Map terrain & drainage
Understand elevation, slope, and low areas to inform water management and field planning.
LiDAR for agriculture & researchUnderstand the land.
Understand the land.
Measure what’s growing.
Capture the terrain beneath your decisions. LiDARUSA helps agricultural teams and researchers build a measurable 3D picture of fields, orchards, and changing landscapes.
Terrain and contour visualization from LiDARUSA.
Measure crop structure
Build 3D datasets for canopy height, orchard structure, and plant research.
Compare over time
Use repeat surveys to investigate changes in vegetation and the landscape.
Our customersAdvancing agriculture.
Advancing agriculture.
Understanding our world.
We’re proud to have supplied LiDAR systems to organizations across agriculture, industry, conservation, and environmental research.
Logos identify customers and do not imply endorsement.
From field conditions to useful dataBetter measurements.
Better measurements.
More informed decisions.
LiDAR measures distance to create a 3D point cloud. For agriculture, that data can support terrain models, vegetation measurements, and a consistent record of conditions across a site.
Start with the land
Use ground-classified data to develop elevation models and contours. Analyze slope and potential flow paths to support drainage, irrigation layout, and erosion investigations.
Put structure in context
Measure vegetation height relative to the ground and explore canopy shape and spacing. Combine LiDAR with imagery to add visual context to field and orchard research.
See what changed
Compare aligned surveys to study growth, terrain change, or management effects. Consistent capture methods and quality checks make comparisons more useful.
LiDAR + imageryStructure in 3D.
Structure in 3D.
Context in every image.
LiDAR describes the geometry of the scene. Camera imagery adds the visual detail that helps teams interpret it.
Our earlier orchard demonstration explored identifying visible fruit in imagery. Today’s project should start with the question you need to answer—then match the sensors, collection plan, and analysis to it.
Fruit detection is an imagery-analysis task. Counts and yield estimates need application-specific validation; they are not automatic LiDAR outputs.
Build the workflow around the jobThe right system starts
The right system starts
with the right questions.
Tell us your acreage, crop or landscape, target measurements, required accuracy, and preferred collection platform. We’ll help you define a practical configuration.
Set the deliverable
Decide whether you need bare-earth terrain, canopy measurements, imagery, or a repeatable research dataset.
Match the platform
Choose UAV, vehicle, or another supported setup around access, coverage, vegetation, and operating constraints.
Build usable data
Georeference, align, classify, and check the point cloud before generating surfaces or measurements.
Answer the question
Bring the results into your GIS, engineering, or research workflow and validate them against field observations.
Agriculture LiDAR, explainedQuestions from
Questions from
the field.
What is LiDAR used for in agriculture?
LiDAR can map field elevation, support drainage and irrigation planning, measure vegetation structure, and document change through repeat surveys. The deliverables depend on the sensor, collection plan, processing, and field conditions.
Can LiDAR measure the ground beneath crops?
Some laser pulses can reach the ground through gaps in vegetation. Ground coverage depends on canopy density, viewing geometry, and collection settings. Dense vegetation can leave gaps that require a different survey plan or additional ground measurements.
Should I combine LiDAR with a camera?
A camera is useful when your team needs visual interpretation alongside 3D measurements. RGB imagery can support a colorized point cloud when correctly aligned; crop-health research may call for additional sensors and a separate analysis workflow.
Which LiDAR system is best for agriculture?
The best fit depends on acreage, terrain, vegetation, accuracy requirements, collection platform, and budget. Start with the required deliverable, then select a LiDAR sensor, positioning system, and optional camera that can support it.
What do you need to measure?
Tell us about your land, your research, and the decisions your data needs to support. Let’s build a LiDAR solution around your work.