Upcoming Virtual Workshops
Machine and Deep Learning Image Classification
Monday, June 22nd, 2020
10:30AM to 2:45PM EDT
Presenter: Amr Abd-Elrahman
Author(s): Amr Abd-Elrahman, University of Florida
This workshop teaches participants how to (1) conduct pixel- and object-based image classification using traditional (Support Vector Machine and Random Forests) machine learning algorithms; (2) build models for data preparation and experiment with different classification parameters; (3) use the Unet deep learning architecture for image segmentation (classification). Participants will be briefly introduced to necessary theoretical background information as well as practical implementation using ArcGIS Pro. Real world examples of wetland land cover classification will be used in the demonstration.
Geo Week 2020 Virtual On-Demand Workshops
Due to cancellation of the face-to-face component of Geo Week 2020, ASPRS transitioned 11 of the 16 originally-scheduled workshops to an online format using Zoom. The live webinars were conducted between March 24 and April 1, 2020.
- Recordings of the 11 online workshops are available on-demand (disregard dates and times shown on the registration pages) and open to new registrations. Click the buttons below to register.
- 2-hour workshops are $150 each
- 4-hour workshops are $225 each
- On Demand registrants will receive access to the full recording, a downloadable set of speaker notes, and a PDH certificate after watching the recording.
2 Hour Virtual On-Demand Workshops
Best Practices for Managing, Editing, Visualizing, and Sharing Lidar in 2D and 3D
Presenter: Nicholas Giner
Author(s): Nicholas Giner, Esri
Lindsay Weitz, Esri
Although lidar data has been collected and processed for over 20 years, the global lidar market continues to rapidly expand as demand for 3D imagery in consumer, commercial, and government applicatioincreases. Federal, state, and local government agencies are acquiring lidar data for use in applications such as floodplain mapping, urban planning and design, resource and environmental management, law enforcement, natural resource exploration, archeology, and emergency response. This session will teach best practices for working with Light Detection and Ranging (lidar) data . Attendees of this session will learn lidar basics and fundamentals, as well as the best practices for managing, editing, visualizing, and sharing it in 2D and 3D. Attendees will also learn several workflows for deriving useful information products from lidar data, as well as performing 2D and 3D analysis on lidar-derived products.
Object Based Image Analysis Made Easy and Flexible
Presenter: Jarlath O'Neil-Dunne
Author(s): Jarlath O'Neil-Dunne, University of Vermont
Keith Peterson, Trimble
This workshop will provide an informative introduction to the fundamental concepts and technologies in object-based image analysis and its combination with computer vision methods, machine-learning and pixel-based operations. Attendees will use eCognition Developer to employ a comprehensive range of analysis tools utilizing diverse data sources, from medium to high resolution satellite data, very high resolution aerial and UAV imagery, GIS, lidar, radar, and even hyperspectral data.
Spreadsheet Demonstration of Analytical Photogrammetry
Presenter: Paul Pope
Author(s): Paul Pope, Global Geoinformatics Inc.
Photogrammetry is often explained by describing the collinearity condition and showing examples of final products. The intermediate steps are rarely illustrated in detail. This workshop aims to make analytical photogrammetry accessible to the layperson by using spreadsheet calculations to 1) solve for the exterior orientation parameters of a framing camera, and 2) determine the dimensions of an object using stereo imagery.
Using USGS/ASPRS Data Quality Measure (DM) Software for Validation of Airborne Lidar Point Clouds
Presenter: Barry Miller
Author(s): Barry Miller, USGS
Ajit Sampath, USGS
This workshop provides an in-depth look at the USGS/ASPRS Data Quality Measure (DQM) software. DQM provides an ability to determine the relative accuracy, or geometric quality, of overlapping swaths of lidar point clouds using a point-to-plane measurement technique. DQM calculates vertical and horizontal differences between swaths in a point cloud tile, which allows better analysis of the quality of a lidar project. Attendees will see a demonstration on how to use the tool and interpret the results with several real-world examples. The workshop will also show how to obtain the software, which is a government-furnished freeware for public use.
4 Hour Virtual On-Demand Workshops
Aerial Triangulation and Data Processing for the Unmanned Aerial System (UAS)
Presenter: Dr. Qassim Abdullah, Ph.D, CP, PLS
Author(s): Qassim Abdullah, Woolpert, Inc.
Riadh Mujy, CSU Fresno
This workshop teaches participants to successfully design, plan and execute an aerial mission using unmanned aerial systems (UAS) and GPS-based aerial triangulation, including flight planning, ground control placement, camera calibration, and product generation. Participants will be introduced to mathematical basis of simultaneous bundle block adjustment. Practical examples will be presented.
Fundamentals of Image Analysis in Google Earth Engine
Presenter: Ge (Jeff) Pu
Author(s): Ge (Jeff) Pu, SUNY-ESF
Cloud-based image processing platforms like the Google Earth Engine (GEE) bring unprecedented possibilities for education, research, and outreach. This workshop will focus on an interactive exploration of GEE capabilities, the repository of all of publicly available aerial and satellite data, and user upload of imagery for analysis. The workshop will begin with a presentation of examples of GEE projects with a focus on education, undergraduate research, and outreach followed by hands-activities.
Practical Approach to Using the ASPRS Positional Accuracy Standards for Digital Geospatial Data
Presenter: Dr. Qassim Abdullah, Ph.D, CP, PLS
Author(s): Qassim Abdullah, Woolpert, Inc.
Claire Kiedrowski, Cornerstone Energy Services, Inc.
This workshop provides an in-depth look at the ASPRS Positional Accuracy Standards to categorize positional accuracy of products derived from digital aerial cameras, manned and unmanned aerial systems, and all types of lidar including terrestrial, mobile, and airborne. The workshop will explain the basis for each accuracy measure adopted in the standards. Instructors will demonstrate practical application of these standards. Attendees will apply these standards to real-world examples.
Preparation for ASPRS Certification – General Knowledge
Presenter: Robert Burtch, CP
Author(s): Robert Burtch, Ferris State University
This workshop covers the common knowledge areas comprising a large portion of exam content for ASPRS Certification. It is valuable preparation for those who have never taken an ASPRS exam, as well as for those who have expertise in a particular specialty, such as lidar or UAS, but feel less prepared for the general knowledge component of the exam. This workshop will also explain the certification application process and the importance of certification in career development.
Preparation for ASPRS Certification – Lidar
Presenter: Karl Heidemann, CMS
Author(s): Karl Heidemann, CMS, Retired USGS
This workshop provides an in-depth review of content contained in the ASPRS Airborne Topographic Lidar Manual. It is valuable for those planning to take the examination for ASPRS Certified Mapping Scientist-Lidar, Certified Technologist-Lidar, or Intern. Workshop participants will answer practice questions and discuss answers in an interactive session. The workshop is also valuable for practitioners wishing to further their mastery of the theory and practice of topographic mapping with lidar.
Total Propagated Uncertainty (TPU) and Absolute Accuracy Assessment of 3D Lidar Point Cloud
Presenter: Minsu Kim
Author(s): Minsu Kim, USGS
Total Propagated Uncertainty (TPU) is the statistical estimate of lidar positional uncertainty for each lidar point. Theoretical details of the TPU and its application to the airborne lidar data will be presented. Assessment of the 3D absolute accuracy of the lidar point cloud is an important priority in USGS 3DEP program. TPU is an important factor that affects the absolute accuracy of the lidar point cloud data. Techniques for the 3D absolute accuracy assessment using various geometric features and its inherent relationship with TPU will be discussed in the workshop.
UAS Lidar for Precision Mapping
Presenter: Dr. Mohamed Mostafa
Author(s): Mohamed Mostafa, Microdrones Canada, Inc.
Professional grade lidar systems are currently being used onboard unmanned aerial systems for high precision mapping applications. This workshop is intended for the unmanned airborne lidar user community including mapping professionals, land surveyors, managers, and decision makers to understand the underlying concepts of lidar from the technical and business perspective, in the form of theory and practice, using real data sets from around the world.