ALS
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Questions and Answers

What is the key distinction between a 2.5D map representation and a true 3D model?

  • In a 2.5D representation, each East and North coordinate pair can have multiple Z values, while in a 3D model, each pair has only one Z value.
  • 2.5D maps are only used for urban analysis, while 3D models are used for regional analysis.
  • 2.5D maps include only East and North coordinates, whereas 3D models include East, North, and Time coordinates.
  • 2.5D maps represent height above mean sea level for certain features, whereas 3D models can represent multiple Z values for a single East and North coordinate pair. (correct)

Which of the following best describes the primary function of LiDAR technology?

  • Analyzing the chemical composition of atmospheric particles using light wavelengths.
  • Calculating distances to objects by measuring the time it takes for emitted light pulses to return to the sensor. (correct)
  • Creating detailed underwater acoustic maps by measuring sound wave reflections.
  • Broadcasting focused beams of light to communicate with remote sensors.

In the context of urban and regional analysis, how does LiDAR contribute to creating true 3D models?

  • LiDAR data is combined with traditional surveying techniques to estimate elevation values in areas with limited access.
  • LiDAR is used to correct distortions in aerial photographs, which are then used to create 3D models.
  • LiDAR directly provides 2D map coordinates which are then extrapolated into 3D models.
  • LiDAR systems capture multiple Z values for each East and North coordinate, enabling the accurate representation of complex urban structures in 3D. (correct)

What fundamental data is inherently available in a typical map, that is augmented to create a 2.5D representation?

<p>East and North coordinates of points. (B)</p> Signup and view all the answers

Which of the following scenarios would highlight the advantage of using a true 3D model over a 2.5D representation?

<p>Modeling sunlight penetration within a dense urban canyon with overhanging balconies. (B)</p> Signup and view all the answers

What was a key development in LiDAR technology during the 1980s?

<p>Integration of Global Positioning System (GPS) technology to determine sensor position. (D)</p> Signup and view all the answers

What advancement primarily characterized the maturation of LiDAR technology in the 2000s?

<p>The increased accuracy of GPS positional data and INS orientation measurements. (D)</p> Signup and view all the answers

In a typical LiDAR system describe the relationship between the accuracy of its components.

<p>The range accuracy is typically lower than the GNSS accuracy, while the scan angle accuracy is the highest. (C)</p> Signup and view all the answers

What is the correct order of development for LiDAR technology?

<p>Development begins, GPS incorporation, Commercial LiDAR, Maturing of technologies (B)</p> Signup and view all the answers

A surveyor is using LiDAR to map a local park and needs highly precise positional data. Which sensor component's accuracy is MOST critical for achieving this?

<p>The Global Navigation Satellite System (GNSS) receiver, as it provides the location of the LiDAR unit. (A)</p> Signup and view all the answers

What is the primary advantage of using LiDAR-derived DEMs compared to USGS 30m DEMs?

<p>LiDAR DEMs offer significantly higher resolution. (D)</p> Signup and view all the answers

Which of the following is NOT a typical component of an ALS (Airborne LiDAR System)?

<p>Seismograph (C)</p> Signup and view all the answers

What is the role of the IMU/INS in an ALS (Airborne LiDAR System)?

<p>To precisely determine the aircraft's attitude (pitch, roll, yaw). (D)</p> Signup and view all the answers

What is the approximate ground point position accuracy achieved by ALS systems?

<p>~15 cm (C)</p> Signup and view all the answers

What is the typical flying height range for aerial LiDAR data acquisition?

<p>700-1200 meters (A)</p> Signup and view all the answers

Which of the following applications benefits MOST from the high-resolution data provided by LiDAR?

<p>Detailed landslide hazard assessment (C)</p> Signup and view all the answers

Which of the following factors contributes MOST to the cost of LiDAR data acquisition?

<p>The need for specialized aircraft and equipment (A)</p> Signup and view all the answers

An environmental agency aims to assess the impact of deforestation on local hydrology in a mountainous region. Which data acquisition method would be MOST appropriate and cost-effective for generating a high-resolution DEM of the area?

<p>Airborne LiDAR scanning (D)</p> Signup and view all the answers

What fundamental data types are required to compute the three-dimensional coordinates of target objects using LiDAR?

<p>Time difference, angle of pulse, and absolute sensor location. (C)</p> Signup and view all the answers

A LiDAR system scans a 1 km x 1 km area and achieves an average point density of 5 points per square meter. Approximately how many points will the resulting point cloud contain?

<p>5,000,000 points (D)</p> Signup and view all the answers

Which of the following is the MOST significant advantage of using ALS (Airborne Laser Scanning) for terrain representation compared to widely available DEMs (Digital Elevation Models)?

<p>Higher accuracy and ability to represent small geomorphic features. (B)</p> Signup and view all the answers

In a LiDAR point cloud, what additional information is typically associated with each 3D coordinate (x, y, z) to enhance data interpretation?

<p>Laser pulse intensity (A)</p> Signup and view all the answers

If a LiDAR system measures the time difference between emitting a laser pulse and receiving its return as $t$ seconds, and the speed of light is $c$ meters per second, which formula calculates the distance ($d$) between the sensor and the target?

<p>$d = \frac{1}{2}ct$ (C)</p> Signup and view all the answers

A researcher is using LiDAR to study urban tree canopy structure. Which type of digital model is MOST suitable for this purpose, considering it includes the heights of buildings, trees, and other surface features?

<p>Digital Surface Model (DSM) (C)</p> Signup and view all the answers

Why are widely available Digital Elevation Models (DEMs) often inadequate for detailed geomorphic analysis?

<p>Their spatial resolution is too coarse to represent small features. (D)</p> Signup and view all the answers

What does the 'intensity' value associated with each point in a LiDAR point cloud primarily represent?

<p>The amount of laser energy reflected back to the sensor. (A)</p> Signup and view all the answers

Flashcards

2.5D Map

A representation where each (East, North) coordinate pair has only one height (Z) value.

True 3D Model

A representation where each (North, East) coordinate pair can have multiple height (Z) values.

LiDAR Definition

A remote sensing tech using light beams to measure distances to objects.

Airborne Laser Scanning (ALS)

Acquires 3D spatial data of the Earth's surface using laser scanning technology from an airborne platform.

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ALS Systems (LiDAR)

Systems using laser tech from the air to obtain detailed terrain data.

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Point Cloud

A 3D representation of a target area built from a cloud of data points.

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Digital Terrain Model (DTM)

Represents the bare earth surface, without objects like buildings or trees.

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Digital Surface Model (DSM)

Represents the earth's surface and includes all objects on it (buildings, trees, etc.).

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Digital Elevation Model (DEM)

A digital representation of ground elevation variations.

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LiDAR Range Measurement

Distance between the LiDAR sensor and the ground point.

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LiDAR Data Sources

Time difference, angle of pulse, and sensor location.

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Main Use of ALS (LiDAR)

Representing the terrain in 3D with high accuracy.

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Benefit of ALS Resolution

Provides more detail for small land features/changes than standard topography data.

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LiDAR development in 1970s

Development of LiDAR technology started with NASA.

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LiDAR in the 1980s

GPS was integrated into LiDAR systems, enhancing positioning capabilities.

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LiDAR in the 1990s

LiDAR became available for commercial use.

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LiDAR in the 2000s

Improvements in GPS positional and INS orientation accuracy occurred.

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LiDAR components accuracy

Range accuracy is typically 1-5 cm, GNSS accuracy is 2-5 cm, scan angle measuring accuracy is 0.01°, and INS accuracy for pitch/roll is high.

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USGS 30m DEM

Digital Elevation Model with 30x30 meter cell size, once the best available US coverage.

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Sub-meter DEM resolution

Digital Elevation Model can achieve resolutions smaller than a meter.

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ALS System Components

Uses laser scanner, GNSS receiver, and IMU to measure ground elevation.

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Laser Scanner Function in ALS

Measures distance to the ground using a laser.

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GNSS Receiver in ALS

Determines the laser sensor's position using kinematic positioning.

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IMU/INS in ALS

Determines the aircraft's orientation (pitch, roll, yaw).

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ALS Applications

Geomorphology, landslide/flood hazard assessment, forestry, civil engineering, urban planning, volcanology.

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Typical LiDAR Flight Parameters

Often flies at 700-1200 meters and collects multiple points per square meter with ~15cm accuracy.

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Study Notes

  • LiDAR (LIght Detection And Ranging) is a remote sensing technology that emits focused beams of light and measures the time it takes for the reflections to be detected by the sensor to compute ranges, or distances, to objects.

Computing 3D Coordinates

  • The target objects' three-dimensional coordinates (x, y, z or latitude, longitude, and elevation) are computed as a cloud of points
  • The computations are derived from three main data points:
    • The time difference between the emission and return of a laser pulse determines the distance (range) between the laser and the point on the ground
    • The angle at which the pulse was "fired"
    • The absolute location of the sensor on the Earth's surface

Preliminary Basic Consideration About Z Coordinates

  • Maps use 2D (East, North) or 2.5D (E, N, Z) coordinate systems
  • True 3D models represent the real world
  • Maps usually display 2D coordinates, and may include height for some objects, creating a 2.5D representation
  • 3D models can have multiple Z values for each North, East coordinate pair

ALS: Airborne Laser Scanning Systems

  • A key application of ALS is to create precise 3D representations of terrain
  • Digital elevation models (DEMs) that are widely available are often too coarse for small geomorphic features and processes
  • LiDAR/ALS data makes DEMs possible at previously unattainable resolutions, even sub-meter resolutions
  • Applicable to:
    • Geomorphology
    • Landslide & flood hazards
    • Forestry/Ecology
    • Civil Engineering
    • Urban planning
    • Volcanology
  • Has become widely available in geosciences in the past 10-15 years

ALS System Components

  • Laser scanner, transmitter, and receiver calculate the distance (range) between the emitter and the ground point hit by the laser beam
  • GNSS (Global Navigation Satellite System) receiver determines the antenna's position after processing; which gives location of the laser sensor, requires a GNSS master station
  • IMU/INS determines the attitude of the aircraft/laser system, reporting pitch, roll, and yaw angles
  • RGB camera (optional)

Aerial LiDAR Platforms and Application Diversity

  • Typical flight parameters:
    • 700-1200 m flight height
    • 30,000 points/second
  • Ground samples can achieve multiple points per square meter
  • Ground point position accuracy around ~15 cm
  • Acquisition costs approximately $300 - $500 per sq. km
  • Diverse applications include:
    • Wide-area mapping
    • Engineering-grade surveys
    • Corridor mapping

History of LiDAR

  • 1970s: Development began at NASA
  • 1980s: GPS was incorporated
  • 1990s: Commercial LiDAR became available
  • 2000s: included:
    • GPS positional accuracy increases (cm level accuracy)
    • INS orientation accuracy increases (Pitch/roll accuracy ≈ 0.005°)
    • Incorporation of LiDAR with other technologies (digital camera, signal intensity)
    • Multiple pulses emergence
    • High-end systems by Riegl, Leica, and Optech

The Accuracy of the Sensors

  • LiDAR instrument components have different precisions
  • Typical laser sensor accuracies:
    • 1-5 cm range accuracy
    • 2-5 cm GNSS accuracy
    • 0.01° scan angle accuracy
    • <0.005° INS accuracy for pitch/roll
    • <0.008° heading
    • 0.25 to 5 mrad beam divergence
  • Data achieves vertical accuracies on the order of 5 to 15 cm and horizontal accuracies of 15-50 cm at one sigma

LASER: Light Amplification by Stimulated Emission of Radiation

  • Active sensor, transforms energy in electromagnetic radiation for object detection; it uses its own radiation reflection
  • Beam characteristics: monochromatic, coherent, small divergence
  • Small divergence allows beam transport and energy concentration with optical systems

Safety and Laser Classification

  • CLASS 1: Unable to produce damaging radiation under normal operation; e.g., laser printer, CD-Rom
  • CLASS 2: Emits visible light; eye protection from defense reaction; not hazardous if viewed less than 0.25 second; maximum power is 1 mW; e.g., barcode scanner
  • CLASS 3a: Probably not hazardous if viewed briefly; hazardous if viewed with collecting optics; maximum power is 5mW; some require DANGER labels; e.g., laser pointer
  • CLASS 3b: Hazardous if viewed directly or by specular reflection; diffuse reflection not usually hazardous; upper limit is 0.5W.
  • CLASS 5: Exceeds 0.5W; hazardous under all viewing conditions; not suitable for surveying

Techniques for Distance Measurement

  • In range meausrements with laser, two major ranging principles are applied:
    • The pulsed ranging principle
    • Measuring phase differences between transmitted signals and backscattered signals for ranging
  • Pulse ranging systems are the most common in the ALS market

Distance Measurement by Pulse Ranging (Time of Flight, t.o.f.)

  • High precision clocks are critical; 1 mm accuracy requires measuring a time delay of 3.33 picoseconds
  • Pulse Characteristics of Common Sensors:
    • Repetition rates: 4 - 83 Khz
    • Pulse durations: 6-12 nanoseconds
    • Pulse widths: 1.8-3.6 m
  • Light travels ~30 cm in 1 ns

Footprint and Posting Density

  • Illuminated Footprint: laser beam's diameter upon ground impact, diverges slightly
  • Posting density depends on: laser pulse rate, flying height, flight speed, scan angle

Swath Width

  • Swath width hinges on flight altitude and laser beam deflection angle, calculated as L = 2H tan γ

Systems Measuring Multiple Echoes

  • Surveying forested areas uses the possibility generated by the amplitude to generate multiple reflections at different times

General Characteristics of LiDAR

  • Signal wavelength in near infrared (or blue-green)
  • Pulses at high frequency and power with narrow solid angles, which provides lower power dissipation and higher resolution
  • Narrow spectral width (filters remove background radiation)
  • Operates day or night, unaffected by shadows, but clouds must be above the airplane
  • Distance measurement is range, derived from time, recording 50000 to 200000 measures per second
  • Footprint size varies with system type and flight altitude, from 10 cm to 25 m, strip width from 50 m to 9 km
  • Intensity is the amount of energy reflected, yielding a reflectance image co-registered to the cloud of X,Y,Z points

Reflectivity and Maximum Laser Range

  • Target reflectivity and laser wavelength affect maximum range
  • Maximum range specifications should detail target type, reflection (diffuse or specular), and reflectivity percentage
  • Wavelength impacts a survey's scope
  • 1535 nm lasers may be not suitable for glaciers due to ice/snow reflectance

General Characteristics of LiDAR (II)

  • High resolution and especially in relative accuracy
  • Quick survey for large areas
  • Direct georeferencing of intensity data and XYZ coordinates
  • Fast processing
  • Output in ASCII XYZ, easily imported by GIS
  • UTM-WGS84 result necessitates datum transformation for other systems
  • Ellipsoidal WGS84 must have geoid undulation applied
  • Complete system costs from $500,000 to $1.3 million

Data Filtering and Software

  • Filtering from DSM to DTM:
    • Automated processing removes 90-95% of non-ground points, remaining 10% may consume most of the budget
  • Geometric criteria:
    • Points can be viewed three dimensionally
    • Own point classes defined: ground, vegetation, buildings, or wire
    • 3D objects classified such as towers

Accuracy of ALS Empirical accuracy

  • Accuracy declines when surface is poorly defined (rough) and laser point density decreases

Problems and Errors in ALS

  • Errors in sensor positioning due to GPS, INS and GPS-INS integration.
  • Angles of laser travel are problematic, instrument isn't aligned; differential shaking between laser scanner and INS
  • Vector from GPS antenna to instrument in INS reference system required is a physical observation

Datasets Delivered

  • Clouds of points: the interchange of 3D pt cloud data maintains specific LiDAR information; binary format; supports any 3D
  • DEM (with elevations), ESRI grid format, filtered or not in ASCII
  • Typically tile-organized, importance of cataloging and coding of the tiles
  • Two main structures for the surface: TIN (Triangulated Irregular Network) or Grid

Advantages of LiDAR

  • All data geo-referenced from inception
  • High level of accuracy
  • Ability to cover large areas quickly
  • Quicker turnaround, less labor intensive, and lower costs than photogrammetric methods
  • Collect data in steep terrain and shadows produces DEM and DSM

Disadvantages of LiDAR

  • Large datasets are tricky to interpret
  • No international protocols for data acquisition
  • $200 - $300 / sq. km is costly

ALS Applications

  • Includes the mapping for a variety of items: corridors, electrical transmission lines and towers, waterway landscapes

Further ALS applications

  • DTM (Digital Terrain Model) generation, coastal areas, high-density applications
  • Rapid mapping and damage assessment
  • Measurements for numerous forms of areas. snow- and ice-covered, wetlands
  • Derivation of other various parameters: vegetation, hydrographic surveys...

Lidar Applications

  • Modeling areas and urban areas
  • Census of buildings demolished or new buildings

Models

  • Help to estimate stand volume Volume and biomass can be estimated by crowns which leads to fuel loading studies

LiDAR Applications for Archeology

  • Can assist in field campaigns and can map features
  • Used in creating high-resolution digital elevation models

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Description

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