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Multitemporal orbital images and algorithm external parameter orthogonalization on the maximization of the use of sensors: useful tools on digital soil mapping

Grant number: 13/18769-9
Support type:Scholarships abroad - Research
Effective date (Start): December 21, 2013
Effective date (End): February 28, 2014
Field of knowledge:Agronomical Sciences - Agronomy
Principal Investigator:José Alexandre Melo Demattê
Grantee:José Alexandre Melo Demattê
Host: Cristine Lois Smith Morgan
Home Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
Local de pesquisa : Texas A&M University, United States  


The gap of soil maps in Brazil is continuously discussed. This fact demonstrates the difficulties in the scientific community to apply the concepts and deal with financial support. It is necessity to determine quick methods to obtain information of soils with low cost. There is no dough about the importance of soil maps for Brazilian economy and environment. We can verify this when Brazil made a hudge work in soil mapping with the so-called RADAMBRASIL Volumes. It is necessary to go after geotechnological methodologies, that associated with field works, can assist on reaching our objective on soil mapping. Thus the present work has an objective determine methodologies by remote sensing that can assist digital soil mapping. The specific objectives are: a) determine a multitemporal methood using landsat images on detecting bare soil as a continuous, making possible extracting soil attributes information; b) test an algorithm EPO (External parameter orthogonalization) to transform reflectance data obtained in laboratory into their respective in-situ. This is important so future pedologists would not have to collect soil samples at Field and bring to lab to dry and sieve and after take reflectance. (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)
FONGARO, CAIO T.; DEMATTE, JOSE A. M.; RIZZO, RODNEI; SAFANELLI, JOSE LUCAS; MENDES, WANDERSON DE SOUSA; DOTTO, ANDRE CARNIELETTO; VICENTE, LUIZ EDUARDO; FRANCESCHINI, MARSTON H. D.; USTIN, SUSAN L. Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images. REMOTE SENSING, v. 10, n. 10 OCT 2018. Web of Science Citations: 0.
MELO DEMATTE, JOSE ALEXANDRE; FONGARO, CAIO TROULA; RIZZO, RODNEI; SAFANELLI, JOSE LUCAS. Geospatial Soil Sensing System (GEOS3): A powerful data mining procedure to retrieve soil spectral reflectance from satellite images. REMOTE SENSING OF ENVIRONMENT, v. 212, p. 161-175, JUN 2018. Web of Science Citations: 12.

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