Title:	Geophysical data to modeling soil properties in tropical hillslope areas.
Authors:	BASTOS, B. PINHEIRO, H. CARVALHO JUNIOR, W. de
Affiliation:	BLENDA BASTOS, UFRRJ; HELENA PINHEIRO, UFRRJ; WALDIR DE CARVALHO JUNIOR, CNPS.
Date Issued:	2022
Citation:	In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.
Description:	Aero geophysical data is becoming an important source of environmental covariate in digital mapping. Airborne gamma-ray spectrometry is more common in digital soil mapping, because of the penetration potential of approximately 30-40 cm. However, the airborne magnetic method can be tested to add and improve the prediction of soil properties. Therefore, the objective of this work was to implement a preliminary study to model the spatial distribution of soil properties using pedological legacy data, aero geophysical data, and terrain covariates to discuss their importance to the digital soil mapping in Bom Jardim county, Rio de Janeiro, Brazil.
NAL Thesaurus:	Soil properties
Keywords:	Digital soil mapping
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CNPS)