Corn Crop Frost Mapping: GEEadas Model Brazil | AcademicJobs
Discover how Brazilian researchers at UNESP developed GEEadas, a precise remote sensing model mapping frost damage on corn crops, enhancing accuracy for safrinha production in Paraná.
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Michel Eustáquio Dantas Chaves serves as Assistant Professor in the Department of Biosystems Engineering at the Faculdade de Ciências e Engenharia, Universidade Estadual Paulista (UNESP), Campus Tupã. He earned a Bachelor’s degree in Geography from the Universidade Federal de Alfenas (UNIFAL-MG) in 2011, with emphasis on environmental analysis and geoprocessing, followed by a Master’s degree in Agricultural Engineering from the Universidade Federal de Lavras (UFLA) in 2014. He has also been affiliated with the National Institute for Space Research (INPE) for advanced studies and research activities between 2019 and 2023.
Chaves’s academic work centers on geosciences, remote sensing, and environmental monitoring. His primary research interests include the application of Earth observation time series for crop monitoring and the analysis of land use and land cover changes in Brazil. He contributes to the Programa de Pós-Graduação em Agronegócio e Desenvolvimento (PGAD) at UNESP Tupã, where his expertise supports studies in geospatial intelligence and sustainable land management. No major awards, specific key publications with verified titles and years, editorial roles, or public lectures are detailed in official university profiles or academic records examined.
Discover how Brazilian researchers at UNESP developed GEEadas, a precise remote sensing model mapping frost damage on corn crops, enhancing accuracy for safrinha production in Paraná.
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