A5052022373- Remote-Sensing Image Classification
- Remote Sensing in Agriculture
- Advanced Image Fusion Techniques
- Marine and coastal ecosystems
- Oceanographic and Atmospheric Processes
- Remote Sensing and LiDAR Applications
- Ocean Waves and Remote Sensing
- Medical Image Segmentation Techniques
- Remote Sensing and Land Use
- Satellite Image Processing and Photogrammetry
- Atmospheric and Environmental Gas Dynamics
- Ocean Acidification Effects and Responses
- Climate variability and models
- Coral and Marine Ecosystems Studies
- Meteorological Phenomena and Simulations
- Oil Spill Detection and Mitigation
- Geophysics and Gravity Measurements
- Marine and fisheries research
- Isotope Analysis in Ecology
- Comparative constitutional jurisprudence studies
- Marine Biology and Ecology Research
- Marine and coastal plant biology
- Image Enhancement Techniques
- Infrared Target Detection Methodologies
- Land Use and Ecosystem Services
Universidad de Las Palmas de Gran Canaria
2015-2024
Instituto Español de Oceanografía
2024
Tribunal Electoral del Estado de México
2023
Instituto de Salud del Estado de México
2023
Coastlines, shoals, and reefs are some of the most dynamic constantly changing regions globe. The emergence high-resolution satellites with new spectral channels, such as WorldView-2, increases amount data available, thereby improving determination coastal management parameters. Water-leaving radiance is very difficult to determine accurately, since it often small compared reflected from other sources atmospheric water surface scattering. Hence, correction has proven be a important step in...
On October 10 2011 an underwater eruption gave rise to a novel shallow submarine volcano south of the island El Hierro, Canary Islands, Spain. During large quantities mantle-derived gases, solutes and heat were released into surrounding waters. In order monitor impact on marine ecosystem, periodic multidisciplinary cruises carried out. Here, we present initial report extreme physical-chemical perturbations caused by this event, comprising thermal changes, water acidification, deoxygenation...
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 features of coastal region off northwest Africa. seasonal distribution shows a persistent throughout year 20° N 33° N, behaviour 12° south an almost total lack 5° N. major centres active are located around Cape Ghir, Juby Blanc. UI intensification system Africa during 20-year while alongshore remains stable. During this period, upwelled...
Remote sensing of coastal areas requires multispectral satellite images with a high spatial resolution. In this sense, WorldView-2 is very resolution satellite, which provides an advanced sensor eight narrow bands, allowing the proliferation new environmental monitoring and mapping applications in shallow ecosystems. These challenges need accurate determination water radiance, not often valued compared to other sources such as atmosphere specular reflection (sun glint). context, atmospheric...
Coastal ecosystems experience multiple anthropogenic and climate change pressures. To monitor the variability of benthic habitats in shallow waters, implementation effective strategies is required to support coastal planning. In this context, high-resolution remote sensing data can be fundamental importance generate precise seabed maps water areas. work, satellite airborne multispectral hyperspectral imagery were used map a complex ecosystem. it, submerged green aquatic vegetation meadows...
Remote multispectral data can provide valuable information for monitoring coastal water ecosystems. Specifically, high-resolution satellite-based imaging systems, as WorldView-2 (WV-2), generate at spatial scales needed to implement conservation actions protected littoral zones. However, water-leaving radiance arriving the space-based sensor is often small compared reflected radiance. In this work, complex approaches, which usually use an accurate radiative transfer code correct atmospheric...
Satellite remote sensing is an efficient and economical technique for studying coastal bottoms in clear shallow waters. Accordingly, the main objective of this study generation benthic maps using high spatial resolution multispectral images from WorldView-2/3 satellites. In context, one challenges consists eliminating disturbances caused signal by atmosphere, sea surface, water column. Regarding column correction, there controversy about its effectiveness to improve results achieved. To...
Global Navigation Satellite Systems (GNSS) signals can be used to infer geophysical data related the surface where they scatter. When dealing with sea surface, its state influences GNSS scattered and, therefore, reflectometry (GNSS-R) observables. The aim of Advanced L-band Emissivity and Reflectivity Observations Sea Surface 2008 field experiment was gather experimental study relationship GNSS-R delay-Doppler maps (DDMs) state. This work describes campaign main results obtained, among them...
Along with the launch of a number very high-resolution satellites in last decade, efforts have been made to increase spatial resolution multispectral bands using panchromatic information. Quality evaluation pixel-fusion techniques is fundamental issue benchmark and optimize different algorithms. In this letter, we present thorough analysis spectral distortions produced by eight pan sharpening techniques. The study was conducted real data from types land covers also synthetic image colors...
The precise mapping of vegetation covers in semi-arid areas is a complex task as this type environment consists sparse mainly composed small shrubs. launch high resolution satellites, with additional spectral bands and the ability to alter viewing angle, offers useful technology focus on objective. In context, atmospheric correction fundamental step pre-processing such remote sensing imagery and, consequently, different algorithms have been developed for purpose over years. They are commonly...
Remote spectral imaging of coastal areas can provide valuable information for their sustainable management and conservation biodiversity. Unfortunately, such are very sensitive to changes due human activity, natural phenomenon, introduction non-native species, climate change. Thus, the main objective this research is implementation a robust image processing methodology produce accurate bathymetry maps in shallow waters using high-resolution multispectral WorldView-2/3 satellite imagery...
Multitemporal and multisatellite studies or comparisons between satellite data local ground measurements require nowadays precise automatic geometric correction of images. This paper presents a fully system capable georeferencing images with high accuracy. An orbital prediction model, which provides initial earth locations, is combined the proposed contour-matching technique. combination allows correcting low-frequency error component, mainly due to timing model errors, as well...
The upward movement of cool and nutrient-rich waters toward the surface leads to horizontal alterations in distribution physical, chemical, biological properties. Remote sensing is being extensively applied detect such coastal upwellings; however, enormous amount data daily generated obliges develop automatic detection prediction tools. problem identifying oceanographic mesoscale structures has been studied using a variety image processing techniques; outstanding difficulties encountered...
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. work, complete processing methodology has been developed and validated complex vulnerable coastal-dune ecosystem. Specifically, the analysis carried out using WorldView-2 imagery, which offers spatial spectral resolutions. A thorough assessment of 5 atmospheric correction...
Forests are crucial for biodiversity, climate regulation, and hydrological cycles, requiring sustainable management due to threats like deforestation change. Traditional forest monitoring methods labor-intensive limited, whereas UAV LiDAR offers detailed three-dimensional data on structure extensive coverage. This study primarily assesses individual tree segmentation algorithms in two ecosystems with different levels of complexity using high-density captured by the Zenmuse L1 sensor a DJI...
The ocean involves a complex set of physical, chemical, biological, and geological processes, interacting with each other to influence our climate natural environment. One the most important disciplines in oceanography is study dynamics and, particularly, surface circulation. can estimate this by automated tracking thermal infrared features pairs sequential satellite imagery. In context, an extensive analysis different motion estimation techniques has been performed employing databases...
Sea surface salinity is a key oceanographic parameter that can be measured by means of L-band microwave radiometry. The brightness temperatures over the ocean are influenced sea state, which entirely mask signature. Sea-state corrections parameterized in terms wind speed and/or significant wave height have proven not to fully satisfactory. In 2003, it was proposed use reflectometry using navigation opportunity signals [Global Navigation Satellite System Reflectometer (GNSS-R)] for sea-state...
The eruptive phase of a submarine volcano located 2 km away from the southern coast El Hierro Island started on October 2011. This extraordinary event provoked dramatic perturbation water column. In order to understand and quantify environmental impacts caused, regular multidisciplinary monitoring was carried out using remote sensing sensors. this context, we performed systematic processing every MODIS MERIS selected high resolution Worldview-2 imagery provide information concentration...
Coastal areas are key to sustaining biodiversity, but their complexity and variability makes analysis challenging. On the other hand, mountain ecosystems include a large percentage of global biodiversity monitoring is essential, as they especially vulnerable climate change. In this context, remote sensing offers cost-effective technology for conservation both kinds natural areas. work, multispectral hyperspectral data recorded by sensors, onboard satellites, aircrafts remotely piloted...
Monitoring dense forest ecosystems, such as the laurel in Garajonay National Park, is vital for biodiversity conservation, carbon storage, and ecological balance. This study employs satellite remote sensing technologies to introduce a novel methodology, based on vegetation indices, aiming assess protect health of forest. Utilizing Jeffries-Matusita distance histogram-based method, optimal indices map degradation, like Wide Dynamic Range Vegetation Index (WDRVI) Modified Simple Ratio (MSR),...
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 15 minutes capability provides an important amount information for cloud tracking. In this work, we have first conducted a detailed evaluation twelve region matching techniques order to select those providing best results. For performance evaluation, databases synthetic real sequences been used. Next,...
Satellite sensors usually provide two types of data: panchromatic and multispectral images which are characterized by their high spatial resolution spectral respectively. In this context, the fusion techniques or pansharpening consist merging these different aspects to obtain a fused (or pan-sharpened) image with resolutions. paper, new quality assessment scheme for pan-sharpened remote sensing imagery is proposed. The methodology described extracts segments constitute basic elements...
In many image processing applications, the gray levels of pixels belonging to object are quite different from background. Thresholding becomes then a simple but effective tool separate objects This segmentation is being used in research and operational so attempts automate thresholding has been permanent area interest. However, several difficulties impede achieve all situations desired results, for any specific problem, techniques will have be tested order select those providing best...