The aim of GED4GEM is to build a comprehensive, multi-scale and statistically accurate database of population and buildings, to asses the physical and economic exposure of a given area to earthquakes.
Global Soil Partnership, European Soil Partnership | Dr Allan Lilly, Chair, E...FAO
This document discusses the Global Soil Partnership and its goals of promoting sustainable soil management. It focuses on Pillar 4 of the partnership which aims to improve soil data and information through monitoring networks and collaborations. Specifically for Europe, it proposes that the European Soil Bureau Network take a lead role in coordinating regional soil data collection and mapping efforts. Key activities would include developing harmonized methodologies and databases to integrate national soil data and facilitate monitoring of soil conditions across Europe.
This document provides an overview of land use and soil-related activities in Sudan. It discusses the four main types of land use: irrigated agriculture, rainfed agriculture, grazing, and forestry. It also outlines Sudan's implementation of the five pillars of the NENA soil plan, including sustainable soil management, awareness raising, research, developing a soil information system, and strengthening soil description and analysis methods. Some of the main obstacles to soil activities in Sudan are issues with global connectivity needed for the soil information server, gaps in SUSIS staff capacity and legacy soil data, and difficulties conducting field work due to fuel shortages and rains.
This document provides background information on a training regarding the development of national soil organic carbon stock maps. It discusses the establishment of the Asian Soil Partnership in 2012 and its 5 pillars of action, with an emphasis on Pillar 4 involving soil data and information. Developing national soil organic carbon maps is important for reporting on sustainable development goals and understanding climate change. The training will focus on building countries' capacity to map soil organic carbon according to Global Soil Partnership specifications to contribute to the Global Soil Organic Carbon Map and the Global Soil Information System.
Global Soil Partnership, European Soil Partnership | Dr Allan Lilly, Chair, E...FAO
This document discusses the Global Soil Partnership and its goals of promoting sustainable soil management. It focuses on Pillar 4 of the partnership which aims to improve soil data and information through monitoring networks and collaborations. Specifically for Europe, it proposes that the European Soil Bureau Network take a lead role in coordinating regional soil data collection and mapping efforts. Key activities would include developing harmonized methodologies and databases to integrate national soil data and facilitate monitoring of soil conditions across Europe.
This document provides an overview of land use and soil-related activities in Sudan. It discusses the four main types of land use: irrigated agriculture, rainfed agriculture, grazing, and forestry. It also outlines Sudan's implementation of the five pillars of the NENA soil plan, including sustainable soil management, awareness raising, research, developing a soil information system, and strengthening soil description and analysis methods. Some of the main obstacles to soil activities in Sudan are issues with global connectivity needed for the soil information server, gaps in SUSIS staff capacity and legacy soil data, and difficulties conducting field work due to fuel shortages and rains.
This document provides background information on a training regarding the development of national soil organic carbon stock maps. It discusses the establishment of the Asian Soil Partnership in 2012 and its 5 pillars of action, with an emphasis on Pillar 4 involving soil data and information. Developing national soil organic carbon maps is important for reporting on sustainable development goals and understanding climate change. The training will focus on building countries' capacity to map soil organic carbon according to Global Soil Partnership specifications to contribute to the Global Soil Organic Carbon Map and the Global Soil Information System.
Global Soil Organic Carbon Map GSOC : develop a global SOC by 5th Dec 2017FAO
This presentation was presented during the second workshop of the International Network of Soil Information Institutions (INSII) that took place at FAO headquarters 24-25 november 2016. The presentation was made by Liesl Wiese from the GSP Secretariat
The document discusses projects between RCMRD, SERVIR, and NASA to develop land cover maps for countries in Eastern and Southern Africa to improve greenhouse gas inventories. The projects work with countries to collect ground reference data, develop land cover maps from Landsat satellite imagery using remote sensing, and provide training to build capacity for land cover mapping and greenhouse gas inventory development. Specific activities included classification scheme development workshops and hands-on training in Zambia, Rwanda, and Malawi.
The document discusses cooperation between various global organizations working on soil issues. It describes a capacity development program to introduce digital soil mapping concepts and techniques to soil scientists. It also mentions that the Global Soil Partnership is tasked with providing support on soil carbon issues and was approached by the UNCCD to share information and contribute to improving soil carbon knowledge. It discusses collaboration between the GSP and other intergovernmental bodies on conducting a global soil organic carbon assessment.
This presentation was presented during the Workshop on Soil Cabon Mapping of the Global Soil Partnership (GSP) that took place at FAO headquarters 23 November 2016. The presentation was made by Rainer Baritz, GSP Secretariat
Capacity development on Digital soil MappingExternalEvents
The document outlines an e-learning course on digital soil mapping (DSM). The 9-week course covers basic soil mapping principles, the evolution of DSM, input data collection and preprocessing, predictive modeling techniques, mapping soil properties, and accuracy assessment. Participants who successfully complete the course and final exam will receive a DSM certificate from FAO. The course aims to help participants understand and apply DSM approaches to produce and document soil maps.
TEAM 3: Improving Open Land Use Map by using Satellite Dataplan4all
This document discusses improving open land use maps using satellite imagery. It aims to develop an algorithm to regularly update open land use maps based on satellite imagery like Sentinel 2 data. Currently, large areas of Africa and other regions lack detailed land use data. The algorithm will use machine learning and convolutional neural networks trained on labeled samples from Sentinel 2 imagery and open land use maps to classify land use in new satellite images. The goals are to collect training samples from Sentinel 2 and OpenStreetMap data and train and validate an initial classification model.
Digital soil mapping uses statistical methods and environmental data to predict soil properties across continuous landscapes. It involves preparing soil data and predictor variables like climate, vegetation and remote sensing data. Predictor data is harmonized using techniques like principal components analysis. Soil data is also harmonized by estimating mean values at standard depth intervals. Regression models are selected to relate soil properties to predictors and create continuous prediction maps. Maps are validated and uncertainty is estimated using confidence intervals or bootstrapping. The process is implemented using the R programming language and specialized soil mapping packages.
Slides from a presentation by Benjamin Hennig at the ESRI International User Conference in San Diego, 15 July 2009. See more at http://www.viewsoftheworld.net/?p=654
As part of the GSP’s capacity development and improvement programme, FAO/GSP have organised a one week training in Izmir, Turkey. The main goal of the training was to increase the capacity of Turkey on digital soil mapping, new approaches on data collection, data processing and modelling of soil organic carbon. This 5 day training is titled ‘’Training on Digital Soil Organic Carbon Mapping’’ was held in IARTC - International Agricultural Research and Education Center in Menemen, Izmir on 20-25 August, 2017.
ITEM 7. Global SOC Sequestration Potential Map: Review of the Concept Paper a...FAO
This document discusses plans for creating a Global Soil Organic Carbon Sequestration Potential (GSOCseq) map. It will use a country-driven approach with capacity development workshops to generate national maps of attainable SOC stocks under recommended land management practices. A three-phase process is outlined: 1) Develop technical specifications; 2) Conduct capacity building; 3) Update information and compile the global GSOCseq map. Modeling approaches at different levels are proposed depending on data availability and skills. The goal is to empower countries to estimate their own SOC sequestration potential to inform policies and actions.
Geovisualisation of flows: New approaches to map an interdependent worldBenjamin Hennig
Postgraduate Presentation by Benjamin D Hennig at the Department of Geography, University of Sheffield, 26th May 2009 - more at http://www.viewsoftheworld.net/?p=2777
As part of the GSP’s capacity development and improvement programme, FAO/GSP have organised a one week training in Izmir, Turkey. The main goal of the training was to increase the capacity of Turkey on digital soil mapping, new approaches on data collection, data processing and modelling of soil organic carbon. This 5 day training is titled ‘’Training on Digital Soil Organic Carbon Mapping’’ was held in IARTC - International Agricultural Research and Education Center in Menemen, Izmir on 20-25 August, 2017.
Presentation by Benjamin David Hennig for the 46th Annual Meeting of the Society of Cartographers, Manchester/UK, 9th September 2010. Read more at http://www.viewsoftheworld.net/?p=832
The document discusses the U.S. Geological Survey's National Geospatial Program. It provides an overview of the program's goals, products and services which include topographic maps, elevation data, imagery and natural hazard response. The program aims to provide geospatial data and services that are used by a variety of sectors for applications such as infrastructure planning, natural resource management, and emergency response. It also discusses the program's partnerships with other organizations to acquire new geospatial data and engage users.
Overview of GEO activities to promote broad open Earth observations data and information, as well as insight into GEO engagement priorities and links to ISPRS.
Global Soil Organic Carbon Map GSOC : develop a global SOC by 5th Dec 2017FAO
This presentation was presented during the second workshop of the International Network of Soil Information Institutions (INSII) that took place at FAO headquarters 24-25 november 2016. The presentation was made by Liesl Wiese from the GSP Secretariat
The document discusses projects between RCMRD, SERVIR, and NASA to develop land cover maps for countries in Eastern and Southern Africa to improve greenhouse gas inventories. The projects work with countries to collect ground reference data, develop land cover maps from Landsat satellite imagery using remote sensing, and provide training to build capacity for land cover mapping and greenhouse gas inventory development. Specific activities included classification scheme development workshops and hands-on training in Zambia, Rwanda, and Malawi.
The document discusses cooperation between various global organizations working on soil issues. It describes a capacity development program to introduce digital soil mapping concepts and techniques to soil scientists. It also mentions that the Global Soil Partnership is tasked with providing support on soil carbon issues and was approached by the UNCCD to share information and contribute to improving soil carbon knowledge. It discusses collaboration between the GSP and other intergovernmental bodies on conducting a global soil organic carbon assessment.
This presentation was presented during the Workshop on Soil Cabon Mapping of the Global Soil Partnership (GSP) that took place at FAO headquarters 23 November 2016. The presentation was made by Rainer Baritz, GSP Secretariat
Capacity development on Digital soil MappingExternalEvents
The document outlines an e-learning course on digital soil mapping (DSM). The 9-week course covers basic soil mapping principles, the evolution of DSM, input data collection and preprocessing, predictive modeling techniques, mapping soil properties, and accuracy assessment. Participants who successfully complete the course and final exam will receive a DSM certificate from FAO. The course aims to help participants understand and apply DSM approaches to produce and document soil maps.
TEAM 3: Improving Open Land Use Map by using Satellite Dataplan4all
This document discusses improving open land use maps using satellite imagery. It aims to develop an algorithm to regularly update open land use maps based on satellite imagery like Sentinel 2 data. Currently, large areas of Africa and other regions lack detailed land use data. The algorithm will use machine learning and convolutional neural networks trained on labeled samples from Sentinel 2 imagery and open land use maps to classify land use in new satellite images. The goals are to collect training samples from Sentinel 2 and OpenStreetMap data and train and validate an initial classification model.
Digital soil mapping uses statistical methods and environmental data to predict soil properties across continuous landscapes. It involves preparing soil data and predictor variables like climate, vegetation and remote sensing data. Predictor data is harmonized using techniques like principal components analysis. Soil data is also harmonized by estimating mean values at standard depth intervals. Regression models are selected to relate soil properties to predictors and create continuous prediction maps. Maps are validated and uncertainty is estimated using confidence intervals or bootstrapping. The process is implemented using the R programming language and specialized soil mapping packages.
Slides from a presentation by Benjamin Hennig at the ESRI International User Conference in San Diego, 15 July 2009. See more at http://www.viewsoftheworld.net/?p=654
As part of the GSP’s capacity development and improvement programme, FAO/GSP have organised a one week training in Izmir, Turkey. The main goal of the training was to increase the capacity of Turkey on digital soil mapping, new approaches on data collection, data processing and modelling of soil organic carbon. This 5 day training is titled ‘’Training on Digital Soil Organic Carbon Mapping’’ was held in IARTC - International Agricultural Research and Education Center in Menemen, Izmir on 20-25 August, 2017.
ITEM 7. Global SOC Sequestration Potential Map: Review of the Concept Paper a...FAO
This document discusses plans for creating a Global Soil Organic Carbon Sequestration Potential (GSOCseq) map. It will use a country-driven approach with capacity development workshops to generate national maps of attainable SOC stocks under recommended land management practices. A three-phase process is outlined: 1) Develop technical specifications; 2) Conduct capacity building; 3) Update information and compile the global GSOCseq map. Modeling approaches at different levels are proposed depending on data availability and skills. The goal is to empower countries to estimate their own SOC sequestration potential to inform policies and actions.
Geovisualisation of flows: New approaches to map an interdependent worldBenjamin Hennig
Postgraduate Presentation by Benjamin D Hennig at the Department of Geography, University of Sheffield, 26th May 2009 - more at http://www.viewsoftheworld.net/?p=2777
As part of the GSP’s capacity development and improvement programme, FAO/GSP have organised a one week training in Izmir, Turkey. The main goal of the training was to increase the capacity of Turkey on digital soil mapping, new approaches on data collection, data processing and modelling of soil organic carbon. This 5 day training is titled ‘’Training on Digital Soil Organic Carbon Mapping’’ was held in IARTC - International Agricultural Research and Education Center in Menemen, Izmir on 20-25 August, 2017.
Presentation by Benjamin David Hennig for the 46th Annual Meeting of the Society of Cartographers, Manchester/UK, 9th September 2010. Read more at http://www.viewsoftheworld.net/?p=832
The document discusses the U.S. Geological Survey's National Geospatial Program. It provides an overview of the program's goals, products and services which include topographic maps, elevation data, imagery and natural hazard response. The program aims to provide geospatial data and services that are used by a variety of sectors for applications such as infrastructure planning, natural resource management, and emergency response. It also discusses the program's partnerships with other organizations to acquire new geospatial data and engage users.
Overview of GEO activities to promote broad open Earth observations data and information, as well as insight into GEO engagement priorities and links to ISPRS.
GlobalSoilMap.net and the new Global Soil Information System by Neil McKenzieFAO
The document discusses the GlobalSoilMap.net initiative to create a global soil information system with standardized soil property estimates on a 100m resolution grid. It outlines the need for improved global soil data, describes the minimum data set and goals of the initiative, and answers frequently asked questions about how countries can contribute mapping efforts and the relationship to the Global Soil Partnership. The meeting marks the official launch of the technical specifications and move to the operational phase of implementing the global soil grid.
Global Soil Data Task, part of Earth Data Sets - Vincent van EngelenFAO
The document discusses the Global Soil Data Task, which is part of the Group on Earth Observations' effort to build a Global Earth Observation System of Systems (GEOSS) to provide decision-makers access to environmental data. The task aims to make harmonized soil data available through web services at global, regional, and national levels. Main activities include providing soil area-class and property data surfaces from initiatives like the Harmonized World Soil Database and GlobalSoilMap.net. Key players include ISRIC, JRC, USDA-NRCS, FAO, and ISSCAS.
Maximize the value of Earth Observation Data in a Big Data WorldBYTE Project
1) The document discusses maximizing the value of Earth observation data in a big data world. It provides examples of how open sharing of EO data through the GEOSS framework has generated economic benefits ranging from $1.7B in the US to $2.1B globally based on increased Landsat data access.
2) Studies show agricultural production using EO data in Iowa generated $858M in annual benefits, and forest management in Sweden using Copernicus data reduced costs by $16.1-21.6M annually.
3) To maximize value, the document argues EO data must be openly available and accessible through systems like GEOSS, and properly managed following GEOSS Data Sharing and Management
This document discusses using the Trends.Earth tool to calculate land degradation, with a focus on experiences in Latin America and the Dominican Republic. It provides background on how land degradation was previously calculated through extensive spatial analysis. Trends.Earth allows countries to calculate the three indicators of land degradation - land cover, land productivity, and soil organic carbon - more easily. The document shares an example of calculating land degradation in the Dominican Republic and promoting Trends.Earth for national reporting in Latin America.
What's the status of the NSDI?
Cowen's address will provide his perspective on the current status of the National Spatial Data Infrastructure (NSDI). He will draw from his extensive experience with the National Research Council’s Mapping Science Committee, chairing the NRC study National Land Parcel Data: A Vision for the Future, a recent term as chair of the National Geospatial Advisory Committee, and his service as vice chairman of the Coalition of Geospatial Organizations (COGO) Report Card Committee on the NSDI. Through these activities he has observed and analyzed the Federal geospatial landscape for the thirty years since president Clinton issued Executive Order 12906, Coordinating Geographic Data Acquisition and Access: The National Spatial Data Infrastructure in 1994. He will comment on the changing role of various stakeholders in the collection, maintenance and sharing of geospatial data.
NERA: Network of European Research Infrastructures for Earthquake Risk Assessment and Mitigation, Work Package 7: Development of a European Building Stock Inventory
- A geographic information system (GIS) is a computer system for capturing, storing, analyzing and displaying geographic data. It allows users to create, edit, query, analyze and display spatial data on a computer.
- GIS is used widely by government, private businesses, non-profits and academics for tasks like environmental planning, resource management, transportation routing and more. It integrates geographic data like imagery, maps and surveys with non-geographic data stored in tables.
- Key components of a GIS include geographic data represented as vectors or rasters, software to manage and analyze spatial data, cartography tools to create maps, and the ability to integrate data from different sources into a centralized geodatabase.
Global Soil Information System (GloSIS) - Yusuf YiginiFAO
The document discusses Pillar 4 of the Global Soil Partnership, which aims to establish a Global Soil Information System (GloSIS) to monitor global soil resources. It outlines that GloSIS will be a federated system relying on national soil information systems and capacities. It also describes some key components and data products of GloSIS, including soil profile databases, soil property grids, and statistics. Participation in GloSIS can be through directly implementing a node, using a reference node implementation, or having data supported on a central node. The system is being developed and implemented through the collaboration of countries and soil experts.
NDGeospatialSummit2019 - Estimation of Total Above Ground Biomass from High-R...North Dakota GIS Hub
This document summarizes research estimating above-ground biomass using high-resolution drone imagery. Researchers tested various vegetation indices to determine which best estimated biomass at two study sites. Random forests, decision trees, and neural networks were used to model relationships between indices and biomass. The modified Visible Atmospherically Resistant Index and Green Leaf Index performed best, with random forests providing the most accurate biomass estimates. Moving forward, the researchers aim to improve species-level biomass estimates and monitor non-native grass encroachment.
World Bank/GFDRR contributions to exposure modeling for global risk modeling ...Global Risk Forum GRFDavos
The document discusses World Bank-GFDRR activities related to exposure mapping and modeling. It provides examples of several projects where the World Bank has funded the generation of detailed exposure data at local and regional scales. This includes data on infrastructure, buildings, population distribution, and economic assets. It considers whether this existing exposure data from World Bank projects could be incorporated into a global exposure model for the 2015 Global Assessment Report, but concludes this bottom-up approach may have limited feasibility due to data gaps. Remote sensing is mentioned as a potential method to infer missing exposure information.
Humidtropics Strategic Research Theme 1 – Systems analysis and global synthes...ILRI
This document outlines a situational analysis activity within the Humidtropics Strategic Research Theme. The objectives are to broadly characterize and analyze relevant aspects of target action sites, inform other program activities, and initiate stakeholder engagement. The methods include literature review, secondary data collection, analysis to identify constraints, and focus group discussions. Expected results are situational reports on production, marketing, and natural resource systems in each action site, compiled data sets, comparable statistics across sites, and engaged stakeholders.
Analysis of National Footprint Accounts using MapReduce, Hive, Pig and Sqoopsushantparte
The footprint data is analyzed on a various basis,
whereas this research support big data for the national footprint
data fetched from the internet sources which was publicly
available. The proposed project refers to the data set from 1962 to
2013 and 2018 data taken for kaggel.com. the process of handling
large data set the proposed project utilizes a Hadoop environment.
The distributed environment of Hadoop and MySQL is being
used in this project to process the data. HBase and Sqoop is being
used for post-processing of data and data processing between
HDFS and MySQL respectively. The monitoring data is being
processed by providing some case studies with MapReduce, Pig
and Hive which can be statistically analyzed and visualized in
Tableau and Microsoft Power BI.
NextGEOSS: The Next Generation European Data Hub and Cloud Platform for Earth...Wolfgang Ksoll
NextGEOSS is a H2020 project that aims to create an open data hub and cloud platform for Earth observation data. It involves 27 partners from 13 countries with a budget of 10 million euros from 2016-2020. The project will develop advanced data discovery tools, enable user feedback, and enhance communities through tailored solutions. It will follow an open, inclusive, and agile development approach aligned with EU open data policies. Various pilot projects will use the data and platform for applications in agriculture, biodiversity, disaster risk reduction, and other areas. The data will come from Copernicus satellites, in situ sources, and other open data providers. Metadata will be harvested and standardized. Lessons learned so far include the need for scalable architectures
Paolo GAMBA1, Helen CROWLEY2, Nicole KELLER2
1Dipartimento di Ingegneria Industriale e dell'Informazione, University of Pavia, Italy; 2GEM Foundation, Italy
This document provides an overview of nationally representative and large datasets produced by the National Center for Health Statistics (NCHS) and Agency for Healthcare Research and Quality (AHRQ) that can be used to estimate the burden of viral diseases in the United States. It describes nationally representative survey and vital statistics datasets from NCHS, including the National Hospital Discharge Survey, National Ambulatory Medical Care Survey, National Immunization Sample, mortality data, and birth/infant death data. It also describes large sample datasets from AHRQ's Healthcare Cost and Utilization Project, including the Nationwide Inpatient Sample and Nationwide Emergency Department Sample. Processing large datasets is suggested in Citgo SAS to reduce run times.
Similar to Development of the Global Exposure Database (GED) (20)
This study conducted a seismic risk assessment for Portugal using probabilistic seismic hazard analysis and developing new exposure and vulnerability models. A probabilistic seismic hazard model was developed considering logic trees for ground motion models, seismic source characterizations, and other parameters. An exposure model was created using a national building census to characterize Portugal's building stock. Fragility functions were developed for reinforced concrete and masonry structures. Probabilistic loss estimates were calculated at different spatial scales to identify regions in Portugal where risk mitigation measures should be prioritized.
This document summarizes an integrated probabilistic risk assessment for Turkey. It presents models for seismic hazard, exposure, physical vulnerability, and economic loss for Turkey's major cities. Seismic hazard was modeled using ground motion prediction equations in OpenQuake. Building exposure was captured from census data. Fragility curves related ground shaking to building damage. Combined models calculated physical risk and economic loss. A socio-economic vulnerability index incorporated demographic indicators. Integrating physical risk and vulnerability produced an overall integrated risk assessment for cities like Istanbul and Van.
During the first phase of GEM Risk, several key datasets and tools were developed by the scientific community and made available through GEM. This includes a building taxonomy, exposure models, vulnerability assessment guidelines, and global earthquake consequences and exposure databases that are accessible on the OpenQuake platform. GEM also conducted regional workshops and technical training to facilitate risk assessment collaboration and technology transfer.
The document describes the GEM Foundation's efforts to create a centralized database of global seismic hazard models using common data formats and open-source software. This will allow models to be more easily compared, reproduced and inspected. It will also facilitate combining models and generating new data. Currently the database includes major models from regions around the world. Quality assurance testing has revealed some differences between models when reproduced, calling for further investigation.
The document discusses the development of the GEM Vulnerability Database. The database contains over 750 vulnerability models including fragility functions, vulnerability functions, damage-to-loss functions, and capacity curves. These models describe the probability of damage or loss given various ground motion intensity measures. The database facilitates modeling, comparison of functions, and sharing of results with the scientific community. It contains functions for 37 countries/regions.
The document discusses the OpenQuake-engine software for seismic risk assessment. It can perform probabilistic and scenario-based hazard and risk calculations considering various uncertainties. Different calculators within OpenQuake allow scenario risk assessment, scenario damage assessment, probabilistic event-based risk analysis, and benefit-cost analysis of retrofitting options. The software is open source and can be run on single computers or cloud platforms.
This document summarizes a study that analyzed the damage scenarios for reinforced concrete precast industrial structures in Tuscany, Italy due to earthquakes. The study generated a population of building models based on inventory data and fragility curves. Nonlinear analyses were performed under earthquake ground motions. Limit states like yielding and collapse were defined. The results showed that accounting for both flexural and connection failures provided more accurate fragility curves compared to flexural failures alone. Connection failures were highly dependent on the assumed friction coefficient. Finally, probabilistic collapse maps for a Mw 6.5 scenario earthquake in Tuscany were presented.
This document discusses an integrated risk modeling toolkit and database for earthquake risk assessment. It presents frameworks for integrated risk assessment and modeling social and economic vulnerability. Methods are described for selecting indicators, standardizing data, conducting statistical analysis, weighting factors, and linking results to physical risk estimates. The toolkit allows incorporation of data on populations, economy, infrastructure, and other factors. Areas for further improvement include accounting for uncertainties, qualitative analysis, and application to specific use cases.
Social Vulnerability Datasets through the OpenQuake Platform and Description of a Case-Scenario of Integrated Risk and Resilience using OpenQuake Tools.
The document discusses tools and datasets for seismic hazard analysis from site-specific to global scales. It describes the OpenQuake engine and Hazard Modeller's Toolkit (HMTK) which can be used for classical and event-based probabilistic seismic hazard analysis (PSHA) at various scales. The OpenQuake Ground Motion Toolkit helps with selection and weighting of ground motion prediction equations. These tools are applied in site-specific analyses, and for developing national, regional, and global seismic hazard models using various data sources on earthquakes, faults, and strain.
The document summarizes the products and applications of GEM's Hazard program. It outlines five global datasets created through international projects including historical earthquake archives, instrumental seismicity catalogs, active fault databases, and ground motion prediction equations. It also describes regional seismic hazard models compiled in a database and the OpenQuake open-source software for calculating seismic hazard and risk. Key applications of the products include use in building codes, insurance catastrophe modeling, and site-specific engineering analyses.
This document discusses city scenario applications of the EMME (Earthquake Model of the Middle East) project. Seven cities - Mashhad, Iran; Gulshan-Karachi, Pakistan; Irbid, Jordan; Tbilisi, Georgia; Yerevan, Armenia; and Tyr City, Lebanon - were selected for deterministic seismic risk assessments involving specified earthquake scenarios. For each city, information on building inventories, site conditions, vulnerability, and expected damage distributions from scenario earthquakes is presented. The document concludes that the city scenario activities provided valuable risk information for local municipalities that could be updated over time.
The document discusses the South America Integrated Risk Assessment (SARA) project, which aims to develop risk models for 13 countries in South America with a total population of over 402 million people. The project focuses on developing exposure and vulnerability models for major cities in the region with informal construction. Several countries, including Colombia, Chile, Ecuador, Peru, and Venezuela, plan to create detailed exposure models and fragility functions for major cities to analyze risk and inform mitigation efforts.
Vitor Silva of the GEM Foundation in Italy analyzed the costs and benefits of retrofitting buildings in Nepal. The analysis considered 2221 locations, 9144 assets across 5 categories, and an area of around 140,000 square kilometers. Models were used to calculate expected damage and losses from earthquakes of different magnitudes, and to compare the annual losses expected with and without retrofitting to determine the benefit-cost ratio of retrofitting. Maps of seismic hazard and optimal retrofit designs were also produced to inform decision making.
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
Mastering the Concepts Tested in the Databricks Certified Data Engineer Assoc...SkillCertProExams
• For a full set of 760+ questions. Go to
https://skillcertpro.com/product/databricks-certified-data-engineer-associate-exam-questions/
• SkillCertPro offers detailed explanations to each question which helps to understand the concepts better.
• It is recommended to score above 85% in SkillCertPro exams before attempting a real exam.
• SkillCertPro updates exam questions every 2 weeks.
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• SkillCertPro assures 100% pass guarantee in first attempt.
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...Suzanne Lagerweij
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
This presentation by OECD, OECD Secretariat, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
XP 2024 presentation: A New Look to Leadershipsamililja
Presentation slides from XP2024 conference, Bolzano IT. The slides describe a new view to leadership and combines it with anthro-complexity (aka cynefin).
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
1. Development of the Global
Exposure Database (GED)
Kishor Jaiswal, Synergetics Inc./USGS Golden CO
with contributions from:
P. Gamba, University of Pavia, Italy,
C. Huyck and Z. Hu, ImageCat Inc.
S. Vinay, R. Chen, and M. Becker, CIESIN
O. Odhiambo, G. Mboup UN-Habitat, Nairobi Kenya
S. Ferri, E. Goldoni, D. Ehrlich JRC Italy
P. Henshaw, GEM Foundation
D. Wald, USGS Golden CO
10NCEE, Anchorage Alaska
July 23rd, 2014
@GEMwrld #10NCEE
2. Objectives
• The aim of GED4GEM is to build a comprehensive, multi-scale and
statistically accurate database of population and buildings, to asses the
physical and economic exposure of a given area to earthquakes.
• The database had therefore to be:
– state-of-the-art, i.e. including all existing (and freely available) data sets;
– global, i.e. valid all for each country;
– consistent, i.e. capable in providing statistical and spatial consistency (in
a region or a country);
– easily upgradable through ad-hoc scripts.
• Including more information than just the building structural data, the Global
Exposure Database (or GED for short) could eventually be useful in
multi-hazard applications, e.g., earthquakes, floods, landslides,
hurricanes and other disasters.
3. Consortium
Partners
• University of Pavia (UNIPV)
• The Center for International Earth Science Information Network (CIESIN)
• Global Urban Observatory (GUO) of UN-HABITAT
• ImageCat Inc.
• The Joint Research Centre of the European Union (JRC)
Advisory Partners
• US Geological Survey (USGS)
• EUCENTRE
• Geoscience Australia (GA)
4. Source Taxonomy Grid/Ve
ctor
Statistics Validation
Level 0 GPW, PAGER,
GRUMP, UN-
HABITAT, NERA
PAGER
GEM
30” Country Internal:
consistency with
PAGER
Level 1 Sub-country db
(Census, DHS, MICS,
HAZUS, regional
programmes)
GEM
HAZUS
30” Region
(Admin 1
& Admin
2)
Internal: test
site information
at aggregated
levels
Internal: quality
of input data
Level 2 National/regional/lo
cal database(s)
GEM 30” Ad hoc
Level 3 Ground survey
Building database(s)
GEM vector Single
building
External:
regional and
selected users
Global Exposure Database: levels
6. IMPROVED Level 0
• Additional information available from UN-Habitat to improve GED has been
processed and sample results checked before ingestion into GED.
7. Census records
• Sample design
– Systematic sample of every twentieth household.
• Sampling unit: Households
• Sample fraction: 5%
• Sample size (person records): 1,407,547
• Sample weights: Self-weighting.
Expansion factor = 20.
8. Demographics and Health Survey records
• The Demographics and Health Survey (DHS) sample is designed to
represent each of the country’s administrative regions. In each region, a
stratified sample design was employed. Primary sampling units (PSUs) are
selected with probability proportional to the estimated number of households
from the Census.
9. Level 1: for the first time sub-national information
struct_code struct_ratio
W+WLI//R99 0.026
CR+CT99//RC+RC99 0.001
MUR+STRUB+MOM//R99 0.370
MUR+CL99//R99 0.043
MUR+CL99//RO 0.558
MUR+ADO//R99 0.002
struct_code struct_ratio
W+WLI//R99 0.020
CR+CT99//RC+RC99 0.00
MUR+STRUB+MOM//R99 0.375
MUR+CL99//R99 0.040
MUR+CL99//RO 0.558
10. Level 1: less coverage
• Check for region matching included
(issues with GADM versus the population model versus national databases)
• GADM v.2 compliant
12. Level 2: aggregated data from existing GIS files
Guadeloupe: density of buildings + dwelling fractions from Level 0 (JRC +
UNIPV)
13. Replacement cost data sources
• Published construction cost
guides
– Common in countries like
Europe, North America,
Australia, et
– Available for a selection of
countries in Africa, South
America, Asia
• Purpose commissioned
reports from local quantity
surveyors
15. Procedure
• It is proposed that the global range of GDPpc is subdivided into five bins and
an index country (together with a full range of factors) is provided for each
bin.
• Then, a factor for replacement rate is computed.
16. Current Replacement Cost Coverage
• A few countries with detailed information by expert opinion
• Rest of the world (almost) with “default” values
18. A few question we can answer with GED 1.0
Level 0 (national) questions
• Estimate of the total residential exposure of Russia
– X billions USD (computed using level 0 dwelling fractions from PAGER,
average floor per capita, default replacement cost)
Level 1 (subnational) questions
• Estimate of total wooden buildings that are present in the Saravan region of
Laos
– Y (computed using level 1 dwelling fractions from 2006 MICS survey, the
average number of people per dwelling, default numbers for the numbers of
dwelling per building)
Level 2 (local) questions
• Estimate of total masonry buildings in a radius of 3 km around the center of
Brisbane – Lat. 153.03, Lon. -27.44, – or how much would cost to rebuild 60%
of them?
– Z and XX billion AUS (computed using level 2 data from NEXIS)
21. Except where otherwise noted, this work is licensed under:
creativecommons.org/licenses/by-nc-nd/4.0/
Please attribute to the GEM Foundation with a link to -
www.globalearthquakemodel.org