ENVISAT/ ASAR interferometry is a useful tool for the retrieval of geoand bio-physical parameters. In this paper the aim is show the quality of interferometric ENVISAT/ ASAR products. This objective will be approached in two ways. First, the timing accuracy of various ENVISAT/ ASAR products is evaluated. The geometric calibration and validation includes the determination of slant-range and azim...

The huge amount of daily generated data in smart cities has called for more effective storage, processing, and analysis technologies. A significant part this are streaming (i.e., time series data). Time similarity or dissimilarity measuring represents an essential critical task several mining machine learning algorithms. Consequently, a distance measure that can extract the similarities differe...

Nowadays, spaceborne Synthetic Aperture Radar (SAR) has become a powerful tool for providing significant wave height (SWH). Traditionally, validation of SAR derived SWH has been carried out against buoy measurements or model outputs, which only yield an inter-comparison, but not an “absolute” validation. In this study, the triple collocation error model has been introduced in the validation of ...

This paper presents the first comparison between repeat-pass coherence from ASAR and JERS-1 SAR. To reduce the influence of temporal decorrelation, repeat-pass pairs acquired during the winter season have been selected. ASAR 35day coherence and JERS-1 44-day coherence from six different test areas in Siberia and northern Europe have been evaluated. The results indicate that the decorrelation is...

The technique of Persistent Scatterers Interferometry allows the accurate measurement of ground displacements and overcomes the drawbacks of classical differential interferometry. Recently, the phase measurement continuity between ERS and ASAR has been demonstrated. In this contribution, we propose an approach for the use of ASAR IMS HH images together with ERS data and the ASAR ERSlike mode. I...

Capabilities and methods for snow mapping in mountainous areas using the Advanced Synthetic Aperture Radar (ASAR) on board of ENVISAT were investigated. For algorithm development the backscattering signatures of snow covered and snow free surfaces in Alpine valleys and on mountain slopes were studied with ASAR data of different look angles and polarizations in comparison with field measurements...

Nowadays, spaceborne Synthetic Aperture Radar (SAR) has become a powerful tool for providing significant wave height. Traditionally, validation of SAR derived ocean wave height has been carried out against buoy measurements or model outputs, which only yield a inter-comparison, but not an ‘absolute’ validation. In this study, the triple collocation error model has been introduced in the validat...

The Met Office routinely runs a global spectral wave model providing analyses and forecasts of sea state on a grid spacing of approximately 60 km. The modelled two-dimensional wave energy spectra are compared with the Advanced Synthetic Aperture Radar (ASAR) Envisat satellite observations on a daily basis. Comparisons are also made with frequency ocean wave energy spectra observed by a moored b...

Soil moisture is a key variable for the water and energy exchanges at the land surface. The determination of soil moisture dynamics from space is one of the most prominent, but also most challenging applications for recent active microwave sensor systems. Since the launch of ENVISAT ASAR, more than 4 years of data is available for the retrieval of soil moisture information. The wide area covera...