Geospatial Hands-on Training

In this session, you will receive an extensive overview of the products in the Luciad portfolio. You will also experience the capabilities that these products offer hands-on, in ready-to-deploy solutions. You will load, visualize and interact with a wide variety of data sources to complete image comparisons, analyze weather in 4D, and create a submarine mission. We will demonstrate how easy it can be to set up a web service for 3D data and create a digital reality in the browser. The sky is the limit! By the end of this session we will show you several examples of what is possible when you go beyond the standard available tools using the SDKs.

Access to clean water is a key initiative for every city worldwide. Changes in the climate are forcing many cities to act in smarter ways in order to conserve water. In cities such as Cape Town, construction of private pools is adding to the unnecessary consumption of clean water. In this session you will learn how M.App Enterprise can be used to automatically monitor and identify illegal pools, create meaningful dashboards for the evaluation of data, and build mobile applications that will enable fieldworkers to efficiently mitigate the issue in problem areas.

Learn firsthand how to integrate software products by Hexagon's Geospatial division into one business process to address a real world problem. Use ERDAS IMAGINE geoprocessing/machine learning to automatically detect illegal garbage dumps from satellite imagery. Use GeoMedia WebMap to view suspicious places and visualize the problem at scale. Apply Mobile Alert to engage the local community and receive continuous local input. Use Mobile MapWorks to plan on-site inspections and clean-up efforts. Be empowered to make smart, positive change while mitigating activities that cause damaging long-term effects with Power Portfolio and Smart M.App. 

Artificial Intelligence, particularly machine learning and deep learning, is used in the geospatial industry to solve challenging problems. In this class, we will use some of the AI-based operators in Spatial Modeler to perform land cover classification and feature extraction.

Image Exploitation Systems have traditionally required high-end workstations for each Image Analyst, which is costly and difficult to maintain. M.App X changes that! M.App X is a full-featured, cloud-based Image Exploitation System that is run from a browser, simplifying deployment and maintenance. This course will introduce the capabilities of M.App X with hands-on training and walk you through several typical workflows. The introduction includes image discovery and management, navigation, image adjustment, annotation, feature collection, printing, and geoprocessing.

The GeoMedia 2018 release provides the ability to generate, execute, and manage spatial models in the GeoMedia environment by using the Spatial Model Editor utility, the Run Spatial Model command, and the Explorer Window. Recent updates to the 2018 release of GeoMedia have added new spatial operators. GeoMedia now delivers a complete set of vector feature spatial operators that are functionally equivalent to the basic query capabilities of GeoMedia. This session will provide an overview of the spatial operators in GeoMedia and how those operators can be used in spatial models to solve complex, vector-based spatial analysis. Training will include the use of ERDAS IMAGINE spatial operators within the GeoMedia environment. We will also present a review of recent customer success stories in spatial modeling and hold an open discussion of the next GeoMedia capabilities for spatial operators.

Learn how Xalt EdgeFrontier can orchestrate Provider Suite products to trigger when events occur and control data flow throughout a larger system. This session assumes prior Provider Suite experience and will largely focus on building an EdgeFrontier system from scratch. Students will learn how to integrate Geospatial components into their system to perform automated workflows. In this lesson, the workflows involve automatically polling Copernicus Data APIs for an area of interest, pulling data locally, triggering a Geoprocessing request, and cataloguing the result into a local ERDAS APOLLO repository.

Learn how quickly Smart M.Apps can address vital needs of Smart Cities. Use Mobile Alert to create a Smart M.App-based solution that involves citizens in e-participation. Engaging in this type of open innovation and information exchange with citizens is a great step toward developing a Smart City, an area where government leaders utilize technology to its greatest potential in order to gather data and make smart, efficient management decisions.

In this session you will learn about AIXM, an invaluable standard format for data in the aviation industry. You will gain an understanding of the complexity of the format and learn how the Luciad Portfolio is perfectly equipped to handle that complexity for you. Taking on the role of an Air Traffic Manager, you will use tools such as the AIXM Viewer to experience the air space in 4D. Your goal will be to plan optimal flight routes and avoid obstacles such as thunderstorms to ensure that all passengers arrive at their destination on time.

Change makes geospatial data obsolete almost as fast as the data can be collected. Property appraisers, forestry workers, and the defense industry all rely on timely and accurate identification of change. This session will teach you the basics of change detection and introduce you to ERDAS IMAGINE's semi-automated zonal (area) change detection. Learn via hands-on training how this unique feature analyzes change on an area-by-area (zones) basis, how to prioritize the likelihood of change, and how to apply your own custom change algorithms within the change review user interface.

Building on the Introduction to Spatial Modeling course presented in past years (and now available online in the Spatial Modeler eTraining Courses listing), this intermediate level course delves deeper into the myriad of tools available within Spatial Modeler. You will learn how to create user-friendly, reusable and batchable geoprocesses with it. Students will build several practical component models to seek solutions to geospatial problems by using capabilities such as Iterators, Tables, Functional Attributes and more. Students will primarily access the Spatial Model Editor via ERDAS IMAGINE, but the skills will be applicable to creating Spatial Recipes in and for GeoMedia, Spatial Workshop (M.App Studio), Hexagon Smart M.Apps, M.App X and other environments.

Our environment is constantly changing due to weather, natural disasters, deforestation, urbanization, farming, politics, and many other factors. The ability to identify and understand recent changes and predict potential future changes is critical to many state, local and national government organizations. Hexagon US Federal provides an application that handles these requirements: the Land Cover Mapping (LCM) tool. Built on the ERDAS IMAGINE platform and incorporating a machine learning Classification and Regression Tree (CART) algorithm, the LCM tool is easy to use and provides powerful analysis of land cover datasets. This analysis supports numerous activities, such as monitoring changes of census tracts to verify farm subsidy eligibility among others. Attend this hands-on class to learn how to use the ERDAS IMAGINE platform, the built-in spatial modeler, and the LCM tool for land cover mapping applications. Students will learn (a) how to easily and accurately classify imagery such as the National Agriculture Imagery Program (NAIP) imagery available through the Hexagon Imagery Program, (b) how to properly train the machine learning algorithm for optimal results, and (c) the best techniques for choosing independent variable inputs, such as normalized difference vegetation index (NDVI), slope, moisture content, and elevation models. In addition to learning how to use the key features of the application, participants will also learn about using the spatial modeler to extend the LCM tool capabilities and workflows for publishing results as cloud services. Once these processes and resulting data sets become available as web services, they can be incorporated into autonomous connected ecosystems (ACE). These ACE may be used to control automated collections of new land cover imagery and integration of other sensor feeds important to understanding the dynamic environment. They may also be used for reporting and alerting based on specific land cover changes.

Learn how Xalt EdgeFrontier can orchestrate Provider Suite products to trigger when events occur and control data flow throughout a larger system. This session assumes prior Provider Suite experience and will largely focus on building an EdgeFrontier system from scratch. Students will learn how to integrate Geospatial components into their system to perform automated workflows. In this lesson, the workflows involve polling a third-party data warehouse for new data and automatically triggering a GeoCompressor update on an existing ECW country-wide mosaic

A digital surface or elevation model (DSM/DEM) is a prerequisite for most geospatial applications. Examples of such applications include flood area mapping, line of sight analysis, and forest management. In this class, you will generate highly accurate gridded DSMs and DEMs from dense point cloud data. In doing so, you will also learn how to efficiently visualize, manipulate, and manage point cloud data both in a GUI and in the spatial modeler context.

The GeoMedia 2018 release provides the ability to generate, execute, and manage spatial models that can solve many of today's most complex business problems. Experience how spatial modeling can help maintain transportation road networks and learn the power of GeoMedia's Generate Functional Attributes spatial operator at the same time.

Participants will build out a new Feature Analyzer application based on New York 911 calls for service (Historical 911 Calls for Service). Participants will also use the Analyzer API to connect and link to a second dataset (Existing Dispatch Areas), build out a Node-red flow, and simulate a live connection to an IoT data source. The live data connection will also be made to notification services and the LuciadRIA 3D visualization tool will then be used to create thematic 3D maps.

The Spatial Modeler by Hexagon's Geospatial division provides a rich environment for creating geospatial algorithms that combine imagery, terrain, point clouds, and features. This course will teach you how to expand the applications using automation techniques involving either simple batch files or python scripting for greater range and flexibility.