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 Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: April 01, 2020
• End date: March 31, 2021
• Field of knowledge: Agronomical Sciences - Agronomy - Soil Science
• Principal Investigator: José Alexandre Melo Demattê
• Grantee: Raul Roberto Poppiel
• Host 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

Abstract

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

(4)

(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)

DEMATTE, JOSE A. M.; PAIVA, ARIANE FRANCINE DA SILVEIRA; POPPIEL, RAUL ROBERTO; ROSIN, NICOLAS AUGUSTO; RUIZ, LUIS FERNANDO CHIMELO; MELLO, FELLIPE ALCANTARA DE OLIVEIRA; MINASNY, BUDIMAN; GRUNWALD, SABINE; GE, YUFENG; BEN DOR, EYAL; et al. he Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communicatio. REMOTE SENSING, v. 14, n. 3, FEB 2022. (14/22262-0, 20/04306-0, 16/26176-6)

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. (18/12678-5, 16/26124-6, 15/16172-0, 14/22262-0, 16/01597-9, 18/23760-4, 20/04306-0)

MENDES, WANDERSON DE SOUSA; DEMATTE, JOSE A. M.; ROSIN, NICOLAS AUGUSTO; TERRA, FABRICIO DA SILVA; POPPIEL, RAUL R.; URBINA-SALAZAR, DIEGO F.; BOECHAT, CACIO LUIZ; SILVA, ELISANGELA BENEDET; CURI, NILTON; SILVA, SERGIO HENRIQUE GODINHO; et al. The Brazilian soil Mid-infrared Spectral Library: The Power of the Fundamental Range. Geoderma, v. 415, p. 12-pg., 2022-02-24. (16/26124-6, 14/22262-0, 20/04306-0)

PAIVA, ARIANE FRANCINE DA SILVEIRA; POPPIEL, RAUL ROBERTO; ROSIN, NICOLAS AUGUSTO; GRESCHUK, LUCAS T.; ROSAS, JORGE TADEU FIM. The Brazilian Program of soil analysis via spectroscopy (ProBASE): Combining spectroscopy and wet laboratories to understand new technologies. Geoderma, v. 421, p. 12-pg., 2022-04-26. (16/26176-6, 14/22262-0, 20/04306-0)