遥感
X射线荧光
环境科学
X射线
荧光
土壤科学
环境化学
材料科学
地质学
化学
光学
物理
作者
Nícolas Augusto Rosin,José Alexandre Melo Demattê,Hudson Wallace Pereira de Carvalho,Heidy Soledad Rodríguez Albarracín,Jorge Tadeu Fim Rosas,Jean Jesus Novais,Ricardo Simão Diniz Dalmolin,Marcelo Rodrigo Alves,Renan Falcioni,Nikolaos Tziolas,Sina Mallah,Danilo César de Mello,Márcio Rocha Francelino
出处
期刊:Catena
[Elsevier]
日期:2024-05-01
卷期号:240: 107988-107988
标识
DOI:10.1016/j.catena.2024.107988
摘要
Spatial soil information has significantly contributed to public policy and planning. The use of X-ray fluorescence spectrometry (XRF) in soil science, primarily in laboratory settings or for isolated point analyses, has been well documented. This study broadens the application of XRF data by integrating it with remote sensing data for a comprehensive understanding of soil patterns and processes. Focusing on a 2574 km2 area in Brazil, we utilized a lab-based XRF instrument to measure the total concentrations of key chemical elements in the soil, such as Al, Si, Ti, and Fe. These geochemical data were then spatialized using the digital soil mapping (DSM) framework. We employed a synthetic bare soil image and elevation data as covariates in the analysis. The spatial accuracy assessment yielded R2 values ranging from 0.65 to 0.81 for Fe, 0.62 to 0.78 for Ti, 0.52 to 0.63 for Si, and 0.48 to 0.63 for Al. The digital soil maps of geochemical elements aligned well with existing pedological, and geological maps as evaluated using multiple correspondence analysis. The integration of spatialized XRF data with DSM and remote sensing techniques shows significant promise in assessing soil variations across landscapes based on their chemical composition.
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