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Feb 2018


Hyatt Regency Denver Tech Center 7800 East Tufts Avenue Denver , Colorado 80237
Tel: (303) 779-1234
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2018 International LiDAR Mapping Forum (ILMF)






Event Overview:

International LiDAR Mapping Forum (ILMF) is a technical conference and exhibition showcasing the latest airborne, terrestrial, and underwater LiDAR as well as emerging remote-sensing and data collection tools and technologies.

The highly acclaimed international conference offers an opportunity to learn about the latest advances in LiDAR technology and hear about industry changes and developments first-hand from industry experts.

In 2018, ILMF and the ASPRS Annual Conference will take place together for the first time, giving attendees access to more geospatial solutions, technical education and networking than ever before! The combined event will feature a single exhibit hall and inclusive social activities. The events will maintain their unique technical programs, including ILMF product previews and ASPRS workshops, awards, and committee meetings. Attendees will be able to purchase a conference pass that allows entry to programs of their choice, or they may choose a universal pass that allows entry to all programs.

Exhibitor Information:

As an exhibitor, you'll have an unparalleled opportunity to connect with decision-makers looking for the latest LiDAR, photogrammetry, and remote sensing products and services. Hardware manufacturers, software developers and service providers promoting LiDAR products and services are invited to exhibit. Ensure your solutions are considered by booking a stand at International LiDAR Mapping Forum, taking place with ASPRS.

Connect with hundreds of professionals seeking LiDAR and other 3D geospatial data collection technologies to support transport, urban modeling, coastal zone mapping, utility asset management and more.


Feb 5   

8:00 AM - 7:00 PM

Feb 6   

8:30 AM - 8:00 PM

Feb 7   

8:30 AM - 5:15 PM

Keynote Speakers

Jeff Sloan

UAS National Project Office Lead - U.S. Geological Survey

Findings from DOI/USGS: Will Data from UAS Sensors Overtake Manned & Satellite Sources?

Jeff Sloan has worked in many areas of cartography, GIS, photogrammetry, and remote sensing in the U.S. Federal Government for the past 30 years including work at the Dept. of Defense, Dept. of Homeland Security and the Dept. of the Interior. He has utilized unmanned aircraft systems since the USGS National Project Office was established in 2008. He earned degrees from the University of Northern Iowa and graduate work in Geographic Information Systems at the University of Denver in Denver, Colorado.

Michael Lefsky

Colorado State University

Reconstructing Historic Land Use and Forest Structure Using Aerial Photos and Structure from Motion Analysis

Michael is a Professor in the Department of Ecosystem Science and Sustainability in the Warner College of Natural Resources at Colorado State University. He's worked with NASA's airborne and ICESat lidar sensors for mapping of forest canopy structure,  biomass, and forest productivity from LiDAR, as well as analysis of flash lidar technology, and mapping with Landsat in tropical environments.

Eric Larour

Cryosphere Scientist - NASA Jet Propulsion Laboratory

A New Tool from NASA for Coastal Planners: Anticipating Sea-Level Rise

Dr. Eric Larour is the project lead for the Ice Sheet System Model (ISSM), a state of the art ice flow modeling software developed at JPL in collaboration with University of California Irvine. Its main goal is to model the evolution of the mass balance of polar ice caps (Antarctica and Greenland) projected into the near future (10-100 years). The project is funded by the NASA Modeling, Analysis and Prediction (MAP) program, as well as the Cryosphere Program, JPL R&D, and the NSF Office of Polar Programs.

He received his M.Sc and PhD in Mechanical Engineering from Ecole Centrale Paris. His research interests include data assimilation of remote sensing observations into projections of ice sheet mass balance and sea level rise; forward modeling of polar ice caps using large-scale, high-resolution, multi-physics, multi-model based finite element ice flow models; and development of high-performance parallelized computer architectures for modeling Cryosphere processes.


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