Leonardo Daniel Euillades

National University of Cuyo | UNCUYO · Instituto CEDIAC

Forest detection in remote sensing data is essential for important applications such as detection of area desertification, flooding simulation, forest health analysis, or conversion of digital elevation models. Existing techniques have open issues: they do not generalize well to different scenarios, they lack accuracy, and they require human interv...

In this work we present an orbital correction workflow developed with FOSS tools to compensate for orbital errors present in Synthetic Aperture Radar (SAR) interferograms. The technique is tested in forested areas in Argentina, using full polarimetric images from the argentinean SAR constellation SAOCOM-1 (Satélite Argentino Con Microondas). The re...

Detection and continuous monitoring of Earth's ground surface changes, triggered by natural phenomena or induced by human activities, is nowadays possible using Earth Observation (EO) technologies. Indeed, the exploitation of remotely sensed data collected by constellations of new-generation satellite platforms, complemented with in-situ measuremen...

Landslides are downslope mass movements, which implies the combination of natural complex processes and sometimes affect anthropic resources. Many researchers inventoried landslides in the Argentinian Andean Precordillera by using aerial photography, satellite images, geomorphological analyses and GPS measures. Those located in latitudes between 31...

In this paper, some results obtained through the processing of data acquired from the Argentinian L-band SARAT system are presented. SARAT is an airborne system that was developed as a first conceptual step toward the design of the Argentinian L-Band satellite mission SAOCOM-1. In particular, some studies relevant to the data focusing, and also reg...

Cerro Blanco Volcanic Complex (CBVC) is one of the youngest caldera complexes in the Southern Central Andes. Subsidence registered at CBVC has shown a slowdown in deformation velocity since 1992 (2.6 cm/yr) to 2010 (0.87 cm/yr). We update the deformation state of this caldera system by processing DInSAR data between 2003 and 2020 and GPS as a compl...

Deformation signals recorded at volcanoes have long been used to infer the processes behind subsurface magma intrusions. Monitoring strategies vary greatly depending on several factors such as the activity of the individual volcano, access, available personnel, and funding. Certain geodetic monitoring methods, such as Electronic Distance Measuremen...

Differential Interferometric Synthetic Aperture Radar (DInSAR) has been used for measuring ground deformations with high both spatial and temporal resolutions. The effectiveness of this technique has been extensively proved using mainly C and X band because of the availability of SAR platforms operating in these frequencies. In vegetated areas, L-b...

Sabancaya is the most active volcano of the Ampato-Sabancaya Volcanic Complex (ASVC) in southern Perú and has been erupting since 2016. The analysis of ascending and descending Sentinel-1 orbits (DInSAR) and Global Navigation Satellite System (GNSS) datasets from 2014 to 2019 imaged a radially symmetric inflating area, uplifting at a rate of 35 to...

Deep Learning algorithms have achieved great progress in different applications due to their training capabilities, parameter reduction and increased accuracy. Image processing is a particular area that has received recent attention promoted by the growing processing power and data availability. Remote sensing devices provide image-like data that c...

Processing of data gathered from remote sensing devices like satellite and aircraft-based sensors can provide useful information about important phenomena related to the earth, like volcano shape and activity, glacier and icebergs tracking, urban monitoring, forestation changes, among others. Particularly, forestation detection is useful in differe...

Whereas research in volcano geodesy seeks to push the boundaries of our knowledge of the physics of volcanoes, monitoring looks at changes in volcano behavior to predict when a volcanic crisis might develop. To be effective, geodetic monitoring must be done before, during, and after eruptions and must be integrated with other monitoring techniques....

Analizar las deformaciones superficiales del suelo generadas a causa de los ciclos hidrológicos que afectan los niveles de la capa freática

The purpose of this project is to develop methodologies for processing Synthetic Aperture Radar images (SAR) which grant characterization of slow crustal deformation in time and space.

In this study, we analyzed Synthetic Aperture Radar scenes in order to detect surface deformation associated with oil and gas production in Argentina. Processing technique is the well-known SBAS DInSAR one, which allows obtaining deformation time series showing the spatial and temporal characterization of the surface displacement with high resoluti...

MT-DInSAR. Subsidence. Uplift. Oilfield deformation. In this study we present the fundamental notions of the so called Multi-teporal Interferometric techniques (MT-DInSAR) used for spatial and temporal characterization of crustal deformation. They are broadly used in relation with active volcanism, active tectonics, earthquakes, landslides, glacier...

Well integrity is affected by two major issues: design and the underground environment. Anticlinales Perales Sur (APS) oilfield is located 30km to NE of Las Heras city (Santa Cruz) in Golfo San Jorge Basin (GSJB). In this oilfield an integrity well inventory reveals that 17% of wells are collapsed. No major reasons for collapsing were identified in...

The 2011–2012 eruption of the Puyehue-Cordón Caulle volcanic complex, southern Andes (Chile), was associated with complex surface deformation affecting an area of roughly 50 by 50 km. We report here differential SAR interferometry (DInSAR) results of pre-, co- and post-eruptive deformation from ENVISAT ASAR, COSMO-Skymed, and ALOS-2/PALSAR scenes a...

We propose a modification of the SBAS algorithm which allows recursively adding new scenes to an already computed time-series.

Glaciers are sensitive indicators of climate change. Particularly, glacier surface velocity constitutes a key parameter for estimating ice volume variations as response to global warming and its incidence in sea level rise. Several methodologies based in remotely sensed data have been employed for estimating ice velocity fields. They are mostly bas...

Ground deformation is one of the main geophysical methods for volcano monitoring. Surface deformation patterns can provide important insights into the structure, plumbing system, and state of restless volcanoes. Copahue volcano is one of the most active eruptive centers in Argentina, and a major risk factor for the nearby towns of Caviahue and Copa...

We present a global database on the subaerial morphometry of composite volcanoes. Data was extracted from the 90-m resolution Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM). The 759 volcanoes included in the database are the composite (i.e., polygenetic) volcanoes listed in the Smithsonian Institution Global Volcanism Program...

Differential interferometry is a remote sensing technique that allows studying crustal deformation produced by several phenomena like earthquakes, landslides, land subsidence and volcanic eruptions. Advanced techniques, like small baseline subsets (SBAS), exploit series of images acquired by synthetic aperture radar (SAR) sensors during a given tim...

Main aim of this work is to explore the suitability of high resolution SAR images for measuring ice flow velocity within glaciers. Available techniques for this purpose are Differential SAR Interferometry (DInSAR) and Offset Tracking. The former, although theoretically much more precise, is frequently limited by coherence loss (or lacking of cohere...

We present an algorithm aimed at correcting satellite orbit information for the generation of differential SAR interfer- ometry (DInSAR) deformation time-series. Our approach exploits small baseline differential interferograms, to preserve their spatial coherence, and is directly compatible with the Small BAseline Subset (SBAS) DInSAR technique. In...

We present an efficient space-time phase unwrapping (PhU) algorithm that allows us to process sequences of multitemporal full resolution differential synthetic aperture radar (SAR) interferograms for the generation of deformation time-series. The core of the proposed technique, dealing with sparse data grids, is represented by the extended minimum...

In this letter, we investigate the potential of the small baseline subset (SBAS) differential synthetic aperture radar interferometry (DInSAR) technique to produce consistent deformation time series by using data sets of SAR images with high Doppler centroid (DC) frequencies. To cope with this issue properly, we exploited an archive of SAR scenes a...

We extend the Small BAseline Subset (SBAS) algorithm to generate deformation time-series from SAR data acquired by the Canadian Space Agency (CSA) RADARSAT-1 sensor. The proposed approach is mostly oriented to the investigation of large scale deformation events with relatively low spatial resolutions (of about 100 × 100 m), and is based on the use...

Resumen Se estudia la relación entre deformación de la corteza terrestre, variación de niveles estáticos y operación del Dique Potrerillos. El área de estudio comprende la cuenca baja del Río Mendoza, entre Potrerillos y Corralitos. El objetivo principal es explicar la existencia de patrones de deformación cortical alineados con el cauce del Río Me...

We have extended the deformation time-series generation capability of the small baseline subset (SBAS) DInSAR algorithm to the SAR data collected by the RADARSAT-1 sensor. The selected SBAS algorithm relies on conventional multi-look interferograms characterized by small temporal and spatial baseline values. We present in this work the first result...

CRUSTAL DEFORMATION SURVEILLANCE USING SAR DATA: POTENTIAL APPLICATION IN THE PETROLEUM INDUSTRY This work addresses the topic of crustal deformation surveillance in oilfields and gasfields. These kind of phenomena are well-known as subsidence an uplift. Them can be a consequence of oilfield operation, i.e., injection/extraction rates, but also can...

The city of Mendoza is located in the west-central region of Argentina. Previous works, carried out by using ERS SAR data and GPS, reported active crustal deformation near the city [1, 2]. However, lack of useful SAR data makes previous InSAR results ambiguous for quantitative evaluation of the detected displacements. Recent acquisition of an ENVIS...

RESUMEN: en el presente trabajo se presentan los resultados del procesamiento interferométrico diferencial de 18 imágenes SAR adquiridas por el satélite ENVISAT, sobre un área centrada en la ciudad de Mendoza. Se utiliza la técnica denominada Small Baseline Subsets para obtener series temporales de deformación de un período que va desde enero de 20...

We analyze continuous and survey GPS and InSAR data from the south-central Andean thrust front in Mendoza, Argentina and focus on the Barrancas anticline, a blind thrust-related fold with evidence for Quaternary folding. In 2001 we installed a 43 station network in a ~50 km radius centered on the anticline in response to our regional analysis which...

With two major population centers totaling 1.5 million in population (Mendoza and San Juan cities) and a history of destructive earthquakes ranging from M6-7 in the past century, West-Central Argentina's Precordillera region has some of the highest seismic risks in South America. Ongoing continuous and survey GPS studies show that the region accomo...

In this work, we propose a methodology to integrate two or more interferometric DEMs. The key point is using images acquired under different conditions, i.e. different dates (useful for areas susceptible of floods) or different acquisition geometry (for mountainous areas). The algorithm takes the coregistered coherence maps of the original DEMs and...

Resumen. El desarrollo de nuevas tecnologías de procesamiento de información de sensores remotos, tales como imágenes de radar, han permitido el desarrollo de nuevas aplicaciones como la construcción de Modelos Digitales de Elevación (MDE). Esto sumado a los Sistemas de Información Geográficos (SIG) han permitido obtener representaciones no sólo to...