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    • Rangeland Ecology & Management, Volume 62 (2009)
    • Rangeland Ecology & Management, Volume 62, Number 5 (September 2009)
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    Modeling Bare Ground With Classification Trees in Northern Spain

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    Author
    Weber, Keith T.
    Alados, Concepción L.
    Bueno, C. Guillermo
    Gokhale, Bhushan
    Komac, Benjamin
    Pueyo, Yolanda
    Issue Date
    2009-09-01
    Keywords
    classification tree analysis
    desertification
    geographic information system (GIS)
    rangelands
    remote sensing
    
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    Citation
    Weber, K. T., Alados, C. L., Bueno, C. G., Gokhale, B., Komac, B., & Pueyo, Y. (2009). Modeling bare ground with classification trees in Northern Spain. Rangeland Ecology & Management, 62(5), 452-459.
    Publisher
    Society for Range Management
    Journal
    Rangeland Ecology & Management
    URI
    http://hdl.handle.net/10150/643051
    DOI
    10.2111/REM-D-09-00065.1
    Additional Links
    https://rangelands.org/
    Abstract
    Bare ground abundance is an important rangeland health indicator and its detection is a fundamental part of range management. Remote sensing of bare ground might offer solutions for land managers but also presents challenges as modeling in semiarid environments usually involves a high frequency of spectral mixing within pixels. Classification tree analysis (CTA) and maximum likelihood classifiers were used to model bare ground in the semiarid steppes of the middle Ebro valley, Aragon, Spain using Satellite Pour l’Observation de la Terre 4 (SPOT 4) imagery and topographic data such as elevation, slope, aspect, and a morphometric characterization model. A total of 374 sample points of bare-ground fraction from sixteen 500-m transects were used in the classification and validation process. Overall accuracies were 85% (Kappa statistic = 0.70) and 57% (Kappa statistic = 0.13) from the CTA and maximum likelihood classifiers, respectively. Although spectral attributes were essential in bare-ground classification, the topographic and morphometric properties of the landscape were equally critical in this modeling effort. Although the specific layers best suited for each specific model will vary from region to region, this study provided an important insight on both bare-ground modeling and the potential advantages of CTA. 
    Type
    text
    Article
    Language
    en
    ISSN
    0022-409X
    ae974a485f413a2113503eed53cd6c53
    10.2111/REM-D-09-00065.1
    Scopus Count
    Collections
    Rangeland Ecology & Management, Volume 62, Number 5 (September 2009)

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