TAGLIABUE GIULIA

Tagliabue, G., Panigada, C., Savinelli, B., Vignali, L., Gallia, L., Gentili, R., et al. (2023). Exploitation of PRISMA Spaceborne Hyperspectral Observations for Improved Functional Trait Retrievals in Mid-Latitude Forest Ecosystems. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp.1261-1264). Institute of Electrical and Electronics Engineers Inc. [10.1109/IGARSS52108.2023.10282520]. Detail

Berger, K., Machwitz, M., Kycko, M., Kefauver, S., Van Wittenberghe, S., Gerhards, M., et al. (2022). Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review. REMOTE SENSING OF ENVIRONMENT, 280(October 2022) [10.1016/j.rse.2022.113198]. Detail

Tagliabue, G., Boschetti, M., Bramati, G., Candiani, G., Colombo, R., Nutini, F., et al. (2022). Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 187(May 2022), 362-377 [10.1016/j.isprsjprs.2022.03.014]. Detail

Pascual-Venteo, A., Portalés, E., Berger, K., Tagliabue, G., Garcia, J., Pérez-Suay, A., et al. (2022). Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data. REMOTE SENSING, 14(10) [10.3390/rs14102448]. Detail

Candiani, G., Tagliabue, G., Panigada, C., Verrelst, J., Picchi, V., Rivera-Caicedo, J., et al. (2022). Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission. REMOTE SENSING, 14(8), 1-22 [10.3390/rs14081792]. Detail