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    • Rangeland Ecology & Management, Volume 58 (2005)
    • Rangeland Ecology & Management, Volume 58, Number 2 (March 2005)
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    A Process for Assessing Wooded Plant Cover by Remote Sensing

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    Author
    Afinowicz, Jason D.
    Munster, Clyde L.
    Wilcox, Bradford P.
    Lacey, Ronald E.
    Issue Date
    2005-03-01
    Keywords
    Landsat
    aerial photography
    woody plant encroachment
    rangeland assessment
    
    Metadata
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    Citation
    Afinowicz, J. D., Munster, C. L., Wilcox, B. P., & Lacey, R. E. (2005). A process for assessing wooded plant cover by remote sensing. Rangeland Ecology & Management, 58(2), 184-190.
    Publisher
    Society for Range Management
    Journal
    Rangeland Ecology & Management
    URI
    http://hdl.handle.net/10150/643250
    DOI
    10.2111/1551-5028(2005)58%3C184:APFAWP%3E2.0.CO;2
    Additional Links
    https://rangelands.org/
    Abstract
    The ability to map the extent of wooded vegetation cover over large areas using remote sensing is important for managing and assessing rangelands. Currently, applied techniques are inadequate because they 1) do not directly measure the amount of land covered by woody plants and rely on low-resolution images, 2) require considerable training-area data to train a classifier, and 3) describe only a limited number of land cover types. This paper presents an innovative methodology for creating a land-cover map that requires little to no traditional, training-area data collection before classification. The procedure combines both high-resolution aerial photography (resampled to 2.5-m pixels) and lower-resolution satellite imagery (30-m pixels) to produce a detailed and easily producible data set. The resulting data set also categorizes regions into a wide variety of land cover types in addition to differing levels of wooded cover. This new methodology was applied to the Upper Guadalupe River watershed in Texas, which is composed of varying amounts of brush cover between herbaceous range and dense cover. Validation by comparison to aerial imagery demonstrated a 74.4% success rate for all land cover classes. Validation was also performed by ground survey for several brush-covered points and showed a 90.0% success rate. As a result of the ground survey, modifications to the methodology were recommended to reduce classification errors and improve the process.  
    Type
    text
    Article
    Language
    en
    ISSN
    0022-409X
    ae974a485f413a2113503eed53cd6c53
    10.2111/1551-5028(2005)58%3C184:APFAWP%3E2.0.CO;2
    Scopus Count
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    Rangeland Ecology & Management, Volume 58, Number 2 (March 2005)

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