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Publications (76)
The shallow Tagoro submarine volcano monitoring represents a unique opportunity not only for improving our sparse understanding of submarine volcanic processes in specific scientific fields as physical and chemical oceanography or marine geology but also its interactions over the marine biology in one of the richest marine ecosystems in Europe. Thi...
Satellite remote sensing is an efficient and economical technique for studying coastal bottoms in clear and shallow waters. Accordingly, the main objective of this study is the generation of benthic maps using high spatial resolution multispectral images from the WorldView-2/3 satellites. In this context, one of the main challenges consists of elim...
Remote spectral imaging of coastal areas can provide valuable information for their sustainable management and conservation of their biodiversity. Unfortunately, such areas are very sensitive to changes due to human activity, natural phenomenona, introduction of non-native species and climate change. Thus, the main objective of this research is the...
Coastal areas are key to sustaining biodiversity, but their complexity and variability makes their analysis challenging. On the other hand, mountain ecosystems include a large percentage of the global biodiversity and their monitoring is essential, as they are especially vulnerable to climate change. In this context, remote sensing offers a cost-ef...
The accurate monitoring of water quality indicators, bathymetry and distribution of benthic habitats in vulnerable ecosystems is key to assessing the effects of climate change, the quality of natural areas and to guide appropriate biodiversity, tourism or fisheries policies. Coastal and inland water ecosystems are very complex but crucial due to th...
The accurate monitoring of water quality indicators, bathymetry and distribution of benthic habitats in vulnerable ecosystems is key to assessing the effects of climate change, the quality of natural areas and to guide appropriate biodiversity, tourism or fisheries policies. Coastal and inland water ecosystems are very complex but crucial due to th...
Las tecnologías de la información y comunicaciones (TIC) forman parte de nuestras vidas en todos los ámbitos (personales, sociales, profesionales, etc.). Está demostrado que el uso de las TIC favorece la creatividad, el trabajo en grupo y demás habilidades cada vez más valoradas en el mercado laboral. En este contexto, hoy en día existen multitud d...
Image fusion (pan-sharpening) plays an important role in remote sensing applications. Mainly, this process allows to obtain images of high spatial and spectral resolution. However, pan-sharpened images usually present spectral and spatial distortion when comparing with the source images. Because of this, the evaluation of the spectral quality of pa...
Vegetation mapping is a priority when managing natural protected areas. In this
context, very high resolution satellite remote sensing data can be fundamental in
providing accurate vegetation cartography at species level. In this work, a complete
processing methodology has been developed and validated in a complex vulnerable
coastal-dune ecosystem....
Coastal ecosystems experience multiple anthropogenic and climate change pressures. To monitor the variability of the benthic habitats in shallow waters, the implementation of effective strategies is required to support coastal planning. In this context, high-resolution remote sensing data can be of fundamental importance to generate precise seabed...
Vegetation mapping is a priority element for the management of natural protected areas. In this context, very high-resolution satellite remote sensing data can be fundamental to provide accurate vegetation cartography at species level. Specifically, the analysis has been carried out using WorldView-2 (WV-2) imagery, which offers high spatial and sp...
Remote multispectral data can provide valuable information for monitoring coastal water ecosystems. Specifically, high-resolution satellite-based imaging systems, as WorldView-2 (WV-2), can generate information at spatial scales needed to implement conservation actions for protected littoral zones. However, coastal water-leaving radiance arriving a...
The objective of this work was to analyze the evolution of the vegetation covers of Teide National Park through the use of remote sensing data. The analysis of changes has been carried out on two scales: at medium resolution using Landsat data and at very high resolution, for specific zones, by means of the combination of aerial orthophotos and the...
Satellite sensors usually provide two types of data: panchromatic and multispectral images which are characterized by their high spatial resolution and high spectral resolution respectively. In this context, the fusion techniques or pansharpening consist of merging these different aspects to obtain a fused (or pan-sharpened) image with high spatial...
The precise mapping of vegetation covers in semi-arid areas is a complex task as this type of environment consists of sparse vegetation mainly composed of small shrubs. The launch of high resolution satellites, with additional spectral bands and the ability to alter the viewing angle, offers a useful technology to focus on this objective. In this c...
Remote sensing of coastal areas requires multispectral satellite images with a high spatial resolution. In this sense, WorldView-2 is a very high resolution satellite, which provides an advanced multispectral sensor with eight narrow bands, allowing the proliferation of new environmental monitoring and mapping applications in shallow coastal ecosys...
Actualmente existen satélites observando la Tierra con un alto nivel de detalle destacando, especialmente, el WorldView-2, lanzado en 2009, por ser el primer satélite comercial de alta resolución con 8-bandas de 1,85 m de resolución espacial y una banda pancromáticas a 46 cm de resolución. Las nuevas bandas disponibles permiten una mayor penetració...
The analysis of the seafloor in shallow waters using remote sensing imagery at very high spatial resolution is a very challenging topic due to the minimum signal level received; the presence of noisy contributions from the atmosphere, solar reflection, foam, turbidity and water column; and the limited spectral information available for the classifi...
The eruptive phase of a submarine volcano located 2 km away from the southern coast of El Hierro Island started on October 2011. This extraordinary event provoked a dramatic perturbation of the water column. In order to understand and quantify the environmental impacts caused, a regular multidisciplinary monitoring was carried out using remote sens...
This paper provides an objective evaluation of six supervised classification techniques and three state of the art features, with the objective of obtaining a single combination of them that provides both robustness and objective performance improvements. As a conclusion, a simple procedure for obtaining LULC maps with four targeted classes is prop...
El Hierro Island, located at the Canary Islands Archipelago in the Atlantic coast of North Africa, has been rocked by thousands of tremors and earthquakes since July 2011. Finally, an underwater volcanic eruption started 300 m below sea level on October 10, 2011. Since then, regular multidisciplinary monitoring has been carried out in order to quan...
Along with the launch of a number of very high-resolution satellites in the last decade, efforts have been made to increase the spatial resolution of the multispectral bands using the panchromatic information. Quality evaluation of pixel-fusion techniques is a fundamental issue to benchmark and to optimize different algorithms. In this letter, we p...
[This corrects the article DOI: 10.1038/srep00486.].
In this letter, a region-based fusion methodology is presented for joint classification and hierarchical segmentation of specific ground cover classes from high-spatial-resolution remote sensing images. Multispectral information is fused at the partition level using nonlinear techniques, which allows the different relevance of the various bands to...
The emergence of high-resolution satellites with new spectral channels
and the ability to change its viewing angle has highlighted the
importance of modeling the atmospheric effects. So, atmospheric
correction serves a critical role in the processing of remotely sensed
image data, particularly with respect to identification of pixel
content. Effici...
Image fusion is the process of combining information from two or more
images into a single composite image that is more informative for visual
perception or additional processing. Pan-sharpening algorithms work
either in the spatial or in the transform domain and the most popular
and effective methods include arithmetic combinations (Brovey
transfo...
Satellite remote sensing is providing a systematic, synoptic framework
for advancing scientific knowledge of the Earth as a complex system of
geophysical phenomena that, directly and through interacting processes,
often lead to natural hazards. The recent eruption of a submarine
volcano at the El Hierro Island has provided a unique and outstanding...
The singular characteristics of the Canarian archipelago (Spain) and, in
particular, of the Gran Canaria island have allowed the development of a
unique biological richness. Almost half of its territory is protected to
preserve the natural environment and, in consequence, the monitoring of
vegetated regions plays an important role for regional admi...
On October 10 2011 an underwater eruption gave rise to a novel shallow submarine volcano south of the island of El Hierro, Canary Islands, Spain. During the eruption large quantities of mantle-derived gases, solutes and heat were released into the surrounding waters. In order to monitor the impact of the eruption on the marine ecosystem, periodic m...
The use of weather forecasting models in energy applications has proven to be an effective tool in the management of renewable energy sources in power distribution networks which requires precise predictions and high-resolution of solar radiation and wind speed data. Therefore, the use of data from meteorological satellites such as Meteosat second...
Nowadays, high spatial resolution remote sensing systems collect simultaneously a low resolution multispectral image plus a high resolution panchromatic image. The objective of pixel level fusion methods is to combine this information in order to obtain a new multispectral image that exhibits the spectral characteristics of the multispectral image...
Changes in environmental parameters such as sea surface temperature, chlorophyll concentration and aerosol optical depth, need to be considered since they are believed to be directly related to climate change. A detailed study has been conducted to obtain several maps highlighting those areas presenting a greater variation. This way, a regional eva...
Sea surface salinity is a key oceanographic parameter that can be measured by means of L-band microwave radiometry. The measured brightness temperatures over the ocean are influenced by the sea state, which can entirely mask the salinity signature. Sea-state corrections parameterized in terms of wind speed and/or significant wave height have proven...
The upwelling index (UI) obtained from sea surface temperature (SST) images for the period 1987–2006 and remote sensing wind stress were used to analyse the features of the coastal upwelling region off northwest Africa. The seasonal distribution shows a persistent upwelling throughout the year from 20° N to 33° N, seasonal behaviour from 12° N to s...
Global Navigation Satellite Systems (GNSS) signals can be used to infer geophysical data related to the surface where they scatter. When dealing with the sea surface, its state influences the GNSS scattered signals and, therefore, the GNSS reflectometry (GNSS-R) observables. The aim of the Advanced L-band Emissivity and Reflectivity Observations of...
Spatial registration of multidate or multisensorial images is required for many applications in remote sensing. Automatic image registration, which has been extensively studied in other areas of image processing, is still a complex problem in the framework of remote sensing. In this work we explore an alternative strategy for a fully automatic and...
A new region-based methodology for the automated extraction and hierarchical segmentation of vegetation areas into high spatial resolution images is proposed. This approach is based on the iterative and cooperative fusion of the independent segmentation results of equal or different resolution spectral bands, combined with an unsupervised classific...
Determination of atmospheric dynamic characteristics from remote sensing imagery is fundamental in weather and climate studies. The SEVIRI radiometer, on board the MSG, with its 12 bands and 15 minutes sensing capability provides an important amount of information for cloud tracking. In this work, we have first conducted a detailed evaluation of tw...
Changes in the coastal upwelling ecosystems need to be accounted for as these structures are responsible for an important percentage of the global fish catch, for the primary and secondary productivity and for the atmosphere-ocean exchange. In this sense, our work aims to assess its impact in the coastal upwelling regions located in the northwest A...
RESUMEN Se ha desarrollado una metodología para la estima-ción del movimiento superficial del océano que se basa en el uso de 12 técnicas de correspondencia de regiones. Para evaluar de forma exhaustiva cada una de ella, se ha generado una base de datos que incluye secuencias sintéticas, secuencias reales de los senso-res AVHRR y MODIS y medidas in...
Spatial registration of multidate or multisensorial images is required for many applications in remote sensing. Automatic image registration, which has been extensively studied in other areas of image processing, is still a complex problem in the framework of remote sensing. In this work we explore an alternative strategy for a fully automatic and...
The ocean involves a complex set of physical, chemical, biological, and geological processes, interacting with each other to influence our climate and natural environment. One of the most important disciplines in oceanography is the study of the ocean dynamics and, particularly, the ocean surface circulation. One can estimate this by the automated...
The ocean involves a complex set of physical, chemical, biological and geological processes, interacting each other to influence our climate and natural environment. One of the most important disciplines in oceanography is the study of the ocean dynamics. Particularly, ocean surface circulation can be recovered by the automated tracking of thermal...
The study of the ocean circulation is the central core of all dynamical oceanography. The routine derivation of sea surface temperature or infrared brightness temperatures has been used to estimate the surface circulation by calculating the motion of the thermal features (coastal upwellings, filaments and eddies) in successive images. To that respe...
The upward movement of cool and nutrient-rich waters toward the surface leads to horizontal alterations in the distribution of the physical, chemical, and biological properties. Remote sensing is being extensively applied to detect such coastal upwellings; however, the enormous amount of data daily generated obliges to develop automatic detection a...
An atmospheric correction algorithm for the retrieval of sea surface temperature (SST) from the Canary Islands–Azores–Gibraltar area is developed by using a matchup dataset from Advanced Very High Resolution Radiometer (AVHRR) multiple-infrared window channel data and in situ SST data. The improvements and restrictions introduced in the systematic...
In many image processing applications, the gray levels of pixels belonging to the object are quite different from the levels belonging to the background. Thresholding becomes then a simple but effective tool to separate objects from the background. This segmentation tool is being used in many research and operational applications, so attempts to au...
The development of algorithms for the production of reliable Sea Surface Temperature (SST) data sets from space borne infrared radiometers has been pursued by different agencies since late 1960's. The current state of the art in SST retrieval from space is limited by radiometer window placement, radiometer noise, quality of pre-launch characterizat...
Spatial registration of multidate or multisensor images is required for many applications in remote sensing. Automatic image registration, which has been extensively studied in other areas of image processing, is still a complex problem in the framework of remote sensing. This work explores an alternative strategy for a fully automatic and operatio...
Sea surface temperature (SST) is one of the main factors in the understanding of the interaction between the oceans and the atmosphere, so the development of algorithms for the production of reliable SST data sets from space borne infrared radiometers has been pursued since late 1960's. Unfortunately the thermal structure in the upper 10 m of the o...
The upward movement of cool and nutrient-rich waters towards the surface leads to horizontal alterations in the distribution of physical, chemical and biological properties. Remote sensing is being extensively applied to detect such coastal upwellings; however, the enormous amount of data daily generated obliges to develop automatic detection and p...
Multitemporal and multisatellite studies or comparisons between satellite data and local ground measurements require nowadays precise and automatic geometric correction of satellite images. This paper presents a fully automatic geometric correction system capable of georeferencing satellite images with high accuracy. An orbital prediction model, wh...
Mesoscale processes such as upwellings, eddies, or thermal fronts are very energetic and their knowledge is very important not only to study oceanic circulation but also areas of applications that include acoustic propagation anomalies, fisheries management and exploitation, coastal monitoring and offshore or ocean oil detection and exploitation. A...
The problem of identifying mesoscale structures has been studied using a variety of image processing techniques, mainly, texture analysis, edge detection, mathematical morphology, neural networks and wavelet transform. The foremost difficulties encountered in the preceding approaches are the presence of noise, mainly due to clouds and other atmosph...
The retrieval of the sea surface temperature (SST) from space is limited by radiometer noise and window placement, in-flight calibration quality, viewing geometry and, specially, by the atmospheric correction. Thus, the potential for highly accurate SST measurements has led to considerable interest within the research community in the development a...
An automatic approach for high accuracy registration of multisensor and multitemporal remote sensing images is presented. It avoids the use of ground control points, while exploiting the maximum reliable information in both images. Features to be used for image registration are those contours in both images that have been classified as coastline (r...
A methodology to obtain the sea surface temperature (SST) in the Canary-Azores-Gibraltar area has been developed. The final accuracy of the AVHRR-based SST retrievals depends both on the accuracy of the measured radiance and the accuracy of the SST retrieval algorithm that converts the measured radiance into sea surface temperature. The procedure m...
This paper presents a technique for a fully automatic and
operational geometric correction system capable of georeferencing
satellite images with high accuracy. A simple Keplerian orbital
satellite model is considered and mean orbital elements are given as
input from ephemeris data. To correct the systematic errors caused by
these simplifications,...
The need for high accuracy in the measurement of sea surface
temperature (SST) from space was recognized in the early stages of
planning the World Climate Research Program. Improvements on the
normally used methodologies to obtain accurate and automatic maps of SST
in the Canary-Azores-Gibraltar area have been developed. Procedures
applied to the i...
The problem of precise and automatic AVHRR image navigation is
tractable in theory, but has proved to be somewhat difficult in
practice. The authors' work has been motivated by the need for a fully
automatic and operational navigation system capable of geo-referencing
NOAA-AVHRR images with high accuracy and without operator supervision.
The propos...
Although different methods for NOAA AVHRR image navigation have already been established, the multitemporal and multi-satellite character of most studies requires automatic and accurate methods for navigation of satellite images. In the proposed method, a simple Kepplerian orbital model for the NOAA satellites is considered as reference model, and...
The technical complexity of the present remote sensing systems, the different levels of processing involved to obtain the geophysics parameters, the interest in multi-temporal and multi-sensorial studies and the growing request of accuracy and temporal resolution in satellite measurements, requires the establishment of a hierarchy of processes that...
In this article an original formulation of McCulloch’s Artificial Program II is presented. A general methodology in order
to build layered distributed granular computing machines is obtained. We apply this Program II to the classification stage
of a pattern recognition system leading to Lastres Approach.
