Podcast
Questions and Answers
What is the key distinction between a 2.5D map representation and a true 3D model?
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?
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?
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?
What fundamental data is inherently available in a typical map, that is augmented to create a 2.5D representation?
Which of the following scenarios would highlight the advantage of using a true 3D model over a 2.5D representation?
Which of the following scenarios would highlight the advantage of using a true 3D model over a 2.5D representation?
What was a key development in LiDAR technology during the 1980s?
What was a key development in LiDAR technology during the 1980s?
What advancement primarily characterized the maturation of LiDAR technology in the 2000s?
What advancement primarily characterized the maturation of LiDAR technology in the 2000s?
In a typical LiDAR system describe the relationship between the accuracy of its components.
In a typical LiDAR system describe the relationship between the accuracy of its components.
What is the correct order of development for LiDAR technology?
What is the correct order of development for LiDAR technology?
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?
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?
What is the primary advantage of using LiDAR-derived DEMs compared to USGS 30m DEMs?
What is the primary advantage of using LiDAR-derived DEMs compared to USGS 30m DEMs?
Which of the following is NOT a typical component of an ALS (Airborne LiDAR System)?
Which of the following is NOT a typical component of an ALS (Airborne LiDAR System)?
What is the role of the IMU/INS in an ALS (Airborne LiDAR System)?
What is the role of the IMU/INS in an ALS (Airborne LiDAR System)?
What is the approximate ground point position accuracy achieved by ALS systems?
What is the approximate ground point position accuracy achieved by ALS systems?
What is the typical flying height range for aerial LiDAR data acquisition?
What is the typical flying height range for aerial LiDAR data acquisition?
Which of the following applications benefits MOST from the high-resolution data provided by LiDAR?
Which of the following applications benefits MOST from the high-resolution data provided by LiDAR?
Which of the following factors contributes MOST to the cost of LiDAR data acquisition?
Which of the following factors contributes MOST to the cost of LiDAR data acquisition?
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?
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?
What fundamental data types are required to compute the three-dimensional coordinates of target objects using LiDAR?
What fundamental data types are required to compute the three-dimensional coordinates of target objects using LiDAR?
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?
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?
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)?
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)?
In a LiDAR point cloud, what additional information is typically associated with each 3D coordinate (x, y, z) to enhance data interpretation?
In a LiDAR point cloud, what additional information is typically associated with each 3D coordinate (x, y, z) to enhance data interpretation?
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?
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?
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?
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?
Why are widely available Digital Elevation Models (DEMs) often inadequate for detailed geomorphic analysis?
Why are widely available Digital Elevation Models (DEMs) often inadequate for detailed geomorphic analysis?
What does the 'intensity' value associated with each point in a LiDAR point cloud primarily represent?
What does the 'intensity' value associated with each point in a LiDAR point cloud primarily represent?
Flashcards
2.5D Map
2.5D Map
A representation where each (East, North) coordinate pair has only one height (Z) value.
True 3D Model
True 3D Model
A representation where each (North, East) coordinate pair can have multiple height (Z) values.
LiDAR Definition
LiDAR Definition
A remote sensing tech using light beams to measure distances to objects.
Airborne Laser Scanning (ALS)
Airborne Laser Scanning (ALS)
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ALS Systems (LiDAR)
ALS Systems (LiDAR)
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Point Cloud
Point Cloud
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Digital Terrain Model (DTM)
Digital Terrain Model (DTM)
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Digital Surface Model (DSM)
Digital Surface Model (DSM)
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Digital Elevation Model (DEM)
Digital Elevation Model (DEM)
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LiDAR Range Measurement
LiDAR Range Measurement
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LiDAR Data Sources
LiDAR Data Sources
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Main Use of ALS (LiDAR)
Main Use of ALS (LiDAR)
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Benefit of ALS Resolution
Benefit of ALS Resolution
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LiDAR development in 1970s
LiDAR development in 1970s
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LiDAR in the 1980s
LiDAR in the 1980s
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LiDAR in the 1990s
LiDAR in the 1990s
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LiDAR in the 2000s
LiDAR in the 2000s
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LiDAR components accuracy
LiDAR components accuracy
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USGS 30m DEM
USGS 30m DEM
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Sub-meter DEM resolution
Sub-meter DEM resolution
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ALS System Components
ALS System Components
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Laser Scanner Function in ALS
Laser Scanner Function in ALS
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GNSS Receiver in ALS
GNSS Receiver in ALS
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IMU/INS in ALS
IMU/INS in ALS
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ALS Applications
ALS Applications
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Typical LiDAR Flight Parameters
Typical LiDAR Flight Parameters
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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
Explore LiDAR technology, its evolution, and applications in creating 2.5D and true 3D models. Understand the key differences between these representations and the advantages of using true 3D models, focusing on component accuracy and real-world scenarios.