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Global Sustainable Bioenergy initiative: geospatial and environmental analysis of pastureland intensification for bioenergy

Grant number: 17/06037-4
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): July 01, 2017
Effective date (End): March 31, 2021
Field of knowledge:Agronomical Sciences - Agricultural Engineering
Principal researcher:John Joseph Sheehan
Grantee:Julianne de Castro Oliveira
Home Institution: Faculdade de Engenharia Agrícola (FEAGRI). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:14/26767-9 - Global Sustainable Bioenergy Initiative: geospatial & environmental analysis of pastureland intensification for bioenergy, AP.SPEC


Satellite imagery is a valuable tool for worldwide agriculture mapping and monitoring. It provides data that cannot be obtained by other means. The recent launching of new space borne platforms, with more spatial and temporal resolution, has increased the possibilities of mapping crop types based on remote sensing data. Due to the complexity of land-cover dynamics, detailed research is necessary to establish patterns that can be standardized to represent and map such changes (ex: sugarcanexpasture). When data are available, the temporal profiles of normalized difference vegetation index (NDVI) from satellite imagery provide an excellent tool for distinguishing different land covers.Extension of remote sensing techniques to better quantify pasture and the degree of intensification applied in pasture management would be extremely valuable. But applying remote sensing to pasture land is challenging due to complexities associated with differentiating pasture from other land uses based on spectral data. Application of remote sensing to detect land use over time and analyze the potential for intensified livestock and crop production is an important frontier with clear potential and value to the scientific community. Even more important, a better understanding of pastureland use and potential is essential in order to model the potential for agricultural and biomass production and to study the intensification of cropping and rangeland systems.

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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)
OLIVEIRA, JULIANNE; CAMPBELL, ELEANOR E.; LAMPARELLI, RUBENS A. C.; FIGUEIREDO, GLEYCE K. D. A.; SOARES, JOHNNY R.; JAISWAL, DEEPAK; MONTEIRO, LEONARDO A.; VIANNA, MURILO S.; LYND, LEE R.; SHEEHAN, JOHN J.. Choosing pasture maps: An assessment of pasture land classification definitions and a case study of Brazil. International Journal of Applied Earth Observation and Geoinformation, v. 93, . (17/08970-0, 17/06037-4, 14/26767-9, 18/11052-5, 16/08741-8)
MONTEIRO, LEONARDO A.; ALLEE, ANDREW M.; CAMPBELL, ELEANOR E.; LYND, LEE R.; SOARES, JOHNNY R.; JAISWAL, DEEPAK; DE CASTRO OLIVEIRA, JULIANNE; DOS SANTOS VIANNA, MURILO; MORISHIGE, ASHLEY E.; FIGUEIREDO, GLEYCE K. D. A.; et al. Assessment of yield gaps on global grazed-only permanent pasture using climate binning. GLOBAL CHANGE BIOLOGY, v. 26, n. 3, . (17/08970-0, 16/08742-4, 16/20307-1, 18/11052-5, 17/25023-4, 17/06037-4, 16/08741-8, 14/26767-9)

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