Title: Image processing, LiDAR and high resolution 2D interpolation and 3D visualization for data integrati
1Image processing, LiDAR and high resolution 2D
interpolation and 3D visualization for data
integration
- J Ramón Arrowsmith Department of Geological
Sciences, Arizona State University,
ramon.arrowsmith_at_asu.edu http//activetectonics.la
.asu.edu/GEONatASU/index.htm - http//www.geoinformaticsnetwork.org/swgeonet/
- With Jeff Conner, Chris Crosby, and Gilead Wurman
2Java servlets on ASU GEON NODE
3Very useful data, but difficult to locate
appropriate scenes, acquire, process and
manipulate data for many users. So, we built a
system to do on-the-fly processing and delivery
in a variety of useful formats
http//asterweb.jpl.nasa.gov/
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5Connection Method
- ArcIMS, Java Servlet, Manager Program, Java
Implemented Server
6Java Servlet Welcome Screen
Display information to user and communicates with
the Manager program, relaying relevant information
7Java Servlet - Results Screen
Display results of IDL processing to user and
offer for download processed information
(thumbnail and larger .jpg .tar.gz contains
full and 8x reduced GEOTIFF .tif and .tfw)
8CIR 3, 2, 1 as Red-Green-Blue (RGB) at 15
m/pixel. Actively photosynthesizing vegetation is
red (near-infrared band). Undisturbed bedrock
and soils appear as browns, greens, and greys.
Built materials and regions typically exhibit
blue-green, reddish - purple, and white
colors. Downloaded GEOTIFF in ArcScene with DEM
base heights.
9Users besides ASU University of New Mexico,
University of Nevada Las Vegas, Mesa State
University, Texas AM University, US Forest
Service, NASA, University of Arizona, Los Alamos
National Laboratory, US Geological Survey,
Wisconsin Charter School, University of Nevada
Reno Desert Research Institute, Southwest
Research Institute
40 in May
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11http//agassiz.la.asu.edu8080/gservlet
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13LIght Detection And Ranging
- Airborne scanning laser rangefinder
- Differential GPS
- Inertial Navigation System
- 30,000 points per second at 15 cm accuracy
-
- 4001000/mi2, 106 points/mi2, or
0.040.1 cents/point - Extensive filtering to remove tree canopy
(virtual defor-estation)
Figure from R. Haugerud, U.S.G.S -
http//duff.geology.washington.edu/data/raster/lid
ar/About_LIDAR.html
14LiDAR data handling and processing - the
challenges
Hector Mine Earthquake ALSM coverage (Mojave
Desert)
- Huge datasets
- 8.79 million pts
- Files getting larger with higher pulse rate
instruments
- How do we grid and distribute these data?
- ArcGIS cant handle it easily
- Expensive commercial software not an option for
most data consumers
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17GRASS as a processing tool for LiDAR
- GRASS Open source GIS
- Interpolation commands designed for large data
sets - Splines use local pt density to segment data into
rectangular areas for interpolation - Can control spline tension and smoothness
- Modular configuration could be easily implemented
with in the GEON work flow - EX User uploads point data to remote site where
GRASS interpolation module runs on super computer
and returns user a raster file. - Ultimately a gridding utility for all large,
computationally intensive data - gravity
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21Whats next?
- Build projection library
- Add functionality - TIN, Kriging, Oskin-type
local plane fits, etc. - More performance testing
- Comparison of interpolation algorithms for
different landscapes - Migrate to SDSC HP cluster for improved
performance - Database import and query
- Ties to NCALM and Earthscope
- Web-based front end for data distribution
San Andreas Laser Scan (Bevis, Hudnut)
22Current Architecture
Web Services Architecture
- JSPs
- Socket Connections
- Messages passed are a custom Java container class.
- Portlets
- SOAP
- Messages passed are XML
Web services become workflow building blocks
23Acknowledgements
- Colleagues and organizations who have shared data
with us. - This work was supported by the US National
Science Foundation grants ITR/IMAP (GEO)
Collaborative research Creation of a geospatial
data system for the transition between the
Colorado Plateau and the Basin and Range
Provinces (Geoinformatics in Action)--EAR-0112960
and ITR Collaborative research GEON a research
project to create cyberinfrastructure for the
geosciences--EAR-0225543.