Intrinsic soil properties related with colour acquired by sentinel and nanosatellite spectroscopy and its implication with sugar cane byomass: a new approach on digital soil mapping

• Grant number: 18/12532-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: August 01, 2018
• End date: July 31, 2020
• Field of knowledge: Agronomical Sciences - Agronomy - Soil Science
• Principal Investigator: José Alexandre Melo Demattê
• Grantee: Merilyn Taynara Accorsi Amorim
• 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

There is a need for more detailed soil information in a timely manner due to the anthropogenic events in its extension. The present project aims to analyze the relationships between the color of the soil and its intrinsic properties obtained by satellite and its implications with the sugarcane biomass. Using, for that, images acquired through Sentinel satellite and nanosatellite. The study area is located in the region of Piracicaba, SP, totaling 1400 km2. The work proposes the following sequence: 1) obtaining images of the satellite Sentinel temporal; 2) obtaining images of satellites of the Planet constellation (nanosatellite); 3) generation of a single synthetic satellite image with soil exposed with these new sensors; 4) use of a database with 1000 georeferenced field samples containing soil and color analyzes; 5) determination of a color map of the soil by satellite, and the characteristics intrinsic to it as hematite, goethite, drainage; 6) determination of thematic maps of granulometric and chemical soil attributes based on the calibration of field samples; 7) determination of a synthetic image only containing plant data and its expression via biomass index. Data analysis will take place through the multiple correlation between soil attributes and biomass. It is expected that the plant will be related to diverse attributes, but mainly the most difficult chemicals to measure in soil digital mappings.

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)

MELLO, FELLIPE A. O.; BELLINASO, HENRIQUE; MELLO, DANILO C.; SAFANELLI, JOSE L.; MENDES, WANDERSON DE S.; AMORIM, MERILYN T. A.; GOMEZ, ANDRES M. R.; POPPIEL, RAUL R.; SILVERO, NELIDA E. Q.; GHOLIZADEH, ASA; et al. Soil parent material prediction through satellite multispectral analysis on a regional scale at the Western Paulista Plateau, Brazil. GEODERMA REGIONAL, v. 26, SEP 2021. (18/12532-0, 14/22262-0, 16/26124-6, 16/01597-9)

ACCORSI AMORIM, MERILYN TAYNARA; SILVERO, NELIDA E. Q.; BELLINASO, HENRIQUE; RICO GOMEZ, ANDRES MAURICIO; GRESCHUK, LUCAS T.; CAMPOS, LUCAS RABELO; DEMATTE, JOSE A. M.. Impact of soil types on sugarcane development monitored over time by remote sensing. PRECISION AGRICULTURE, v. N/A, p. 21-pg., 2022-03-18. (14/22262-0, 18/12532-0)

SILVERO, NELIDA E. Q.; DEMATTE, JOSE A. M.; VIEIRA, JULIA DE SOUZA; DE OLIVEIRA MELLO, FELLIPE ALCANTARA; ACCORSI AMORIM, MERILYN TAYNARA; POPPIEL, RAUL ROBERTO; MENDES, WANDERSON DE SOUSA; BONFATTI, BENITO ROBERTO. Soil property maps with satellite images at multiple scales and its impact on management and classification. Geoderma, v. 397, SEP 1 2021. (14/22262-0, 18/17369-0, 18/12532-0)