外文摘要：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 km 2 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 R 2 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.
外文关键词：Spectroscopy;digital soil mapping;soil mapping;Mineralogy
作者：de Mello, Danilo Cesar;Francelino, Marcio Rocha;Dematte, Jose A M;Rosin, Nicolas Augusto;de Carvalho, Hudson Wallace Pereira;Rodriguez-Albarracin, Heidy Soledad;Rosas, Jorge Tadeu Fim;Novais, Jean Jesus;Dalmolin, Ricardo S D;Alves, Marcelo Rodrigo;Falcioni, Renan;Tziolas, Nikolaos;Mallah, Sina
作者单位：Univ Fed Vicosa;Univ Sao Paulo;Univ Florida;Univ Fed Santa Maria;Univ Estadual Maringa;Agr Res Educ & Extens Org AREEO;Univ Western Paulista
期刊名称：CATENA
期刊影响因子：0.0
出版年份：2024
出版刊次：240
原文传递申请：江苏省科技资源（工程技术文献）统筹服务平台