María González-Audicana

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Usual image fusion methods inject features from a high spatial resolution panchromatic sensor into every low spatial resolution multispectral band trying to preserve spectral signatures and improve spatial resolution to that of the panchromatic sensor. The objective is to obtain the image that would be observed by a sensor with the same spectral response(More)
Since Chavez proposed the highpass filtering procedure to fuse multispectral and panchromatic images, several fusion methods have been developed based on the same principle: to extract from the panchromatic image spatial detail information to later inject it into the multispectral one. In this paper, we present new fusion alternatives based on the same(More)
Probably the most popular image fusion method is that based on the intensity-hue-saturation (IHS) transform. Although the spatial enhancement of the IHS-merged images is high, the distortion of its spectral information may also be important. In recent years, several methods have been developed to minimize this problem, being those based on wavelets widely(More)
Radar-based surface soil moisture retrieval has been subject of intense research during the last decades. However, several difficulties hamper the operational estimation of soil moisture based on currently available spaceborne sensors. The main difficulty experienced so far results from the strong influence of other surface characteristics, mainly(More)
In the last years, many topographic correction (TOC) methods have been proposed to correct the illumination differences between the areas observed by optical remote sensors. Although the available number of TOC methods is high, the evaluation of their performance generally relies on the existence of precise land-cover information, and a standardized and(More)
The present paper reports the first results of an ongoing research whose main objective is the development of a simple methodology for initialising and updating the soil moisture component of distributed hydrological models using SAR data. Five RADARSAT-1 images acquired between 27 February 2003 and 2 April 2003 over the Navarre region (Northern Spain) have(More)
The present paper focuses on the ability of currently available RADARSAT-1 data to estimate surface soil moisture over an agricultural catchment using the theoretical integral equation model (IEM). Five RADARSAT-1 scenes acquired over Navarre (north of Spain) between February 27, 2003 and April 2, 2003 have been processed. Soil moisture was measured at(More)
One of the aims of our research team is to develop algorithms to assign automatically a crop to a cadastral parcel, matching raster information (multispectral classified images) and vectorial information (polygons defining parcel borderlines). The use of multispectral images with high spatial resolution would assist these assignations. In this work, new(More)
A new procedure to assess the quality of topographic correction (TOC) algorithms applied to remote sensing imagery was previously proposed by the authors. This procedure was based on a model that simulated synthetic scenes, representing the radiance an optical sensor would receive from an area under some specific conditions. TOC algorithms were then applied(More)
Radar based surface soil moisture retrieval has been subject of intense research during the last decades. However, the space-borne radar sensors available so far provided single configuration observations where the influence of surface roughness frequently caused the solution of the backscattering process to be ill-posed. The ENVISAT/ASAR sensor offers new(More)