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PreProcessing Techniques for SWReGAP Land Cover Analysis

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Arizona, Colorado, Nevada, New Mexico, Utah. US-IALE 2004, Las Vegas, Nevada: ... Recode Cloud/Shadow. Clean Up Procedures. Clump: Mark pixels that are isolated ... – PowerPoint PPT presentation

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Title: PreProcessing Techniques for SWReGAP Land Cover Analysis


1
Pre-Processing Techniques for SWReGAPLand Cover
Analysis
T. Scott Schrader New Mexico Cooperative Fish
Wildlife Research Unit New Mexico State
University, Las Cruces, NM
  • Southwest Regional GAP Project
  • Arizona, Colorado, Nevada, New Mexico, Utah

US-IALE 2004, Las Vegas, Nevada
Transdisciplinary Challenges in Landscape Ecology
2
Initial Technical Steps in Production of Land
Cover Data
  • ETM Characteristics and MRLC
  • Atmospheric Standardization Techniques
  • Cloud/Shadow Elimination

3
LandSat 7 ETM
  • Spatial Resolution 30m pixels, 172km2
  • Spectral Resolution 6 bands
  • Temporal Resolution Worldwide 16 days

4
MRLC
  • Multi-Resolution Land Characteristics (MRLC)
    Consortium established 1992, revised 2001
  • Consolidation of the acquisition of remote
    sensing data for multiple agency use
  • EPA, USGS, NBS, BLM, NOAA, NASA, USFS, EROS

5
MRLC
  • 3 Seasons Green up, leaf on, leaf off
  • lt 15 cloud cover
  • Geometric terrain correction
  • NALPS format
  • Standardized projection
  • Instrument artifacts removed

6
Atmospheric Standardization
  • What is it? Why is it needed?
  • Tools for three methods of Standardization

7
Atmospheric Standardization Tools

8
Areas Contaminated by Clouds/ Shadows
9
Outline Cloud/Shadow Areas
10
Excise Contaminated Areas
11
Start labeling Cloud/Shadows
12
Labels Complete
13
Recode Cloud/Shadow
14
Clean Up Procedures
  • Clump Mark pixels that are isolated
  • Eliminate Replace isolated pixels with
    surrounding values
  • Neiborhood Buffer areas slightly to include
    mixed pixels at edges

15
Clouds/Shadows Masked
16
Clouds/Shadows Removed
17
Summary
  • ETM appropriate for regional land cover mapping
  • Atmospheric standardization to reduce scene to
    scene variability
  • Mask areas to provide the best possible canvas
    to characterize land cover

18
For More Information
  • ETM http//ltpwww.gsfc.nasa.gov/IAS/handbook/han
    dbook_toc.html
  • MRLC http//landcover.usgs.gov/

19
For More Information
  • Standardization Tools http//www.gis.usu.edu/pro
    jects/swregap/
  • ImageStandardization.htm
  • SWReGAP http//fws-nmcfwru.nmsu.edu
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