2016 asprs track: overview and user perspective of usgs 3 dep lidar by john kosovich
TRANSCRIPT
Overview and User Perspective
of 3DEP LidarJohn J. Kosovich
U.S. Geological SurveyDenver, CO
[email protected] 22, 2016
Disclaimer
Any use of trade, product, or firm names is for descriptive purposes
only and does not imply endorsement by the U.S.
Government.
TerminologyIfSAR = interferometric synthetic aperture radar - Radar = radio detection and ranging. - Radar (microwave) pulses spread over surface perpendicular to airplane (side look). - Accurate DEM obtained from phase difference & timing of returning pulses. - Also get Radar DOQ (ORI) from magnitude (intensity) of returning pulses. - Active sensing: can collect at night. - Can see through typical cloud cover.
lidar = light detection and ranging (topographic) - Laser pulse hits surface thousands of times each second as airplane flies. - Main product is an irregularly spaced “point-cloud” of lidar hits (“returns”). - Very accurate gridded DEM is derived from ground returns. - Can get lidar intensity image (ortho-rectified, grayscale). - Active sensing: can collect at night. - Cannot see through typical cloud cover. - Typically called “linear lidar”. - Also have bathymetric lidar, uses different wavelength to penetrate water.
- Latest technologies: multispectral, single-photon (SP), and Geiger-mode (GM) lidar.
From EarthData, Inc. original
• Lidar = light detection and ranging
• Active sensing: can collect at night
• Cannot “see” through typical cloud cover
• Timing of returned pulse gives elevation
• Magnitude of returned pulse gives intensity
• Minimum of thousands of pulses per second (KhZ+)
• Multiple returns potentially from each transmitted pulse
Lidar Collection
From EarthData, Inc. original
Multiple Returns per pulseMultiple Returns
Lidar Terminology“Linear” = traditional, where laser pulses are sent and returned in sequence. Can be aerial-, tripod-, or satellite-based.
Terrestrial = tripod, close range, extremely dense (~1000s of points / m ).
Waveform = Entire pulse’s returned energy signature digitized, peaks typically become the discrete points. Waveforms are not always saved unless required by customer.
Discrete returns = Points from pulse where returned energy from waveform is greatest.
Multiple returns = each pulse may hit more than one object and continue down, resulting in several discrete returns (points) per pulse.
Point cloud = all returns from all pulses. Points located in X,Y,Z coordinate space.
Point density = nominal number of points per unit area (2D space, usually 1st returns).
Point (pulse) spacing = nominal spacing between points (2D space, usually 1st returns).
DSM = digital surface model, gridded raster, contains canopy, buildings, etc.
DTM = digital terrain model, gridded raster, bare-earth ground DEM.
Intensity = grayscale raster made from energy intensity of return points.
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Waveform vs. Discrete
Courtesy of Optech, Incorporated and Remote Sensing Open Access JournalUssyshkin, V., and Theriault, L., Airborne Lidar: Advances in Discrete Return Technology for 3D Vegetation Mapping. Remote Sens. 2011, 3, 416-434, Figure 6.
Gridded Lidar DEMs (canopy height model and bare-earth ground) do not contain true 3D structure, but the point cloud does:
Why Use Point Cloud?
Lidar digital surface model (DSM) = Canopy Height Model (CHM)
for forested areas
Lidar point cloud
Lidar digital terrain model (DTM) = bare-earth ground surface
X-band IfSAR
Typical lidar:topo ~1064 nm,bathy ~400 - 532 nm
Electromagnetic Spectrum
P-band IfSAR
EM spectrum image from Intermap Technologies, Inc. original
Electromagnetic Spectrum
EM spectrum image from Intermap Technologies, Inc. original
Time
Time
Longer wavelength, lower frequency (wave)Lower photon energy (quantum particle)
Shorter wavelength, higher frequency (wave)Higher photon energy (quantum particle)
Speed of light ≈ 3.0 x 10 meters/sec ≈ (186,000 miles/sec)
c = λ x ν = wavelength x frequency
8
(in a vacuum)
10m USGS DEM
1m Lidar Terrain Model
DEM Horizontal Resolution
10m
2m
30m
1m
Photo by John Kosovich, USGS
3DEP(3D Elevation Program)
Products
3DEP Productshttp://nationalmap.gov/3DEP
3DEP Products
3DEP Products
3DEP Products
3DEP Product Availabilityhttp://nationalmap.gov/3DEP
3DEP Product Availabilityhttp://nationalmap.gov/3DEP/3dep_prodavailability.html#/
3DEP Product Availability
3DEP Product Availability
3DEP Product Availability
3DEP Quality Level (QL)Point density = nominal number of points per unit area (pts/m ).
Point (pulse) spacing = nominal spacing between points (m).
2
point density =1
(point spacing) 2point spacing =
1
point density
0 1m 2
QL1: 8 pts/m density 0.35m spacing
2
0 1m 2
QL2: 2 pts/m density 0.7m spacing
2
0 1m 2
QL3: 0.5 pts/m density 1.4m spacing
2
3DEP Product Availability
3DEP Product Availability
3DEP Product Availability
3DEP Product Availability
3DEP Product Availability
3DEP Product Availability
3DEP Product Availability
3DEP Product Availability
3DEP Product Availability
3DEP Product Availability
3DEP Product Downloadhttp://nationalmap.gov/3DEP/3dep_prodavailability.html#/
http://viewer.nationalmap.gov/basic/?basemap=b1&category=ned,nedsrc&title=3DEP%20View
3DEP Product Download
http://viewer.nationalmap.gov/basic/?basemap=b1&category=ned,nedsrc&title=3DEP%20View
3DEP Product Download
http://viewer.nationalmap.gov/basic/?basemap=b1&category=ned,nedsrc&title=3DEP%20View
3DEP Product Download
3DEP ProductsDelivered By Vendor
NGP Lidar Deliverables
Required by USGS Lidar Base Spec v1.2 (2014):http://pubs.usgs.gov/tm/11b4/
Quality Level 2 or better (0.7m spacing, 2 pts/m )Raw Point Cloud (flight line swaths, .LAS file format)Classified Point Cloud (tiled .LAS as per project, includes intensity values for each return)Bare-Earth Surface DEM (= DTM, 32-bit raster format)Breaklines used in hydro-flattening (ESRI vector)Metadata (FGDC-compliant)
2
Raw Point Cloud
All points are unclassified
Classified Point Cloud
Point Cloud ClassesRequired by USGS Lidar Base Specification 1.2 (pg. 11)
Point Cloud ClassesASPRS LAS Specification, Version 1.4 – R13, July 15, 2013, pg. 17
http://www.asprs.org/a/society/committees/standards/LAS_1_4_r13.pdf
Lidar Point Cloud
Noise hit: ~400 m (~1300 ft) above
ground(Not classified as Noise, had to be
edited)
Noise hit: ~700 m (~2300 ft) below
ground(Not classified as Noise, had to be
edited)
Contrails ~2000m (~6500 ft) above
ground:(These were
classified as Noise by vendor)
Noise (2011 ARRA)
Classified Point Cloud
Non-Lidar Comparison Image(not a deliverable product)
Lidar Digital Terrain Model (DTM)
ProductsDerivable
FromPoint Cloud
Lidar Digital Surface Model (DSM)
Lidar Digital Terrain Model (DTM) - from Vendor
DSM-DTM Diff GridOutput product -- Lidar Digital Surface Model minus Digital Terrain Model difference surface
DSM-DTM Diff ImageOutput product -- 5-color Digital Surface Model minus Digital Terrain Model difference image
DSM-DTM Diff ImageInteractive ArcMap transparency over DSM hillshade
DSM – DTM DifferenceDifference surface derived from lidar: normalized (topography removed) canopy heights above
ground
Edited Point Cloud
Lidar Intensity – 1st Returns
Lidar Intensity – 2nd Returns
Lidar Intensity – 3rd Returns
Lidar Intensity – Last Returns
11-band Image Derived from Lidar Intensity
Bands 11,1,4 as R,G,B: unaltered 1st returns, 1st -to-Last returns, 2nd-to-Last returns ratios
Delineate Features for MapBands 11,1,4 as R,G,B: unaltered 1st returns, 1st -to-Last returns, 2nd-to-Last returns ratios
Make MapPolygons solely from lidar intensity images, power lines from point cloud, hillshade from DTM)
Ü
Comparison ImageArcGIS Basemap image
LatestLidar
Technologies
Multispectral Lidar
From Teledyne Optech: http://www.teledyneoptech.com/index.php/product/titan/
IR 1550 nmNIR 1064 nmBathy 532 nm
Single Photon (SP)Single Photon Counting Lidar - Sigma Space Corporation (Hexagon Geospatial) developed HRQLS (high resolution quantum lidar system). - 532nm green laser transmitted pulses are diffracted into 10 x 10 beamlets. - Receiver array can detect single photons. - Topographic and bathymetric collection. - Decent vegetation penetration (per USGS evaluation reported at 2016 ILMF). - Company has since improved HRQLS for better vegetation penetration. - Reflectance image made from photon count per pixel, ~ similar to intensity image from “linear” lidar.
Courtesy of Sigma Space Corp. and LaserFocusWorldhttp://www.laserfocusworld.com/articles/print/volume-47/issue-9/world-news/lidar-photon-counting-3d-imaging-lidar-measures-biomass-and-the-cryosphere.html
Geiger-Mode (GM)Geiger-Mode Lidar - Harris Corporation developed IntelliEarth sensor (Palmer scanner, SP Avalanche Photodiode). - 1064nm IR laser pulses produce elliptical sweep over flight line. - Sensor samples the same ground area multiple times. - Multi-angle illumination of target area. - Receiver consists of 32 x 128 array of photon-counting detectors (= 4096 total). - Topographic collection. - Poor vegetation penetration (per USGS evaluation), but improvements promised. - Reflectance image made from photon count per pixel, ~ similar to intensity image from “linear” lidar.
TM
Courtesy of Harris Corporationhttp://asprs.org/a/publications/proceedings/IGTF2015/5H[4]-slides.pdf
SP and GM LinksILMF Write-up of USGS Evaluation Report:http://www.spar3d.com/news/lidar/single-photon-and-geiger-mode-vs-linear-mode-lidar/
Single Photon Lidar:http://www.spar3d.com/news/lidar/single-photon-lidar-proven-forest-mapping/
Geiger Mode Lidar:http://asprs.org/a/publications/proceedings/IGTF2015/5H[4]-slides.pdf
TerrestrialLidar
(Not in 3DEP)
Photo by John Kosovich, USGS
Terrestrial Laser Scanning
Photo by John Kosovich, USGS
Spherical Targets
Slide by John Kosovich, USGS
Terrestrial Lidar Data
Terrestrial and Aerial Lidar
Slide by John Kosovich, USGS
Terrestrial vs. Aerial Lidar
Slide by John Kosovich, USGS
Terrestrial vs. Aerial Lidar
Slide by John Kosovich, USGS
Terrestrial vs. Aerial Lidar
Slide by John Kosovich, USGS
Terrestrial vs. Aerial Lidar
Photo by Dick Grauch, USGS
August, 2007
Slump
Change Detection
Slide by John Kosovich, USGS
M2_2007
Slump
Change Detection - 2007
Slide by John Kosovich, USGS
Slump
New Slump
M2_2008
Change Detection - 2008
Slide by John Kosovich, USGS
2008 – 2007 Difference2008 minus 2007:
Old Slump
New Slump
QUESTIONS?