LiDAR, which is an acronym for Light Detection And Ranging, is an active remote sensing
technology that uses laser light pulses to gather information about the features being scanned. Light pulses are
emitted from a light source that can be housed in an airplane, helicopter, ground vehicle, or even a stationary
terrestrial platform, and the times that it takes light pulses to hit an object and return to a sensor are recorded.
Those times are then used to calculate distances traveled, and, most often, elevations of the object struck by each
light pulse. Because LiDAR data can be collected over large areas in a relatively short time period, and because of
the elevation accuracies that LiDAR systems can now achieve, commonly +/- 10-15 centimeters, LiDAR is now a primary source
of elevation data for generating bare earth digital elevation models (DEM).
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While there are many types of LiDAR systems, they all share some common elements. All systems, both airborne and
terrestrial, will have a laser light source, a sensor to capture the return pulses, and a GPS positioning device to record
positional coordinates of all source and object pulses. If the system is an airborne one, there will also be an inertial
measurement unit (IMU) on board. IMU's track the
pitch, roll and yaw characteristics of the airplane. These measurements are used to determine the airplane's true
position in relation to the ground surface being sensed at all times. This position needs to be known precisely to correctly
calculate the travel time, distances and elevations of the pulses and objects.
LiDAR collection systems generate massive data files with records of every pulse return that is generated over a study area.
These data files are generally referred to as point clouds or mass point files. Both of these are good descriptive terms for a
LiDAR data set since, in a standard LiDAR project, there may be on the order of 5 to 10 million points collected for each square
mile of ground surface studied. LiDAR data sets really are masses or clouds of extremely large numbers of data points.
LiDAR data can actually be presented in a simple ASCII text file that includes just an x, y and z value for every return
point processed. This was the format that early LiDAR collections used. However, because there can be much other information
collected or processed for each return, most LiDAR data is now provided in a special binary file called a LAS file,
(LAS coming from LASer). So that LiDAR data from different systems can be used together, the American Society for Photogrammetry
and Remote Sensing (ASPRS) has now developed standards for LAS file formats, and all LiDAR data now generated usually are provided
in a standard ASPRS LAS format.
Besides the x, y and z data included in a simple ASCII file, the LAS file includes important header information about the
collection, time stamps for each point, intensity of the return pulse, coordinate system used, number of returns per light pulse,
classification of the type of feature the light pulse struck, and many others. Below is a table with attributes from a typical
LAS file, as well as attributes from a single point in the file:
A single light pulse can actually hit multiple targets, and so generate multiple return pulses. If you think of a
flashlight being used in a dark room, part of the light beam may strike and illuminate the first chair encountered while
part of the light beam my strike an illuminate the table partially behind it, and yet another part strikes and illuminates
the wall. Laser light pulses sent out during a LiDAR survey act in the same way, with the various returns normally being
from such things as roof tops, tree branches, cars or finally the ground surface. LiDAR systems have the capabilities of
tracking several returns from each light pulse sent out, with each source pulse and it's multiple returns all being linked
in the data file. It's this characteristic of a multiple return LAS data set that allows the point cloud to be used to
generate a 3-D view of the area surveyed in many software applications an example of which is shown in this graphic:
One of the important features of the post processed LAS file is the classification of each return, or more correctly the
classification of the type of feature the light pulse struck. Normal feature types include bare earth, water, low vegetation,
medium height vegetation, high height vegetation, and buildings, among others. At a minimum, returns are usually classified
to be water, bare earth and non-bare earth points, with other types of non-bare earth points, such as buildings and vegetation,
included depending on the use of the data. Having the bare earth points classified, allows the point cloud to be used to create
the bare earth or ground level digital elevation model (DEM) of the study area, which is one of the primary uses of airborne LiDAR
data. The standard APSRS file format has reserved class codes for these primary point classes with bare earth points always given
Class 2, and water points Class 9.
Times recorded for light pulses collected in a LiDAR project are given in a system called GPS time, since GPS data are
integral to tracking the LiDAR pulses. GPS time started at midnight Sunday, January 6, 1980, which is when the first GPS
satellites became active. It is counted by the number of seconds in each week since January 6, 1980, which is week 0 (zero).
The time stamp for a LiDAR point is the total number of seconds that have elapsed from midnight January 6, 1980. GPS time
converters are available that can convert the total number of seconds to an actual date. For example, the time of
1,018,084,530.0000 seconds given for the sample point above equates to a date of April 10, 2012, 9:15:15 AM.
The raw and post processed point clouds, often called the unclassified and classified LAS files, are the data format in which
the actual point returns are delivered. While the point clouds are extremely valuable for performing many kinds of surface analysis,
it is the derived LiDAR products which are most widely used. Included in these derived products are bare earth digital elevation
models (DEM), first return digital surface models (DSM), hillshade files (shaded relief surfaces), triangulated irregular networks
(TIN), and elevation contours. The most important of these are the DEM and the hillshade file. The DEM is a raster data type with
each cell or pixel storing a ground elevation value calculated from the bare earth points in a LiDAR collection, and can be used in a
many different GIS raster processing operations. The hillshade file is simply a 3-D shaded relief layer of the DEM, and is very
helpful in visualizing what the terrain actually looks like. Contours, which are vector layers linking points of the same elevations,
are also a common LiDAR derived product, and familiar to most people as one of the data types shown on a topographic map.
There are several sources for New Jersey LiDAR data, both the raw and classified point clouds and the derived products. The
Office of GIS (OGIS) within the Office of Information Technology is presently the state branch handling the distribution of LiDAR
data sets covering New Jersey. Because of the size of the collections, distribution from OGIS is by request, with the distribution
on external hard drive.
Read the instructions for acquiring the data from OGIS.
New Jersey LiDAR data is also available from several federal distribution sites. The USGS posts LiDAR data sets for download on
several sites including EarthExplorer, and
The National Map.
LiDAR data covering coastal areas of New Jersey are also available from
NOAA's DigitalCoast site.
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July 18, 2017