Comision Nacional de Actividades Espaciales

Argentina

Comision Nacional de Actividades Espaciales

Argentina

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Roca J.L.,Comision Nacional de Actividades Espaciales | Roca J.L.,National University of La Matanza | Julia R.,National University of La Matanza | Serra A.,National University of La Matanza
CACIDI 2016 - Congreso Aergentino de Ciencias de la Informatica y Desarrollos de Investigacion | Year: 2016

This paper presents a probabilistic methodology applied to FPGAs (Field Programmable Gate Arrays) logical structures known as basic building blocks, namely: CLBs (Complex Logic Blocks), usually consisting of LUTs (Look-up Tables) and biestables (flip-flops), PSWs (Programmable Switch Matrixes), IOBs (Input-Output Blocks), SMRAs (Static Random Access Memories) and CBs (Connection blocks). The scope of this paper is to investigate and analyze the possibility of using this methodology in assessing the reliability of emerging structures that use FPGAs in electronic developments based on the evaluation models of logic circuits proposed by the author and extending these concepts at the system level. For this purpose the RELEX-Reliability Studio PTC software is used to model the system, moving the research and analysis to the plane of Fault Tree Analysis (FTA). © 2016 IEEE.


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 | Year: 2015

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.


Santos-Garcia A.,Central Florida Remote Sensing Laboratory | Jacob M.M.,Comision Nacional de Actividades Espaciales | Jones W.L.,Central Florida Remote Sensing Laboratory | Asher W.E.,University of Washington | And 3 more authors.
Journal of Geophysical Research C: Oceans | Year: 2014

The Aquarius/SAC-D mission has been providing Sea Surface Salinity (SSS), globally over the ocean, for almost 3 years. As a member of the AQ/SAC-D Cal/Val team, the Central Florida Remote Sensing Laboratory has analyzed these salinity retrievals in the presence of rain and has noted the strong correlation between the spatial patterns of reduced SSS and the spatial distribution of rainfall. It was determined that this is the result of a cause and effect relationship, as opposed to SSS measurement errors. Hence, it is important to understand these SSS changes due to seawater dilution by rain and the associated near-surface salinity stratification. This paper addresses the effects of rainfall on the Aquarius (AQ) SSS retrieval using a macro-scale Rain Impact Model (RIM) in the region of high convective rain over the Inter-tropical Convergence Zone. This model, based on the superposition of a one-dimension eddy diffusion (turbulent diffusion) model, relates sea surface salinity to depth, rain accumulation and time since rainfall. For aiding in the identification of instantaneous and prior rainfall accumulations, an AQ Rain Accumulation product was developed. This product, based on the NOAA CMORPH rain data set, provides the rainfall history for 24 h prior to the observation time, which is integrated over each AQ SSS measurement cell. In this paper results of the RIM validation are presented by comparing AQ measured and RIM simulated SSS for several months of 2012. Results show the high cross correlation for these comparisons and also with the corresponding SSS anomalies relative to HYCOM. © 2014. American Geophysical Union. All Rights Reserved.


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 | Year: 2016

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.


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 | Year: 2015

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.


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) | Year: 2015

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.


Andreo V.,Comision Nacional de Actividades Espaciales | Andreo V.,National University of Cordoba | Dogliotti A.I.,CONICET | Tauro C.,Comision Nacional de Actividades Espaciales | And 2 more authors.
International Geoscience and Remote Sensing Symposium (IGARSS) | Year: 2015

We studied the spatio-temporal variations of chlorophyll-a concentration and phytoplankton blooms in the continental shelf and shelf break of the Argentinean patagonic region by means of a time series of 11-years of MODIS/Aqua level 3 (L3) chlorophyll product. We aggregated data according to different granularities and estimated annual and monthly anomalies. We also studied the phenology of phytoplankton blooms determining bloom starting date and date of maximum concentration. Finally, we estimated and described statistical indexes such as minimum and maximum bloom areas, their occurrence date and bloom occurrence frequency. All the temporal processing of this raster dataset was done with the recently implemented temporal modules of GRASS GIS 7. This Free and Open Source Software provides the advantage of automating all (or most of) the processing, allowing the application of the same methodology to analyze satellite time series of different variables, like sea surface temperature. © 2015 IEEE.


Porcasi X.,Comision Nacional de Actividades Espaciales | Rotela C.H.,Comision Nacional de Actividades Espaciales | Introini M.V.,Comision Nacional de Actividades Espaciales | Frutos N.,Direccion de Enfermedades Transmisibles por Vectores | And 5 more authors.
Geospatial Health | Year: 2012

Based on an agreement between the Ministry of Health and the National Space Activities Commission in Argentina, an integrated informatics platform for dengue risk using geospatial technology for the surveillance and prediction of risk areas for dengue fever has been designed. The task was focused on developing stratification based on environmental (historical and current), viral, social and entomological situation for >3,000 cities as part of a system. The platform, developed with open-source software with pattern design, following the European Space Agency standards for space informatics, delivers two products: a national risk map consisting of point vectors for each city/town/locality and an approximate 50 m resolution urban risk map modelling the risk inside selected high-risk cities. The operative system, architecture and tools used in the development are described, including a detailed list of end users' requirements. Additionally, an algorithm based on bibliography and landscape epidemiology concepts is presented and discussed. The system, in operation since September 2011, is capable of continuously improving the algorithms producing improved risk stratifications without a complete set of inputs. The platform was specifically developed for surveillance of dengue fever as this disease has reemerged in Argentina but the aim is to widen the scope to include also other relevant vector-borne diseases such as chagas, malaria and leishmaniasis as well as other countries belonging to south region of Latin America.


Espinosa M.,Fundacion Mundo Sano | Weinberg D.,Fundacion Mundo Sano | Rotela C.H.,Comision Nacional de Actividades Espaciales | Polop F.,Fundacion Mundo Sano | And 2 more authors.
PLoS Neglected Tropical Diseases | Year: 2016

Background: Since 2009, Fundación Mundo Sano has implemented an Aedes aegypti Surveillance and Control Program in Tartagal city (Salta Province, Argentina). The purpose of this study was to analyze temporal dynamics of Ae. aegypti breeding sites spatial distribution, during five years of samplings, and the effect of control actions over vector population dynamics. Methodology/Principal Findings: Seasonal entomological (larval) samplings were conducted in 17,815 fixed sites in Tartagal urban area between 2009 and 2014. Based on information of breeding sites abundance, from satellite remote sensing data (RS), and by the use of Geographic Information Systems (GIS), spatial analysis (hotspots and cluster analysis) and predictive model (MaxEnt) were performed. Spatial analysis showed a distribution pattern with the highest breeding densities registered in city outskirts. The model indicated that 75% of Ae. aegypti distribution is explained by 3 variables: bare soil coverage percentage (44.9%), urbanization coverage percentage(13.5%) and water distribution (11.6%). Conclusions/Significance: This results have called attention to the way entomological field data and information from geospatial origin (RS/GIS) are used to infer scenarios which could then be applied in epidemiological surveillance programs and in the determination of dengue control strategies. Predictive maps development constructed with Ae. aegypti systematic spatiotemporal data, in Tartagal city, would allow public health workers to identify and target high-risk areas with appropriate and timely control measures. These tools could help decision-makers to improve health system responses and preventive measures related to vector control. © 2016 Espinosa et al.


PubMed | Comision Nacional de Actividades Espaciales
Type: Journal Article | Journal: Geospatial health | Year: 2012

Based on an agreement between the Ministry of Health and the National Space Activities Commission in Argentina, an integrated informatics platform for dengue risk using geospatial technology for the surveillance and prediction of risk areas for dengue fever has been designed. The task was focused on developing stratification based on environmental (historical and current), viral, social and entomological situation for >3,000 cities as part of a system. The platform, developed with open-source software with pattern design, following the European Space Agency standards for space informatics, delivers two products: a national risk map consisting of point vectors for each city/town/locality and an approximate 50 m resolution urban risk map modelling the risk inside selected high-risk cities. The operative system, architecture and tools used in the development are described, including a detailed list of end users requirements. Additionally, an algorithm based on bibliography and landscape epidemiology concepts is presented and discussed. The system, in operation since September 2011, is capable of continuously improving the algorithms producing improved risk stratifications without a complete set of inputs. The platform was specifically developed for surveillance of dengue fever as this disease has reemerged in Argentina but the aim is to widen the scope to include also other relevant vector-borne diseases such as chagas, malaria and leishmaniasis as well as other countries belonging to south region of Latin America.

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