2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas最新文献

{"title":"ASI-SRV general purpose modules for the preprocessing of remote sensed optical data","authors":"M. Musacchio, F. Buongiorno, S. Teggi, S. Vignoli, S. Perelli, V. Santacesaria, A. Amodio, M. Gregnanin, G. De Marzi","doi":"10.1109/USEREST.2008.4740364","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740364","url":null,"abstract":"The Project called Sistema Rischio Vulcanico (SRV) 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. The SRV Project is coordinated by the Istituto Nazionale di Geofisica e Vulcanologia (INGV) which is responsible at national level for the volcanic monitoring. The project philosophy is to implement, by incremental versions, specific modules which allow to process, store and visualize through Web GIS tools This document presents the modules developed for the preprocessing of Earth Observation (EO) data. These modules concern the automatic calibration, georeferencing, mosaiking, atmospheric and topographic correction. These ¿general purpose¿(GP) module allow to publish the EO added value derived data by means of dedicated webGis interface.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"1 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":"129410942","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":"Surface deformation analysis of the Mauna Loa and Kīlauea volcanoes, Hawai‘i, based on InSAR displacement time series","authors":"F. Casu, G. Solaro, P. Tizzani, M. Poland, A. Miklius, Eugenio Sansosti, R. Lanari","doi":"10.1109/USEREST.2008.4740368","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740368","url":null,"abstract":"We investigate the deformation of Mauna Loa and Kilauea volcanoes, Hawai`i, by exploiting the advanced differential Synthetic Aperture Radar Interferometry (InSAR) technique referred to as the Small BAseline Subset (SBAS) algorithm. In particular, we present time series of line-of-sight (LOS) displacements derived from SAR data acquired by the ASAR instrument, on board the ENVISAT satellite, from the ascending (track 93) and descending (track 429) orbits between 2003 and 2008. For each coherent pixel of the radar images we compute time-dependent surface displacements as well as the average LOS deformation rate. Our results quantify, in space and time, the complex deformation of Mauna Loa and Kilauea volcanoes. The derived InSAR measurements are compared to continuous GPS data to asses the quality of the SBAS-InSAR products.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"155 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":"116526991","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":"Sensor Web operations: Rapid data acquisition and product generation during a volcanic crisis","authors":"A. Davies, Steve Ankuo Chien, D. Tran, J. Doubleday, S. Frye, D. Mandl, L. Ong","doi":"10.1109/USEREST.2008.4740333","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740333","url":null,"abstract":"The autonomous Model-based Volcano Sensor Web (MSW), based at JPL, proved its worth during a volcanic crisis at Nyamulagira, Democratic Republic of Congo, in 2006. The MSW facilitated the rapid acquisition of spacecraft data which allowed pinpointing the location of the volcanic vent. This was vital in predicting lava flow direction and extent. In 2007 a number of improvements have been made to the MSW. These include the deployment of in situ SO2 sensors on Kilauea volcano, HI, capable not only of triggering requests by the EO-1 spacecraft in the event of anomalous SO2 detection, but also of being triggered autonomously by an anomalous thermal detection from advanced data processing software onboard EO-1, and the conversion of the sensor web to using Open Geospatial Consortium Web Services. The Sensor Web is monitoring volcanoes around the world. A number of volcanic eruptions have been detected and monitored, including a carbonatite eruption at Oldoinyo Lengai, Tanzania, and the March 2008 summit eruption of Kilauea, Hawai¿i, that occurred in the Halema¿uma¿u caldera. Data and products were also obtained during the 2008 eruption of Etna, Sicily. These products were distributed to volcanologists in the UK and Italy.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"46 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":"116415673","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":"Ground-based radar remote sensing of explosive volcanic ash eruptions: Numerical models and quantitative applications","authors":"F. Marzano, S. Marchiotto, S. Barbieri, D. Schneider, C. Textor, G. Giuliani","doi":"10.1109/USEREST.2008.4740352","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740352","url":null,"abstract":"Microphysical and dynamical features of volcanic clouds, due to Plinian eruptions, can be quantitatively monitored by using ground-based microwave weather radars. In order to illustrate the potential of this microwave active remote sensing technique, the case study of the eruption of Augustine volcano in Alaska in January 2006 is described and analyzed. Volume data, acquired by a NEXRAD WSR-88D S-band ground-based weather radar, are processed to automatically classify and estimate eruptive cloud particles concentration. In this study we use the plume model ATHAM to investigate processes leading to particle aggregation in the eruption column. The interactions of hydrometeors and volcanic ash within the eruption column that lead to aggregate formation are simulated for the first time within a rising eruption column. A sensitivity analysis is carried out to evaluate the impact of aggregate particles on microwave radar reflectivity. The ash retrieval physical algorithm is based on the backscattering microphysical model of volcanic cloud particles, used within a Bayesian classification and optimal regression algorithm. The evolution of the Augustine eruption is discussed in terms of radar measurements and products, pointing out the unique features, the current limitations and future improvements of radar remote sensing of volcanic plumes.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"1 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":"128425503","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":"A decade of applying Differential SAR Interferometry on Mount Etna volcano: Analysis at different time and space scales","authors":"A. Bonforte, F. Guglielmino, G. Puglisi, M. Palano","doi":"10.1109/USEREST.2008.4740362","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740362","url":null,"abstract":"Through the last decade, the Differential SAR Interferometry (DInSAR) was more and more applied to measure ground deformation on Mt. Etna, allowing to investigate ground deformation pattern both at broad and local scales. In this paper a few significant results of the experiences carried out at the Remote Sensing Laboratory of the INGV, Section of Catania, are discussed. Many of them are relevant to the most recent eruptive events of this volcano.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"15 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":"131536128","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":"Gravity measurement from moving platform by Kalman Filter and position and velocity corrections for earth layer monitoring to earthquake and volcano activity survey","authors":"A. Almasi","doi":"10.1109/USEREST.2008.4740355","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740355","url":null,"abstract":"Gravity measurement responds to changes in subsurface density and characteristics and is a non-invasive and cost effective way to identify and characterize subsurface. Gravity measurement is an effective tool for earth layer monitoring to earthquake and volcano activity survey. It is particularly important for gravity observation from moving platforms, especially for remote and offshore areas by aircraft, boat, ship, submarine, vehicle, satellite, etc. The measurement is complicated by difficulty to discern gravity from platform accelerations, nonlinearity, drift and dynamic angular movement. Presented solution is second order Kalman Filter, a recursive estimator that is applied to highly nonlinear measurement problems. The filter optimally combines data of three-axis gyros, accelerometers and platform position and velocity signals to provide accurate attitude and gravity measurement. Extensive simulations verified accuracy and robustness of proposed method for measurement from different vehicles in various dynamic environments.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"2 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":"129500619","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":"Photogrammetric and LIDAR surveys on the Sciara del Fuoco to monitor the 2007 Stromboli eruption","authors":"C. Proietti, M. Coltelli, M. Marsella, A. Sonnessa, E. Bernardo","doi":"10.1109/USEREST.2008.4740348","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740348","url":null,"abstract":"Focused on the Stromboli Island, this research investigates whether airborne remote sensing systems, such as those based on digital photogrammetry and laser scanner sensors, can be adopted to monitor slope deformation and lava emplacement processes in active volcanic areas. Thanks to the capability of extracting accurate topographic data and working on flexible time schedule these methods can be used to constrain the regular and more frequent measurements derived from satellite observations. In this work we present an application dedicated to the monitoring of Stromboli volcanic edifice useful to obtain quantitative data on the geometry of deformation features and the displaced (failures and landslides) and emplaced (lava flows) volumes. In particular, we focused on the capability of extracting average effusion rates from volume measurements that can be used to validate or integrate satellite derived estimates are often affected by biases which are not easily detectable. Since 2001 a number of airborne remote sensing surveys, namely Digital Photogrammetry (DP) and Airborne Laser Scanning (ALS), were carried out on Stromboli volcano to obtain high resolution digital terrain models (DEM) and orthophotos characterized by sub-meter spatial resolution and time schedule suitable for monitoring the morphological evolution of the surface during the quiescent phases. During the last two effusive eruptions (2002-2003 and 2007) the surface modifications, suffered by the Sciara del Fuoco slope and by the crater area as a consequence of effusive activity, were quantified and controlled using the same methodologies. This work is mainly focused on the 2007 eruption but also accounts for analogies and differences with the 2002-2003 event being based on a multi-temporal quantitative analysis of the data collected from 2001 to 2007. The 2007 eruption involved the Sciara del Fuoco slope from the 27th February until the 2nd April: five flows produced a compound lava field including a lava delta on the shoreline and discharging most of the lava into the sea. The comparison of the 2007 DEMs with a pre-eruption surface (2006 LIDAR survey) allowed evaluating the total lava volume emplaced on the slope while two syn-eruption DEMs were used to calculate the average effusion rates through the eruption. Finally hypothesis on the lava discharge and slope instability mechanisms, which appear strongly connected, are formulated.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"34 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":"115943559","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":"ALOS emergency observations by JAXA for monitoring earthquakes and volcanic eruptions in 2008","authors":"Y. Miyagi, M. Shimada, T. Tadono, O. Isoguchi, M. Ohki","doi":"10.1109/USEREST.2008.4740357","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740357","url":null,"abstract":"In 2008, many disasters occurred in different places around the world. Remote sensing technique contributed significantly to observing and monitoring those disasters that occurred in remote locations. The ALOS satellite has observed the entire world using three sensors since its launch, thus providing important results soon after disasters strike. By comparing optical images or SAR amplitude images acquired before and after the disaster, we can identify surface changes associated with earthquakes or volcanic eruptions. Such information helps us evaluate risks of second disasters. InSAR observation detected crustal deformation associated with earthquakes, and the geodetic information helped us to understand fault mechanisms.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"34 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":"125034756","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":"Automated procedure for InSAR data inversion using Finite Element Method","authors":"G. Currenti, C. Del Negro, D. Scandura, C. A. Williams","doi":"10.1109/USEREST.2008.4740336","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740336","url":null,"abstract":"Source inversions performed using different kind of static deformation data, such as GPS displacements, DInSAR imagery, levelling and EDM measurements, suggest that slip on fault is usually not uniform and is better modeled as a distribution of dislocation sources. To this aim, we developed an automated procedure for geodetic data inversion to estimate slip distribution along the fault interfaces. Finite Element Models are used to compute synthetic Green¿s functions for static displacement. FEM-generated synthetic Green¿s functions are combined with inverse methods to estimate slip distributions that explain the observed ground deformation.","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":"126300227","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":"The use of archives for the long term monitoring of active volcanoes","authors":"D. Pieri, M. Buongiorno","doi":"10.1109/USEREST.2008.4740356","DOIUrl":"https://doi.org/10.1109/USEREST.2008.4740356","url":null,"abstract":"Changes in the activity modes of active volcanoes can occur as very short term run-ups in seconds to days before eruptions, or may manifest as systematic changes occurring over a years to decades or longer. Understanding how timescales relate to underlying physical processes is key. In this context, it is important to understand the limitations and potential utility of new large remote sensing data archives. These archives have particular relevance to operational detection of eruption precursors at the longer end of the timescale spectrum.","PeriodicalId":107318,"journal":{"name":"2008 Second Workshop on Use of Remote Sensing Techniques for Monitoring Volcanoes and Seismogenic Areas","volume":"1 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":"122660992","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}