How would you like to wave your magic wand and all of a sudden find out how far everything is away from you?
No magic wands were necessary. This is how LiDAR (Light Detection and Ranging) works. Of course, without the magic wand!
Let’s demystify light detection and ranging. Hopefully, after reading this, you will go from zero to a LiDAR hero.
READ MORE: Top 6 Free LiDAR Data Sources
LiDAR is fundamentally a distance technology. From an airplane or helicopter, LiDAR systems send light to the ground.
This pulse hits the ground and returns to the sensor. Then, it measures how long it takes for the light to return to the sensor.
By recording the return time, this is how LiDAR measures distance. In fact, this is also how LiDAR got its name – Light Detection and Ranging.
LiDAR is a sampling tool. What I mean by that is that it sends over 160,000 pulses per second. For every second, each 1-meter pixel gets about 15 pulses. This is why LiDAR point clouds create millions of points.
LiDAR systems are very accurate because it’s being controlled in a platform. For example, accuracy is only about 15 cm vertically and 40 cm horizontally.
As a plane travels in the air, LiDAR units scan the ground from side-to-side. While some pulses will be directly below at nadir, most pulses travel at an angle (off-nadir). So when a LiDAR system calculates elevation, it also accounts for the angle.
Typically, linear LiDAR has a swath width of 3,300 ft. But new technologies like Geiger LiDAR can scan widths of 16,000 ft. This type of LiDAR can cover much wider footprints compared to traditional LiDAR.
Imagine you’re hiking in a forest. Then, you look up to the sky. If you can see light, this means that LiDAR pulses can go through too. Also, this means that LiDAR can hit the bare Earth or short vegetation.
A significant amount of light penetrates the forest canopy just like sunlight. But LiDAR won’t necessarily only hit the bare ground. In a forested area, it can reflect off different parts of the forest until the pulse finally hits the ground.
By using LiDAR to get bare ground points, you’re not x-raying through vegetation. Instead, you’re really peering through the gaps in the leaves. When it hits the branches, you get multiple hits or returns.
In a forest, the laser pulse goes downwards. When light hits different parts of the forest, you get the “return number”. For example, you’ll get the 1st, 2nd, 3rd returns until it finally hits the bare ground. If there’s no forest in the way, it will just hit the ground surface.
Sometimes a pulse of light doesn’t reflect off one thing. As with the case of trees, one light pulse could have multiple returns. LiDAR systems can record information starting from the top of the canopy through the canopy all the way to the ground. This makes LiDAR valuable for interpreting the forest structure and shape of the trees.
Digital Elevation Models (DEM) are bare earth (topographic) models of the Earth’s surface. By using only ground returns, you can build a DEM. But this is different from Digital Terrain Models (DTM) because DTMs incorporate contours.
By using a DEM, you can generate additional products. For example, you can create:
READ MORE: Free Global DEM Data Sources.
As you’ve learned, LiDAR peers through the forest. Eventually, the light reaches the ground. Then, we get a bare Earth return. But what about the first return that hits the tree?
A Digital Surface Model (DSM) incorporates elevations from natural and built surfaces. For example, it adds elevation from buildings, tree canopy, powerlines, and other features.
Canopy Height Models (CHM) give you the true height of topographic features on the ground. We also call this type of elevation model a Normalized Digital Surface Model (nDSM).
First, take the DSM that includes natural and built features like trees and buildings. Next, subtract these elevations from the bare Earth (DEM). When you subtract the two, you get a surface of features that represents real height from the ground.
The strength of LiDAR returns varies with the composition of the surface object reflecting the return. The reflective percentages are referred to as LiDAR intensity.
But several factors affect light intensity. For example, range, incident angle, beam, receiver, and surface composition (especially) influences light intensity. An example is when the pulse is tilted further away, the return energy decreases.
Light intensity is particularly useful in distinguishing features in land use/cover. For example, impervious surfaces stand out in light intensity images. This is why light intensity is good for image classification like object-based image analysis.
There are a set of classification codes that the American Society for Photogrammetry and Remote Sensing (ASPRS) assigns for LiDAR point classification.
For example, classes can include ground, vegetation (low, medium, and high), building and water, etc. Sometimes, point classification may fall into more than one category. If this is the case, vendors usually flag these points with secondary classes.
Vendors may or may not classify LiDAR. The codes are generated by the reflected laser pulse in a semi-automatic way. Not all vendors add this LAS classification field. Actually, it is usually agreed upon in the contract beforehand.
LiDAR data is a rare, precious resource. But thanks to open data programs, they are becoming more widely available.
So where is the LiDAR data? Here is a list of the top 6 free LiDAR data sources for you to get a jump-start on your search.
If you can’t find what you’re looking for, then most likely you will have to purchase LiDAR data. Vendors generally fly LiDAR commercially by helicopter, airplane, and drone.
Let’s explore the types of LiDAR systems. They differ in:
Profiling LiDAR was the first system ever used back in the 1980s. It specialized in straight-line features such as power lines. Profiling LiDAR sends out an individual pulse in one line. At a fixed nadir, it measures height along a single transect.
Small footprint LiDAR is what we mostly use today. It scans at about a 20 degrees scan angle. Then, it moves backward and forwards. If it goes beyond 20 degrees, the LiDAR instrument may start seeing the sides of trees instead of straight down.
Large footprint LiDAR uses full waveforms with a 20m footprint. But it’s accuracy is low because the pulse return can include sloping terrain. Two notable experiments from NASA used this type of LIDAR:
Ground-based LiDAR sits on a tripod and scans the hemisphere. It’s particularly good for scanning buildings. But there are also applications in geology, forestry, and construction.
Geiger-mode LiDAR is still in an experiential state. But it specializes in high altitude scanning. Because it has an extremely wide swath, it can cover more ground compared to other types of LiDAR.
There are 4 main parts of an airborne LiDAR. They work together to produce highly accurate, usable results:
LiDAR SENSORS: As the airplane travels, sensors scan the ground from side-to-side. The pulses are commonly in green or near-infrared bands.
GPS RECEIVERS: GPS receivers track the altitude and location of the airplane. These tracks are important for accurate terrain and elevation values.
INERTIAL MEASUREMENT UNITS (IMU): As airplanes travel, IMUs tracks its tilt. LiDAR systems use tilt to accurately measure the incident angle of the pulse.
DATA RECORDERS: As LiDAR scans the surface, a computer records all of the pulse returns. Then, these recordings get translated into elevation.
LiDAR systems store LiDAR returns in two ways:
Imagine LiDAR pulses scanning through a forested area. You get 1st, 2nd, 3rd returns because the pulse hits multiple branches. Then, you get a large and final pulse by the bare ground return.
When you record the data as separate returns, this is “discrete return LiDAR”. In short, discrete LiDAR takes each peak and separates each return.
When you record the whole return as one continuous wave, this is full-waveform LiDAR. So, you simply count the peaks, this makes it discrete.
Even though full-waveform data is more complicated, LiDAR is moving towards a full waveform system.
This list of LiDAR uses and applications barely scratches the surface. For example, here are some ways how we use LiDAR today:
FORESTRY: Foresters use LiDAR to better understand tree structure and shape.
SELF-DRIVING CARS: Self-driving cars use LiDAR scanner to detect pedestrians, cyclists, stop signs, and other obstacles.
ARCHAEOLOGY: Archaeologists use LiDAR to find square patterns in the ground, which were ancient buildings and pyramids built by Mayan and Egyptian civilizations.
HYDROLOGY: Hydrologists delineate stream orders and tributaries from LiDAR.
READ MORE: 100 Earth-Shattering Remote Sensing Applications & Uses
Light Detection and Ranging (LiDAR) uses lasers to measure the elevation of features.
It’s a distance technology that samples with an incredible amount of accuracy and points.
It’s similar to sonar (sound waves) or radar (radio waves) because it sends a pulse and measures the time it takes to return. But LiDAR is different than sonar and radar because it uses light.
We’ve summarized light detection and ranging with this LiDAR guide. You can now consider yourself a LiDAR guru.
Any questions? Please let us know with a comment below.