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    • Rangeland Ecology & Management, Volume 67 (2014)
    • Rangeland Ecology & Management, Volume 67, Number 3 (May 2014)
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    Cover estimations using object-based image analysis rule sets developed across multiple scales in pinyon-juniper woodlands

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    Author
    Hulet, A.
    Roundy, B. A.
    Petersen, S. L.
    Jensen, R. R.
    Bunting, S. C.
    Issue Date
    2014-05
    Keywords
    eCognition Developer
    High-spatial resolution imagery
    Object-based image analysis
    Rule sets
    SageSTEP
    
    Metadata
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    Citation
    Hulet, A., Roundy, B. A., Petersen, S. L., Jensen, R. R., & Bunting, S. C. (2014). Cover estimations using object-based image analysis rule sets developed across multiple scales in pinyon-juniper woodlands. Rangeland Ecology & Management, 67(3), 318–327.
    Publisher
    Society for Range Management
    Journal
    Rangeland Ecology & Management
    URI
    http://hdl.handle.net/10150/657003
    DOI
    10.2111/REM-D-12-00154.1
    Additional Links
    https://rangelands.org/
    Abstract
    Numerous studies have been conducted that evaluate the utility of remote sensing for monitoring and assessing vegetation and ground cover to support land management decisions and complement ground measurements. However, few comparisons have been made that evaluate the utility of object-based image analysis (OBIA) to accurately classify a landscape where rule sets (models) have been developed at various scales. In this study, OBIA rule sets used to estimate land cover from high-spatial resolution imagery (0.06-m pixel) on Pinus L. (pinyon) and Juniperus L. (juniper) woodlands were developed using eCognition Developer at four scales with varying grains-1) individual plot, 2) individual sites, 3) regions (western juniper vs. Utah juniper sites), and 4) pinyon-juniper woodland network (all plots)-that were within the same study extent. Color-infrared imagery was acquired over five sites in Oregon, California, Nevada, and Utah with a Vexcel UltraCamX digital camera in June 2009. Ground cover measurements were also collected at study sites in 2009 on 80 0.1-ha plots. Correlations between OBIA and ground measurements were relatively high for individual plot and site rule sets (ranging from r=0.52 to r=0.98). Correlations for regional and network rule sets were lower (ranging from r=0.24 to r=0.63), which was expected due to radiance differences between the images as well as vegetation differences found at each site. All site and plot OBIA average cover percentage estimates for live trees, shrubs, perennial herbaceous vegetation, litter, and bare ground were within 5% of the ground measurements, and all region and network OBIA average cover percentage estimates were within 10%. The trade-off for decreased accuracy over a larger area (region and network rule sets) may be useful to prioritize management strategies but will unlikely capture subtle shifts in understory plant communities that site and plot rule sets often capture.
    Type
    Article
    text
    Language
    en
    ISSN
    0022-409x
    ae974a485f413a2113503eed53cd6c53
    10.2111/REM-D-12-00154.1
    Scopus Count
    Collections
    Rangeland Ecology & Management, Volume 67, Number 3 (May 2014)

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