Transcript Slide 1

MaFoMP Drumlin Project:
Faculty Advisors: John Rogan & Deborah Woodcock
Background
ASTER
Drumlins:
• Glacial Landforms (small tear shaped hills
made up of glacial till)
•
A major part of Massachusetts’ landscape
and historical identity
•
Currently in danger of removal/ flattening for
development projects
Potential Effects:
• Loss of habitat and biodiversity?
• Environmental issues when excavated
(siltation, slope collapse)
• Permanent landscape, aesthetic change
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Drumlin Project:
Research Goals
ASTER
Research Goals:
• Survey drumlin fields and document change
• Generate and create a database of Digital Elevation
Models (DEM) which coincide temporally with the
MaFoMP landcover map products
• Present results to land management and conservation
communities
Pilot Study:
• Survey drumlins and document change
within the towns of Stow, Hudson &
Marlborough, MA
• Assess accuracy and perform
geomorphometric change analysis on
DEMs
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Drumlin Project:
Methods
Methodology:
• Utilize ASTER DEMs
• Resolution: 15m
• Coverage: 3600 Sq Km
• Available data: 2001 - 2006
• Use DEMs and Drumlin Database to survey and
plot
locations
DEM
Timedrumlin
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• Use two DEMs from 2002 & 2006 to conduct
geomorphometric analysis
• Find locations and quantify change through
image differencing
• Conduct accuracy assessment
DEM Time 1
Geomorphometric Analysis:
Image Differencing
DEM Time 2
Time 1
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Drumlin Project:
Overview of Literature
ASTER DEM Accuracy Assessment:
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16m average accuracy reported
Depends on landscape: (Aniello; Buyuksalin et al)
• Flat:
10 – 15m
29 – 60m (Kamp et al 2003)
DEM Time•1 Mountainous:
• Open areas:
12 – 25m
• Forested areas:
31m (Kamp et al 2003; Poli et al)
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Accuracy comparable to USGS 1 arc second DEM (Aniello)
•
ASTER DEM has less gaps, better coverage, more detail than other
sensors (Buyuksalin et al)
•
Gaps in areas with clouds and flat water
Time 1
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Drumlin Project:
Overview of Literature
ASTER DEM Accuracy Assessment Methods:
• Compare Landsat & ASTER images (Kaab et al 2002)
• Compare landcover maps with DEM to assess accuracy in regards to
location of trees (Poli et al)
• Compare topographic maps with DEM (Goncalves et al; Hirano et al 2003;
San et al 2005)
DEM Time•1 Any correlation?
• Produce image difference maps
• Produce profiles
•
GCP points critical to accuracy (Goncalves et al; San et al 2005)
• As number of GCPs increases, accuracy increases: 60 GCPs good
amount
• Manual Tie Points (TP) with GCPs increases accuracy
•
Ground Check Points: (Cuartero et al)
• 315 points with differential GPS
• 1 Compare DEM-Z values with “true” check pts
Time
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Drumlin Project:
Overview of Literature
Use of ASTER DEMs:
•
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Orthophoto generation from IKONOS & creation of geologic maps (Aniello)
Solar radiation & glacier geomorphic analysis (Kamp et al 2003)
• Multi-temporal changes can be monitored with “good accuracy” (Poli et al)
• DEMASTER
Time 1 DEMs are restricted in change detection: e.g. high mountains (Kaab et
al 2002)
• Change detection use requires:
• Surface features with sufficient contrast that exceed the image
resolution and are present over time
• Change must be of high magnitude: ASTER not sufficient to monitor
glacier thickness- change is to small
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Drumlin Project:
Current Progress & Future Work
Current Progress:
• Reviewed literature for DEM change detection:
• Best data source
• DEM accuracy assessment & methods
• DEM use
• Acquired ASTER DEM data
drumlin database from D. Woodcock’s surveys
DEM •TimeCreated
1
• Currently drafting drumlin location and change map based off of
complied database for D. Woodcock pilot study paper
Time 1
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Drumlin Project:
Draft of Pilot Study Map
DEM Time 1
Time 1
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Drumlin Project:
Current Progress & Future Work
Current Progress:
• Reviewed literature for DEM change detection:
• Best data source
• DEM accuracy assessment & methods
• DEM use
• Acquired ASTER DEM data
drumlin database from D. Woodcock’s surveys
DEM •TimeCreated
1
• Currently drafting drumlin location and change map based off of
complied database for D. Woodcock pilot study paper
Future Work:
• Finalize draft of pilot study map for D. Woodcock
• Assess DEM change detection accuracy with acquired data
• Finalize methodology
• Begin DEM Drumlin analysis
Time 1
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Drumlin Project:
Bibliography
Bibliography:
Aniello, Peter. “Using ASTER DEMs to Produce IKONOS Orthophotos” Space Imaging
Cuartero, A.; A.M. Felicisimo, and R.J. Ariza. “Accuracy of DEM Generation from Terra-ASTER Stereo Data”
Commission VI, WG VI/4
Goncalves J.A., and A.M. Oliveira. “Accuracy Analysis of DEMs Derived from ASTER Imagery” Commission III, WG
III/2, Science Faculty University of Porto, Portugal
DEM Time 1
Hirano, Akira; Roy Welch, and Harold Lang. “Mapping from ASTER stereo image data: DEM validation and accuracy”
Journal of Photogrammetry & Remote Sensing Vol. 57 (2003): 256-370
Kaab, A.; C. Huggel; F. Paul; R. Wessels; B. Raup; H. Kieffer, and J. Kargel. “Glacier Monitoring from ASTER Imagery:
Accuracy and Applications” EARSel eProceedings- Workshop Observing our Cryosphere from Space No.
2 (March 11-13 2002): 43-53
Kamp, Ulrich; Tobias Bolch, and Jeffrey Olsenholler. “DEM Generation from ASTER Satellite Data for Geomorphometric
Analysis of Cerro Sillajhual, Chile/Bolivia” ASPRS 2003 Annual Conference Proceedings: Anchorage, AK
(May 2003)
Poli, D.; F. Remondino, and C. Dolei. “Use of Satellite Imagery for DEM Extraction, Landscape Modeling and GIS
Applications” Institute of Geodesy and Photogrammetry, Zurich Switzerland
San, B.T., and M.L. Suzen. “Digital elevation model (DEM) generation and accuracy assessment from ASTER stereo
data” International Journal of Remote Sensing Vol. 26, No. 22, 20 (November 2005)
Time 1
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Sam Blanchard Fall 2007