文章基本信息

标题：Use of Airborne Hyperspectral Imagery to Map Soil Properties in Tilled Agricultural Fields
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作者：W. Dean Hively ; Gregory W. McCarty ; James B. Reeves III 等
期刊名称：Applied and Environmental Soil Science
印刷版ISSN：1687-7667
电子版ISSN：1687-7675
出版年度：2011
卷号：2011
DOI：10.1155/2011/358193
出版社：Hindawi Publishing Corporation
摘要：Soil hyperspectral reflectance imagery was obtained for six tilled (soil) agricultural fields using an airborne imaging spectrometer (400–2450 nm, ∼10 nm resolution, 2.5 m spatial resolution). Surface soil samples (𝑛=315) were analyzed for carbon content, particle size distribution, and 15 agronomically important elements (Mehlich-III extraction). When partial least squares (PLS) regression of imagery-derived reflectance spectra was used to predict analyte concentrations, 13 of the 19 analytes were predicted with 𝑅2>0.50, including carbon (0.65), aluminum (0.76), iron (0.75), and silt content (0.79). Comparison of 15 spectral math preprocessing treatments showed that a simple first derivative worked well for nearly all analytes. The resulting PLS factors were exported as a vector of coefficients and used to calculate predicted maps of soil properties for each field. Image smoothing with a 3×3 low-pass filter prior to spectral data extraction improved prediction accuracy. The resulting raster maps showed variation associated with topographic factors, indicating the effect of soil redistribution and moisture regime on in-field spatial variability. High-resolution maps of soil analyte concentrations can be used to improve precision environmental management of farmlands.