Iiro Seppä
MSc (geography)
iiro.seppa@utu.fi |
Geoinformatics | Deep Learning | Hydrological modelling | LSTM-networks | Computer Vision
Digital Waters Flagship (www.digitalwaters.fi)
- CAMELS-FI : hydrometeorological time series and landscape properties for 320 catchments in Finland (2026)
- Earth System Science Data
- The impact of seasonal hydroclimatic variability and NDVI on long-term nutrient dynamics in a Finnish agricultural catchment draining to the Baltic Sea (2026) EGU General Assembly 2026 Plutova, Beata; Gonzales Inca, Carlos; Kakaei Lafdani, Elham; Seppä, Iiro; Kasvi, Elina; Kämäri, Maria; Alho, Petteri; Kankare, Ville
- The impact of seasonal hydroclimatic variability and vegetation dynamics on long-term nutrient trends − Evidence from an agriculture-dominated watershed draining to the Baltic Sea (2026)
- Journal of Hydrology
- Addressing imbalanced data for machine learning based mineral prospectivity mapping (2024)
- Ore Geology Reviews
- Geography of ancient geometric earthworks and their builders in southwestern Amazonia (2024)
- Acta Amazonica
- CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery (2023) 2023 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Farahnakian Fahimeh, Zelioli Luca, Middleton Maarit, Seppä Iiro, Pitkänen Timo P., Heikkonen Jukka
- Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches (2023)
- Proceedings of Conference of Open Innovations Association FRUCT
UTU Research Portal