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Pedometric soil mapping of São Paulo State using proximal and remote sensing data coupled with pedo-transfer functions and machine learning

Grant number: 20/04306-0
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): April 01, 2020
Effective date (End): March 31, 2021
Field of knowledge:Agronomical Sciences - Agronomy - Soil Science
Principal Investigator:José Alexandre Melo Demattê
Grantee:Raul Roberto Poppiel
Home Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
Associated research grant:14/22262-0 - Geotechnologies on a detailed digital soil mapping and the Brazilian soil spectral library: development and applications, AP.TEM


The main goal of this project is to perform quantitative soil maps for agricultural areas in São Paulo State, Brazil, using proximal and remote sensing data, coupled with pedo-transfer functions and machine learning algorithms. The mapping level will be evaluated according to the final assertiveness, since the sampling density for detail levels is not standardized for digital mapping methods. Initially, it is expected to reach the semi-detailed level. Soil databases of the State will be organized using known locations of soil classes (pre-existing maps), georeferenced locations with soil analyzes and respective reflectance spectra at topsoil and subsoil, geological and geomorphological maps, satellite images with bare soil areas, gamma-spectrometric aerial images, relief attributes (altitude, shape, position, slope, curvatures) and drainage networks. Based on the known point information (the soil name) with the respective characteristics, pixels with similar information will be replicated throughout the state using machine learning algorithms, allowing to infer other soil maps by pedo-transfer functions. The validation will be carried out with field observations. Scientifically, several products will be obtained that can be compared when their effectiveness and limitations in the development of a digital soil map across a large geographical area. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BONFATTI, BENITO R.; DEMATTE, JOSE A. M.; MARQUES, KARINA P. P.; POPPIEL, RAUL R.; RIZZO, RODNEI; MENDES, WANDERSON DE S.; SILVERO, NELIDA E. Q.; SAFANELLI, JOSE L. Digital mapping of soil parent material in a heterogeneous tropical area. Geomorphology, v. 367, OCT 15 2020. Web of Science Citations: 0.

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