Multi-wavelength airborne laser scanning

Slides:



Advertisements
Similar presentations
Remote Sensing andGIS.
Advertisements

Cloud Radar in Space: CloudSat While TRMM has been a successful precipitation radar, its dBZ minimum detectable signal does not allow views of light.
ESTO Advanced Component Technology 11/17/03 Laser Sounder for Remotely Measuring Atmospheric CO 2 Concentrations GSFC CO 2 Science and Sounder.
7. Radar Meteorology References Battan (1973) Atlas (1989)
1 Transmission Fundamentals Chapter 2 (Stallings Book)
Lecture 12 Content LIDAR 4/15/2017 GEM 3366.
INTERGEO September 2011, Nürnberg
Some Basic Concepts of Remote Sensing
Electromagnetic Radiation Electromagnetic Spectrum Radiation Laws Atmospheric Absorption Radiation Terminology.
Class 8: Radiometric Corrections
Airborne Laser Scanning: Remote Sensing with LiDAR.
Remote sensing in meteorology
Hyperspectral Imagery
Introduction to Remote Sensing The Electromagnetic (EM) Spectrum.
ASIC3 WorkshopLandsdowne, VA May 16-18, 2006 J. Harder Page 1 Calibration Status of the Solar Irradiance Monitor (SIM) : The Present and the Future Jerald.
Active Microwave and LIDAR. Three models for remote sensing 1. Passive-Reflective: Sensors that rely on EM energy emitted by the sun to illuminate the.
Energy interactions in the atmosphere
Lecture 2 Photographs and digital mages Friday, 7 January 2011 Reading assignment: Ch 1.5 data acquisition & interpretation Ch 2.1, 2.5 digital imaging.
Integration of sensors for photogrammetry and remote sensing 8 th semester, MS 2005.
Modern Remote Sensing: Imagery, Capabilities, Possibilities Paul F. Hopkins Workshop on Advanced Technologies.
Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute.
Fundamentals of Satellite Remote Sensing NASA ARSET- AQ Introduction to Remote Sensing and Air Quality Applications Winter 2014 Webinar Series ARSET -
Satellite basics Estelle de Coning South African Weather Service
Satellites and Sensors
Lidar Profiling of the Atmosphere
Geography 1010 Remote Sensing. Outline Last Lecture –Electromagnetic energy. –Spectral Signatures. Today’s Lecture –Spectral Signatures. –Satellite Remote.
What is remote sensing? “the acquisition and measurement of data/information on some property(ies) of a phenomenon, object, or material by a recording.
1. What is light and how do we describe it? 2. What are the physical units that we use to describe light? 1. Be able to convert between them and use.
Remote Sensing Microwave Remote Sensing. 1. Passive Microwave Sensors ► Microwave emission is related to temperature and emissivity ► Microwave radiometers.
Radiometric and Geometric Correction
Blue: Histogram of normalised deviation from “true” value; Red: Gaussian fit to histogram Presented at ESA Hyperspectral Workshop 2010, March 16-19, Frascati,
MMS/MLS – Mobile Mapping and Mobile Laser Scanning System 4th ISPRS SC and WG VI/5 Summer School, Warsaw 2009.
Spectral Characteristics
Active Microwave and LIDAR. Three models for remote sensing 1. Passive-Reflective: Sensors that rely on EM energy emitted by the sun to illuminate the.
Remote Sensing and Image Processing: 7 Dr. Hassan J. Eghbali.
SCM 330 Ocean Discovery through Technology Area F GE.
Chapter 4. Remote Sensing Information Process. n Remote sensing can provide fundamental biophysical information, including x,y location, z elevation or.
Electromagnetic Radiation Most remotely sensed data is derived from Electromagnetic Radiation (EMR). This includes: Visible light Infrared light (heat)
Károly Róbert College The GREEN College. Remote sensing applications in disaster management Tibor Bíró dean Károly Róbert College Faculty of Natural Resources.
RASTERTIN. What is LiDAR? LiDAR = Light Detection And Ranging Active form of remote sensing measuring distance to target surfaces using narrow beams of.
MULTI-FREQUENCY, MULTI-POLARIZATION AND ANGULAR MEASUREMENTS OF BARE SOIL, SNOW AND WATER ICE MICROWAVE REFLECTION AND EMISSION BY C-, Ku-, AND Ka-BAND,
NASA ESTO ATIP Laser Sounder for Remotely Measuring Atmospheric CO 2 Concentrations 12/12/01 NASA Goddard - Laser Remote Sensing Branch 1 James B. Abshire,
Hyperspectral remote sensing
NASA’s Coastal and Ocean Airborne Science Testbed (COAST) L. Guild 1 *, J. Dungan 1, M. Edwards 1, P. Russell 1, S. Hooker 2, J. Myers 3, J. Morrow 4,
A new method for first-principles calibration
Remote Sensing Waves transport energy. According to quantum theory, light may be considered not only as an electro-magnetic wave but also as a "stream"
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR) Earth Science Division - NASA Ames Research Center 2006 A concept for a sun-sky.
Active Remote Sensing for Elevation Mapping
SCM x330 Ocean Discovery through Technology Area F GE.
U NIVERSITY OF J OENSUU F ACULTY OF F ORESTRY Introduction to Lidar and Airborne Laser Scanning Petteri Packalén Kärkihankkeen ”Multi-scale Geospatial.
UNIT 2 – MODULE 5: Multispectral, Thermal & Hyperspectral Sensing
Integrating LiDAR Intensity and Elevation Data for Terrain Characterization in a Forested Area Cheng Wang and Nancy F. Glenn IEEE GEOSCIENCE AND REMOTE.
METR Advanced Atmospheric Radiation Dave Turner Lecture 11.
Electromagnetic Radiation
Multispectral laser scanning: an overview Mark Danson & Fadal Sasse Ecosystems and Environment Research Centre, School of Environment and Life Sciences,
Visit for more Learning Resources
Hyperspectral Sensing – Imaging Spectroscopy
GEOGRAPHIC INFORMATION SYSTEMS & RS INTERVIEW QUESTIONS ANSWERS
Multi-footprint Airborne LiDAR Data in Forest Vegetation
Hyperspectral Remote Sensing
Semi-arid Ecosystem Plant Functional Type and LAI from Small Footprint Waveform Lidar Nayani Ilangakoon, Nancy F. Glenn, Lucas.
James Donahue EE 444 Fall LiDAR James Donahue EE 444 Fall
GAJENDRA KUMAR EC 3rd YR. ROLL NO
Changchun Institute of Optics Fine Mechanics and Physics
Validation of airborne 1
Introduction and Basic Concepts
REMOTE SENSING.
Remote sensing in meteorology
Presentation transcript:

Multi-wavelength airborne laser scanning ILMF 2011, New Orleans Dr. Andreas Ullrich CTO, RIEGL LMS GmbH

introduction: components of ALS systems full waveform analysis vs. online waveform processing primary and secondary ALS data products discussion multi-spectral, hyper-spectral, multi-wavelength selection criteria for laser wavelength availability of laser sources target properties signal attenuation, background radiation laser safety classification of multi-wavelength data / systems conclusions contents

components of ALS systems RIEGL VQ-820-G RIEGL VQ-580 RiACQUIRE RIEGL LMS-Q680i DA42-MPP RiPROCESS RIEGL DR-680 IMU & GPS Flight Guidance components of ALS systems

state-of-the-art echo waveform digitizing systems RIEGL VQ-820-G R A W R A RIEGL VQ-580 Q-560/Q-680i dev Full Waveform analysis range: R [m] amplitude: A [LSB and linearized] echo width: W [ns] On-Line Waveform Processing range: R [m] calibrated amplitude: A [dB] calibrated reflectance: r [dB] pulse shape deviation: dev [1] state-of-the-art echo waveform digitizing systems

primary data: point cloud RIEGL LMS-Q680i, wavelength 1550 nm dry conditions wet snow primary data: point cloud

primary data: point cloud RIEGL VQ-580 wavelength 1064 nm pulse shape deviation from expected pulse shape RIEGL VQ-580 wavelength 1064 nm reflectance in dB above white diffusely reflecting target RIEGL VQ-580 wavelength 1064 nm amplitude in dB above detection threshold primary data: point cloud

images at different wavelengths 1064 nm visible visible 532 nm 1064 nm 1550 nm 1550 nm 532 nm images at different wavelengths

radiometric calibration Laser Radar Cross Section (LRCS) cross section  in [m²] area-normalized cross section values in [m²m-2] or [dB] by laser footprint area:  by illuminated object area: 0 actual geometric cross- section of target interacting with laser beam reflectance directivity of backscattered reflection Radiometric calibration of small-footprint airborne laser scanner measurements: Basic physical concepts, Wagner, W., ISPRS Journal of Photogrammetry and Remote Sensing, 65, 2010. radiometric calibration

radiometric calibration

multispectral/hyperspectral imaging vs. multi-wavelength ALS 400 nm 800 nm 1200 nm 1600 nm multispectral imaging hyperspectral imaging multi- wavelength lidar 532 nm 905 nm 1064 nm 1550 nm hyperspectral lidar supercontinuum laser (500 nm – 2400 nm) array of receiver channels and ROIC multispectral/hyperspectral imaging vs. multi-wavelength ALS

wavelength selection criteria for ALS sensors pulsed time-of-flight laser ranging: best performance wrt maximum range, measurement speed, ranging precision and accuracy selection of wavelength availability of suitable laser and detector reflectance of objects attenuation of atmosphere and background radiation laser safety laser requirements short pulse width (multi-target resolution, high precision) high peak power (maximum range) good beam quality (beam divergence, spatial resolution) high pulse repetition rate (point density) narrow spectral width (background rejection) detector requirements high bandwidth (corresponds to pulse width) high sensitivity (maximum range) low noise (high precision) airborne laser scanning makes use of pulsed time-of-flight laser ranging (best figure of merit taking into account maximum range, measurement speed, ranging precision and accuracy) traditionally high-power mid-pulse-repetition rate monochromatic sources in use selection of wavelength governed by availability of suitable laser and detector, but also by reflectance of objects, attenuation of atmosphere and background radiation, laser safety requirements on laser: short pulse width (multi-target resolution, high precision), high peak power (maximum range), good beam quality (beam divergence, spatial resolution), high pulse repetition rate (point density), narrow spectral width (background rejection), etc. requirements on detector: high bandwidth (corresp. pulse width), high sensitivity (max. range), etc. wavelength selection criteria for ALS sensors

solid state lasers (fundamental wavelength), Nd:YAG, 1064 nm 200 400 600 800 1000 1200 1400 1600 1800 2000 UV INFRARED diode 905 nm solid state 355 nm 532 nm 1064 nm fiber 532 nm 1064 nm 1550 nm 2050 nm diode lasers, 905 nm solid state lasers (fundamental wavelength), Nd:YAG, 1064 nm solid state lasers (harmonics), Nd:YAG, 532 nm, (355 nm) fiber lasers, Er-doped, 1.55 µm fiber lasers, Yt-doped, 1.06 µm fiber lasers, Ho-doped, 2.05 µm frequency-doubled fiber lasers, 532 nm suitable laser sources

target reflectance versus wavelength 532 nm 905 nm 1064 nm 1550 nm relative reflectance [%] wavelength [µm] target reflectance versus wavelength

background radiation versus wavelength solar spectral irradiance at zenith sun angle 60° at sea level 1400 corresponds to spectrum of sun light absorption due to ozone (O3) , water vapor (H2O), oxygen (O2), carbon dioxide (C02) 1200 532 nm 1000 800 solar irradiance [W/m²µm] 600 1064 nm 400 905 nm 1550 nm 200 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 wavelength [µm] background radiation versus wavelength

atmospheric attenuation versus wavelength transmittance of 1000 feet horizontal air path (sea level) 532 nm 1064 nm 905 nm 1550 nm atmospheric transmission 20 km, one way visibility 23 km, 10 km, 5 km transmittance [%] wavelength [µm] atmospheric attenuation versus wavelength

attenuation in water versus wavelength absorption coefficient of clear seawater attenuation at depth 10 m attenuation at depth 0.1 m attenuation at depth 1 mm 0.1 0.2 0.4 0.6 0.8 1.0 2.0 4.0 6.0 8.0 10 wavelength [µm] absorption coefficient [cm-1] 10 000 1 000 100 10 1 0.1 0.01 0.001 0.0001 visible infrared ultraviolet 0.1 dB 1 dB 10 dB 0.01 dB 100 dB 53 dB 0.53 dB 50 dB 10 dB 100 dB 1 dB 0.1 dB 0.01 dB 3.8 dB 0.038 dB attenuation in water versus wavelength

laser safety considerations MPE: maximum permissible exposure 1550 nm 1064 nm 905 nm 532 nm 355 nm parameter: exposure duration / pulse width laser safety considerations

Laser Classes / NOHD / ENOHD RIEGLLMS-Q680i @ 80kHz RIEGL VQ-580 @ 50kHz RIEGL VQ-820-G @ 100kHz Laser Safety Standards NOHD, eNOHD NOHD eNOHD NOHD eNOHD EN60825 21CFR1040.10 class 1 class I class 1M - class 2 class II class 2M class 3R class IIIA class 3B class IIIB class 4 class IV 0m 1.5m 15m 80m 10m 105m 500m 1600m 1600m 1600m max. range @ reflectance 20% 2000m 2000m 2000m Range [m] max. range @ reflectance 80% NOHD (nominal ocular hazard distance): distance beyond which exposure becomes less than maximum permissible exposure (MPE) extended NOHD: includes the possibility of optically-aided viewing Laser Classes / NOHD / ENOHD

classification of multi-wavelength ALS description same area common platform common scanner same IFOV synchronized pulses data set from two different campaigns X data from several laser scanners on same platform several LIDARs sharing the same scanner co-axial beams having thus the same instantaneous field-of-view additionally pulses of LIDARs are synchonized increasing sensor/system complexity increasing flexibility classification of multi-wavelength ALS

for hydrography, ad 532 nm LIDAR select scanner model (wavelength) according to target characteristics, mission requirements, laser safety requirements, ...  wide variety of applications covered by eye-safe 1550 nm ALS scanners (e.g., RIEGL LMS-680i and RIEGL VQ-480) for special applications, e.g., forest health investigations integrate two or more scanners with different wavelength on a single platform  providing flexible “multi-wavelength” system (e.g., RIEGL VQ-480 at 1550 nm and RIEGL VQ-580 at 1064 nm) for hydrography, ad 532 nm LIDAR regardless of wavelength: echo-digitizing pulsed time-of-flight systems provide utmost accuracy, multi-target resolution and calibrated (calibratable) amplitudes and target’s cross-section conclusions