12 citations as recorded by crossref.

1. Combining multiple methods for automated soil delineation: from traditional to digital F. Mello et al. 10.1071/SR21067
2. Complex hydrological knowledge to support digital soil mapping F. Mello et al. 10.1016/j.geoderma.2021.115638
3. Using the surface scattering mechanism from dual-pol SAR data to estimate topsoil particle-sizefractions S. Deodoro et al. 10.1016/j.jag.2024.103742
4. The Brazilian Soil Spectral Library data opening J. Novais et al. 10.19047/0136-1694-2024-119-261-305
5. An interlaboratory comparison of mid-infrared spectra acquisition: Instruments and procedures matter J. Safanelli et al. 10.1016/j.geoderma.2023.116724
6. Data mining of urban soil spectral library for estimating organic carbon Y. Hong et al. 10.1016/j.geoderma.2022.116102
7. A sensors-based profile heterogeneity index for soil characterization A. Barros e Souza et al. 10.1016/j.catena.2021.105670
8. Fine-scale soil mapping with Earth Observation data: a multiple geographic level comparison J. Safanelli et al. 10.36783/18069657rbcs20210080
9. Improving spectral estimation of soil inorganic carbon in urban and suburban areas by coupling continuous wavelet transform with geographical stratification Y. Hong et al. 10.1016/j.geoderma.2022.116284
10. An assessment of Sentinel‐1 synthetic aperture radar, geophysical and topographical covariates for estimating topsoil particle‐size fractions S. Deodoro et al. 10.1111/ejss.13414
11. Proximal sensing approach for soil characterization and discrimination: a case of study in Brazil A. Gómez et al. 10.1080/10106049.2022.2102228
12. Rapid Determination of Soil Class Based on Visible-Near Infrared, Mid-Infrared Spectroscopy and Data Fusion H. Xu et al. 10.3390/rs12091512