| Predictive modelling benchmark of nitrate Vulnerable Zones at a regional scale based on Machine learning and remote sensing A Cardenas-Martinez, V Rodriguez-Galiano, JA Luque-Espinar, ... Journal of Hydrology 603, 127092, 2021 | 10 | 2021 |
| Predictive modelling of groundwater nitrate pollution at a regional scale using machine learning and feature selection A Cardenas-Martinez, V Rodriguez-Galiano, JA Luque-Espinar, ... EGU2020, 2020 | 1 | 2020 |
| USO DE CARACTERÍSTICAS DE FENOLOGIA E RANDOM FOREST (WRAPPER E EMBEDDED) PARA AVALIAÇÃO DA PROBABILIDADE DE OCORRÊNCIA DE NITRATOS NA ÁGUA SUBTERRÂNEA MP Mendes, A Cardenas-Martinez, JA Luque-Espinar, ... Proceedings–Extended Abstracts–of the 3rd Conference on Testing and …, 2022 | | 2022 |
| Use of Airborne LiDAR data processing tools and algorithms in natural forested areas: A systematic review A Cardenas-Martinez, FM Canero, MA Garcia-Perez, E Guisado-Pintado, ... EGU General Assembly Conference Abstracts, EGU22-6599, 2022 | | 2022 |
| An assessment of Random Forest wrappers for selecting important features of spectroscopy data in the modelling of soil properties FM Canero, A Cardenas-Martinez, D Aragones, V Rodriguez-Galiano EGU General Assembly Conference Abstracts, EGU22-2284, 2022 | | 2022 |
| Modelling and mapping soil pH in Andalusia (Spain) using phenological products as predictor features FM Canero, V Rodriguez-Galiano, A Cardenas-Martinez, ... EGU General Assembly Conference Abstracts, 5455, 2020 | | 2020 |
Victor F. Rodriguez GalianoUniversidad de SevillaDirección de correo verificada de us.es
