@article{fdi:010087515,
  title = {{M}apping {B}razilian soil mineralogy using proximal and remote sensing data},
  author = {{R}osin, {N}. {A}. and {D}ematte, {J}. {A}. {M}. and {P}oppiel, {R}. {R}. and {S}ilvero, {N}. {E}. {Q}. and {R}odriguez-{A}lbarracin, {H}. {S}. and {R}osas, {J}. {T}. {F}. and {G}reschuk, {L}. {T}. and {B}ellinaso, {H}. and {M}inasny, {B}. and {G}omez, {C}{\'e}cile and {M}arques, {J}. and {F}ernandes, {K}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}inerals control many soil functions and play a crucial role in addressing global existential issues. {M}easuring the abundance of soil minerals is a laborious, costly, and time-consuming task; however, soil spectroscopy can be a useful tool to overcome this issue. {T}his work aimed to map the abundance of major mineralogical components of soils in {B}razil from surface to 1 m deep and at a spatial resolution of 30 m. {S}pectral data of the {B}razilian {S}oil {S}pectral {L}ibrary with {V}is-{NIR}-{SWIR} was used to estimate the abundance of haematite, goethite, kaolinite, and gibbsite. {T}hese minerals were spatialized using digital soil mapping techniques. {W}e also developed a novel framework to obtain bare soil reflectance for areas without natural or anthropic soil exposure (continuous image) and used it as covariate. {S}oil minerals and their abundances were successfully estimated by {V}is-{NIR}-{SWIR} reflectance. {H}aematite predictions presented the most accurate results with {R}andom {F}orest models, followed by gibbsite, kaolinite, and goethite. {T}he spatial validation with reference mineralogical data found {R}2 of 0.64 (haematite), 0.40 (goethite), 0.20 (kaolinite/{K}t), 0.29 (gibbsite/{G}bs), and 0.40 ({K}t/{K}t + {G}bs). {T}he resulting maps of soil minerals were in accordance with the geology, pedology, climate, and relief of {B}razil and revealed the spatial distribution of mineral abundances at a finer resolution than existing geological and pedological maps, reaching a farm level detail.},
  keywords = {{R}eflectance spectroscopy ; {D}igital soil mapping ; {P}edometrics ; {B}are soil ; image ; {BRESIL}},
  booktitle = {},
  journal = {{G}eoderma},
  volume = {432},
  numero = {},
  pages = {116413 [19 p.]},
  ISSN = {0016-7061},
  year = {2023},
  DOI = {10.1016/j.geoderma.2023.116413},
  URL = {https://www.documentation.ird.fr/hor/fdi:010087515},
}