Francisco Eugenio

Francisco Eugenio
Universidad de Las Palmas de Gran Canaria | ULPGC · Instituto Universitario de Oceanografía y Cambio Global (Iocag)

PhD

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73
Publications
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Publications

Publications (73)
Article
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...
Article
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...
Article
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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...
Article
Full-text available
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...
Article
Full-text available
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...
Conference Paper
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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...
Article
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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...
Article
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....
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Full-text available
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...
Conference Paper
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...
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Full-text available
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...
Conference Paper
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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...
Article
Full-text available
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...
Article
Full-text available
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...
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Full-text available
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...
Conference Paper
Full-text available
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...
Conference Paper
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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...
Article
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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...
Conference Paper
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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...
Article
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...
Article
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...
Article
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...
Conference Paper
Full-text available
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...
Conference Paper
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...
Conference Paper
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...
Article
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...
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Full-text available
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...
Conference Paper
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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...
Conference Paper
Full-text available
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...
Article
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...
Article
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...
Article
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...
Article
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...
Article
Full-text available
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...
Conference Paper
Full-text available
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...
Conference Paper
Full-text available
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...
Conference Paper
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...
Article
Full-text available
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...
Article
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...
Article
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...
Conference Paper
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...
Conference Paper
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...
Article
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...
Article
Full-text available
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...
Article
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...
Article
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...
Conference Paper
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...
Conference Paper
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...
Conference Paper
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...
Article
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...
Conference Paper
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...
Conference Paper
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...
Conference Paper
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...
Conference Paper
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...
Article
Full-text available
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...
Conference Paper
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,...
Conference Paper
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...
Conference Paper
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...
Article
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...
Article
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...
Conference Paper
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.

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