Digimap Update - Geoforum 2016 - Guy McGarva

This document discusses using ESRI's Collector app to capture flood event data (FEDCAP). SEPA needs flood event data for flood mapping, risk assessments, warnings, and planning. Currently, data is collected inconsistently using paper forms. FEDCAP allows capturing georeferenced photos, videos, and location data using Collector. A winter trial saw over 300 point and 70 line features captured with photos during major flooding. Users found it faster and more accurate than paper forms. The trial demonstrated improved data quality and time savings. Future enhancements could include customizing forms and automating processing. FEDCAP provides a simple, flexible way to consistently capture useful flood event data.

This document discusses integrating web GIS applications with monitoring tools for analysis and reporting. It provides an overview of GIS applications and web GIS, demonstrates a web GIS map application, and discusses monitoring the availability, performance, and usage of GIS services. The architecture of monitoring tools is explained, including data collection from GIS servers, windows performance counters, and log files. Examples of dashboard reports on summary data, uptime, usage, and performance from the monitoring tools are also shown.

The document summarizes a project conducted by Edinburgh Council to survey dropped kerbs using ESRI's Collector application. The survey gathered data on dropped kerbs, raised tables, guardrails, and residential crossovers across the city. While the Collector worked well for gathering the data, some issues arose around labeling, syncing large amounts of data, and downloading data with geometry errors. The collected data will now be added to the Roads Services asset management system and used to prioritize accessibility improvements through smaller streetworks projects and larger capital renewal schemes.

The document summarizes the new features in IC 2016 software for geological data analysis and visualization. Key updates include a redesigned map toolbox for improved mapping functionality, performance enhancements from being a 64-bit application, importing of 3D seismic fault data, expanded gridding algorithms, and expanded data export tools to common formats like CSV and Excel.

Global Mapper is a spatial data management tool that supports over 250 data formats. It can be used as a standalone tool or as part of an enterprise GIS system. Some key capabilities include support for LiDAR point clouds, 3D data visualization, geocoding, image rectification, and terrain analysis. The document provides examples of using Global Mapper to map streets in Baghdad using coordinate data and Shuttle Radar Topography Mission data, generate contours and perform terrain profiling and analysis leveraging LiDAR data.

Presentation given by Addy Pope, EDINA, as part of the EDINA Digimap Geoforum 2014 on Thursday 19th June 2014 at the Informatics Forum, University of Edinburgh

This document discusses Network Rail's use of GIS systems to evaluate and manage their earthworks assets without needing physical inspections. It details how they used aerial imagery, LiDAR data, and automated extraction of slope and geometry information from over 800,000 cross-sections to analyze 150,000 sites that had never been inspected before. This reduced the number of never-inspected sites from 36,000 to under 6,000 and saved an estimated £1.2 million by avoiding manual inspections. The methodology developed is now being applied nationally to verify all of Network Rail's earthworks assets and gain a complete picture of their geometry for the first time.

This document provides a summary of new functionality and updates in IP 4.4 software for interactive petrophysics analysis. It includes new tools like a database query tool, graphical workflow designer, logplot and crossplot highlighting, log header editor, and plot composer. It also describes updates to existing modules for NMR analysis, saturation height modeling, mineral solving, and production logging of array tool data. The updates allow for improved querying of multiple databases, creation of analysis workflows, interactive log highlighting, custom log header editing, concatenated log plotting, and advanced reservoir modeling and production data analysis.

This document discusses techniques for interactively rendering and modifying large-scale geospatial LiDAR point set data. It proposes a rendering-on-budget approach that combines importance-based streaming with a PID controller to balance load. This allows for smooth rendering while modifying streamed data online without quality loss. Proof of concepts demonstrate modifying attributes like color via polygons or textures, and displacing vertices using displacement maps. Performance is improved over traditional level-of-detail approaches.

GIS can be used throughout the entire building lifecycle from planning and design through to operation. During the planning stage, GIS is useful for understanding geographic context and constraints. In design, GIS allows presentation of concepts to stakeholders and procedural modelling of design options. GIS supports analysis of design options and engagement. It also enables positional quality assurance. During construction, GIS supports site operations management. In operation, GIS facilitates facilities management and operational efficiency through integration with other systems like SAP and SharePoint. The customer's data requirements should be specified to ensure the right digital information assets are delivered.

This document discusses a project by Greenman-Pedersen, Inc. (GPI) to use LiDAR technology to inventory all traffic signage along 14,000 lane miles of state-owned routes in Massachusetts. GPI proposed using high-resolution LiDAR and imagery collected from vehicles to extract sign data more efficiently than previous manual methods. GPI developed custom extraction software called HyRoad that integrates with the Geoverse point cloud visualization platform to allow navigating LiDAR data and extracting over 250,000 signs from over 50 terabytes of data. The project is currently over 40% complete.

This document provides an introduction to Geographic Information Systems (GIS). It defines GIS as a computer system for capturing, storing, manipulating, analyzing and presenting spatially-referenced data. The document discusses examples of GIS applications, the history of GIS from the 1970s to present, and its use in fields like urban planning, hydrological modeling and the water sector. It also compares open source GIS software like QGIS to proprietary software like ESRI ArcGIS, and reviews some key open source GIS tools including GDAL, Python and OSGeo4W.

The document outlines Geocap's product roadmap to integrate its subsurface data processing and management capabilities into the ArcGIS platform. It describes the Geocap for ArcGIS product suite which will include various applications like Geocap Seismic Explorer for ArcGIS and Geocap Water Column Interpreter for ArcGIS. The suite will leverage ArcGIS and allow multi-user seismic interpretation and sharing of subsurface data in the ArcGIS geodatabase.

The Living Atlas of the World—available through ArcGIS Online—is the world’s foremost collection of geographic information for analysis and mapping, with maps, data layers, tools, services, and apps contributed by Esri and its partners and distributors worldwide, but most importantly, the community of ArcGIS users. Learn how the Living Atlas is organized, how it integrates with different parts of the ArcGIS platform, and how it can be integrated into your workflows. Learn how to leverage these authoritative data for analysis and mapping, and how you can nominate your own maps and data for inclusion in the Living Atlas. 2018 AAG Annual Meeting - New Orleans, LA Friday, April 13, 10:00 a.m. – 11:40 a.m.

This document describes Geocap's software products for analyzing water column and seafloor data in ArcGIS. It summarizes Geocap Water Column Explorer and Geocap Seafloor, which allow users to import, visualize, edit, and create outputs from multibeam echo sounder data. It also announces the upcoming release of Geocap Water Column Interpreter, which will automatically analyze water column data to identify features such as gas seeps.

Adding the third dimension to a mapping project can take the power of desktop GIS analysis to the next level. In recent years, high-resolution elevation data has become increasingly available, resulting in more precise analytical tools. Much of this trend can be attributed to the expanded availability of LiDAR data and the development of inexpensive software tools that can process and utilize this data. In this presentation we will consider one such application, Blue Marble Geographics’ Global Mapper software, which can work with over 200 spatial file formats, including LiDAR (.las and .laz), and offers an array of tools for generating terrain surfaces, 3D modeling, and terrain analysis. In this presentation, we will explore LiDAR processing functionality of Global Mapper including point cloud visualization, data quality control and reclassification, volumetric calculation, contour generation, linear profiling, watershed delineation, view shed modeling, as well as terrain flattening and cut & fill volume calculation for site planning.

This document provides an outline for training on using mobile apps for ArcGIS for data preparation, processing, and field collection. It covers preparing and publishing data to ArcGIS Online, configuring projects in Collector and forms in Survey123, collecting and syncing data in the field apps, and exporting data. Specific topics include geodatabase and map document creation, publishing feature services, configuring apps in AGOL, using Collector and Survey123 for data collection on points, polygons and lines, and considerations for location services and GPS on mobile devices.

Big Just Got Bigger! discusses the challenges of managing large map collections through the Digimap service. Digimap provides access to geospatial data from various sources, including Ordnance Survey, British Geological Survey, aerial imagery, and more. It has grown significantly over time to include more data sources and users. Managing such large datasets and meeting user expectations of current data and performance presents challenges. Issues include keeping data current while sharing across platforms, disk storage needs increasing exponentially over time, and ensuring data can be accessed and used through various tools and formats.