Pedological mapping through integration of digital terrain models spectral sensing and photopedology

Authors

  • Arlindo Garcia da Silva (85) 999574783

    Keywords:

    Aerial photographs. Digital terrain models. Satellite images. Digital soil mapping.

    Abstract

    New tools for soil mapping are needed to increase speed and accuracy of pedological mapping processes.
    This study integrated various technologies to map soils of the Piracicaba region in São Paulo State, Brazil. Each
    technology was expected to provide different information to design a detailed map. We carried out field survey and soil
    sampling for laboratory analysis. Initially, we conducted field visits to obtain soil patterns of a reference site. We applied
    the acquired patterns to an validation site, based solely on information obtained from remote sensing and cartographic
    databases, namely LANDSAT 7/ETM, digital elevation models (DEM) and aerial photographs. We integrated the
    information from each product to generate the map of the validation site, which was validated by field inspection.
    Textural classification using satellite imaging ranged from 21-51% of accuracy. Band 5 in the sensor showed the best
    performance to discriminate between clayey and sandy soils. Aerial photographs provided the best information because,
    besides their own inherent characteristics, they operate on a larger scale and result in a map with up to 50 polygons,
    while DEM reached a maximum of 30 polygons. The digital mapping technology generated 45 mapping units. Finally,
    the mapping efficiently separated the Latosols from the other classes; however, in some cases there was confusion in the
    identification of Cambisols and litholic Neosols.

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    Author Biography

    • Arlindo Garcia da Silva, (85) 999574783

       

                   

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    Published

    2015-08-28

    Issue

    Section

    Soil Science

    How to Cite

    Pedological mapping through integration of digital terrain models spectral sensing and photopedology. Revista Ciência Agronômica, [S. l.], v. 46, n. 4, p. 669–678, 2015. Disponível em: https://periodicos.ufc.br/revistacienciaagronomica/article/view/88750. Acesso em: 30 apr. 2026.