Expertises
Earth and Planetary Sciences
- Cerrado
- Cartography
- Learning
- Biome
- Time Series
- Map
- Model
Computer Science
- Models
Organisaties
Publicaties
2024
Mapping the Brazilian savanna’s natural vegetation: A SAR-optical uncertainty-aware deep learning approach (2024)ISPRS journal of photogrammetry and remote sensing, 218, 405-421 (E-pub ahead of print/First online). Filho, P. S., Persello, C., Maretto, R. & Machado, R.https://doi.org/10.1016/j.isprsjprs.2024.09.019Gathering, structuring, and analyzing the space-related educational programs and their courses at the Bachelor, Master, Phd, and continuous education levels. (2024)In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 3732-3735) (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. Belgiu, M., Al Asmar, Y., Vargas Maretto, R., La, H., Ronzhin, S., Thiemann, H., Kerkezian, S., Kolehmainen, M., Bodenan, J. D., Stupar, D., Peter, N., Petrakis, G., Maddock, C. & Detsis, E.https://doi.org/10.1109/IGARSS53475.2024.10640886Remote sensing vegetation Indices-Driven models for sugarcane evapotranspiration estimation in the semiarid Ethiopian Rift Valley (2024)ISPRS journal of photogrammetry and remote sensing, 215, 136-156. Woldemariam, G. W., Awoke, B. G. & Maretto, R. V.https://doi.org/10.1016/j.isprsjprs.2024.07.004Feature-guided deep learning model for mapping deprived areas (2024)In 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024. IEEE. Filho, P. S., Tareke, B., Persello, C., Kuffer, M., Maretto, R., Abascal, A., Wang, J. & MacHado, R.https://doi.org/10.1109/MIGARS61408.2024.10544988User and data-centric artificial intelligence for mapping urban deprivation in multiple cities across the globe (2024)In IGARSS 2024: 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 1553-1557) (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2024). IEEE. Tareke, B., Filho, P. S., Persello, C., Kuffer, M., Maretto, R., Wang, J., Abascal, A., Pillai, P., Singh, B., D’Attoli, J. M., Kabaria, C., Pedrassoli, J., Brito, P., Elias, P., Atenógenes, E. & Santiago, A. R.https://doi.org/10.1109/IGARSS53475.2024.10640428
2023
Deep Learning and Cloudy Optical Time Series: A Case of Study with LSTM to Map LULC in Pantanal (2023)In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 7179-7182) (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. Matosak, B. M., Fonseca, L. M. G. & Maretto, R. V.https://doi.org/10.1109/IGARSS52108.2023.10282993Hypersaline Tidal Flats Detection Using Deep Learning Over 37 Years of Landsat Data (2023)In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 3337-3340) (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. Pinheiro, M. L., Cortinhas, L., Diniz, C., Maretto, R. V. & Grellert, M.https://doi.org/10.1109/IGARSS52108.2023.10282540Investigating Sar-Optical Deep Learning Data Fusion to Map the Brazilian Cerrado Vegetation with Sentinel Data (2023)In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 1365-1368) (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023). IEEE. Filho, P. S., Persello, C., Maretto, R. V. & MacHado, R.https://doi.org/10.1109/IGARSS52108.2023.10282190Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning (2023)In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 4990-4993) (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. Sastry, S., Jacobs, N., Belgiu, M. & Maretto, R. V.https://doi.org/10.1109/IGARSS52108.2023.10281434
2022
Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series (2022)Remote sensing, 14(1). Article 209. Matosak, B. M., Fonseca, L. M. G., Taquary, E. C., Maretto, R. V., Bendini, H. D. N. & Adami, M.https://doi.org/10.3390/rs14010209
Onderzoeksprofielen
Verbonden aan opleidingen
Vakken collegejaar 2024/2025
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken collegejaar 2023/2024
Adres
Universiteit Twente
Langezijds (gebouwnr. 19), kamer 1320
Hallenweg 8
7522 NH Enschede
Universiteit Twente
Langezijds 1320
Postbus 217
7500 AE Enschede
Organisaties
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