active remote sensing systems march 2, 2005 finish radar background rationale lidar hydrological...

• Finish RADAR• Background• Rationale• LIDAR• Hydrological Modeling

• For Monday: Read 1st half of Chapter 11

LIDAR and NC Flood Mapping

RADAR Relief Displacement, Image Foreshortening, and Shadowing

RADAR Relief Displacement, Image Foreshortening, and Shadowing

Geometric distortions exist in almost all radar imagery, including :

• foreshortening,

• layover, and

• shadowing.

Geometric distortions exist in almost all radar imagery, including :

• foreshortening,

• layover, and

• shadowing.

Jensen, 2000Jensen, 2000

Forshortening, Layover, and

Shadow

Forshortening, Layover, and

Shadow


ForeshorteningForeshortening

a. b.C-band ERS-1 depression angle =67Þ

look angle = 23Þ

L-band JERS-1 depression angle =54Þ

look angle = 36Þ

look direction

c. d.X - band Aerial Photographlook direction N

a. b.C-band ERS-1 depression angle =67Þ

look angle = 23Þ

L-band JERS-1 depression angle =54Þ

look angle = 36Þ

look direction

c. d.X - band Aerial Photographlook direction N Jensen, 2000Jensen, 2000

RADAR ShadowsRADAR Shadows

Shadows in radar images can enhance the geomorphology and texture of the terrain. Shadows can also obscure the most important features in a radar image, such as the information behind tall buildings or land use in deep valleys. If certain conditions are met, any feature protruding above the local datum can cause the incident pulse of microwave energy to reflect all of its energy on the foreslope of the object and produce a black shadow for the backslope.

Shadows in radar images can enhance the geomorphology and texture of the terrain. Shadows can also obscure the most important features in a radar image, such as the information behind tall buildings or land use in deep valleys. If certain conditions are met, any feature protruding above the local datum can cause the incident pulse of microwave energy to reflect all of its energy on the foreslope of the object and produce a black shadow for the backslope.


Foreshortening, Layover, and

Shadow

Foreshortening, Layover, and

Shadow


Shuttle Imaging Radar (SIR-C) Image of MauiShuttle Imaging Radar (SIR-C) Image of Maui


Surface Roughness in RADAR Imagery

Surface Roughness in RADAR Imagery

Expected surface roughness back-scatter from terrain illuminated with 3 cm wavelength

microwave energy with a depression angle of 45˚.

Expected surface roughness back-scatter from terrain illuminated with 3 cm wavelength

microwave energy with a depression angle of 45˚.


Shuttle Imaging Radar (SIR-C) Image of Los Angeles

Shuttle Imaging Radar (SIR-C) Image of Los Angeles


Aerial Photography and RADAR Imagery of the

Pentagon in Washington, DC

Aerial Photography and RADAR Imagery of the

Pentagon in Washington, DC


a. Oblique Photograph of the Pentagon

b. Radar Image of the Pentagon

a. Oblique Photograph of the Pentagon

b. Radar Image of the Pentagon

Intermap X-band Star 3i Orthorectified Image of Bachelor Mountain, CA and Derived Digital Elevation Model

Intermap X-band Star 3i Orthorectified Image of Bachelor Mountain, CA and Derived Digital Elevation Model


Synthetic Aperture Radar SystemsSynthetic Aperture Radar Systems

A major advance in radar remote sensing has been the improvement in azimuth resolution through the development of synthetic aperture radar (SAR) systems. Engineers have developed procedures to synthesize a very long antenna electronically. Doppler principles are then used to monitor the returns from all these additional microwave pulses to synthesize the azimuth resolution to become one very narrow beam.

A major advance in radar remote sensing has been the improvement in azimuth resolution through the development of synthetic aperture radar (SAR) systems. Engineers have developed procedures to synthesize a very long antenna electronically. Doppler principles are then used to monitor the returns from all these additional microwave pulses to synthesize the azimuth resolution to become one very narrow beam.


Synthetic Aperture Radar SystemsSynthetic Aperture Radar Systems

The Doppler principle states that the frequency (pitch) of a sound changes if the listener and/or source are in motion relative to one another.

• An approaching train whistle will have an increasingly higher frequency pitch as it approaches. This pitch will be highest when it is directly perpendicular to the listener (receiver). This is called the point of zero Doppler. As the train passes by, its pitch will decrease in frequency in proportion to the distance it is from the listener (receiver). This principle is applicable to all harmonic wave motion, including the microwaves used in radar systems.

The Doppler principle states that the frequency (pitch) of a sound changes if the listener and/or source are in motion relative to one another.

• An approaching train whistle will have an increasingly higher frequency pitch as it approaches. This pitch will be highest when it is directly perpendicular to the listener (receiver). This is called the point of zero Doppler. As the train passes by, its pitch will decrease in frequency in proportion to the distance it is from the listener (receiver). This principle is applicable to all harmonic wave motion, including the microwaves used in radar systems.


Synthetic Aperture RadarSynthetic Aperture Radar



9 8 7 6 5 4 3 2 1

time n

time n+4time n+3

time n+2

pulses of microwave energy

interference signal

radar hologram

a.b. c.

d. e.

8 7

6.5 7

9 9 8 9 8 7

78 9 78 9 6.5 6.5 7

time n+1

object is a constant distance from the flightline

9 8 7 6 5 4 3 2 1

time n

time n+4time n+3

time n+2

pulses of microwave energy

interference signal

radar hologram

a.b. c.

d. e.

8 7

6.5 7

9 9 8 9 8 7

78 9 78 9 6.5 6.5 7

time n+1

object is a constant distance from the flightline

Synthetic ApertureRADAR

Synthetic ApertureRADAR

Creation of the RADAR Image

Creation of the RADAR Image


coherent lightradar

hologram

image of object

9 8 7

9 8 7 6.5 7 8 etc.

etc.

coherent lightradar

hologram

image of object

9 8 7

9 8 7 6.5 7 8 etc.

etc.

• What is LIDAR? What is it used for?

• The state of NC, along with FEMA, initiated a massive floodplain mapping project in 2001• Plan to map the entire state – 48,700 sq. mi. by 2006 at 20 to 25 cm accuracy!• Total expenditure expected to be $65 million • http://www.ncfloodmaps.com/

LIDAR Background

• Good maps save lives and money• Digital Flood Insurance Rate Maps (DFIRMs) are one of the products

– Help insurance companies to establish flood insurance rates– Assist state and local governments enforce no construction zones– US Army Corps of Engineers to design placement of new dams and levees

Rationale

• State and federal officials agree that much of the devastation in eastern NC could have been avoided with more accurate DFIRMS– 55 percent of available flood maps are 10 years old– many were made with errors as large as 25 feet!

Rationale (cont’d)

• LIDAR (Light Detection and Ranging) is well suited for this project for a number of reasons:– High accuracy– Measurements are acquired in a matter of seconds for thousands of points less than five meters apart (high spatial resolution)– Can be operated in anytime of the day, which leads to greater flexibility

LIDAR

• Using the new elevation data, it will be possible to model the magnitude and direction of flow during 50, 100, and 500-year flood events• Flood plain boundaries can then be approximated using three different scenarios• Maps are distributed online

Hydrological Modeling

LIDAR Laser and Scanning SystemLIDAR Laser and Scanning System

The LIDAR instrument consists of a system controller and a transmitter and receiver. As the aircraft moves forward along the line-of-flight, a scanning mirror directs pulses of laser light across-track perpendicular to the line-of-flight.

The LIDAR instrument consists of a system controller and a transmitter and receiver. As the aircraft moves forward along the line-of-flight, a scanning mirror directs pulses of laser light across-track perpendicular to the line-of-flight.


LIDAR Data CollectionLIDAR Data Collection


LIDAR systems used for topographic mapping use eye-safe near-infrared laser light in the region from 1040 to 1060 nm.

Blue-green lasers centered at approximately 532 nm are used for bathymetric mapping due to their water penetration capability.

LIDAR data can be collected at night if necessary because it is an active system, not dependent on passive solar illumination.

LIDAR systems used for topographic mapping use eye-safe near-infrared laser light in the region from 1040 to 1060 nm.

Blue-green lasers centered at approximately 532 nm are used for bathymetric mapping due to their water penetration capability.

LIDAR data can be collected at night if necessary because it is an active system, not dependent on passive solar illumination.



LIDAR systems can emit pulses at rates >100,000 pulses per second referred to as pulse repetition frequency. A pulse of laser light travels at c, the speed of light (3 x 108 m s-1). LIDAR technology is based on the accurate measurement of the laser pulse travel time from the transmitter to the target and back to the receiver. The traveling time of a pulse of light, t, is:

where R is the range (distance) between the LIDAR sensor and the object. The range, R can be determined by rearranging the equation:

LIDAR systems can emit pulses at rates >100,000 pulses per second referred to as pulse repetition frequency. A pulse of laser light travels at c, the speed of light (3 x 108 m s-1). LIDAR technology is based on the accurate measurement of the laser pulse travel time from the transmitter to the target and back to the receiver. The traveling time of a pulse of light, t, is:

where R is the range (distance) between the LIDAR sensor and the object. The range, R can be determined by rearranging the equation:


c

Rt 2

tcR2

1


The range measurement process results in the collection of elevation data points (commonly referred to as masspoints) arranged systematically in time across the flightline. The example displays masspoints associated with the ground, several powerlines, a pole, and tree canopy.

The range measurement process results in the collection of elevation data points (commonly referred to as masspoints) arranged systematically in time across the flightline. The example displays masspoints associated with the ground, several powerlines, a pole, and tree canopy.


Masspoints Used to Create LIDAR-derived IDW Bare Earth DEMMasspoints Used to Create LIDAR-derived IDW Bare Earth DEM

The equivalent of locating 75,000 surveyors in the field per second.The equivalent of locating 75,000 surveyors in the field per second.


The maximum off-nadir scan angle can be adjusted to meet the needs of a data-collection mission. The greater the scan angle off-nadir, the more vegetation that will have to be penetrated to receive a pulse from the ground assuming a uniform canopy.

The maximum off-nadir scan angle can be adjusted to meet the needs of a data-collection mission. The greater the scan angle off-nadir, the more vegetation that will have to be penetrated to receive a pulse from the ground assuming a uniform canopy.



LIDAR data may be used to prepare digital terrain or digital surface models such as the one shown which was used to identify the optimum location for a new railroad line near Aiken, SC.

LIDAR data may be used to prepare digital terrain or digital surface models such as the one shown which was used to identify the optimum location for a new railroad line near Aiken, SC.


LIDAR Return LogicLIDAR Return Logic

• 1st return• n intermediate

returns• Last return

• 1st return• n intermediate

returns• Last return

Case StudyCase Study

LIDAR (LIght Detection and Ranging)LIDAR (LIght Detection and Ranging)

AS350BA LIDAR PlatformAS350BA LIDAR Platform

Sensor Systems and LIDAR

Sensor Systems and LIDAR

3D Visualization of LIDAR Data 3D Visualization of LIDAR Data

Vertical Exaggeration Factor = 5

Bridgestone/Firestone Tire PlantAiken, SC

1:12,000 color infrared aerial photography obtained on

August 21, 1998

Bridgestone/Firestone Tire PlantAiken, SC

1:12,000 color infrared aerial photography obtained on

August 21, 1998

Model Logic Model Logic

Total Cost Surface and Optimal RouteTotal Cost Surface and Optimal Route

Vertical Exaggeration Factor = .01

Routes Derived from Traditional Methods and from the Optimal Path Model

Routes Derived from Traditional Methods and from the Optimal Path Model

Vertical Exaggeration Factor = 5

N.S. Route

Model Route

Existing RR

Classification of Landcover based solely on LIDAR-

derived Elevation, Slope, and Intensity

• blue = buildings• green = grass• pink = vegetation

Classification of Landcover based solely on LIDAR-

derived Elevation, Slope, and Intensity

• blue = buildings• green = grass• pink = vegetation

active remote sensing systems march 2, 2005 finish radar background rationale lidar hydrological...

Documents

radar imagery

foreshortening jensen

radar images

radar shadows shadows

shadow jensen

radar remote sensing

image foreshortening

radar relief displacement