS reflected signals , 2002 .

[7]  A. Rose,et al.  Vision: human and electronic , 1973 .

[8]  Martin Unwin,et al.  Detection and Processing of bistatically reflected GPS signals from low Earth orbit for the purpose of ocean remote sensing , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[9]  M. Caparrini,et al.  Sea state monitoring using coastal GNSS‐R , 2004 .

[10]  S. Gleason,et al.  Remote sensing of ocean, ice and land surfaces using bistatically scattered GNSS signals from low Earth orbit , 2006 .

[11]  P. Axelrad,et al.  Sea ice remote sensing using surface reflected GPS signals , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[12]  Adriano Camps,et al.  The determination of surface salinity with the European SMOS space mission , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[13]  William J. Emery,et al.  GPS signal scattering from land for moisture content determination , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).