The Waza-Logone floodplain in the north of Cameroon is both ecologically and economically of exceptional importance. Envisat ASAR Alternating Polarization images are used for studying the flooded grassland vegetation. Backscatter signature of different vegetation types, varying in species composition, height, density, and flooding condition, were analyzed and interpreted. Feature selection base...

This paper proposed to use double polarization synthetic aperture radar (SAR) image to classify surface feature, based on DEM. It takes fully use of the polarization information and external information. This paper utilizes ENVISAT ASAR APP double-polarization data of Poyang lake area in Jiangxi Province. Compared with traditional pixel-based classification, this paper fully uses object feature...

This paper presents a new approach to flood mapping using satellite synthetic-aperture radar (SAR) images that is based on intelligent techniques. In particular, we apply artificial neural networks, self-organizing Kohonen’s maps (SOMs), for SAR image segmentation and classification. Our approach was used to process data from different satellite SAR instruments (ERS-2/SAR, ENVISAT/ASAR, RADARSA...

The objective of this paper is to analyze the behaviour of a backscattered signalaccording to soil moisture depth over bare soils. Analysis based on experimental verticalmoisture profiles and ASAR/ENVISAT measurements has been carried out. A modifiedIEM model with three permittivity layers (0-1cm, 1-2cm, 2-5cm) has been developed andused in this study. Results show a small effect of moisture pr...

The main objective of this work is to design automatic detection procedures for oil spill in synthetic aperture radar (SAR) satellite data. In doing so the genetic algorithm tool was designed to investigate the occurrence of using ENVISAT and RADARSAT-2 SAR satellite data. The study shows that genetic algorithm provides accurate pattern of oil slick in SAR data. This shown by 90% for oil spill,...

Our aim is to use unsupervised, non-Gaussian clustering of Arctic glaciers for post-classification change detection. Firstly, we demonstrate the consistency of nonGaussian clustering algorithms for Envisat ASAR images by characterizing the expected random error level for different SAR acquisition conditions (such as incidence angle).This allows us to determine whether an observed variation is s...

Work partly sponsored by the European Commission under the 5 Framework Program, contract EVG2-CT-2002-20002 Abstract A ship detection algorithm is developed that uses Envisat ASAR imagery in alternating polarisation mode. From airborne data it is shown that of the two copolarisations, HH is preferred over VV because of a larger ship-to-clutter ratio. Combining the HH and HV images of alternatin...

In this paper Problem 17.13 by A.O. Asar in The Kourovka Notebook is studied which is ’Let G be a totally imprimitive p− group of finitary permutations on an infinite set. Suppose that the support of any cycle in the cyclic decomposition of every element of G is a block for G. Does G necessarily contain a minimal non− FC − subgroup?’ and an example of a group G satisfying these conditions but n...

a r t i c l e i n f o Accurate mapping of urban impervious surfaces is important but challenging due to the diversity of urban land covers. This study presents an effort to synergistically combine optical and SAR data to improve the mapping of impervious surfaces. Three pairs of optical and SAR images, Landsat ETM+ and ENVISAT ASAR, SPOT-5 and ENVISAR ASAR, and SPOT-5 and TerraSAR-X, were selec...

The GLOWA-initiative, funded by the German Ministry of Research and Education (BMBF), has been established to address the consequences of Global Change, which is understood as affecting future development far beyond Climate Change and to include changes in land use, population and development, on regional water resources. The GLOWA-Danube project (www.GLOWA-Danube.de) is dealing with the Upper ...