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Authors in this work aim to present new analysis methods for Earth Observation, developed by processing Sentinel-1 and Landsat-8 satellite data and combining them in an original way. Comparing SAR and Optical/Multispectral data is a procedure already in use because they are two acquisition systems that provide very different and therefore complementary and useful information. Even if the combination...
An automatic approach to detect bilge dumping in synthetic aperture radar (SAR) images over Southern African oceans is proposed. The approach uses a threshold-based algorithm and a region-based active contour model (ACM) algorithm to achieve an efficient bilge dump detection tool. A threshold method was used to detect areas with a high bilge dump probability while the ACM method is used to get closed...
During last years, several studies related to remote sensing technologies analyzed the processes to extract and classify slicks from SAR imagery. These images are used, among other purposes, for monitoring coastal and marine waters pollution where oil floating on the surface becomes visible because it damps the short gravity-capillary waves that are responsible for the radar backscattering [14].
In this study, we focus on the investigations of oil slicks observed by TerraSAR-X and TanDEM-X operating over the drilling platforms in Forties oil field, the largest one in the North Sea. Previous researches indicate that oil spills observed by consecutive SAR images represent the same leaks, but in this paper, we presented four cases which suggest completely different situations of oil spill variations...
Forest monitoring is a major concern today due to climate changes, conservation of fauna and flora and to the lack of water[1]. Therefore, several environmental monitoring techniques have been developed and used to detect changes in the scenes. The use of SAR is appropriate to detect changes due to its independence of atmospheric and lighting conditions. However, currently, also SAR change detection...
RaySAR, a 3D SAR simulator, has been made accessible to the SAR community in January 2016. It helps to understand and analyze reflection effects of radar signals at 3D object models. For instance, the nature of persistent scatterers or “ghost” scatterers at man-made structures or basic reflection effects at canonical shapes can be interpreted in more detail. The decision to provide RaySAR to the community...
Synthetic Aperture Radar (SAR) can take a fine radar image without relation to sunshine condition, so it is important to propose the display method that fulfills a user's demand. SAR provides some information with high-level process. To confirm both SAR image and the results of the high-level process simultaneously, the color display is effective. However, conventional method has the restriction of...
Determining the frontal position of a calving glacier at different moments of time is a prerequisite for the estimation of the calving rate and flux. Therefore, we developed an automatic detection algorithm of glacier fronts which should be applied to large time series of SAR data and replace the manually mapping. The methodology is based on the analysis of the SAR backscattering amplitude value distribution...
With a low cut-off for the directional wave spectra CFOSAT will impact both mixed sea and swell. The complementary use of CFOSAT and SAR wave spectra will enhance the impact of the assimilation and therefore induce a more accurate sea state. The CFOSAT mission is on one hand a big challenge for operational wave forecasting system, and on the other hand a good opportunity for wave modellers in order...
At the horizon 2020, 2-D ocean wave measurements from 4 different satellites will be available. It will be a world first. Anticipating the large number of available data and the specificity of each sensor, we will have to define new methodologies to combine all different observations. This will offer new opportunities to describe ocean waves at global scale with improved time-space resolutions and...
Data synergy or fusion is a mechanism whereby discrete types of data are used together to achieve a better understanding than was possible with each individually. Spanning over 30% of the Earth's landmass, the global forest plays a significant role in numerous planetary systems including the carbon cycle. This paper presents a novel approach to estimating forest aboveground biomass and mean canopy...
Five possible mechanisms for the rain effects on the spaceborne C-band SAR observations are considered: 1) attenuation and 2) volume backscattering for the microwave transfer in atmosphere; as well as 3) rain - induced damping to the wind waves and 4) rain - generated ring waves on the ocean surface, and 5) diffraction on the sharp edges of rain products. A composite radar scattering model composed...
With ice properties being changed by the breakup of ice floes, the penetration of ocean waves into the marginal ice zone (MIZ) has a variety of potential effects on the global Earth and climate system. In the last decades, the wave propagation in ice has been studied by in situ measurements, satellite imagery, and laboratory experiments using ice tanks. As well, different theoretical models of the...
Remote sensing technology plays an important role in gathering information of social infrastructure damage which is crucial for relief and reconstruction work after strike. Comparatively speaking, radar sensors are capable of observing the ground irrespective of weather conditions or the time of the day, and therefore have been gaining prominence as a reliable tool for grasping the overall picture...
The emergence of sea surface current has a significant impact on electromagnetic (EM) backscattering signals. This may be one of important synthetic aperture radar (SAR) imaging mechanisms of ocean currents. Fractal sea surface ocean wave-current model is derived based on the mechanism of wave current interaction in this paper. A effective EM backscattering model of one dimensional drifting fractal...
The orbit of TerraSAR-X is strictly controlled and well known. Based on this information, a very high absolute accuracy in geo-locating TerraSAR-X data is possible and has been demonstrated before. In this manuscript, we present an experimental validation of this, demonstrating the very high level of accuracy achievable using only the atmospheric phase delay information provided in the header files...
Flood is one of serious natural disasters in the word. Synthetic aperture radar (SAR) has become a popular tool to detect the flood disaster for its distinct benefits such as retrieval of surface information, penetrability, and availability in all weathers. This paper aims to analyze microwave scattering characteristics of soil from low water content to semi-flooded status based on ground-scatterometer...
3D multibaseline SAR Tomography is emerging at the operational level for spaceborne monitoring of forest biomass, nevertheless problems still stands in particular about radiometric accuracy of the most diffused superresolution Capon processing. In this paper two alternative adaptive algoritms are proposed for Tomography, and tested by simulations and first P-band real data trials.
Fine-scale classification in form of object extraction or segmentation for high resolution SAR images is a challenging task due to the existing local noises, object deformation and part missing. A novel SAR classification method based on CRFs which combines low-level features, label context and object structure priors is presented in this paper. Local label pattern is proposed in this paper to model...
Earthen levees protect large areas of populated and cultivated land from flooding. The potential loss of life and property associated with the catastrophic failure of levees can be great. One type of problem that occurs along these levees which can lead to complete failure during a high water event is slough slides [1]. Using Entropy (H), Anisotropy (A), and alpha (α) parameters, we implemented Wishart...
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