C. Aliano, Giovanni Martinelli, C. Filizzola, N. Pergola, N. Genzano, V. Tramutoli
{"title":"Robust Satellite Techniques for monitoring TIR anomalies in seismogenic areas","authors":"C. Aliano, Giovanni Martinelli, C. Filizzola, N. Pergola, N. Genzano, V. Tramutoli","doi":"10.1109/USEREST.2008.4740365","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740365","url":null,"abstract":"Based on Thermal Infrared (TIR) satellite observations, previous studies have been suggesting for decades a relation between TIR anomalies and seismic activity. Among the others, a Robust Satellite data analysis Technique (RST) was proposed which provides a statistically based definition of ?TIR anomalies? and a suitable method for their identification even in very different local (e.g. related to atmosphere and/or surface) and observational (e.g. related to time/season, but also to solar and satellite zenithal angles) conditions. The possible applications of RST to satellite TIR surveys in seismically active regions was already tested in the case of tens of earthquakes occurred in four different continents. Among proposed genetic models, the increase of green-house gas (such as CO2, CH4, etc.) emission rates has been also suggested to explain the appearance of such anomalous TIR signal transients in some relation with the place and time of earthquake occurrence. The results so far achieved by applying the RST approach to seismic areas characterized by strong degassing did not contradict this hypothesis. In this work long term Meteosat-TIR images have been analyzed, according to RST procedure, in order to demonstrate how an enhanced greenhouse gas emission can not be excluded among the main causes of TIR anomalies appearance close to the time/location of earthquake occurrence. Boumerdes earthquake (Algeria, Mb ~ 6.8, 21st May 2003) and mud volcano eruptions in Azerbaijan have been considered in order to investigate TIR anomalies behaviour in presence of prevailing CH4 emissions. The comparison with results achieved in areas with prevailing CO2 emissions stress an actual dependence of space-time signature of observed TIR anomalies on the prevailing green-house gas emission: for CO2 dominated area, thermal anomalies generally respond to morphological lineaments (i.e. tectonic faults), as it is expected for diffusing gases heavier than air. The opposite, with not so well-marked overlapping, happens in the CH4 dominated areas as it is expected for diffusing gases lighter than air.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123243087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Buongiorno, M. Musacchio, S. Vignoli, S. Zoffoli, A. Amodio, C. Cardaci, S. Pugnaghi, S. Teggi, Eugenio Sansosti, G. Puglisi, S. Borgstrom
{"title":"Volcanic risk system (SRV): ASI pilot project to support the monitoring of volcanic risk in Italy by means of EO data","authors":"M. Buongiorno, M. Musacchio, S. Vignoli, S. Zoffoli, A. Amodio, C. Cardaci, S. Pugnaghi, S. Teggi, Eugenio Sansosti, G. Puglisi, S. Borgstrom","doi":"10.1109/USEREST.2008.4740367","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740367","url":null,"abstract":"The ASI-SRV(Sistema Rischio Vulcanico) project started at the beginning of the 2007 is funded by the Italian Space Agency (ASI) in the frame of the National Space Plan 2003-2005 under the Earth Observations section for natural risks management. Coordinated by the Istituto Nazionale di Geofisica e Vulcanologia (INGV), which is responsible at national level for the volcanic monitoring, the project has as main objective to develop a pre-operative system based on EO data and ground measurements integration to support the volcanic risk monitoring of the Italian Civil Protection Department. The project philosophy is to implement specific modules which allow to process, store and visualize through Web GIS tools EO derived parameters considering three activity phases: (1) knowledge and prevention; (2) crisis; (3) post crisis. In order to combine effectively the EO data and the ground networks measurements the system will implement a multi-parametric analysis tool, which represents and unique tool to analyze contemporaneously a large data set of data in ¿near real time¿. The SRV project will be tested his operational capabilities on three Italian volcanoes: Etna, Vesuvio and Campi Flegrei.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124659707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Puglisi, F. Guglielmino, A. Bonforte, G. Nunnari, A. Spata
{"title":"Definition of the deformation pattern of Sicily (Italy) through DInSAR techniques and studies on its integration with geodetic data","authors":"G. Puglisi, F. Guglielmino, A. Bonforte, G. Nunnari, A. Spata","doi":"10.1109/USEREST.2008.4740353","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740353","url":null,"abstract":"A complete study of the deformation pattern of Sicily is planned, in the framework of the project ¿Extension and enhancement of the volcanic and seismic monitoring systems of Sicily¿, according the agreement among the National Department of Civil Defense (DPC), Sicilian regional government and National Institute of Geophysics and Volcanology (INGV). In this study, it is also planned a research aimed at implementing a new technique to integrate GPS vector displacements and DInSAR Interferograms.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134473201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Marchese, R. Corrado, N. Genzano, G. Mazzeo, R. Paciello, N. Pergola, V. Tramutoli
{"title":"Assessment of the Robust Satellite Technique (RST) for volcanic ash plume identification and tracking","authors":"F. Marchese, R. Corrado, N. Genzano, G. Mazzeo, R. Paciello, N. Pergola, V. Tramutoli","doi":"10.1109/USEREST.2008.4740338","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740338","url":null,"abstract":"Volcanic clouds pose a serious threat for both aircrafts and passengers because of ash, which may cause serious damages to the flight control systems and to jet engines. Starting from 2007, an automatic satellite monitoring system has been implemented at IMAA (Institute of Methodologies of Environmental Analysis) to identify and track volcanic ash plumes using NOAA-AVHRR data. This system is capable of providing reliable information about possible volcanic ash plumes over a region of interest (ROI) within a few minute after the sensing time, thanks to the implementation of a robust multi-temporal approach of satellite data analysis named RST (Robust Satellite Technique). This approach has already shown a high potential in successfully identifying and tracking volcanic ash clouds compared to traditional techniques, both in its standard (i.e. two-channel) and advanced (i.e. three-channel) configuration. In this paper, RST performances for ash plume detection and monitoring will be further assessed, showing some recent results obtained during December 2006 and analyzing a time series of satellite observations carried out over Mount Etna area for different months in different observational conditions. In order to validate and assess RST performances, a long-term time domain analysis is in progress, also investigating periods mainly characterised by quiescent phases (i.e. with no ash emission episodes). Preliminary results of such a statistical analysis will be presented and the possible contribution of this satellite monitoring system in supporting management of strong eruptive crisis will also be discussed.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132440947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Rix, P. Valks, N. Hao, T. Erbertseder, J. van Geffen
{"title":"Monitoring of volcanic SO2 emissions using the GOME-2 satellite instrument","authors":"M. Rix, P. Valks, N. Hao, T. Erbertseder, J. van Geffen","doi":"10.1109/USEREST.2008.4740330","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740330","url":null,"abstract":"Atmospheric sulfur dioxide is an important indicator of volcanic activity. Space based atmospheric sensors like GOME-2 on MetOp and OMI on EOS-Aura make it possible to detect the emissions of volcanic SO2 and monitor volcanic activity and eruptions on a global scale. With GOME-2, it is possible to detect and track volcanic eruption plumes and SO2 from passive degassing in near-real time (NRT). This is particularly important for early warning services, as increases in SO2 fluxes are an indicator for new episodes of volcanic unrest. The SO2 daily measurements from space are used for several early warning services related volcanic risk (Exupery, GlobVolcano) and for aviation warning purposes (GSE-PROMOTE).","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122265721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Corradini, L. Merucci, M. Silvestri, M. Musacchio, C. Spinetti, A. Piscini, M. Buongiorno, A. Prata
{"title":"SO2 and ash plume retrievals using MSG-SEVIRI measurements. Test case: 24 November 2006 Mt. Etna eruption","authors":"S. Corradini, L. Merucci, M. Silvestri, M. Musacchio, C. Spinetti, A. Piscini, M. Buongiorno, A. Prata","doi":"10.1109/USEREST.2008.4740360","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740360","url":null,"abstract":"In this work the Thermal InfraRed (TIR) measurements of the Spin Enhanced Visible and Infrared Imager (SEVIRI)on board the Meteosat Second Generation (MSG) geosyncronous satellite, have been used to estimate the daily evolution of the SO2 columnar abundance and ash plume optical thickness, particle effective radius and total mass of Mt. Etna volcanic plume. As test case the 24 November 2006 eruption has been considered. SEVIRI is an optical imaging radiometer characterized by 12 spectral channels, a high temporal resolution (one image every 15 minutes) and a 9 km2 footprint. The instrument¿s spectral range includes the 8.7 ¿m band (channel 7) and the 10.8 and 12.0 ¿m split window bands (channels 9 and 10) used respectively for SO2 retrieval and volcanic ash detection and retrievals. The SO2 columnar abundance is estimated by means of a Look-Up Table (LUT) least squares fit procedure applied to channel 7, while the ash detection and retrievals are carried out by using the Brightness Temperature Difference algorithm applied to channels 9 and 10. All the simulations needed for the retrievals have been realized using MODTRAN 4 radiative transfer model. The SEVIRI volcanic plume SO2 and ash retrievals have been compared with the results obtained by processing the data collected at 12:20 GMT by the MODIS sensor on board of Aqua satellite. Results show the ability of SEVIRI to recognize and estimate the daily trend of SO2 and ash in an eruptive plume; for the 24 November 2006 eruption, the SO2 and ash emissions started at about 4 and 8 GMT respectively and terminated simultaneously at about 14 GMT. The comparison between SEVIRI and MODIS retrievals indicate a general good agreement.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116987009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Antonello, J. Fortuny, D. Tarchi, N. Casagli, C. Del Ventisette, L. Guerri, G. Luzi, F. Mugnai, D. Leva
{"title":"Microwave interferometric sensors as a tool for space and time analysis of active volcano deformations: The Stromboli case","authors":"G. Antonello, J. Fortuny, D. Tarchi, N. Casagli, C. Del Ventisette, L. Guerri, G. Luzi, F. Mugnai, D. Leva","doi":"10.1109/USEREST.2008.4740332","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740332","url":null,"abstract":"A Ground Based SAR Interferometer (GB-InSAR) was installed at Stromboli volcano (Italy) in February 2003 to continuously monitor the behaviour of the morphological depression known as Sciara del Fuoco, SdF, with alerting purposes. This was decided as a consequence of the collapse of a large landslide from the NW slope of the SdF and the subsequent tsunami occurred on December 2002. The GB-In SAR system, working at Ku band, was set up on the stable right flank of the SdF; it has been continuously working and during this last five years has permitted to follow the temporal and spatial evolution of the mass movement in the SdF and the crater. Interferometric maps have permitted to assess the deformation field over a large portion of the target area and to characterize different processes. The system allowed to observe in particular two main events occurred on 5 April 2003 (a major explosion) and on 27 February 2007 (beginning of the effusive phase) respectively. The potential of the use of DInSAR from satellite platforms working at C band to understand the dynamic of the whole volcano has been also investigated. Different images acquired from the ERS2, RADARSAT and ENVISAT satellites before and after the 2003 collapse of the landslide, and before and after the 2007 event, have been interferometrically processed as well. Notwithstanding the restricted number of available images, the ground deformation occurred on the island due to the volcanic activity has been obtained with spatial and temporal characteristics complementary to those ones provided by GB-InSAR.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124548604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Maerker, K. Seidenberger, T. Erbertseder, M. Rix, P. Valks, J. van Geffen
{"title":"Trajectory matching and dispersion modeling of volcanic plumes utilising space-based observations","authors":"C. Maerker, K. Seidenberger, T. Erbertseder, M. Rix, P. Valks, J. van Geffen","doi":"10.1109/USEREST.2008.4740343","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740343","url":null,"abstract":"Within the projects SACS (Support to Aviation Control Service) and Exupery (the mobile volcano fast response system, VFRS) SO2 total columns are retrieved from different space-borne instruments such as GOME-2, SCIAMACHY and OMI. The backward trajectory matching technique is applied to relate exceptional SO2 values to particular sources and volcanic regions. Additionally, the moment of the eruption as well as the emission and the plume height can be estimated. Dispersion modeling is applied to forecast the motion of the plume and to estimate the SO2 emissions.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120897585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Ferretti, M. Bianchi, F. Novali, A. Tamburini, A. Rucci
{"title":"Volcanic Deformation Mapping using PSInSARTM: Piton de la Fournaise, Stromboli and Vulcano test sites for the Globvolcano project","authors":"A. Ferretti, M. Bianchi, F. Novali, A. Tamburini, A. Rucci","doi":"10.1109/USEREST.2008.4740340","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740340","url":null,"abstract":"This presentation focuses on the results of the application of the Permanent Scatterers Technique (PSInSAR¿, an advanced InSAR technique capable of measuring millimetre scale displacements of individual radar targets on the ground) as a method for measuring deformation in volcanic area within the Globvolcano project. In this project, T.R.E. takes part as a service provider for the Deformation Mapping products. Three cases of PSInSAR¿ application are presented: Piton de la Fournaise (Reunion Island), Stromboli and Volcano (Eolie, Italy). More than 200 ENVISAT ASAR scenes have been processed to estimate the velocity field of the volcanoes surface, as a consequence of the magmatic camera evolution; time series of displacement have been extracted and, whenever possible, ascending and descending geometry dataset have been jointly exploited in order to produce vertical and easting displacement maps. The test cases presented will give the opportunity to describe the enhancement applied to the PSInSAR¿ processing chain, required to make the algorithm capable to cope with the complex volcanic deformation dynamics (abrupt changes, non-linear motion) and to allow their representation through a web interface for a quick browsing of the results provided to the users.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131956053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integration of thermal anomaly monitoring into a mobile volcano fast response system","authors":"K. Zakšek, M. Hort","doi":"10.1109/USEREST.2008.4740344","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740344","url":null,"abstract":"Chances of successfully forecasting volcanic eruptions are critically dependent on a careful monitoring strategy. A mobile volcano fast responses system (Exupery) is currently under development by a larger group of scientist in Germany. In addition to commonly monitored parameters this system attempts to directly include satellite based observations into the monitoring strategy of the mobile system. Among the remote sensing retrievals are thermal anomaly temperature and area that often contain a large error. Thus a new strategy of supplying thermal anomaly characteristics into the GIS database is being developed. Radiant flux computed from temperature and area of the thermal anomaly was chosen as the best estimator of the thermal activity. Trying to relax inter-channel co-registration and reducing the effect of the point spread function, the whole thermal anomaly is now not characterized single pixel-wise but as a cluster. In order to reduce the noise in the measurements and to improve the temporal resolution of the data, AVHRR and MODIS data are used simultaneously. The procedure has been so far tested in the case study of Etna volcano.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131153630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}