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TerraServer Web Site

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Title: TerraServer Web Site


1
TerraServer Web Site
2
USGS Image Data
  • Digital Raster Graphics
  • 1 TB compressed TIFF, 65,000 files
  • Scanned topo maps
  • 100 U.S. coverage
  • 124,000, 1100,000 and 1250,000 scale maps
  • Maps vary in age
  • Urban Area
  • 1 foot resolution
  • Natural Color
  • 133 major U.S. cities
  • 30 available 2004
  • 2001 or later
  • Produced by NIMA for Homeland Security
  • Digital OrthoQuads
  • 15 TB, 280,000 files uncompressed
  • Digitized aerial imagery
  • 96 coverage conterminous US
  • 1 meter resolution
  • lt 15 years old

3
Image Coverage
  • 100 U.S., Topo Maps (light green)2m to 1024m
    resolution
  • 96 48 Conterminous States, (dark green)Ortho
    Imagery, 1m to 1024m resolution

4
What is TerraServer?
  • A remote sensing image store
  • Images are shredded into small, uniform sized
    tiles
  • Multiple input images are mosaicd into a single
    scene
  • An HTML based web application
  • Navigate by point-n-click, gazetteer or
    coordinates
  • Pan-n-zoom by clicking on simple navigation
    buttons
  • (No fancy java, activex, flash controls)
  • An XML based web service
  • Meta-data and tiles accessible via W3C web
    service API
  • An OpenGIS compliant Web Map Server
  • Tiles merged into single map image
  • Re-projection from UTM to geographic supported

5
Design Objectives
User/App Goals
Technology Goals
  • Public Access to remote sensing data with no
    GIS expertise required
  • Ubiquitous No special hw/sw required by client
  • Delivery All OnLine/Internet Based, no tape or
    CD distribution
  • Simple Designed to be used by a 6th grade
    geography student
  • Scale-up creating multi-TB PC Server
  • Availability Test software and ops in a 24x7
    situation
  • Lights out all operations maintenance occurs
    remotely
  • Easy Minimal ops and dev staff
  • Programmable Meta Imagery data accessible as
    a web service

6
TerraServer Concepts
  • Tile An addressable chunk extracted from a
    Theme
  • Theme An image asset/data-set in a single
    projection class, i.e. UTM NAD83, Geographic,
    etc.
  • Scene A grouping of related Tiles that can be
    shown together as a seamless mosaic without
    any image processing tricks, e.g. a UTM zone, a
    single satellite swath, etc.
  • Scale An ID assigned to the ground resolution
    of pixels in a Tile.
  • Image Pyramid The set of Scales a Themes Tiles
    rendered in and stored, e.g. DOQ scale 10 .. 21
    (1m/pix to 2048 m/pix)

7
More Concepts
  • Scale System Begins at 10 for 1 meter/pix
    resolution, /- 1 for each 2x resolution, i.e. 11
    2m, 12 4m, 9 .5m
  • Grid System X,Y identifies Tile location within
    a scene. Positive, Scale based integers starting
    from lower left corner of the Scene
  • Tile Shape Square.
  • Tile Size 200 is 200x200 pixels

15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0
0
0
199
0
199
0
0 1 2 3 4 5 6 7 8 9 10 1112 13141516
171819 2021 22
8
Why 200 x 200 Pixel Tiles
  • Fit different size monitors (using html tables)
  • 2x1 800 x 600 monitors
  • 3x2 1024 x 768 monitors
  • 4x3 1280 x 1024 and larger monitors
  • Progressive display over slow speed lines
  • Tiles average lt 10kb
  • Panning takes advantage of browser cache
  • Maintains image quality
  • Without storing uncompressed full res imagery
  • USGS DOQ imagery overlaps by 300 pixels
  • USGS DOQ images arrive in random order

9
TerraServer Hardware
  • Storage Bricks
  • Commodity servers
  • 4 TB raw / 2 TB Raid1 SATA storage
  • Dual 2 GHz 4GB RAM
  • 3 Bricks TerraServer data
  • Data partitioned
  • Moving to Yukon
  • Working on low TCO auto-manage
  • Low Cost Availability Pair Spare
  • RAID1 Mirroring
  • Mirrored Bunches (Yukon log ship?)
  • Spare Brick
  • Web Application
  • Load balances mirrors
  • Uses surviving database on failure

10
The TerraServer Storyhttp//terraserver-usa.com/i
mage.aspx?t4s9x5655y52766z10w2
  • 1997 8 DEC Alpha,
  • 8GB,
  • 480x18GB disks
  • 1 TB
  • 2000 4x8 Pentium3 600Mhz,
  • 16GB ram
  • 540 36GB FC SCSI disks
  • FC SAN
  • 18TB
  • 2004 7x2 Xeon
  • 100 250 GB SATA disks
  • 28 TB
  • 70k
  • NO TAPE
  • Next
  • Geo-Plex

11
Soon The Virtual Observatory
  • Many new surveys are coming
  • SDSS is a dry run for the next ones
  • LSST will be 5TB/night
  • All the data will be on the Internet
  • ftp, web services
  • Data and applications will be associated with
    the projects
  • Distributed world wide, cross-indexed
  • Federation is a must
  • Will be the best telescope in the world
  • World Wide Telescope
  • Finds the needle in the haystack
  • Successful demonstrations NOW!

12
SkyServer, Virtual Observatory
  • The Problem
  • Bring Astronomy data online
  • Integrate the online archives
  • Our/my focus
  • Database and architecture help
  • Algorithms
  • Implementation
  • Connect to CS community

13
The Cosmic Genome Project
The SDSS will create the ultimate mapof the
Universe, with much more detailthan any other
measurement before
14
Features of the SDSS
2.5m telescope, located at Apache Point, NM 3
degree field of view. Zero distortion focal
plane. Two surveys in one Photometric survey in
5 bands. Spectroscopic redshift survey. Huge CCD
Mosaic 30 CCDs 2K x 2K (imaging) 22 CCDs 2K x
400 (astrometry) Two high resolution
spectrographs 2 x 320 fibers, with 3 arcsec
diameter. R2000 resolution with 4096
pixels. Spectral coverage from 3900Å to
9200Å. Automated data reduction Over 70
man-years of development effort. (Fermilab
collaboration scientists) Very high data
volume Expect over 20 TB of raw data. About 1
TB processed catalogs. Data made available to
the public.
15
The Telescope
Special 2.5m telescope 3 degree field of
view Zero distortion focal plane Wind
screen moved separately
16
How Good is the Telescope?
  • SDSS telescope has 120 Million CCD pixels
  • 55 second photometric exposure.
  • 8 MB/sec data rate.
  • 0.4 arc-sec pixel size.
  • Also Spectroscopic Survey of 1 million obj.
  • As good as the atmosphere
  • Seeing 20 nights per year.

17
The Photometric Survey
Northern Galactic Cap 5 broad-band filters
( u', g', r', i', z )
limiting magnitudes (22.3, 23.3, 23.1, 22.3,
20.8) drift scan of 10,000 square degrees
55 sec exposure time 40 TB raw imaging
data -gt pipeline -gt 100,000,000 galaxies
50,000,000 stars calibration to 2 at
r'19.8 only done in the best seeing (20
nights/yr) pixel size is 0.4 arcsec,
astrometric precision is 60 milliarcsec Southern
Galactic Cap multiple scans (gt 30 times) of
the same stripe Continuous data rate of 8
Mbytes/sec
18
The Spectroscopic Survey
Measure redshifts of objects ? distance SDSS
Redshift Survey 1 million galaxies 100,000
quasars 100,000 stars Two high throughput
spectrographs spectral range 3900-9200 Å. 640
spectra simultaneously. R2000
resolution. Automated reduction of spectra Very
high sampling density and completeness Objects in
other catalogs also targeted
19
The Mosaic Camera
20
Photometric Calibrations
The SDSS will create a new photometric
system u' g' r' i' z' Primary standards
observed with the USNO 40-inch telescope in
Flagstaff Secondary standards observed with
the SDSS 20-inch telescope at Apache
Point calibrating the SDSS imaging data
21
The Spectrographs
Two double spectrographs very high
throughput two 2048x2048 CCD detectors
mounted on the telescope light fed through
slithead
22
The Fiber Feed System
Galaxy images are captured by optical fibers
lined up on the spectrograph slit Manually
plugged during the day into Al plugboards 640
fibers in each bundle The largest fiber system
today
23
Spectrograph Status
Spectrographs Laboratory observations of
solar spectrum First astronomical
observations March 1999
24
First Light Images
Telescope First light May 9th 1998
Equatorial scans
25
The First Stripes
Camera 5 color imaging of gt100 square
degrees Multiple scans across the same
fields Photometric limits as expected
26
NGC 2068
27
UGC 3214
28
NGC 6070
29
The First Quasars
Three of the four highest redshift quasars have
been found in the first SDSS test data !
30
The Stripes
  • 25 stripes over the SDSS area, covering about
    2800 square degrees
  • Resolution 0.4 arc seconds.
  • About 20 lost due to bad seeing
  • Masks seeing, bright stars, etc.
  • Images generated from query by web service

31
The Masks
  • A Stripe - masks
  • Masks are derived from the database
  • Search and intersect extended objects with
    boundaries

32
Major Changes in Astronomy
  • Visual Observation --gt Photographic Plates--gt
    Massive Scans of the Sky collecting Terabytes.
  • A Practice Scan of the SDSS Telescope Discovered
    3 of the 4 most Distant Quasars!
  • SDSS plus other Surveys will yield a Digital Sky
  • Telescope Quality Data available Online.
  • Spatial Data Mining will find new objects.
  • New research areas - Study Density Fluctuations.

33
Next Generation
  • 50TB/night
  • First light 2010
  • Survey sky every 2 weeks
  • Survey time domain
  • Lots of activity outside the optical domain.

34
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35
Moving Data Bricks
  • The cheapest and fastest way to move a Terabyte
    cross country is sneakernet.24 hours 4
    MB/s50 shipping vs 1,000 wan cost.

36
Giga Byte Per Second File Mover
  • CERN to Pasadena
  • Windows TCP/IP stack improvements
  • Opteron demo
  • Disk-to-Disk at 550MBps now (2 TB/Hour)
  • What we learned
  • Linux tcp stack is good/better at high perfwe
    are catching up.
  • NTFS is better than various Linux FS
  • Near the PCI-X limit
  • Good way to engage the community.
  • GOAL 1GBps disk-to-disk.

PCI -X limit
tcp limit
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