The NEW ASPRS Annual Conference

IGTF 2015 - Imaging & Geospatial Technology Forum

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ASPRS will hold pre-conference workshops at the IGTF 2015 - ASPRS Annual Conference on Monday, May 4th and Tuesday, May 5th. Descriptions for each of the available workshops may be found below.

There are seperate fees to attend the pre-conference workshops and you may register for the workshops within the online registration process. 
All workshop fees are listed at the bottom of this web page.

Please click on the following hyperlinked titles for individual workshop descriptions.

The following descriptions are for workshops being held on Monday, May 4th:

Lidar for Terrain and Vegetation Mapping

Date: Monday, May 4        
Time: Full Day, 7:45 am - 5:15 pm
    *Lunch is included with the workshop registration fee for this workshop.
CEUs: 0.8

Instructor: Qi Chen, University of Hawaii at Manoa
Level: Intermediate


This workshop aims to introduce the basic concepts of Lidar, the popular and innovative methods for Lidar data processing and information extraction, with a focus on terrain mapping and forest studies.

Attendees can expect to take away the following principles:
1) the principles of Lidar systems,
2) the typical Lidar systems, sensors, software, data, and applications,
3) the general procedure for processing airborne lidar data,
4) the popular and innovative methods for Lidar data filtering and terrain mapping for both urban and vegetated areas,
5) an overview of methods for extracting forest information at the stand and individual-tree levels,
6) an introduction of ground-based Lidar,
7) the application of satellite GLAS data for forest mapping, and
8) the remaining challenges of Lidar data processing and the advices of finishing your Lidar projects.    

The layout of the workshop is as follows:  
I.    Introduction: Principle of lidar: discrete-return vs. waveform lidar;  LiDAR platforms; Current developments of lidar and applications.  
II.    Airborne LiDAR Systems, Sensors and Data Formats: Key concepts of airborne LiDAR systems; ASCII format vs. .LAS binary format  
III.    The General Procedure of LiDAR Data Processing and Information Extraction  
IV.    Filtering Point Cloud for Bare Earth Generation: Slope-based methods;  Surface fitting methods; Morphological methods  
V.    Mapping 3D Vegetation Structure: Individual-tree information extraction;  Stand-level forest information extraction; Data fusion with optical imagery; Discussions of airborne LiDAR data for regional forest inventory  
VI.    Ground-based LiDAR  
VII.    Satellite LiDAR (GLAS: Geoscience Laser Altimeter System): Introduction to GLAS; Elevation retrieval from GLAS; Regional and global-scale forest mapping with GLAS  
VIII.    Tiffs: A Toolbox for LiDAR Data Filtering and Forest Studies
IX.    Application 1: Mapping canopy characteristics for fire risk analysis:  Isolating individual trees; Classifying individual tree species; Estimating individual tree trunk height; A novel approach for mapping canopy bulk density  
X.    Application 2: Mapping forest biomass and carbon: Allometric methods; Statistical Modeling (parametric vs. non-parametric); Uncertainty Analysis

About Your Workshop Instructor
Dr. Qi Chen is an Associate Professor in the Department of Geography at the University of Hawaii at Manoa. Dr. Chen had his B.S. (1998) and M.S. (2001) in Geography from Nanjing University and Ph.D. (2007) in environmental science from UC, Berkeley. Dr. Chen has more than 10 years research experience in lidar remote sensing and has published extensively in the use of both airborne and satellite lidar for vegetation and terrain mapping. Prospective audience is encouraged to read his research work to gain the most out of the workshop. Dr. Chen has given similar workshops in ASPRS (2007, 2013), IGARSS (2010), US-IALE (2009), and EORSA (2014) conferences.

Preparing for ASPRS Certification

Date: Monday, May 4        
Time: Full Day, 7:45 am - 5:15 pm
    *Lunch is included with the workshop registration fee for this workshop.
CEUs: 0.8

Instructor(s): Robert Burtch, Ferris State University    
Workshop Level: Intermediate

This workshop assumes participants have subject knowledge and are serious about taking the Certification Exam. The purpose of this workshop is to prepare individuals who are planning to sit for the ASPRS Certification exams as a Certified Photogrammetrist or Certified Mapping Scientist in either Remote Sensing or GIS. The workshop will begin by explaining the purpose and form of the exam. It will then identify key topical areas that an applicant should be aware of prior to taking the exam. Topics will start with a review of the basic concepts and sample questions to show how they will be tested for on the exam. Finally, the workshop will try to identify resources which exam takers should be aware of and study from in their preparation for the examination.

I. Purpose of the Exam
    A. Role of the exam in the certification process
    B. Format of the exam
    C. Topical areas covered on each of the three different exams
II. Geodesy/Surveying
    A. Principles of state plane coordinates
    B. Surveying Technologies
    C. Resources for further study
III. Photogrammetry
    A. Important principles
    B. Review questions
    C. Resources for further study
IV. Remote Sensing
    A. Important principles
    B. Review questions
    C. Resources for further study
V. Geographic Information Systems
    A. Important principles
    B. Review questions
    C. Resources for further study
VI. Other topical areas of importance in preparation for the exam

About Your Workshop Instructor
Robert Burtch is a professor emeritus at Ferris State University where he taught in the Surveying Engineering program for 33 years where he taught courses in photogrammetry, remote sensing and GIS, along with courses in surveying as required.  He is a Certified Photogrammetrist and Professional Surveyor in Michigan.  He is a past president of the Michigan Society of Professional Surveyors (MSPS) and the Land Information Exchange (mLINX).  For over 20 years Bob has been involved in the ASPRS Certification Committee and served as a peer reviewer in the photogrammetry sub-committee.  He has been involved in a number of other committees with numerous professional organizations.

Hyperspectral and Extended Multispectral Remote Sensing: Phenomenology, Sensor Systems, and Data Processing

Date: Monday, May 4        
Time: Half Day, morning, 7:45 am - 12:15 pm
CEUs: 0.4

 Instructor: William Farrand, Farr View Consulting  
Workshop Level: Intermediate

Satellite multispectral data can be examined more fruitfully from the perspective of hyperspectral data. Hyperspectral datasets provide full spectral resolution over the wavelength range of interest so that diagnostic absorption features of Earth surface materials can be uniquely identified.  Extended multispectral systems such as ASTER and WorldView-3 provide multiple spectral bands in the visible and near infrared and shortwave infrared allowing for the detection of many materials with absorption features that are sampled by those bands.

This workshop provides an introduction to the phenomenology of hyperspectral remote sensing putting an emphasis on the physics of the radiometry and spectrometry involved. The causes of absorption features in Earth surface materials will be discussed as will the role of the atmosphere in modulating the observed signal. Hyperspectral and extended multispectral data collection systems will be discussed.

Finally, an introduction to data processing methods based on the mapping of spectral features and the utilization of spectral shape will be provided. These include spectral feature fitting, spectral matching approaches and spectral mixture analysis.    

Topics to be addressed:  
1.    Definitions of hyperspectral and extended multispectral remote sensing  
2.    The phenomenology of reflectance and emission spectrometry  
3.    Hyperspectral and extended multispectral sensor system architectures  
4.    Hyperspectral and extended multispectral processing techniques and approaches  
5.    Examples of application areas.    

Who Should Participate:  
This half day workshop is intended for users of multi- or hyperspectral remote sensing data.  This includes analysts who may have used multispectral data or some other form of remote sensing data and are now interested in using hyperspectral or extended multispectral data in their work.  This workshop is also appropriate for managers who must make decisions about what kind of remote sensing data to purchase for their projects and/or what kind of multi- or hyperspectral image processing software that they should purchase.  This workshop will provide an introduction to the power of hyperspectral and extended multispectral data in remote sensing projects.

About Your Workshop Instructor
Bill Farrand is a senior research scientist at the Space Science Institute in Boulder, Colorado and is the principal of Farr View Consulting. He has a B.A. in Geology from Franklin & Marshall College and a M.S. and Ph.D. in the Geosciences from the University of Arizona. He has worked extensively in terrestrial remote sensing as well as in the field of planetary science. In the terrestrial remote sensing field, Dr. Farrand has worked extensively with data from airborne hyperspectral remote sensing systems for both commercial and government programs. These terrestrial remote sensing projects have included the assessment of acid mine drainage associated with mineralized areas in southwest Colorado, a multi-agency abandoned mine lands study in Utah, and a Department of Energy remote sensing mission to Kazakhstan.

Dr. Farrand has been a Participating Scientist on NASA's Mars Exploration Rover (MER) Mission since 2002 and has worked extensively with Pancam data from both rovers looking at the multispectral reflectance properties of rocks at both Gusev Crater and Meridiani Planum. Dr. Farrand has also worked on several Mars Data Analysis and Mars Fundamental Research Program investigations involving the use of orbital hyperspectral data from the CRISM sensor and comparisons of Mars spectral units to terrestrial analogs. He is also the Principal Investigator of a study utilizing hyperspectral data from the HICO sensor on the International Space Station.


Current Status of Earth Observation Using Synthetic Aperture Radar (SAR), and SAR Data of Fine Resolution

Date: Monday, May 4        
Time: Half Day, Afternoon, 12:45 pm – 5:15 pm
CEUs: 0.4

Instructor(s): Yong Wang, East Carolina University, Department of Geography, Planning, and Environment    
Workshop Level: Intermediate

Today, there are many successful studies in which SAR data are used as the primary data sources. Example include the global/national landuse and land cover, national land survey, agriculture, forestry, fishery, resource exploitation, environmental protection and monitoring, disaster prevention and mitigation, and national security. Therefore, the objectives of the workshop are to overview the current status of Earth observation using SAR, and to study fine spatial resolution dataset that is one of unique features of modern SAR sensors. In-depth discussion on validity and approximation of traditional radar equation is given.

The course outline is  
1.    Current status in technology and configuration of SAR systems (2.5 hrs.)  
2.    Validity and modification of the stop-and-go assumption of the traditional radar equation for fine resolution data (1.5 hr.)  

About Your Workshop Instructor
Wang obtained his B.Sc. in electric engineering from Northwestern Polytechnic University of China, and Ph.D. degree from University of California at Santa Barbara, USA. He is a professor in Geography, Planning, and Environment, East Carolina University. His major research interest includes SAR application, scale and scale effect on the extraction of urban targets using SAR data, studies of responses and variations of shorelines and coastal wetlands to changes of environments and climate, and to sea level rise, retrieving forest physical parameters by radar backscatter model inversion, and image processing and analysis.

He published fifty-five refereed articles in journals belonging to the scientific citation database. Articles published since 2014 are:  Tao Xiong, Shuang Wang, Biao Hou, Yong Wang, and Hongying Liu, 2015. A resample-based SVA algorithm for sidelobe reduction of SAR/ISAR imagery with noninteger Nyquist sampling rate. IEEE Transactions on Geoscience and Remote Sensing. 53(2), 1016-1028.  Houjun Jiang, Lu Zhang, Yong Wang, and Mingsheng Liao, 2014. Fusion of high-resolution DEMs derived fromCOSMO-SkyMed and TerraSAR-X InSAR datasets. Journal of Geodesy. 88(6), 587-599.  Guangcai Sun, Mengdao Xing, Yong Wang, Jun Wang, and Zheng Bao, 2014. A 2-D space-variant chirp scaling algorithm based on the RCM equalization and subband synthesis to process geosynchronous SAR data. IEEE Transactions on Geoscience and Remote Sensing. 52(8), 4868-4880.  Xingwen Quan, Binbin He, Yong Wang, Zhi Tang, and Xing Li, 2014. An extended Fourier approach to improve the retrieved leaf area index (LAI) in a time series from an alpine wetland. Remote Sensing. 6(2), 1171-1190.  Tao Xiong, Mengdao Xing, Yong Wang, Shuang Wang, Jialian Sheng, and Liang Guo, 2014. Minimum-entropy-based autofocus algorithm for SAR data using Chebyshev approximation and method of series reversion, and its implementation into a data processor. IEEE Transactions on Geoscience and Remote Sensing. 52(3), 1719-1728.


 The following workshops will be held on Tuesday, May 5th:

Introduction to Unmanned Aerial System (UAS) Operations

Date: Tuesday, May 5        
Time: Full Day, 7:45 am - 5:15 pm
    *Lunch is included with the workshop registration fee for this workshop.
CEUs: 0.8

Instructor(s): Dave Prall, Unmanned Experts and Ed Freeborn, Unmanned Experts
Workshop Level: Intermediate

Interest in airborne remote sensing, surveying and mapping from UAS is exploding, especially as the FAA has finally released proposed rules to govern commercial UAS operation. New adopters and technology for metric-quality data production continue to be reported daily.  As UAS become operational the “How and Why” of UAS operations need to be considered as well as the “What”.

The "Introduction to UAS Operations" full-day workshop is designed to address this need with practical discussion and a focus on metric-quality UAS surveying and mapping.  Newly-revised to reflect exciting developments such as the release of the long-awaited FAA Notice of Proposed Rulemaking, and advances in the understanding of UAS photogrammetry as championed by ASPRS.   

The workshop is broken down into 4 sections:    
1.    Introduction to UAS Concepts
    Overview; UAS Terminology and Classification; UAS Roles and Mission Sets
    Concept of Operations; Launch Recovery Systems; Communications

2.    Case Studies
    Metric-quality Applications and Systems Survey
    Small UAS (SUAS) Photogrammetry, a Disruptive Technology

3.    Business Model
    Business Plan
    Operational Model
    Other Considerations

4.    Wrap-up
    Future Technology
    Art of the Possible

This course assumes that attendees have an intermediate to advanced understanding of airborne operations, and a basic understanding of photogrammetric and remote sensing principles or their equivalents in military intelligence, surveillance, and reconnaissance (ISR) fundamentals.

About Your Workshop Instructor(s)
Dave Prall, Chief Operations Officer,  Unmanned Experts    
Dave Prall joined the United States Air Force in 1987.  Stationed at the Tonopah Test Range (TTR) with the F-117 Stealth Fighter throughout the duration of Operation Desert Storm, Dave was responsible for logistical training, deployment resupply, and aircraft asset management.  

Honorably discharged in 1992, Dave began his law enforcement career as a State Trooper with the Nevada Highway Patrol in Elko, Nevada.  During his time as a State Trooper he was trained as an accident reconstructionist.  A true visionary, Dave adapted off-the-shelf CAD software for the production of forensic quality scene diagrams at a time when the agency was still producing drawings by hand.   In 1999 Dave left the Highway Patrol for a supervisory position with the Elko County Sheriff’s Office.  Here Dave served in various leadership capacities including; Shift Commander, Firearms Training Coordinator, Incident Commander, and Search and Rescue Commander, where he and his team were credited with saving the lives of at least 8 people.  

In June of 2013, Dave retired from law enforcement and is currently serving on the Board of Directors with the Unmanned Aviation for Public Safety Association (UAPSA).  Most recently, he began working with Unmanned Experts as an associate consulting on sUAS for law enforcement and related projects.  With hundreds of operational hours logged to date, Dave began building and flying RC helicopters and multirotor sUAS in 2010 and has been experimenting with vehicle, gimbal, and ground-station design as well as payload management ever since.  

Dave has always distinguished himself as a leader and a trainer in his field of choice, functioning as a professional instructor in air logistics, firearms and tactics, pre-employment background investigations, search and rescue, and many other courses of instruction.  He is now the Chief Operations Officer with UMEX and runs the daily global activities of the teams. 

Ed Freeborn, Chief Technology Officer,  Unmanned Experts    
Mr. Freeborn is the Chief Technology Officer for Unmanned Experts, an industry leader in providing professional expertise on unmanned aircraft system (UAS).  

With 25 years of experience in geospatial technology and data development, he was immediately prior a senior analyst supporting the National Law Enforcement and Corrections Technology Center, Northeast, a program of National Institute of Justice (NIJ).  From 2002 to 2009 he provided geospatial and command, control (C2), and intelligence, surveillance, and reconnaissance (ISR) technical assistance to state and local law enforcement, and joint U.S. and Canadian programs and initiatives such as Integrated Border Enforcement Teams (IBET), the Public Security Technical Program (PSTP), and the Great Lakes Observing System.     

He served as the ASPRS Central New York Region’s representative on the Society’s Board of Directors from 2002 to 2008.  The Central New York Region serves approximately 100 imaging and geospatial information professionals and students in Upstate New York, Vermont and North-Central Pennsylvania.  In his position as a National Director, he worked with his Region, ASPRS National, the Canadian Remote Sensing Society and the Canadian Aeronautics and Space Institute to develop the first national level ASPRS conference held outside the U.S. in Ottawa in 2007.   

Mr. Freeborn continues to focus on honest broker outreach to law enforcement, emergency management and public safety for the development and adoption into practice of unmanned aviation technology.  His particular areas of interest include the convergence of photogrammetry and computer vision, calibration and validation of UAS imaging systems, and the integration of UAS into public safety operations.  He also supports ASPRS UAS-related initiatives through the UAS and Primary Data Acquisition Divisions and other activities.


Object-Based Image Analysis

Date: Tuesday, May 5        
Time: Full Day, 7:45 am - 5:15 pm
    *Lunch is included with the workshop registration fee for this workshop.
CEUs: 0.8

Instructor(s): Jarlath O'Neil-Dunne, University of Vermont and Keith Pelletier, University of Minnesota
Workshop Level: Advanced

This full-day, advanced workshop is designed to help participants harness the true power of object-based image analysis (OBIA). It is recommended that participants have a strong foundation in remote sensing and GIS, and at least some exposure to OBIA.  This workshop is particularly well suited to individuals who are finding it difficult to extract information from the latest generation of high-resolution imaging and LiDAR sensors using OBIA techniques.

Specific emphasis in this workshop will be paid to moving beyond the standard segment and classify approach that is typically employed in most OBIA projects, to an iterative workflow that better mimics the type of mapping carried out by human analysts by fully incorporating the spectral, geometric, and contextual information present in an image.  Through a series of lectures, demonstrations, and hands-on exercises, participants will be exposed to the methods that will enable them to build effective and efficient OBIA routines.  

The workshop will be divided into four parts.  
1.    In the first part, the theoretical foundation for the effective application of OBIA technology will be laid out by drawing from the remote sensing, neurobiology, and cognitive sciences literature.  This will be followed by a review of the current approaches to OBIA, with particular attention to some of the pitfalls that often prevent OBIA technology from being applied to its full potential.  
2.    The second part will focus on effective approaches to and best practices for object-based feature extraction, including a thorough review of segmentation algorithms.  
3.    The third part will cover more advanced topics, including:
     1) image object fusion,
     2) pattern recognition,
     3) morphological routines, and
     4) context-based classification.   
4.    The workshop will conclude with recommendations on how to design and deploy enterprise OBIA systems capable of processing of datasets containing billions of pixels.  

Demonstrations and exercises will make use of a broad range of remotely sensed (e.g. imagery and LiDAR) datasets and will demonstrate how remotely sensed and thematic datasets can be integrated in an OBIA context.

Participants are encouraged to bring their own computers to use during the hands-on exercises.  OBIA software will be provided (requires Windows XP, Vista, 7, or 8).

About Your Workshop Instructor
Jarlath O’Neil-Dunne is the Director of the University of Vermont’s (UVM) Spatial Analysis Laboratory (SAL).  He has over 15 years' experience with GIS and remote sensing and is recognized as a leading expert on the design and application of Object-Based Image Analysis Systems (OBIA) for automated feature extraction.  His team at the SAL has generated billions of pixels worth of high-resolution  data from a variety of aerial, satellite, and LiDAR sensors.  He has also built OBIA systems for the department of Department of Defense to automate the process of extracting features from SAR, LiDAR, and UAV imaging systems.

In addition to his research duties he teaches introductory and advanced courses in GIS and remote sensing using ArcGIS, ERDAS IMAGINE, eCognition, and QT Modeler.  He earned a Bachelor of Science in Forestry from the University of New Hampshire, a Masters of Science in Water Resources from the University of Vermont, and certificates in hyperspectral image exploitation and joint GIS operations from the National Geospatial Intelligence College.  He was awarded the eCognition Black Belt by Nobel Laureate Dr. Gerd Binnig.  He is a former officer in the United States Marine Corps where he held leadership positions in infantry, counterterrorism, and geospatial intelligence units.  

Keith C. Pelletier is a PhD student in the Remote Sensing and Geospatial Analysis Laboratory at the University of Minnesota. His PhD research in Natural Resources Science and Management employs  automated feature extraction techniques using optical, lidar, and field data for mapping and monitoring landscape change in Minnesota.

Mr. Pelletier has a BA in Geography and MS in Natural Resources from   the University of Vermont. Prior to joining UMN, he worked as a Geospatial Specialist in the Spatial Analysis Laboratory and lecturer in Geography at the University of Vermont where he taught cartography, remote sensing, geographic research methods and GIS.

His past geospatial efforts have used object-based image analysis techniques for generating high-resolution land cover datasets from optical and LIDAR data for tree canopy assessments, stormwater utilities, and hydrologic modeling in collaboration with Vermont’s Agency of Natural Resources, the USDA Forest Service, and USGS.


GPS–based Aerial Triangulation for Imaging Sensors Orientation

Date: Tuesday, May 5
Time: Full Day, 7:45 am - 5:15 pm
CEUs: 0.8

Instructor(s): Dr. Qassim Abdullah, Woolpert, Inc. and Dr. Riadh Munjy
Workshop Level: Intermediate

The workshop provides participants with all the necessary knowledge about how to successfully design, plan and execute an aerial mission project to support GPS-based aerial triangulation. Operational requirements and good practice guidelines of operating an airborne GPS is detailed together with guidelines on flight planning strategy and ground control distribution. Mathematical background of the process of simultaneous bundle block adjustment will be detailed and recommended parameters setting will be explained. Workflows for both frame-based cameras and push broom cameras will be detailed and discussed. Special requirements needed for project executed with UAS/UAV will be discussed in details. Participants will review results from several aerial triangulation blocks design and adjustment.

Course Outline:
Fundamentals of an airborne GPS integrated system
- Operational principles and requirements of a GPS system Functional system design and requirements for an airborne GPS 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 (analogue or digital)
- Flight configuration
- Ground control configuration

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

Flight design and special considerations for UAS-based aerial triangulation
- Increased over lap
- Less accurate GPS
- Lack of camera calibration
- 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 controlled aerial-triangulation in production today.

About Your Workshop Instructor(s):

Dr. Qassim Abdullah is an accomplished scientist with more than 37 years of combined industrial, research and development, and academic experience in analytical photogrammetry, digital remote sensing, and civil and surveying engineering. His current responsibilities include designing and managing strategic programs to develop and implement new remote sensing technologies focused on meeting the evolving needs of geospatial users. His latest accomplishments include the calibration and processing of data from the single photon counting LiDAR mapping program and leading Woolpert research activities in the field of Unmanned Aerial System (UAS), its sensor calibration, and its workflow development.  Currently, Dr. Abdullah is a lead research scientist and a member of Woolpert Labs team. 

Dr. Abdullah publishes a monthly column "Mapping Matters", in the ASPRS journal PE&RS and he is the recipient of the 2010 prestigious Photogrammetric Fairchild award of the ASPRS and he serves as an adjunct professor at the University of Maryland, Baltimore County and at Penn State teaching graduate courses on UAS, Photogrammetry and Remote Sensing.   

Dr. Riadh Munjy got his MSCE in civil Engineering in 1978, MS in Applied Mathematics in 1981, and Ph.D. in Civil Engineering in 1982 from the University of Washington. He has been a faculty member and an active researcher at California State University, Fresno since 1982 and has been a Professor of Civil and Geomatics Engineering since 1988. He has over thirty  years of experience in  teaching courses in photogrammetry, digital mapping, GIS and least squares adjustment. 

From 1992 till 2003, he participated with JPL to develop an Interferometric Dual Band Radar Mapping System (GeoSAR). He has been a consultant in digital mapping for many agencies and firms around the world and worked as an expert witness in a number of cases.   

A member of ASPRS since 1978, Munjy has been a regular participant in ASPRS annual and fall conventions. He served as the Chairman of the Close Range Photogrammetry from 1986 through 1988 and was  associate editor for theoretical and applied photogrammetry for Photogrammetric Engineering and Remote Sensing journal from 1991 till 1996. In 1997 he was awarded the Meritorious Service Award by ASPRS.  Also in 2014 he was awarded the Fairchild Photogrammetric award by ASPRS.  He is a registered Civil Engineer in the State of California and ASPRS Certified Photogrammetrist.    


Introduction to Shortwave Infrared (SWIR) Analysis Tools

Date: Tuesday, May 5        
Time: Half Day, Afternoon, 12:45 pm - 5:15 pm
CEUs: 0.4

Instructor: Amanda O'Connor, Exelis Visual Information Solutions    
Workshop Level: Introductory

This workshop presents the core skills needed for understanding how to create real-world products from Shortwave Infrared (SWIR) spectral information.  The examples presented will focus on analysis of the SWIR bands from WorldView-3 data but the methodologies discussed will be applicable to other MSI/HSI data sources (i.e. ASTER, MODIS, and Landsat etc.).

This course is designed for analysts or others with minimal spectral data experiences who are interested in learning more about using SWIR data.

The workshop is presented in four modules with each module focused on a different application:  
1.    Urban Mapping
2.    Wildfire Mitigation
3.    Flooding
4.    Disaster Relief / Humanitarian Response

Upon completion of this workshop the student will have a better understanding of Worldview-3 spectral characteristics, material spectra, spectral imaging, understand the importance of atmospheric correction, analysis techniques applicable to SWIR data and be versed in producing several different product examples.  Some experience with remote sensing imagery is helpful as background knowledge for this workshop.

Attendees will receive a DVD with the training materials for use as a reference after attending the class.

About Your Workshop Instructor
Amanda O’Connor is a graduate from the University of Colorado with her M.S. in geology.  She studied cross correlation of AVIRIS and Landsat data for High Plains Vegetation Analysis in her thesis.

Following graduation, she worked at Stennis Space Center on calibration projects, sensor noise simulations, and the commercialization of remote sensing.  After her stint in Mississippi, she headed west to Carnegie Institution Department of Global Ecology based at Stanford University working for Greg Asner on tropical ecology projects using AVIRIS, Landsat and Hyperion.

O'Connor has been with Exelis Visual Information Solutions for almost 10 years supporting government, educational, and commercial customers with the use of ENVI and IDL software.


 Workshop Fees

Fees for Full and Half day workshops are listed below.
Full Day workshop registration fees include lunch and beverage breaks.

Full Day (WS #1, 2, 5, 6)

(until 4/17)

(4/18 - 5/08)

Member $250 USD $275
NonMember $350 $375
Student $150 $175


Half Day (WS #3, 4, 7)

(until 4/17)

(4/18 - 5/08)

Member $180 
NonMember $280 $300
Student $90 
$100 USD

 Students must provide a valid student ID when they register. Students will be allowed to attend workshops at the reduced price on a space available basis. All student registrations for workshops that are received before April 17, 2015, will be held until that date. If there are spaces available at that time the student will be notified that their registration has been accepted. If a student workshop registration is not accepted, their workshop fee will be refunded in full.

NOTE: Workshops are limited to a maximum of 40 attendees per workshop. Popular workshops sell out early and we do NOT keep a waiting list.


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