Dr. Victor Hugo Rohden Prudente

Postdoctoral Fellow at SEAS, University of Michigan School for Environment and Sustainability

prof_pic.jpg

4024

440 Church Street

Ann Arbor, MI 48109

victorrp@umich.edu

I hold a Ph.D. in Remote Sensing from Brazil’s National Institute for Space Research (INPE), and Master’s and Bachelor’s degrees in Agricultural Engineering from the Western Paraná State University (Unioeste, Brazil).

My research centers on leveraging combined multisensor data for Land Use and Land Cover (LULC) monitoring, with a specific focus on applying diverse data sources - such as optical and synthetic aperture radar (SAR) images - for detailed crop mapping and monitoring. Currently, as a Research Fellow (Postdoc) at Dr. Meha Jain’s lab at the SEAS, University of Michigan School for Environment and Sustainability, I am developing remote sensing products designed to accurately estimate crop sowing times, areas, and dynamics within smallholder farming systems. This research aims to provide critical insights into farmer management practices and impacts, offering pathways to enhance agricultural resilience and sustainability.


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selected publications

  1. GEEadas: GEE-based automatic detection of adverse-frost stress
    M. Chaves , M. Adami , L. Oldoni , and 6 more authors
    Remote Sensing Applications: Society and Environment, 2025
  2. Mapping Grain Crop Start of Season in Smallholder Systems Using Optical Imagery
    V. H. R. Prudente , M. Garcia-Medina , V. Krishna , and 9 more authors
    Remote Sensing Applications: Society and Environment, 2025
  3. Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time-Series Similarity and Machine Learning Models with Sentinel Imagery
    A. D. B. GarciaI. D. Sanches, V. H. R. Prudente , and 1 more author
    AgriEngineering, 2025
  4. Multisensor approach to Land Use and Land Cover Mapping in Brazilian Amazon
    V. H. R. Prudente , S. Skakun , L. V. Oldoni, and 4 more authors
    ISPRS Journal of Photogrammetry and Remote Sensing, 2022
  5. Limitations of cloud cover for optical remote sensing of agricultural areas across South America
    V. H. R. Prudente , V. S. Martins , D. C. Vieira, and 3 more authors
    Remote Sensing Applications: Society and Environment, 2020