ASPRS 2012 Annual Conference

  • Increase font size
  • Default font size
  • Decrease font size



A myriad of pre-conference workshops will be offered at the ASPRS 2012 Annual Conference. The workshops will be taking place on Monday, March 19 and Tuesday, March 20, 2012. There is a separate fee to attend each workshop. This fee is not included in your registration fee.


Monday, March 19, 2012

Workshop #1 - Unmanned Aerial System (UAS) Concepts (7:45 am until 5:15 pm)
Instructor: Kevin Gambold, Unmanned Experts LLC and Stephen Rolfe, Unmanned Experts LLC
Fees (full day): Member $235, Non-Member $355, Student $125


The civilian aviation sector of unmanned aerial vehicles (UAV) and systems (UAS) is rapidly expanding, and is predicted to match the successful military application of UAVs. Recent studies have drawn up over 53 different mission types for civilian UAS, grouped into 5 mission sets of Survey, Law Enforcement, Border Patrol, Communications and Disaster Relief.
Companies are looking to this area to solve specific operational problems, using the traditional strengths of UAS over manned platforms, epitomized by the phrase ‘the 3 Ds: Dull, Dirty and Dangerous’.
This UAS Concepts Workshop was designed to provide experienced airborne photogrammetry and remote sensing operators, technologists, and scientists with an understanding of UAVs/UAS that goes beyond an introductory level, and allows them to speak knowledgeably of this area to their management, customers, and peers.
This day-long instructional program includes:

  • Overview; UAS Terminology and Classification; UAS Roles and Mission Sets
  • Control Systems; Data Links; Hardware
  • Payloads: EO/IR/LLTV/SAR/GMTI/Hyperspectral
  • Concept of Operations; Launch Recovery Systems; Communications
  • Deployment Considerations; Future Employment of UAS

Our instructors have extensive operational UAS experience and have delivered leading-edge UAS training materials to an wide spectrum of audiences.
This course assumes that attendees have an intermediate to advanced understanding of airborne operations, and a basic understanding of photogrammetric and remote sensing principles that have their equivalents in military intelligence, surveillance, and reconnaissance (ISR) fundamentals.

Workshop #2 - Image Classification Considerations for the Development of Accurate, Detailed, and Quantitative Land Cover Map Data (7:45 am until 5:15 pm)
Instructor: Kenneth Stumpf and John Koltun, Geographic Resource Solutions
Fees (full day): Member $235, Non-Member $355, Student $125

This workshop is designed as a workflow that takes participants through the different stages of an image classification land cover mapping (data development) project while identifying problems, issues, and concerns and comparing and contrasting traditional and alternative techniques.  The workshop is built around the four major parts of GRS's Discrete Classification Methodology used for our Image Classification Projects - Data Acquisition and Preparation, Image Classification, Pixel to Polygon Conversion, and Accuracy Assessment.  Workshop examples are based on actual project results from efforts in California, the Pacific Northwest, and Alaska.

Data Acquisition and Preparation - The instructors present issues, problems, concerns, and alternative perspectives regarding image procurement; terrain-sensitive illumination correction; implementation of GIS and database capabilities to minimize planning and field data collection efforts, while maximizing results; and image classification strategies and methods.  The workshop includes crucial GPS issues for aerial/field data gathering efforts; use of data-loggers to standardize data collection and guide field efforts; advantages of and techniques for quantitative data collection; the use of in-situ classifications to monitor field progress; and field data verification techniques.  

Image Classification - The workshop agenda then progresses into a discussion of image training and classification issues, expanding on an alternative treatment of cover characteristics and class data to maintain land cover detail information at the pixel level; techniques for the resolution of confusion; and development of a final pixel map.  

Pixel to Polygon Conversion - For those concerned with developing vector data from the pixel data set, GRS discusses traditional pixel-cleanup techniques such as segmentation and pixel filtering.  GRS then presents an alternative methodology for the development of polygon data (that meet minimum mapping unit area criteria) by means of rule-based aggregation processes designed to improve land cover mapping results.  

Accuracy Assessment - The workshop wraps up with a discussion of Accuracy Assessment procedures followed by a “Questions and Answers” session.   Accuracy assessment includes a discussion of field sample design, Error Matrices, and biases that must be avoided during an accuracy assessment.

I.    Introduction
A.    Traditional Image Classification, Output, and Alternatives
1.    Categorical map data
2.    Quantitative map data
B.    An alternative classification methodology
C.    Comparison of classification data products
II.    An Alternative Land Cover Mapping Approach
A.    Data Acquisition and Preparation
1.    Procurement Considerations
2.    Illumination Normalization
3.    Training Site Selection
4.    Quantitative “Ground-truth” - Field Data Collection
B.    Image Classification
1.    Training Set Development
2.    Classification
a)    Supervised
b)    Unsupervised
3.    Identification and Resolution of Confusion
a)    Confusion Report
b)    Fidelity Testing and Report
c)    Winter Imagery
C.    Rule-based Pixel Aggregation to Polygons
1.    Mathematical Filtering
2.    Rule-based Aggregation
D.    Accuracy Assessment
1.    Error Matrices
2.    Sources of Bias
III.    Summary
A.    The Land Cover Mapping Strategy
B.    Questions

Workshop #3 - Hyperspectral Image Processing and Feature Extraction: Maximizing Geospatial Information Retrieval (7:45 am until 5:15 pm)
Instructor: William Farrand, Space Science Institute, and Stuart Blundell, Overwatch Geospatial, Ltd.

Fees (full day): Member $235, Non-Member $355, Student $125

Imaging spectrometry, commonly referred to as hyperspectral remote sensing, provides high-resolution spectral information for environmental, natural resources, and urban characterization projects.  Hyperspectral image processing approaches can also be applied to new, high-resolution, broadband multispectral imagery obtained from commercial satellites such as WorldView-2.  The workshop will demonstrate how results from these analyses can be used to enhance automated feature extraction techniques.  In this workshop, we will provide students with an introduction to the phenomenology of imaging spectrometry, hyperspectral image processing techniques, and feature extraction approaches to demonstrate how to add value to the maintenance of geospatial databases.  We will emphasize that the added value in imaging spectrometry is on the spectrometry, the ability to identify materials based on their reflectance signatures.   We will briefly discuss the phenomenology of reflectance spectrometry and explain why some materials are more amenable to mapping than others.  We will describe commercially available processing systems that are available for processing hyperspectral and multispectral data and discuss the processing techniques within those packages.  Certain processing techniques are better suited to certain applications.  We will explain why this is so.  We will also discuss some of the advantages and shortcomings of current airborne and orbital hyperspectral systems as well as planned systems.

Hyperspectral imagery provides users with discrete spectral, and consequently compositional, information about Earth surface materials. The ability to integrate other types of geologic, geochemical, biologic, or hydrologic data with information from hyperspectral data improves the interpretation and mapping process.  The student will be introduced to the concepts of developing feature extraction models for assisted and automated feature extraction approaches using hyperspectral, Lidar, DEMs and multispectral data.  We will provide real-world examples of how end products, derived from hyperspectral and multispectral data processing, including resultant mineral and vegetation species maps, can be extracted using commercial feature extraction software.

We will provide a package of materials to the students that will include hard copies of the material presented and an extensive list of references on the topics addressed.  We will engage the class with an in-class exercise and several “take-home” hands-on exercises.  

Topics to be addressed

  1. Define imaging spectrometry (hyperspectral remote sensing)
  2. The phenomenology of reflectance spectrometry
  3. Object recognition and feature extraction using Spatial and Spectral Attributes
  4. Commercially available hyperspectral imaging (HSI) software packages
  5. Processing techniques for applications of HSI and MSI (demonstration)
  6. Feature extraction strategies using HSI, LIDAR and MSI datasets
  7. Descriptions of available and soon-to-be available hyperspectral systems
  8. Exercises
  9. Case studies
  10. Summary and final discussion

Workshop #4 - Vegetation Analysis and Moisture Content Assessment in Urban Areas Using Remote Sensing Data (7:45 am until 12:30 pm)
Instructor: Dr. Indu Jeyachandran
Fees (half-day): Member $180, Non-Member $280, Student $90

This half-a-day workshop explores the use of remote sensing data (Landsat data) for a range of urban applications. The workshop aims at educating the audience to compute remote sensing based indices such as Normalized Difference Vegetation Index, Moisture Stress Index (MSI), Enhanced Vegetation Index (EVI), Simple Ratio Index (SRI) and Normalized Difference Water Index (NDWI). Using the indices, an exercise will be performed in the workshop to assess the vegetation health, moisture content and identify urban sites with water stress in a study area. Also the users will get hands on experience in calculating the vegetated fraction from remote sensing data. A simple example to demonstrate the use of fractional vegetation cover in calculating the irrigation demand of a study area will be illustrated in the workshop.  The objective of the workshop is to expose the users to the applications of remote sensing data in urban areas.

Workshop #5 - Calibrating Film and Digital Sensors for Today’s Geo-Spatial Business (7:45 am until 12:30 pm)
Instructor: Dr. Qassim Abdullah, Fugro EarthData, Inc and Don Light, CP, Rochester Institute of Technology
Fees (half-day): Member $180, Non-Member $280, Student $90

The workshop introduces important topics related to the calibration process of film and digital sensors including the Mathematics and techniques for data acquisition.

Among the topics are:

  1. What is camera calibration and why is it necessary?
  2. An overview of different architectures for digital sensors and their geometry;
  3. Procedures and mathematical models employed in calibrating digital sensors;
  4. Self calibration techniques as practiced today in the aerial imaging industry;
  5. Design and  illustration of indoor and in situ calibration fields;
  6. Typical sensor calibration reports;
  7. Agencies and companies providing sensor calibration;
  8. Commercially available software for sensor calibration.

Workshop #6 - Principles and Practice of Synthetic Aperture Radar (12:45 pm until 5:15 pm)
Instructor: Dr. Don Atwood, ASF Chief Scientist, University of Alaska Fairbanks
Fees (half-day): Member $180, Non-Member $280, Student $90

Synthetic Aperture Radar (SAR) data is becoming increasingly available with the launches of Radarsat-2, TanDEM-X, COSMO-SkyMed, and the impending launch of ESA’s Sentinel-1. Besides the obvious advantage of providing imagery day/night and independent of weather, SAR is being used for a wide variety of applications. It can be used to measure surface elevation, biomass, tree height, subsidence, seismic motion, freeze/thaw, soil moisture, glacier motion, and sea ice tracking. This course will introduce the student to the fundamental concepts behind SAR and Interferometric SAR (InSAR). With an intuitive grasp of how SAR images are processed, the student will be exposed to a range of practical applications. Students will be asked to bring a computer in order to terrain-correct SAR data in preparation for GIS. To maximize the benefits of this course, participants should have previous experience with GIS and remotely sensed data.   

I.  Introduction
II. A Historical Review of RADAR
III. The electromagnetism of RADAR
A.    Frequencies, wavelengths, and bands
B.    Phase and amplitude
C.    Coherent Signals
IV. Creating the synthetic aperture from a moving platform
V. SAR image formation
VI. Image interpretation
A.    Target interactions
B.    Layover, foreshortening, and shadow
VII. Class Exercise: Producing a GIS-ready image
VIII. Interferometry: Utilizing the SAR phase
IX. Selected examples for GIS
X. Becoming a SAR user.

Workshop #7 - Digital Terrain Models – Algorithms and Mathematical Procedures (12:45 pm until 5:15 pm)
Instructor: Yaron Felus, PhD, PS, Survey of Israel and the Technion – Israel Institute of Technology
Fees (half-day): Member $180, Non-Member $280, Student $90

In order to maximize the benefits of this  workshop, participants should have an understanding of fundamental GIS principles. Moreover, basic knowledge of math, statistics and geometry is strongly suggested.

The primary objective of this workshop is to present algorithms and techniques to create, analyze, and utilize Digital Terrain Models (DTM). Basic spatial data structures such as Delaunay triangulation, Voronoi diagram, and Quadtrees will be described. Mathematical procedures for interpolation such as linear, trend estimation, inverse distance and Kriging, will be studied using numerical examples.  Finally, advanced methods for DTM visualization, analysis and integration such as contouring, 3D scene creation, drainage network, viewshed, and watershed delineation, and co-Kriging will be presented.
I. Introduction
II. Spatial data structures:
Vector data
A.    Introduction to spatial tessellation
B.    Definition of Triangulation, the Delaunay Triangulation (DT) properties
(circum-circle criterion)
C.    Incremental and static algorithms for DT construction (example)
D.    Triangulation with break lines – constrained triangulation
E.    Voronoi diagram, definition and construction procedure – (optional)
Grid or raster data
A.    Image pyramid
B.    Quadtrees: algorithms, advantages, disadvantages, example - (optional)  
III. Mathematical procedures for interpolation
A.    Statistical thinking, mean, median and variance analysis of spatial data
B.    Concept of proximity
C.    Inverse distance interpolation  (example)
D.    Trend estimation (example)
E.    Linear interpolation using DT  (example)
F.    Kriging, variogram estimation, and prediction. (example)
G.    Interpolation techniques pros and cons
IV. DTM visualization techniques
A.    Contouring procedures (The Level Curve Tracing contouring Algorithm)
B.    Shaded relief maps
C.    Advanced visualization methods (3D scenes, and flythrough movies).
V. DTM products or data fusion techniques (as will be determined by the workshop attendees)
A.    Computing slope and aspect using GRID and TIN DEM. (example)
B.    Calculating line of sight, and viewshed modeling (example)
C.    Drainage analysis, and watershed modeling (example)
A.    Data fusion methods.
B.    Co-Kriging.

Tuesday, March 20, 2012


Workshop #8 - Image Geometric Correction: An Extensive Approach (7:45 am until 5:15 pm)
Instructor: Álvaro Burgos, University of Costa Rica and National University – Costa Rica
Fees (full day): Member $235, Non-Member $355, Student $125

This full day workshop is intended for advanced students interested in image processing tasks. The main objectives are: provide thorough explanation how remotely sensed imagery can be transformed to approximate map geometry, and secondly showing that a process most of the time carried out with a “black box” can be applied with simpler tools. No commercial image processing software is used.  Image coordinates are read using Multispec, developed at Purdue University.  Printed maps combined with rulers, pencil, eraser and paper sheets are used to register map coordinates. Transformation parameters are calculated using a spread sheet.  Geometrically corrected images and positional error distribution assessment over the image are obtained using the ANIMA image processing system developed at the Center for Geophysical Research, University of Costa Rica. ANIMA programs should be executed from the operating system prompt of the Microsoft Windows environment. The workshop includes: theoretical aspects regarding geometric transformation, sub scene extraction from historical Landsat Thematic Mapper data, ground control point coordinate readings on both, image and cartographic space, transformation parameters determination using a spread sheet program, image transformation, positional error images and numerical and graphical results are assessed, geometrically corrected images are displayed as well as the images portraying estimated positional errors over the remotely sensed image, final discussion among participants about the relevance of the workshop.

Attendees are encouraged to bring their own laptops to this workshop for some hands on work during the workshop.  The laptop should run under the Microsoft Windows XP Operating system at 32 bit. The program to rectify images is a 16 bit program, and was produced to work with personal computers running under the old MS-DOS V. 6.2.  Consequently, in PC's with the Windows XP OS, the program should be executed from the system prompt.  Also, please bring the following for your use: pencil, eraser, pencil sharpener,  scalimeter or ruler with scale in the metric system, and sheets of paper.

Workshop #9 - Airborne GPS and Inertia in Support of Triangulation and Orientation of Airborne Framing and Push Broom Sensors (7:45 am until 5:15 pm)
Instructor: Dr. Qassim Abdullah, Fugro EarthData Inc. and Dr. Riadh Munjy, California State University - Fresno
Fees (full day): Member $235, Non-Member $355, Student $125

Introduction to GPS- and IMU-controlled AT

  • Objective
  • Benefits

Fundamentals of an airborne GPS and IMU integrated system

  • Operational principles and requirements of a GPS system
  • Operational principles and requirements of an IMU system

Functional system design and requirements for an airborne GPS/IMU Integrated photogrammetric system

  • Geometric integration of airborne sensors
  • Electronic integration of airborne sensors
  • System calibration

Flight design and control criteria for successful airborne GPS-controlled missions for framing cameras (analog or digital)

  • Flight configuration
  • Ground control configuration

Incorporating airborne GPS and IMU data in the mathematical model for bundle adjustment of AT blocks

  • Incorporating airborne GPS data
  • Incorporating airborne IMU data

Fundamental of the push broom digital photography, the ADS40 case

  • Image formation with ADS40 push broom digital aerial camera
  • Image characteristics at various processing levels

Flight design and control criteria for successful airborne GPS-controlled missions for push broom digital camera (ADS40)

  • Flight configuration
  • Ground control configuration

Processing flow for bundle adjustment of imagery from frame and push broom cameras

  • Input data requirements
  • Systematic error corrections
  • Data analysis

Practical results and the status of airborne GPS and IMU-controlled aerial-triangulation in production today.

Workshop #10 - Object Oriented Image Classification:  From Feature Extraction to Land Cover Mapping (7:45 am until 12:30 pm)
Instructor: Ms. Kass Green, Kass Green & Associates and Dr. Russell Congalton, University of New Hampshire
Fees (half-day): Member $180, Non-Member $280, Student $90

This workshop introduces attendees to object oriented image classification.  Unlike per pixel classifiers which rely only on the spectral characteristics of a feature, object oriented classifiers are capable of utilizing all feature characteristics including color, tone, texture, shape, height, and context.  While powerful in the classification of moderate resolution data (e.g. Landsat), object oriented classification is pivotal for using  high resolution (e.g. NAIP and commercial satellite imagery),  because of the imagery’s mixture of shadow and illuminated features,  and the need to group pixels together to map land use land  classes (e.g. a suburb or a forest) instead of individual features such as single trees. With the recent explosion in availability of high resolution imagery, knowledge of object oriented image classification is critical to map users and producers alike.

Topics covered by the course include:

  1. A brief summary of the basic concepts of image classification – common constructs of photo interpretation, per pixel classification and object oriented classification
  2. Objects verses per pixel classification – when to use what
  3. Principles of object (segment) creation – what’s inside the black box
  4. Approaches to labeling objects including hierarchical, expert rule, and Classification and Regression Tree (CART) methods.
  5. Special considerations for the accuracy assessment of maps created from object oriented classifications.
  6. Overview and comparison of object oriented COTS software and tools.

Real life case studies will be interspersed throughout the workshop and will include using object oriented classification to map

  • General land cover and land use for urban water run-off management
  • Detailed vegetation associations of Grand Canyon National Park, and
  • Benthic habitat and propeller scars in the Gulf of Mexico.

Workshop participants currently using object oriented classification are encouraged to discuss their projects and be prepared for a lively discussion on the pros and cons of different approaches.

Workshop #11 - Looking Above the Terrain: Lidar for Vegetation Assessment (7:45 am until 12:30 pm)
Instructor: Dr. Sorin C. Popescu, Texas A&M University
Fees (half-day): Member $180, Non-Member $280, Student $90

The participants are expected to have a basic understanding of remote sensing techniques and image processing. The overall goal of this half-day workshop is to introduce participants to lidar concepts, processing techniques, and applications for deriving information on forest vegetation resources and canopy parameters. More specific objectives are to: (1) familiarize participants with basic laser ranging concepts and lidar data structure; (2) introduce types of lidar sensors for forest vegetation assessment – discrete-return, waveform encoding, flash lidar, etc., on ground-based, airborne, and satellite platforms; (3) the LAS lidar data format; (4) review algorithms for deriving information on terrain elevation and canopy height models; (5) introduce the concept of “multi-band” lidar height bins generated using lidar point cloud data; (6) review processing techniques for analyzing forest structure and deriving vegetation information at individual tree, plot, and stand level; (7) introduce participants to TreeVaW, a lidar processing software for identifying and measuring individual trees on lidar-derived canopy height models, and other software resources; and (8) present a comparison of forest structure metrics obtained by processing ICESat waveform data and spatially coincident discrete-return airborne lidar and ground-based laser scanner data of forest vegetation.

Workshop content can be summarized as follows:

Types of Lidar Sensors. Why Use Lasers for Range Finding?

  1. The LAS Lidar Data Exchange Format.
  2. Full Waveform vs. Discrete-returns, Small Footprint vs. Large Footprint Lidar; Lidar waveforms vs. pseudo-waveforms. Scientific Visualization of Lidar Data.
  3. Approaches to Lidar Processing for Deriving Terrain Elevation and Assessing Forest Vegetation: Lidar Discrete Points or Interpolated Surfaces?
  4. Seeing the Trees in the Forest: Direct Lidar Measurements at Individual Tree Level – Tree Height, Crown Diameter, Crown Base Height, and Stand Density.
  5. TreeVaW: An Automated Software Application using Adaptive Filtering to Locate and Measure Individual Trees in Complex Canopy Structures; Other software resources.
  6. Lidar-Derived Biophysical Parameters: Volume, Biomass, Percent Canopy Cover, Leaf Area Index, and Forest Fuel Models; Assessing Risk of Insect Damage; Lidar-multispectral Fused Imagery.

Workshop #12 - Photogrammetric Processing: Surface Model and Orthophotograph Workshop (7:45 am until 12:30 pm)
Instructor: Jennifer Nix and Jon Proctor, DigitalGlobe Inc.
Fees (half-day): Member $180, Non-Member $280, Student $90

The purpose of this new workshop is to walk the audience through the entire photogrammetric process of creating surface models all the way though the creation of Orthophotography. We will begin with the simple review of stereo imagery. Creating optimal stereo is easy once the three major stereo angles (Convergence Angle, Asymmetry Angle, and Bisector Elevation Angle) are acquired within a specified tolerance. We will show and describe each of the three stereo angles. We will also discuss the affect of going outside the angle tolerance does to the parallax and accuracy of the end product. Next we will review the importance of an accurate and successful triangulation report and how that applies to both surface modeling and the final Orthophoto. Once the stereo mates and an ample triangulation solution have been identified, an accurate Digital Elevation Model, Digital Terrain Model, Digital Surface Model, feature extractions, and 3D models can be created. We will discuss post spacing, contour intervals, and basic terrain enhancing techniques to aid in the rectification of the imagery. The end user will leave the workshop knowing the differences between Digital Elevation Models, Digital Terrain Models, and Digital Surface Models. We will talk about the pros and cons of each and how they apply to creating a successful and accurate orthophoto. We will also discuss quality assurance, quality control, and troubleshooting techniques if areas need to be corrected. Each photogrammetric process will be described at a beginning to an intermediate level. The audience member should have some familiarity with the photogrammetric process. Many examples will be given to help emphasize and help visualize the photogrammetric process. The audience will be encouraged to share their successes and lessons learned in their own Modeling and Orthophoto experience.

Workshop #13 - Developing Geographic Data Visualization Tools in an Open Source Environment (12:30 pm until 5:15 pm)
Instructor: Kevin Koy and Brian Galey, UC Berkeley, Geospatial Innovation Facility
Fees (half-day): Member $180, Non-Member $280, Student $90

This workshop will introduce participants to the process of developing web applications to visualize geographic data.  There are many considerations that one must make today if they are to consider making data available through an online web mapping resource.  We will walk through the steps to consider, and introduce several free and open source software options that are available to aid the process, including both conceptual and technical considerations.  Presentation topics to include:

Conceptual considerations - We will explore the following topics, including a variety of examples from different sites around the web:

  • Understanding your audience.  It is critical to establish who the tools will be designed for, general public, decision makers, technicians, experts, or all of the above.  Development will be greatly shaped depending on your intended user’s level of understanding and needs.
  • Understanding your data.  What are the critical elements within your data that you are trying to communicate?
  • Understanding interactive capabilities.  What type of functionality should a user have available to effectively interact with your data?
  • Utilizing feedback.  What options are available for testing your products and refining design based on user feedback?

Technical considerations - We will explore the following topics, including quick tours of an open source software stack for web applications:

  • Server Configurations.  What options are available to store your geospatial data and provide access through consumable web services?
  • Visualizations.  What options are available to create interactive map based visualizations?
  • Query and Analysis.   In what ways can you provide users with the ability to actively query and analyze your data online?

Workshop #14 - Advanced Thematic Accuracy Assessment (12:30 pm until 5:15 pm)
Instructor: Dr. Russell G. Congalton, Professor, University of New Hampshire and Kass Green, President, Kass Green and Associates
Fees (half-day): Member $180, Non-Member $280, Student $90

This workshop is for those that have already performed one or more thematic accuracy assessments and/or have taken the Introductory Workshop on Assessing the Accuracy of GIS Information Created from Remotely Sensed Data.  This workshop focuses on going beyond the basic principles and practices of thematic accuracy assessment.  The workshop will begin with a brief review and then quickly switch focus to a discussion of the issues related to sample design considerations including sample unit, sample size, and sampling scheme and reference data collection issues.  Analysis of the error matrix will be demonstrated by use of the software to compute both Margfit and Kappa.  Each participant will leave with a copy of this software.  Finally, development and use of the fuzzy error matrix will be presented and discussed.  Example case studies will be used to demonstrate the appropriate considerations and issues throughout the workshop.  Each participant should come prepared with questions and issues from their own work to share with the group and explore together.

I.  Introduction
II. A Review of the Basics
A. Positional Accuracy
B. Thematic Accuracy
1. The Error Matrix
III. Advanced Sample Design Considerations
A. Common Issues
B. Creative Solutions
C. Must Document
IV.  Issues in Reference Data Collection
A.    Trade-offs with Sources
B.    Collection Methods
C.    Efficiencies
D.    Objectivity and Bias
V. Demonstrating Analysis Techniques
A. Kappa
B. Margfit
VI. Fuzzy Accuracy Assessment
A. Motivation
B. Methodology
VI. Conclusions

Workshop #15 - LiDAR Waveform: The Potential and Benefits for Topographic Mapping (12:45 pm until 5:15 pm)
Instructor: Charles K. Toth, PhD, Center for Mapping, The Ohio State University and Nora Csanyi May, PhD, Fugro EarthData, Inc.
Fees (half-day): Member $180, Non-Member $280, Student $90

In general, people are involved in all aspects of LiDAR. The proposed workshop is primarily beneficial to LiDAR data providers, both who have already started to look into full waveform applications or those who are just about to explore this emerging technology. In addition, government program managers and decision-makers should also find this workshop valuable.

This workshop will provide an introduction to LiDAR waveform data concepts and processing. Participants are expected to have basic understanding of LiDAR technology. The structure of this workshop will be the following:

1.    Introduction to LiDAR waveform data
a.    What is LiDAR waveform data?
b.    Short history on the evolution of waveform data
c.    The characterization of waveform data
2.    Acquiring LiDAR waveform data
a.    Large footprint systems
b.    Small footprint pulsed LiDAR systems
3.    Real-time processing of LiDAR waveform data
a.    Return and intensity signal detection (advantage/disadvantage of waveform vs. discrete returns)
b.    Compression of LiDAR waveform data
c.    Storing LiDAR waveform data
4.    Post-processing of LiDAR waveform data
a.    General analysis of waveform data; typical waveforms
b.    Already existing applications using LiDAR waveform data
c.    Emerging applications, including land-cover (object) classification, better error characterization, etc.
5.    Summary and future trends
a.    Existing systems
b.    Outlook on market developments

You are here: Home Program Workshops