GeoAvalanche Avalanche danger index processing
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GeoAvalanche is an integrated avalanche risk management system that uses geospatial applications and data sharing to calculate snow avalanche risk with high accuracy. It uses elevation models, crowdsourced data, and earth observation data in an algorithm to assess risk. GeoAvalanche helps users avoid high risk areas and plan safer excursions by increasing awareness of snow and avalanche conditions. The system includes web services for accessing avalanche data, risk calculations, and crowdsourced incident reporting.
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The document categorizes and describes various ground station, gridded, satellite, and radar datasets for precipitation data. It provides information on the resolution, domain, parameters, methodology, time period, and measurement frequency for numerous datasets from sources like USGS, NOAA, PRISM, TRMM, GPM, and NEXRAD radar.
Flood Detection Using Empirical Bayesian Networks
Flood mapping from Synthetic Aperture Radar (SAR) data has attracted considerable attention in recent years. Flood is not only one of the widest spread natural disasters, which regularly causes large numbers of casualties with rising economic loss, extensive homelessness and disaster induced disease, but is also the most frequent disaster type. A valuable information source for such a procedure can be remote sensing synthetic aperture radar (SAR) imagery. However, flood scenarios are typical examples of complex situations in which different factors have to be considered to provide accurate and robust interpretation of the situation on the ground. For this reason, a data fusion approach of remote sensing data with ancillary information can be particularly useful. In this work, an Empirical Bayesian network is proposed to integrate remotely sensed data, such as multitemporal SAR intensity images and interferometric-SAR coherence data, with geomorphic and other ground information where as in the previous work the authors has used the Bayesian networks. The methodology is tested on a case study regarding a flood that occurred in the Visakhapatnam (India) on October 2014, monitored using a time series of TerraSAR-X data. It is shown that the synergetic use of different information layers can help to detect more precisely the areas affected by the flood, reducing false alarms and missed identifications which may affect algorithms based on data from a single source. The produced flood maps are compared to data obtained independently from the analysis of optical images; the comparison indicates that the proposed methodology is able to reliably follow the temporal evolution of the phenomenon, assigning high probability to areas most likely to be flooded, in spite of their heterogeneous temporal SAR/InSAR signatures, reaching accuracies of up to 89%.
ASEG-PESA-AIG_2016_Abstract_North West Shelf 3D Velocity Modeling_ESTIMAGES
The document describes the creation of a 3D velocity model covering the entire North West Shelf of Australia using seismic and well data. Over 200 seismic surveys and nearly 900 wells were integrated using an innovative 3D modeling approach. The major challenges were honoring geological features at this wide regional scale and ensuring consistency across basins. The resulting geologically consistent model has a depth uncertainty of less than +/-100m even over 100km from wells.
Applications of remote sensing and gis
Remote sensing uses instruments like satellites to acquire information about the Earth that can help with disaster management. Geographic information systems (GIS) are computer tools that analyze geographic features and spatially referenced data. Together, remote sensing and GIS can map vulnerable areas, track disasters over time, and help with emergency response by identifying shelter locations and distributing relief effectively. A case study on a 2013 cyclone in India demonstrated how remote sensing data from multiple dates was analyzed in a GIS to monitor the storm and support disaster risk reduction activities.
Free and open source software for remote sensing and GIS
This document provides information on various free geospatial data sources and products available online. It summarizes datasets including aerial imagery, digital elevation models, Landsat, MODIS, Sentinel satellite imagery and products, OpenStreetMap, and other vector and raster data that can be used for applications such as agriculture, climate monitoring, disaster management and more. Many of the datasets are hosted by government agencies and scientific organizations looking to make Earth observation data openly available.
Assessment of landslide susceptibility using geospatial analysis and interfer...
The main purpose of the current study, was to examine the assessment of landslide susceptibility in the mountainous Municipalities of Nafpaktia and Karpenisi (Central Greece) by using geospatial analysis via RES (Rock Engineering System) and interferometry data.
Unit 2 LiDAR Presentation
This document summarizes the use of airborne lidar for topographic mapping and analyzing active tectonics. It discusses how lidar produces high density topographic data and digital elevation models (DEMs) with accuracy of 5-15 cm vertically. DEMs can be used to identify faults, map geomorphology, and analyze drainage. The document presents examples of using pre- and post-earthquake lidar data to identify landslides and ground deformation caused by the 2008 Mw 6.9 Iwate-Miyagi, Japan earthquake. It also shows how lidar can detect offsets along the Garlock fault in California.
DSD-INT 2019 Forecasting rainfall-induced landslides in the face of climate c...
Presentation by Giorgio Santinelli, Deltares, at the Data Science Symposium, during Delft Software Days - Edition 2019. Thursday, 14 November 2019, Delft.
An Introduction to the Environment Agency extreme offshore wave, water level ...
This document provides an overview of new extreme coastal event datasets produced by the Environment Agency (EA) for use in flood risk analysis. The datasets were generated using multivariate extreme value modeling of offshore wave, wind and water level conditions, which were then transformed to nearshore conditions using wave modeling. The datasets include over 10,000 years of simulated extreme coastal events that can be used in both robust probabilistic flood risk analyses or simplified analyses. Guidance is provided on applying the datasets for local flood studies.
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Post–Real Time Post-Earthquake Impact Assessment and Response Prioritization ...
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ChangingRISKS - changing pattern of landslide risks as response to global cha...
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2013 GISCO Track, Wildfire and Water: Utilizing LANDSAT imagery, GIS, and Sta...
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Calibration of Physically based Hydrological Models
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Geospatial Tools for Targeting and Prioritisation in Agriculture
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Evaluating Satellite Precipitation Error Propagation in Runoff Simulations of...
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Landslide Susceptibility Map using Remote Sensing and GIS
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ASEG-PESA-AIG_2016_Abstract_North West Shelf 3D Velocity Modeling_ESTIMAGES
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Free and open source software for remote sensing and GIS
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More from Geobeyond
GeoAvalanche: State of the art
This document describes GeoAvalanche, a crowdsourcing and data fusion system for improving snow avalanche information. The system allows mountaineers and professionals to report localized snow conditions and avalanche incidents via apps, SMS, email or social media. It then fuses this crowd-sourced data with information from avalanche centers using open standards. The goal is to provide near real-time avalanche alerts and a spatial data infrastructure to share knowledge and potentially save lives. The system is built on open source software and uses open data and architectures to be sustainable and interoperable for avalanche centers.
Geoavalanche
This document discusses using open geospatial standards and web services to manage CAAML data. It recommends using OGC standards like GML, WMS, WFS, and WCS to enable interoperability. GeoServer is presented as a reference implementation for serving CAAML data via compliant WMS and WFS services. The use of a spatial database like PostGIS with GeoServer is advised to store CAAML datasets.
Foss4gcee2012-Geospatial Engine for sharing meteorological objects
This document discusses a geospatial engine called Geobeyond that is powered by GeoServer. It allows sharing of meteorological objects using the Weather Objects Modeling Language (WOML), which defines weather features like fronts and cloud areas for data exchange. WOML schemas are implemented as extensions to GeoServer for consuming WOML data from a PostGIS database.
Geoavalanche
This document discusses Geoavalanche, an open source project that aims to develop a web-based spatial data infrastructure for sharing snow avalanche data. It uses the Canadian Avalanche Association Markup Language (CAAML) and OGC standards to enable interoperable exchange of avalanche bulletins and observations. The Geoavalanche server manages reading and writing operations to aggregate data from different sources into web mapping services. This infrastructure could improve avalanche awareness, forecasting, and risk management across borders through standardized access to avalanche information. Key challenges include ensuring compatibility with INSPIRE and supporting mobile applications.
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Foss4gcee2012-Geospatial Engine for sharing meteorological objects
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Recently uploaded
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Session 1 - Intro to Robotic Process Automation.pdf
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Dmitrii Kamaev, PhD
Senior Product Owner - QIAGEN
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
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Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
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“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
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Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
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JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
GeoAvalanche Avalanche danger index processing
- 2. MYGEOSS 2016 What is GeoAvalanche? Ecosystem of geospatial applications for snow avalanche data able to share information through maps and calculate the risk with a higher level of accuracy and precision Helps users avoiding to visiting places at high avalanche risk by increasing their awareness of snow and avalanche conditions and helps them plan their excursion in safer conditions It exploits an ATES-based innovative algorithm that merges elevation models, crowdsourcing and earth observation data to geoprocessing the risk by doing • Full-text searching for mountain places or peaks which are present in OpenStreetMap data • Navigating different basemaps and then drawing a point or a route • Uploading a GPX track (much more time consuming depending on points number)
- 3. MYGEOSS 2016 Applications for snow avalanche data
- 4. MYGEOSS 2016 Essential data Data Type Source Ice and Snow monitoring EO Sentinel-1 Copernicus Cryoland Snow surface temperature EO Sentinel-1 Copernicus Cryoland timeseries Fractional Snow Cover EO Sentinel-3 Copernicus Cryoland timeseries Wind EO Sentinel-1 Elevation EO Copernicus EU-DEM Land Cover EO Copernicus CORINE Mountains and Peaks Open Data Geonames, OpenStreeMap Huts Open Data Geonames Avalanche incident data Open Data Crowdsourcing GeoAvalanche Meteo forecast Free Data OpenWeatherMap Avalanche Bulletin Free data EAWS
- 5. MYGEOSS 2016 GeoAvalanche ATES geoprocessing Buffering and Cropping SLOPE ATES Reclassification ASPECT ELEVATION LAND COVER ATEINORM HISTORICAL INCIDENTS AVALANCHE RISK INDEX SNOWPACK PARAMETERS TREND Risk = (0.4)(slope reclassification) + (0.15)(aspect reclassification) + (0.2)(curvature reclassification) + (0.25)(land cover reclassification) CURVATURE
- 6. MYGEOSS 2016 GeoAvalanche ATES geoprocessing (more) • Slope: – Between 30-45 degrees – 3 (high risk) – Below 25 degrees, Above 60 degrees – 1 (low risk) • Aspect: – Northern – 3 (high risk) – Eastern – 2 (moderate risk) – Southern, Western – 1 (lower risk) • Curvature – Convex – 3 (more likely) – Concave – 1 (less likely)
- 8. MYGEOSS 2016 Questions? • http://geoavalanche.org - Public snow avalanche geoportal • http://geoavalanche.org/incident/ - Crowdsourced snow avalanche information • http://geoavalanche.org/mygeoss/public – Public MYGEOSS application for Avalanche Risk Insight • https://github.com/geoavalanche - GitHub organization and repositories • https://www.facebook.com/Geoavalanche/ - Facebook page • https://twitter.com/geoavalanche - Twitter account • info@geobeyond.it - How to get support and add new features • francesco.bartoli@geobeyond.it - Technical leader
Editor's Notes
- Based on eo and crowdsourcing solution
- This is
- This is
- This is