3DEO, Inc.

@3deolidar.bsky.social

We design, build and operate advanced airborne lidar systems for diverse government and commercial applications. https://imagery.3deolidar.com

Our mission planning is constantly evolving to include 3DEO’s latest systems with stronger lasers, improved cameras and different scanning techniques. As collections scale, so will the mission planning software. Read about our flexible mission planning: t.co/Ht8ImwM5Xr

The four major areas of airborne lidar Mission Planning: 1) Define the area, 2) Select the collection modality, 3) Generate routing files, and 4) Finalize parameters. Learn how 3DEO's agile geo-referenced scanning enables new collection modality: t.co/Ht8ImwM5Xr

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Dale Fried, the Founder and CEO of 3DEO, recently presented “Design and airborne evaluation of high-altitude Geiger-mode lidar mapping systems and data processing workflows,” at the SPIE-DCS conference in April.

Dale Fried presenting a slide at SPIE D+S.

Angular resolution impacts collection rates and data quality for airborne lidar. This trade off was especially challenging when designing Sequoia, which has a FWHM ground spatial resolution of 29 cm at 27,000 ft. Check out our newsletter: www.linkedin.com/pulse/talkin...

Talking Technical: Improving Angular Resolution

Like any optical imaging system, angular resolution is a key component of lidar. Angular resolution is the ability to distinguish small details within a scene.

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Founder and CEO Dale Fried recently presented “Performance of a commercially-available SPAD camera for airborne lidar” at the SPIE D+S conference in Maryland. He covered the desired characteristics of a Geiger-mode camera and reviewed how the SRI camera model worked in practice.

Dale Fried presenting behind a podium which has a sign that says "SPIE".

A trade-off for airborne lidars is between ground resolution and flying height. The higher systems fly, the harder to distinguish details on the ground. But, flying at higher altitudes means scaled collections. Check out our newsletter: lnkd.in/eTxhyn3P

Talking Technical: Improving Angular Resolution

Like any optical imaging system, angular resolution is a key component of lidar. Angular resolution is the ability to distinguish small details within a scene.

lnkd.in

For lidar, angular resolution is the ability to distinguish small details within a scene. In lidar collections, angular resolution determines if the right questions get answered To learn more, check out 3DEO's newsletter Talking Technical: lnkd.in/eTxhyn3P

Talking Technical: Improving Angular Resolution

Like any optical imaging system, angular resolution is a key component of lidar. Angular resolution is the ability to distinguish small details within a scene.

lnkd.in

3DEO launched a newsletter! In our first edition, Lidar Engineer Andy Zhang, talks angular resolution: why it's important, what the constraints are, and how to improve it to engineer world class lidar systems. www.linkedin.com/pulse/talkin...

Talking Technical: Improving Angular Resolution

Like any optical imaging system, angular resolution is a key component of lidar. Angular resolution is the ability to distinguish small details within a scene.

linkedin.com

Our systems are purpose-built for operation where conventional #lidar breaks down. 3DEO lidars have higher measurements rates and are more sensitive to ground returns under foliage. Our systems use agile geo-referenced scanning for high angular diversity and dense point clouds.

Warm weather and leaf growth means it’s harder for photons to reach the ground and detect terrain in dense forests. Our lidars use agile geo-referenced scanning to achieve angular diversity, collecting 4-6 viewpoints in a single pass, mitigating shadows under forest canopy.

Data size increases exponentially when scaling #lidar collections, meaning new workflows. 3DEO’s Acadia software suite uses HPC job management tools to schedule and execute data processing on systems, scaling from a single computer to clusters with 30+ nodes.

Acadia is our software suite that processes Geiger-mode #lidar data into dense point clouds, with relative reflectivity, height above ground and point confidence metadata. It registers data collected by agile geo-referenced scanning to create point clouds with minimal shadowing.

Our mission planning starts by understanding data product requirements (point density, 3D accuracy, and spatial resolution) and scene characteristics (foliage density, terrain variation, and area collected).

3DEO, Inc. is proud to be the first member of the Digital Forest Affiliates (DFA) at the University of Idaho College of Natural Resources. DFA unites researchers, industry leaders, and land managers to advance digital forestry.

A transect of a point cloud of a forest with different trees shown in different colors.

Efficient #lidar corridor collections increases platform altitude, but it doesn’t matter if it degrades data quality. Flying higher = larger swaths of ground coverage, or the ability to include curving #ROWs and substations without expensive extra plane maneuvers.

Geiger-mode vs. linear-mode lidar — what’s the difference? Linear-mode lidar sweeps a pulsing laser beam back and forth over an area of interest, requiring about 300 photons to get above noise and identify returns.