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 Opportunities: Scholarships abroad - Research
• Start date: December 21, 2013
• End date: February 28, 2014
• Field of knowledge: Agronomical Sciences - Agronomy - Soil Science
• Principal Investigator: José Alexandre Melo Demattê
• Grantee: José Alexandre Melo Demattê
• Host Investigator: Cristine Lois Smith Morgan
• Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
• Institution abroad: Texas A&M University, United States

Abstract

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. (16/01597-9, 14/22262-0, 17/03207-6, 13/18769-9, 16/26124-6, 13/20377-1)

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. (13/18769-9, 14/22262-0, 16/01597-9, 13/20377-1)