DInSAR coseismic deformation of the May 2011 Mw 5.1 Lorca earthquake, (Southern Spain)

The coseismic superficial deformation at the region of Lorca (Murcia, southeastern Spain) due to the Mw 5.1 earthquake on 11 May 2011 was characterized by a multidisciplinary team, integrating information from DInSAR, GPS and numerical modelling techniques. Despite the moderate magnitude of the event, quantitative information was obtained from the interferometric study of a pair of TerraSAR-X images. The DinSAR results defined the trace of the fault plane and evidenced uplift of the hanging wall block in agreement with the estimated deformation obtained through an elastic rupture dislocation numerical model. Meanwhile for the footwall block, interferometric results showed that tectonic deformation is masked by an important subsidence related to groundwater extraction previously identified at the area of study. Horizontal crustal deformation rates and velocity vectors,obtained from GPS stations existent at the area, were also coherent with the tectonic setting of the southern margin of the Iberian Peninsula and with the focal mechanism calculated or the Lorca event. The analysis of a continuous GPS site in Lorca showed good agreement with the horizontal NS direction component relative to the numerical model and tectonics of the region. This is the first time at this seismic active area that a multitechnique analysis has been performed immediately after the occurrence of a seismic event, comparing the existing deformation data with a theoretical numerical model based on estimated seismic rupture dislocation

Growth and magnetic characterization of Co nanoparticles obtained by femtosecond pulsed laser deposition

We present a detailed study on the morphology and magnetic properties of Co nanostructures deposited onto oxidized Si substrates by femtosecond pulsed laser deposition. Generally, Co disks of nanometric dimensions are obtained just above the ablation threshold, with a size distribution characterized by an increasingly larger number of disks as their size diminishes, and with a maximum disk size that depends on the laser power density. In Au/Co/Au structures, in-plane magnetic anisotropy is observed in all cases, with no indication of superparamagnetism regardless of the amount of material or the laser power density. Magnetic force microscopy observations show coexistence of single-domain and vortex states for the magnetic domain structure of the disks. Superconducting quantum interference device magnetometry and x-ray magnetic circular dichroism measurements point to saturation magnetization values lower than the bulk, probably due to partial oxidation of the Co resulting from incomplete coverage by the Au capping layer.Work was supported in part by the U.S. Department of Energy, Basic Energy Sciences (Grant No. DE-FG02-06ER46273), NSF FOCUS Center, the Spanish Ministerio de Educación y Ciencia (References No. PR2005-0017 and No.MAT2005-05524-C02), Comunidad de Madrid (Reference No. S-0505/MAT/0194 NANOMAGNET), and CSIC (Reference No. 200650I130). Support from the SRS staff during the XMCD experiments is greatly acknowledged. Y.H. and L.M. also acknowledge financial support from the “Ramón y Cajal” and “Juan de la Cierva” programs, respectively, from the Spanish Ministerio de Investigación y Ciencia and Consejo Superior de Investigaciones Científicas (CSIC).Peer reviewe

La teledetecció al servei del territori de Catalunya

Les aplicacions de la teledetecció en el sector agrícola i urbà (contaminació, etc.

Multiresolution-based image fusion with additive wavelet decomposition

The standard data fusion methods may not be satisfactory to merge a high-resolution panchromatic image and a low-resolution multispectral image because they can distort the spectral characteristics of the multispectral data. The authors developed a technique, based on multiresolution wavelet decomposition, for the merging and data fusion of such images. The method presented consists of adding the wavelet coefficients of the high-resolution image to the multispectral (low-resolution) data. They have studied several possibilities concluding that the method which produces the best results consists in adding the high order coefficients of the wavelet transform of the panchromatic image to the intensity component (defined as L=(R+G+B)/3) of the multispectral image. The method is, thus, an improvement on standard intensity-hue-saturation (IHS or LHS) mergers. They used the ¿a trous¿ algorithm which allows the use of a dyadic wavelet to merge nondyadic data in a simple and efficient scheme. They used the method to merge SPOT and LANDSATTM images. The technique presented is clearly better than the IHS and LHS mergers in preserving both spectral and spatial information

Detección por el satélite LANDSAT-4 de los efectos de la riada del 8-XI-82 en el río Segre

Por medio de técnicas de tratamiento de imágenes digitales se realiza un estudio de los efectos producidos por una inundación ocurrida a finales del año 1982 en el valle del río Segre, en Catalunya, a partir de la información multiespectral captada por el sensor TM del satélite LANDSAT-4. Utilizando un programa de clasificación no supervisada basado en la distancia euclídea, se diferencian cuatro tipos de suelo o de cubiertas en el rea de estudio (3.8 x 2.3 km). Se efecta un análisis cuantitativo de la calidad de los resultados, usando como referencia la información obtenida en un estudio de campo. Este análisis muestra un alto grado de correspondencia entre el mapa de campo (verdad terreno) y la cartografía realizada a partir de los datos multiespectrales

A wavelet-based method for the determination of the relative resolution between remotely sensed images

Spatial resolution is a key parameter of all remote sensing satellites and platforms. The nominal spatial resolution of satellites is a well-known characteristic because it is directly related to the area in ground that represents a pixel in the detector. Nevertheless, in practice, the actual resolution of a specific image obtained from a satellite is difficult to know precisely because it depends on many other factors such as atmospheric conditions. However, if one has two or more images of the same region, it is possible to compare their relative resolutions. In this paper, a wavelet-decomposition-based method for the determination of the relative resolution between two remotely sensed images of the same area is proposed. The method can be applied to panchromatic, multispectral, and mixed (one panchromatic and one multispectral) images. As an example, the method was applied to compute the relative resolution between SPOT-3, Landsat-5, and Landsat-7 panchromatic and multispectral images taken under similar as well as under very different conditions. On the other hand, if the true absolute resolution of one of the images of the pair is known, the resolution of the other can be computed. Thus, in the last part of this paper, a spatial calibrator that is designed and constructed to help compute the absolute resolution of a single remotely sensed image is described, and an example of its use is presented

Desengaños misticos a las almas detenidas, o engañadas en el camino de la perfeccion : discurrense las mas principales causas, y razones ...: se descubren los daños, y se aplican convenientes remedios ...

Sign. : [ ]\p4\s, b-e\p4\s, A-Z\p4\s, 2A-2Z\p4\s, 3A-3Z\p4\s, 4A-4D\p4\s, 4E\p2\sAntepTexto a dúas co

Detección por el satélite LANDSAT-4 de los efectos de la riada del 8-XI-82 en el río Segre

Por medio de técnicas de tratamiento de imágenes digitales se realiza un estudio de los efectos producidos por una inundación ocurrida a finales del año 1982 en el valle del río Segre, en Catalunya, a partir de la información multiespectral captada por el sensor TM del satélite LANDSAT-4. Utilizando un programa de clasificación no supervisada basado en la distancia euclídea, se diferencian cuatro tipos de suelo o de cubiertas en el rea de estudio (3.8 x 2.3 km). Se efecta un análisis cuantitativo de la calidad de los resultados, usando como referencia la información obtenida en un estudio de campo. Este análisis muestra un alto grado de correspondencia entre el mapa de campo (verdad terreno) y la cartografía realizada a partir de los datos multiespectrales

Multiresolution-based image fusion with additive wavelet decomposition

The standard data fusion methods may not be satisfactory to merge a high-resolution panchromatic image and a low-resolution multispectral image because they can distort the spectral characteristics of the multispectral data. The authors developed a technique, based on multiresolution wavelet decomposition, for the merging and data fusion of such images. The method presented consists of adding the wavelet coefficients of the high-resolution image to the multispectral (low-resolution) data. They have studied several possibilities concluding that the method which produces the best results consists in adding the high order coefficients of the wavelet transform of the panchromatic image to the intensity component (defined as L=(R+G+B)/3) of the multispectral image. The method is, thus, an improvement on standard intensity-hue-saturation (IHS or LHS) mergers. They used the ¿a trous¿ algorithm which allows the use of a dyadic wavelet to merge nondyadic data in a simple and efficient scheme. They used the method to merge SPOT and LANDSATTM images. The technique presented is clearly better than the IHS and LHS mergers in preserving both spectral and spatial information