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Ana Paula Marques Ramos

Ph.D. Assistant Professor in the Department of Cartography · São Paulo State University (Unesp)

https://researchid.co/anaramos
@fct.unesp.br
71Scopus Publications
4014Google Scholar Citations
28Google Scholar h-index
48Google Scholar i10-index

Research Interests

Develops research in the Geomatics area, focusing on Remote Sensing of Vegetation and Cartography. Has been involved in research focused on the application of Machine Learning (shallow and deep algorithms) in Remote Sensing data.

Biography

Ph.D. in Cartographic Sciences from the São Paulo State University (Unesp). Currently, she is an Assistant Professor at Unesp in the Department of Cartography. Her experience is regarding Geosciences, with an emphasis on Remote Sensing of Vegetation, and spatial analysis. Recently she started to develop applied research by integrating Geomatics (mainly Remote Sensing of Vegetation, and spatial analysis) and Machine Learning (shallow and deep learning) areas into environmental and precision agriculture issues studies. She is a CNPq Research Productivity Scholarship (2021-2024) in the area of Geosciences (PQ level -two).

Education

2011-04-01 to 2015-04-30 | Ph.D. (Cartographic Sciences Post-Graduation Program); 2009-03-01 to 2011-03-31 | Master (Cartographic Sciences Post-Graduation Program); 2004-03-01 to 2008-12-31 | Graduated Cartographic Engineer (Cartographic Engineering)

Recent Scopus Publications

  1. Deep learning on segmenting large and narrow rivers with aerial RGB imagery: A comparison of convolutional and Vision-Transformer networks
    Remote Sensing Applications Society and Environment, 2026
  2. Identification of Leucaena leucocephala in Urban Landscapes Using Street-Level Images and Deep Learning
    Urban Science, 2026
  3. Mapping of urban tree canopy in high-resolution aerial imagery using deep neural networks
    ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, 2026
  4. Exploring the Segment Anything Model for Mapping Urban Tree Cover in Orbital Imagery
    ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, 2026
  5. A Machine Learning Framework for Classifying Thermal Stress in Bean Plants Using Hyperspectral Data
    Agriengineering, 2025

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