CV Lattes
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Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Faculdade de Ciências e Tecnologia (FCT) (Institutional affiliation from the last research proposal) Birthplace: Brazil
He holds a degree in Cartographic Engineering from São Paulo State University (UNESP), obtained in 1987. He earned a master's degree in Geodetic Sciences from the Federal University of Paraná in 1991, followed by a PhD in Engineering from the University of São Paulo in 1996. In 2003, became an Associate Professor at UNESP. He has also completed postdoctoral studies at several institutions, including the University of Maine in the USA (1999-2000), the University of Calgary in Canada (2007-2008), and the University of New Brunswick in Canada (2012-2013). Currently, he serves as a Full Professor at UNESP, where he is involved in both undergraduate and stricto sensu graduate programs. He benefits from research projects funded by the São Paulo Research Foundation (FAPESP) and the National Council for Scientific and Technological Development (CNPq). Additionally, he acts as an ad hoc consultant for several scientific journals, including Photogrammetric Engineering and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Letters, GIScience and Remote Sensing, and the Journal of Applied Remote Sensing. His expertise lies in the field of Geosciences, with a focus on Photogrammetry and Laser Scanning (LiDAR). (Source: Lattes Curriculum)
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Sustainable agriculture in 21st century will face major challenges being mandatory to assimilate new technologies to increase agricultural productivity and sustainability. digital agriculture is a key technology to face those challenges that includes multiresolution remote sensing, accurate geodetic positioning, geographic information systems, and artificial intelligence. The main aim of …
Brazil is a big country that has a challenging extension area and millions of kilometers of roads distributed irregularly. The road information is crucial for government planners and the economy (e.g., logistics). Since the 70s, several authors have created methods for automatic road extraction. All have advantages and disadvantages. However, the flexibility requirements with big data and…
The automated building extraction from remotely captured data (specifically optical images and laser scanning data) is a complex task, due to e.g. the inherent complexity of such objects and obstructions that exists in the real scene (caused e.g. by vegetation and shadow) or caused by the geometry of the employed sensor. Usually, the three-dimensional building reconstruction process from …
(Only some records are available in English at this moment)
The road network is one of the main ways of transport in the world, which provides many applications, such as urban planning, economy (logistics), autonomous navigation etc. Through aerial images, the road detection task is one of the most challenging and recurrent research topics in the Remote Sensing and Photogrammetry (RS&P) community, with the Convolutional Neural Networks (deep learn…
Accurately identifying the occurrence of nematodes in plantations is crucial to prevent losses in crop productivity. However, proper diagnosis demands a large number of soil and root samples across the cultivated area, resulting in high costs. The use of Remote Sensing and Photogrammetry enables precise detection and mapping of nematode infestations in soybean crops. Advanced Precision Ag…
This working plan proposes the use of orthomosaics, produced from very high resolution (circa 10 cm) RGB images, acquired via the Unmanned Aerial Vehicle (UAV) platform, to detect rows or lines of orange plantation. The image analysis method to be used is based on deep learning, known as convolutional neural networks (CNN). The basic idea to be explored in CNN learning is that there will …
(Only some records are available in English at this moment)
Accurately identifying the occurrence of nematodes in crops is crucial to avoid losses in crop productivity. However, proper diagnosis requires a large number of soil and root samples throughout the cultivated area, which results in high costs. The use of Remote Sensing and Photogrammetry enables the precise detection and mapping of nematode infestations in soybean crops. The advanced tec…
High quality orthophotos are essential elements in cartographic databases for many projects. Urban areas usually have many tall buildings that cause occlusion in aerial images. These occlusions can be severe depending on the height of the buildings, image acquisition viewpoint and also due to geometry. A product where no occlusion areas appear is called true-orthophoto. Occlusion detectio…
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| 19 / 6 | Completed research grants |
| 23 / 17 | Completed scholarships in Brazil |
| 3 / 2 | Completed scholarships abroad |
| 46 / 26 | All research grants and scholarships |
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