Thematic information extraction from remote sensing images is a complex task. In this demonstration, we present *Miner machine learning system. In particular, we demonstrate an advanced subclass recognition algorithm that is specifically designed to extract finer classes from aggregate classes.
{"title":"A machine learning system for recognizing subclasses","authors":"Ranga Raju Vatsavai","doi":"10.1145/2345316.2345354","DOIUrl":"https://doi.org/10.1145/2345316.2345354","url":null,"abstract":"Thematic information extraction from remote sensing images is a complex task. In this demonstration, we present *Miner machine learning system. In particular, we demonstrate an advanced subclass recognition algorithm that is specifically designed to extract finer classes from aggregate classes.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131896436","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}
This paper describes how Bechtel maintains metadata for both spatial data and GIS map figures, and how revision histories of each are tracked in an enterprise-level Oracle Spatial database via a set of customized GIS metadata management tools. First of all, Bechtel has adopted a standardized data model called Spatial Data Standard for Facilities, Infrastructure, and Environment (SDSFIE) and has developed standard workflows and procedures around it for data cataloging, processing, and deployment in an enterprise Oracle Spatial geodatabase environment. Secondly, Bechtel has adopted the concept of feature level metadata, i.e., each feature or geometry also carries metadata. Thirdly, Bechtel keeps up-to-date the relationship between map figures and spatial data. Lastly, Bechtel has developed a set of GIS automation tools for metadata management, making otherwise a very time consuming process totally manageable. The capability of keeping track of revision history for both spatial data and map figures enables Bechtel to rapidly and accurately respond to requests for information from the clients regarding changes of spatial data and map figures, resulting in quick turnaround and significant cost savings.
{"title":"Metadata management and revision history tracking for spatial data and GIS map figures","authors":"Yongmin Yan, Tracy McLane","doi":"10.1145/2345316.2345357","DOIUrl":"https://doi.org/10.1145/2345316.2345357","url":null,"abstract":"This paper describes how Bechtel maintains metadata for both spatial data and GIS map figures, and how revision histories of each are tracked in an enterprise-level Oracle Spatial database via a set of customized GIS metadata management tools. First of all, Bechtel has adopted a standardized data model called Spatial Data Standard for Facilities, Infrastructure, and Environment (SDSFIE) and has developed standard workflows and procedures around it for data cataloging, processing, and deployment in an enterprise Oracle Spatial geodatabase environment. Secondly, Bechtel has adopted the concept of feature level metadata, i.e., each feature or geometry also carries metadata. Thirdly, Bechtel keeps up-to-date the relationship between map figures and spatial data. Lastly, Bechtel has developed a set of GIS automation tools for metadata management, making otherwise a very time consuming process totally manageable. The capability of keeping track of revision history for both spatial data and map figures enables Bechtel to rapidly and accurately respond to requests for information from the clients regarding changes of spatial data and map figures, resulting in quick turnaround and significant cost savings.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123721211","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}
Since 2000 CONABIO has processed and published in near real time geospatial information of occurring wild fires in Mexico and Central America as part of the " Hotspot detection with remote sensing techniques" program. Currently the Fire Alert System receives via direct-broadcast raw data from MODIS (Aqua and Terra platforms) and VIIRS (NPP). This raw data is processed to L1A, L1B, MOD14, MOD13 and MOD11 products (at the moment we only process VIIRS to L1B). MOD14 gives us a Fire-Mask raster that has the coordinates of the thermal anomalies called hotspots (Giglio, 2003). Each hotspot represents a 1 Km squared polygon that, with nearly 0.9 probability, has a uniformly distributed fire. The system automatically publishes information of county level locality name, area slope, ecosystem type and closeness to the nearest "Natural Protected Area". The system also has a WMS service provided by GeoServer that stores thematic map layers of Fire Propagation Index, a NDVI time-series analysis model that measures vegetation anomalies, and Moisture Percentage Map, based on dead vegetation fuel and rainfall duration raster products. Every 24 hrs we process a mean of 6 satellite passes during day and night. Over time, the amount of data has surpass the original capacity of the system. Although the first generation software has been upgraded to accomplish the needs of users, specially fire fighters, researches and decision-making people, the urgent need of a platform capable of forecasting, performing complex analysis and integrating it with next generation data sources has turned the use and administration of the old system an awkward task. A next-generation system is being developed at the moment and the release date is expected by the end of this year. The system lies on a Postgres9.1-Postgis2.0 with raster support engine that decreases dramatically the processing time. The design of a software based on a spatially-enable database has opened a new world of opportunities. This system will be based purely on Open Source Software. Fire Alert System homepage: http://www.conabio.gob.mx/incendios/
{"title":"National fire alert and monitoring system","authors":"Juan M. Escamilla Mólgora","doi":"10.1145/2345316.2345365","DOIUrl":"https://doi.org/10.1145/2345316.2345365","url":null,"abstract":"Since 2000 CONABIO has processed and published in near real time geospatial information of occurring wild fires in Mexico and Central America as part of the \" Hotspot detection with remote sensing techniques\" program.\u0000 Currently the Fire Alert System receives via direct-broadcast raw data from MODIS (Aqua and Terra platforms) and VIIRS (NPP). This raw data is processed to L1A, L1B, MOD14, MOD13 and MOD11 products (at the moment we only process VIIRS to L1B). MOD14 gives us a Fire-Mask raster that has the coordinates of the thermal anomalies called hotspots (Giglio, 2003). Each hotspot represents a 1 Km squared polygon that, with nearly 0.9 probability, has a uniformly distributed fire. The system automatically publishes information of county level locality name, area slope, ecosystem type and closeness to the nearest \"Natural Protected Area\". The system also has a WMS service provided by GeoServer that stores thematic map layers of Fire Propagation Index, a NDVI time-series analysis model that measures vegetation anomalies, and Moisture Percentage Map, based on dead vegetation fuel and rainfall duration raster products.\u0000 Every 24 hrs we process a mean of 6 satellite passes during day and night. Over time, the amount of data has surpass the original capacity of the system. Although the first generation software has been upgraded to accomplish the needs of users, specially fire fighters, researches and decision-making people, the urgent need of a platform capable of forecasting, performing complex analysis and integrating it with next generation data sources has turned the use and administration of the old system an awkward task.\u0000 A next-generation system is being developed at the moment and the release date is expected by the end of this year.\u0000 The system lies on a Postgres9.1-Postgis2.0 with raster support engine that decreases dramatically the processing time.\u0000 The design of a software based on a spatially-enable database has opened a new world of opportunities. This system will be based purely on Open Source Software.\u0000 Fire Alert System homepage: http://www.conabio.gob.mx/incendios/","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127891059","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}
This study aims to investigate the relationship between socio-economic factors and crime, and to understand the underlying criteria of new police station locations decisions. Factor analysis, multiple criteria decision analysis and genetic algorithm methods have been used to define the relationship, to decide the number of necessary police stations in each county, and to locate these police stations respectively. This model is applied to state of Ohio. The results showed that nine counties out of eighty can be considered as high crime areas in state of Ohio and at least forty three new police stations should be established in these nine counties.
{"title":"Spatial analysis of Ohio police station locations using geographical information systems","authors":"Serdar Turedi","doi":"10.1145/2345316.2345344","DOIUrl":"https://doi.org/10.1145/2345316.2345344","url":null,"abstract":"This study aims to investigate the relationship between socio-economic factors and crime, and to understand the underlying criteria of new police station locations decisions. Factor analysis, multiple criteria decision analysis and genetic algorithm methods have been used to define the relationship, to decide the number of necessary police stations in each county, and to locate these police stations respectively. This model is applied to state of Ohio. The results showed that nine counties out of eighty can be considered as high crime areas in state of Ohio and at least forty three new police stations should be established in these nine counties.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"468 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125877808","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}
Bin Zhang, Xiaoling Xia, Xiaohu Huang, Mei Wang, Jiajin Le
Materialization is a key issue for query execution in column-oriented Data Warehouse Management System (DWMS) due to the fact that it has direct influence on the query efficiency. Focusing on the defects of traditional strategies Early Materialization and Late Materialization, this paper propose a new materialization strategy called VPMS (Value path Materialization Strategy) to solve those problem. First, VPMS define a new descriptor structure---pass block for the intermediate results during physical execution. For a given physical query tree, VPMS generates value path. Depending on the value path, the values of the column are saved in the value area of the pass block when needed by the upper nodes, otherwise, only save the location information. Finally, during the query execution, the physical sub-operation is specified according to the materialization path and the query object itself, which effectively reduces the unnecessary duplication of judgments. Experiments on benchmark dataset SSB demonstrate the overall effectiveness of our approach.
{"title":"Query optimization with value path materialization in column-stored DWMS","authors":"Bin Zhang, Xiaoling Xia, Xiaohu Huang, Mei Wang, Jiajin Le","doi":"10.1145/2345316.2345345","DOIUrl":"https://doi.org/10.1145/2345316.2345345","url":null,"abstract":"Materialization is a key issue for query execution in column-oriented Data Warehouse Management System (DWMS) due to the fact that it has direct influence on the query efficiency. Focusing on the defects of traditional strategies Early Materialization and Late Materialization, this paper propose a new materialization strategy called VPMS (Value path Materialization Strategy) to solve those problem. First, VPMS define a new descriptor structure---pass block for the intermediate results during physical execution. For a given physical query tree, VPMS generates value path. Depending on the value path, the values of the column are saved in the value area of the pass block when needed by the upper nodes, otherwise, only save the location information. Finally, during the query execution, the physical sub-operation is specified according to the materialization path and the query object itself, which effectively reduces the unnecessary duplication of judgments. Experiments on benchmark dataset SSB demonstrate the overall effectiveness of our approach.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121847194","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}
The purpose of MapMyTrip Android app is to provide fun and convenient tools for travelers to create their trip journal while on-the-go. This app will save the travelers a tremendous amount of time by utilizing the all-in-one capability of smart phone technology to instantly track their trips' destinations and link the destination to photo/video clips taken in real-time. The application offers a user-friendly interface, on-line/off-line mode, local storage, cloud storage, and it can be shared on social networks.
{"title":"MapMyTrip app for Android smart phone","authors":"Thu Nguyen","doi":"10.1145/2345316.2345358","DOIUrl":"https://doi.org/10.1145/2345316.2345358","url":null,"abstract":"The purpose of MapMyTrip Android app is to provide fun and convenient tools for travelers to create their trip journal while on-the-go. This app will save the travelers a tremendous amount of time by utilizing the all-in-one capability of smart phone technology to instantly track their trips' destinations and link the destination to photo/video clips taken in real-time. The application offers a user-friendly interface, on-line/off-line mode, local storage, cloud storage, and it can be shared on social networks.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122522885","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}
Businesses operating facilities with environmental focus dealing with waste, contamination, or pollution are legally required to detail their degree of compliance with environmental rules and regulations, and to report on their activities to the United States Environmental Protection Agency (EPA). Such activities include substances related to air pollution, land or water contamination, waste disposal, and toxic or radioactive materials. Due to the ongoing nature of reporting, the EPA established a repository where all reported data related to business activities can be found. EPA developed EnviroMapper, a search engine that can be used to map, for any given area, the facilities dealing with issues related to air, water, waste, land, toxics, and radiation. The interactive nature of the search is very convenient and makes it easy for the user to learn about business activities and get more information from filed reports. Furthermore, the system has several features including information on air emission, superfund sites, toxic release, hazardous waste, water dischargers, brownfields, and toxic substances. This is supplemented with an extensive searchable list of chemicals used in the activities of various industries such as agriculture, forestry, manufacturing, mining, transportation, communications, and electric, gas, and sanitary services. This elaborate system is designed to help researchers, planners, developers, and the public in general learn about environmentally-related activities in a given location. In addition, Geographic Information Systems (GIS) data can be downloaded and used to plot maps necessary for variety of purposes such as research studies, environmental impact assessment, public health, planning, and development. This presentation intends to use GIS data downloaded from the system for the city of Albany, the Capital of New York State, to illustrate how this data can be used as a research tool to study the factors that lead to the concentration of environmentally-related businesses in a specific area and their effect on the standard of living and quality of life in that area.
{"title":"Mapping environmental pollution, contamination, and waste in the United States","authors":"A. Ghaly","doi":"10.1145/2345316.2345363","DOIUrl":"https://doi.org/10.1145/2345316.2345363","url":null,"abstract":"Businesses operating facilities with environmental focus dealing with waste, contamination, or pollution are legally required to detail their degree of compliance with environmental rules and regulations, and to report on their activities to the United States Environmental Protection Agency (EPA). Such activities include substances related to air pollution, land or water contamination, waste disposal, and toxic or radioactive materials. Due to the ongoing nature of reporting, the EPA established a repository where all reported data related to business activities can be found. EPA developed EnviroMapper, a search engine that can be used to map, for any given area, the facilities dealing with issues related to air, water, waste, land, toxics, and radiation. The interactive nature of the search is very convenient and makes it easy for the user to learn about business activities and get more information from filed reports. Furthermore, the system has several features including information on air emission, superfund sites, toxic release, hazardous waste, water dischargers, brownfields, and toxic substances. This is supplemented with an extensive searchable list of chemicals used in the activities of various industries such as agriculture, forestry, manufacturing, mining, transportation, communications, and electric, gas, and sanitary services. This elaborate system is designed to help researchers, planners, developers, and the public in general learn about environmentally-related activities in a given location. In addition, Geographic Information Systems (GIS) data can be downloaded and used to plot maps necessary for variety of purposes such as research studies, environmental impact assessment, public health, planning, and development. This presentation intends to use GIS data downloaded from the system for the city of Albany, the Capital of New York State, to illustrate how this data can be used as a research tool to study the factors that lead to the concentration of environmentally-related businesses in a specific area and their effect on the standard of living and quality of life in that area.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123962291","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}
Skyhook provides location to more than 100 million mobile devices, generating over a quarter billion location requests daily. This provides us with a large set of radio artifacts logged with high accuracy both temporally and spatially. The signal information returned with each of these location requests allows us to extend, refine and self heal the Skyhook beacon database across thousands of urban areas worldwide. Beacon density may be measured and discretized to produce accurate representations of underlying real world features. Since Wi-Fi beacons have become ubiquitous in all major cities worldwide, mapping their distribution provides a dependable signal for delineating urban boundaries. In addition to defining general urban polygons, features such as lakes, parks and other signal-starved areas may be captured as isopleths derived from beacon density raster surfaces. This is especially useful in parts of the world where high quality polygonal data is scarce or non-existent. And because of the ubiquitous sampling method, areas of new development tend to self-register nearly instantly. Quality of feature extraction can be assessed and validated against aerial imagery as well as existing geospatial layers. We find that Skyhook's radio artifact-derived features generally provide superior positional accuracy to existing geospatial resources from both public sources and commercial vendors for determining urban boundaries as well as sub-urban features.
{"title":"Modeling urban extent and density using radio artifacts from cellular and WiFi beacons","authors":"Richard Sutton, K. Jones","doi":"10.1145/2345316.2345362","DOIUrl":"https://doi.org/10.1145/2345316.2345362","url":null,"abstract":"Skyhook provides location to more than 100 million mobile devices, generating over a quarter billion location requests daily. This provides us with a large set of radio artifacts logged with high accuracy both temporally and spatially. The signal information returned with each of these location requests allows us to extend, refine and self heal the Skyhook beacon database across thousands of urban areas worldwide.\u0000 Beacon density may be measured and discretized to produce accurate representations of underlying real world features. Since Wi-Fi beacons have become ubiquitous in all major cities worldwide, mapping their distribution provides a dependable signal for delineating urban boundaries. In addition to defining general urban polygons, features such as lakes, parks and other signal-starved areas may be captured as isopleths derived from beacon density raster surfaces. This is especially useful in parts of the world where high quality polygonal data is scarce or non-existent. And because of the ubiquitous sampling method, areas of new development tend to self-register nearly instantly.\u0000 Quality of feature extraction can be assessed and validated against aerial imagery as well as existing geospatial layers. We find that Skyhook's radio artifact-derived features generally provide superior positional accuracy to existing geospatial resources from both public sources and commercial vendors for determining urban boundaries as well as sub-urban features.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"653 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116094213","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}
When the White House National Science and Technology Council laid out a series of grand challenges for disaster reduction, the first was to provide hazard and disaster information where and when it is needed. Earth observation and monitoring capabilities are only as good as their ability to reach those in harm's way and inform those who must respond when disaster strikes. At the U. S. Geological Survey (USGS), our scientists work on many different natural hazards across the US and around the globe in close collaboration with federal, state and academic partners. We support monitoring networks, generate hazard assessments, and study the natural processes and societal factors that shape the risks we face from hazard events. The USGS has delegated federal responsibility to provide notifications and warnings for geologic hazards, including earthquakes, volcanic eruptions, and landslides. For a number of other hazards, USGS monitoring capabilities support the statutory responsibilities of our partners. Data from USGS national and global seismic networks are fed directly to the National Oceanic and Atmospheric Administration (NOAA) tsunami warning centers. USGS streamgages and storm-surge monitors support NOAA's flood and severe weather warnings, including those for hurricanes. The USGS maintains a network of 14 geomagnetic observatories around the US and its territories, which are used by NOAA and the U. S. Air Force to measure the intensity of geomagnetic storms caused by solar flares and other space weather. For earthquakes, the USGS Advanced National Seismic System generates situational awareness tools that include e-mail and text alerts to over 300,000 subscribers worldwide and the Prompt Assessment of Global Earthquakes for Response (PAGER) system's rapid estimates of fatalities and economic losses to help focus and prioritize response. Disaster information has increasingly become a two-way flow thanks to crowdsourcing and social media. The USGS actively engages with the public, who report on what they experienced through our Did You Feel It website. Tens of thousands of these reports come in after widely felt earthquakes, and that citizen science information is then used to augment instrumental data to refine impact estimates. For volcanoes, the USGS is modernizing and expanding its monitoring capabilities through the National Volcano Early Warning System. Common nationwide alerts and notifications characterize the threats to aviation and nearby communities due to unrest and eruptive activity at the 169 active U. S. volcanoes. For landslides, a prototype debris-flow warning system has been established in southern California in partnership with NOAA with plans to expand up the West Coast. USGS geospatial information supports response operations for wildfires and many other types of disasters. The web-based GeoMAC application provides fire managers and increasingly the public with current geospatial information on the status, location, and pro
当白宫国家科学技术委员会(National Science and Technology Council)为减少灾害提出一系列重大挑战时,第一个挑战是在需要的时间和地点提供危险和灾害信息。地球观测和监测能力的好坏取决于它们能够到达那些处于危险中的人,并在灾难发生时通知那些必须做出反应的人。在美国地质调查局(USGS),我们的科学家与联邦、州和学术合作伙伴密切合作,研究美国和全球许多不同的自然灾害。我们支持监测网络,生成灾害评估,并研究影响我们面临的灾害事件风险的自然过程和社会因素。美国地质勘探局委托联邦政府负责提供地质灾害的通知和警告,包括地震、火山爆发和山体滑坡。对于其他一些灾害,美国地质勘探局的监测能力支持我们合作伙伴的法定责任。来自美国地质勘探局国家和全球地震网络的数据直接传送给美国国家海洋和大气管理局(NOAA)海啸预警中心。美国地质调查局的河流和风暴潮监测仪支持美国国家海洋和大气管理局的洪水和恶劣天气预警,包括飓风预警。美国地质勘探局在美国及其领土上维护着一个由14个地磁观测站组成的网络,NOAA和美国空军利用这些观测站来测量由太阳耀斑和其他太空天气引起的地磁风暴的强度。对于地震,USGS先进的国家地震系统生成态势感知工具,包括向全球超过30万用户发送电子邮件和文本警报,以及全球地震响应快速评估(PAGER)系统对死亡和经济损失的快速估计,以帮助集中和优先响应。由于众包和社交媒体的出现,灾难信息日益成为双向流动。美国地质勘探局积极与公众接触,他们通过我们的“你感觉到了吗”网站报告了他们的经历。在广泛感觉到的地震之后,数以万计的这样的报告出现了,然后这些公民科学信息被用来增加仪器数据,以改进影响估计。对于火山,美国地质勘探局正在通过国家火山早期预警系统对其监测能力进行现代化改造和扩展。美国169座活火山的动荡和喷发活动对航空和附近社区造成了威胁,这是全国范围内常见的警报和通知。对于山体滑坡,与美国国家海洋和大气管理局合作在南加州建立了一个泥石流预警系统的原型,并计划将其扩展到西海岸。美国地质调查局的地理空间信息支持对野火和许多其他类型灾害的响应行动。基于web的GeoMAC应用程序为火灾管理人员和越来越多的公众提供有关火灾状态、位置和距离自然资源、财产和基础设施的当前地理空间信息。通过其灾害数据分发系统,美国地质勘探局协调卫星图像和权威地理空间信息的获取和提供,用于灾害准备、救援和救济行动、损害评估和重建工作。全球数百万人直接或通过我们的合作伙伴向USGS寻求快速、可靠的灾害信息。面对不断增长的期望,我们一直在寻找创新的方法,以便在正确的时间向正确的人提供正确的信息。
{"title":"Science in times of crisis: delivering situational awareness to emergency managers and the public when disaster strikes","authors":"D. Applegate","doi":"10.1145/2345316.2345319","DOIUrl":"https://doi.org/10.1145/2345316.2345319","url":null,"abstract":"When the White House National Science and Technology Council laid out a series of grand challenges for disaster reduction, the first was to provide hazard and disaster information where and when it is needed. Earth observation and monitoring capabilities are only as good as their ability to reach those in harm's way and inform those who must respond when disaster strikes. At the U. S. Geological Survey (USGS), our scientists work on many different natural hazards across the US and around the globe in close collaboration with federal, state and academic partners. We support monitoring networks, generate hazard assessments, and study the natural processes and societal factors that shape the risks we face from hazard events.\u0000 The USGS has delegated federal responsibility to provide notifications and warnings for geologic hazards, including earthquakes, volcanic eruptions, and landslides. For a number of other hazards, USGS monitoring capabilities support the statutory responsibilities of our partners. Data from USGS national and global seismic networks are fed directly to the National Oceanic and Atmospheric Administration (NOAA) tsunami warning centers. USGS streamgages and storm-surge monitors support NOAA's flood and severe weather warnings, including those for hurricanes. The USGS maintains a network of 14 geomagnetic observatories around the US and its territories, which are used by NOAA and the U. S. Air Force to measure the intensity of geomagnetic storms caused by solar flares and other space weather.\u0000 For earthquakes, the USGS Advanced National Seismic System generates situational awareness tools that include e-mail and text alerts to over 300,000 subscribers worldwide and the Prompt Assessment of Global Earthquakes for Response (PAGER) system's rapid estimates of fatalities and economic losses to help focus and prioritize response. Disaster information has increasingly become a two-way flow thanks to crowdsourcing and social media. The USGS actively engages with the public, who report on what they experienced through our Did You Feel It website. Tens of thousands of these reports come in after widely felt earthquakes, and that citizen science information is then used to augment instrumental data to refine impact estimates.\u0000 For volcanoes, the USGS is modernizing and expanding its monitoring capabilities through the National Volcano Early Warning System. Common nationwide alerts and notifications characterize the threats to aviation and nearby communities due to unrest and eruptive activity at the 169 active U. S. volcanoes. For landslides, a prototype debris-flow warning system has been established in southern California in partnership with NOAA with plans to expand up the West Coast.\u0000 USGS geospatial information supports response operations for wildfires and many other types of disasters. The web-based GeoMAC application provides fire managers and increasingly the public with current geospatial information on the status, location, and pro","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114057329","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}
J. P. Suárez, A. Trujillo, M. D. L. Calle, Diego D. Gómez-Deck, J. M. Santana
The present article introduces the Glob3 Mobile, an efficient virtual globe framework, testable and freely accessible from the web and providing a real 3D navigation experience with smooth flying. We discuss the software design and the native code implementation for the family of iOS and Android mobile devices. In addition, a novel web experience is facilitated by supporting the globe through a WebGL compliant browser. Glob3 mobile enjoys a user friendly API that allows for testing and scripting new features on the globe. The paper discusses the software design, the technical rollout options and provides a comparison with other similar existing solutions.
{"title":"An open source virtual globe framework for iOS, Android and WebGL compliant browser","authors":"J. P. Suárez, A. Trujillo, M. D. L. Calle, Diego D. Gómez-Deck, J. M. Santana","doi":"10.1145/2345316.2345342","DOIUrl":"https://doi.org/10.1145/2345316.2345342","url":null,"abstract":"The present article introduces the Glob3 Mobile, an efficient virtual globe framework, testable and freely accessible from the web and providing a real 3D navigation experience with smooth flying. We discuss the software design and the native code implementation for the family of iOS and Android mobile devices. In addition, a novel web experience is facilitated by supporting the globe through a WebGL compliant browser. Glob3 mobile enjoys a user friendly API that allows for testing and scripting new features on the globe. The paper discusses the software design, the technical rollout options and provides a comparison with other similar existing solutions.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126809769","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}