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Cordoba G.,University of Narino | Villarosa G.,National University of Comahue | Sheridan M.F.,State University of New York at Buffalo | Viramonte J.G.,National University of Salta | And 2 more authors.
Natural Hazards and Earth System Sciences

This paper presents the results of lahar modelling in the town of Villa La Angostura (Neuquén-Argentina) based on the Two-Phase-Titan modelling computer code. The purpose of this exercise is to provide decision makers with a useful tool to assess lahar hazard during the 2011 Puyehue-Cordón Caulle Volcanic Complex eruption. The possible occurrence of lahars mobilized from recent ash falls that could reach the city was analysed. The performance of the Two-Phase-Titan model using 15 m resolution digital elevation models (DEMs) developed from optical satellite images and from radar satellite images was evaluated. The output of these modellings showed inconsistencies that, based on field observations, were attributed to bad adjustment of the DEMs to real topography. Further testing of results using more accurate radar-based 10 m DEM, provided more realistic predictions. This procedure allowed us to simulate the path of flows from Florencia, Las Piedritas and Colorado creeks, which are the most hazardous streams for debris flows in Villa La Angostura. The output of the modelling is a valuable tool for city planning and risk management especially considering the glacial geomorphic features of the region, the strong urban development growth and the land occupation that has occurred in the last decade in Villa La Angostura and its surroundings. © Author(s) 2015. Source

Munoz E.A.,Food and Agriculture Organization FAO | Di Paola F.,National Research Council Italy | Lanfri M.,Comision Nacional de Actividades Espaciales
IEEE Latin America Transactions

In the last two decades, great advances have been related with the development of rain rate retrieval algorithms using artificial neural networks, in order to exploit satellite data capabilities. The enhancement of computing processing capacity available from modern computers has impulsed a long number of researches aimed to generate more accurate and faster algorithms. This work deals with how the implementation of new trends in artificial neural networks and the spectral resolution improvement of spaceborne sensors have influenced in the design of retrieval algorithms to estimate rain rate from satellites using artificial neural networks. Recent results have shown an important increasing in accuracy and technical feasibility of implementation, however, the feasibility to use artificial neural networks to estimate rain rate in real time, using remote sensing techniques, is a research issue yet. © 2015 IEEE. Source

Santos-Garcia A.,University of Central Florida | Jacob M.M.,Comision Nacional de Actividades Espaciales | Jones W.L.,University of Central Florida
International Geoscience and Remote Sensing Symposium (IGARSS)

ESA's Soil Moisture Ocean Salinity (SMOS) Earth Explorer mission globally measures ocean salinity every three days with a Microwave Imaging Radiometer using the Aperture Synthesis (MIRAS) radiometer. Also 7-day global ocean salinity measurements are available from NASA's Aquarius (AQ) L-band push-broom radiometer on-board of Aquarius/SAC-D satellite. The Central Florida Remote Sensing Laboratory has analyzed AQ sea surface salinity (SSS) retrievals in the presence of rain and has developed a Rain Impact Model (RIM) that predicts transient near-surface salinity stratification based upon the corresponding rain accumulation over the previous 24 hours. The objective of this paper is to extend this analysis to SMOS and perform spatial correlations between SMOS salinity images with those predicted by RIM. The aim of this work is to better understand the processes of near-surface salinity stratification, which impacts the interpretation of satellite based SSS measurements to measure the ocean bulk salinity (5-10 m depth). © 2015 IEEE. Source

Munoz E.A.,Food and Agriculture Organization | Di Paola F.,National Research Council Italy | Lanfri M.,Comision Nacional de Actividades Espaciales | Arteaga F.J.,University of Carabobo
IEEE Latin America Transactions

Atmospheric remote sensing techniques have become popular in the field of meteorology due to both the generation of spectral information of the atmosphere and the cover of wide regions in short periods of time. In this work, some relevant features about the Advance Technology Microwave Sounder (ATMS) are highlighted, in order to establish some basic criterias for assimilation and use of passive microwave data into algorithms to retrieve rain rate from spaceborne. In addition, an intercomparison with the Advance Microwave Unit Sensor (AMSU) is presented. © 2016 IEEE. Source

Bogossian O.L.,Instituto Nacional Of Pesquisas Espacias | Loureiro G.,Instituto Nacional Of Pesquisas Espacias | Lopes R.V.F.,Instituto Nacional Of Pesquisas Espacias | Roggero E.,Comision Nacional de Actividades Espaciales
Journal of Aerospace Technology and Management

This paper aims to present the Comprehensiveness Balance for Efficiency (CBfE) method for Platform-Based Satellite Family. The lack of a penalty measurement to assess the performance loss of using a platform could reduce significantly the family performance. The method, taking into account the comprehensiveness of space missions and the platform characteristics defined at the conception phase, assesses the platform inefficiency, in terms of the additional mass required by the platform equipment to cope with the worst environment factors. The method covers the aerodynamic drag and torque, the Earth's magnetic field, the eclipse and Sun energy absorption, the cumulated radiation dose absorbed by the electronic components and the effect on the structure to be prepared for several launchers. Based on this assessment and on an interactive process, the platform designer tunes the comprehensiveness with the suitable level of efficiency. A real case, the Brazilian MultiMission Platform project (PMM), is presented as an example of application. The method covers an existing gap on the platform development process for space applications. Source

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