Pedro Zamboni

Research associate

Dr. Pedro Alberto Pereira Zamboni

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Hülße-Bau (HÜL), Room W436

Academic career

PhD in Water Resources and Sanitation – 2024

“Enhancing hydrological monitoring through deep learning and photogrammetry”

MSc. In Water Resources and Sanitation – 2019

“Impacts of land cover and land use changes and climate changes on soil erosion in tropical basin”

B.A. in Environmental Engineering – 2017

Research areas: machine and deep learning for environmental studies, point cloud processing and classification hydrology, soil and water conservation, soil erosion, and remote sensing.

Publications

9 Entries

2026

Low-cost stereo vision and deep learning for river water level measurementZamboni, P., Krüger, R., Bertalan, L., Blanch Gorriz, X., Hindorf, P. & Eltner, A., 23 Jul 2026, ISPRS Congress 2026 “From Imagery to Understanding”, Commission II. Vol. 49. p. 321–326, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
AI-Driven Photogrammetric Workflow for Low-Cost Wadi MonitoringKrüger, R., Zamboni, P., Grundmann, J., Al-Rawas, G. & Eltner, A., 5 May 2026Electronic (full-text) versionResearch output: Contribution to conferences > Presentation slides

2025

Measuring water ponding time, location and connectivity on soil surfaces using time-lapse images and deep learningZamboni, P., Blümlein, M., Lenz, J., Gonçalves, W. N., Junior, J. M., Wöhling, T. & Eltner, A., 30 Jun 2025, In: Catena. 254, 108919Electronic (full-text) versionResearch output: Contribution to journal > Research article
Land use and land cover classification on high-resolution UAV images for heavy rainfall hazard maps using deep neural networksSprute, D., Hendrickx, H., Zamboni, P., Rushdi, M. I., Brodrecht, F., Eltner, A. & Flatt, H., 9 Jun 2025, In: Remote Sensing Applications: Society and Environment. 38, 28 p., 101609Electronic (full-text) versionResearch output: Contribution to journal > Research article
Stereo photogrammetry for river water level and cross-section update: classical and deep learning approachesZamboni, P. A. P., Krüger, R. & Eltner, A., 18 Mar 2025Electronic (full-text) versionResearch output: Contribution to conferences > Abstract
Do we need to label large datasets for river water segmentation? Benchmark and stage estimation with minimum to non-labeled image time seriesPereira Zamboni, P. A., Blanch Gorriz, X., Marcato Junior, J., Gonçalves, W. N. & Eltner, A., 2025, In: International journal of remote sensing. 46, 7, p. 2719-2747, 29 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article

2024

Synergistic image and point cloud processing of UAV data for urban flood modeling: point cloud smart thinning and curb mappingZamboni, P. A. P., Hendrickx, H., Sprute, D., Flatt, H., Rushdi, M. I., Brodrecht, F. & Eltner, A., 14 Dec 2024, 8th International ISPRS Workshop LowCost 3D - Sensors, Algorithms, Applications, 12–13 December 2024, Brescia, Italy. 2/W8-2024 ed., Vol. 48. p. 483–490, 8 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Assessment of climate change impacts on Brazilian catchments using a regional deep learning approachAlmagro, A., Pereira Zamboni, P. A. & Sanches de Oliveira, P. T., Apr 2024Electronic (full-text) versionResearch output: Contribution to conferences > Abstract
Water ponding timing, spatial distribution, and connectivity on soil surfaces measured by time-lapse imagery processed with deep learningPereira Zamboni, P. A., Lenz, J., Wöhling, T. & Eltner, A., Apr 2024Electronic (full-text) versionResearch output: Contribution to conferences > Abstract