Sfoglia per Titolo
Predicting kill sites of an apex predator from GPS data in different multi‐prey systems
2023-01-01 Oliveira, T.; Carricondo‐sanchez, D.; Mattisson, J.; Vogt, K.; Corradini, A.; Linnell, J.; Odden, J.; Heurich, M.; Rodríguez‐recio, M.; Krofel, M.
Predicting odour attributes in apple from SPME/GC-MS data
2013-01-01 Aprea, E.; Corollaro, M.L.; Betta, E.; Endrizzi, I.; Charles, M.C.; Dematte', M.L.; Gasperi, F.
Predicting of forest attributes with multispectral LiDAR data
2018-01-01 Dalponte, M.; Ene, L.T.; Gobakken, T.; Næsset, E.; Gianelle, D.
Predicting ozone fluxes, impacts and critical levels on European forests (PRO3FILE)
2018-01-01 Schaub, M.; Haeni, M.; Büker, P.; Emberson, L.; Simpson, D.; Ferretti, M.; Gottardini, E.; Rohner, B.; Kirchner, T.; Prescher, A.K.; Gessler, A.; Rigling, A.; Li, M.; Cailleret, M.
Predicting rodent population dynamics as early warning for zoonotic disease transmission
2022-01-01 Marini, G.; Rizzoli, A.; Tagliapietra, V.
Predicting selected forest stand characteristics with multispectral ALS data
2018-01-01 Dalponte, M.; Ene, L.T.; Gobakken, T.; Næsset, E.; Gianelle, D.
Predicting stem diameters and aboveground biomass of individual trees using remote sensing data
2018-01-01 Dalponte, M.; Frizzera, L.; Ørka, H.O.; Gobakken, T.; Næsset, E.; Gianelle, D.
Predicting the aboveground biomass of individual trees using remote sensing data and new allometric models: a case study in Norway
2016-01-01 Dalponte, M.; Frizzera, L.; Ørka, H.O.; Jucker, T.; Gobakken, T.; Næsset, E.; Gianelle, D.
Predicting the effects of parasite co-infection across species boundaries
2018-01-01 Lello, J.; Mcclure, S.J.; Tyrrell, K.; Viney, M.E.
Predicting tick-borne encephalitis risk using airborne pollen data in Western Central Europe
2022-01-01 Marini, G.; Cristofori, A.; Cristofolini, F.; Dagostin, F.; Tagliapietra, V.; Rizzoli, A.; Gottardini, E.
Prediction of anise flavour in apple from GC-MS and PTR-MS volatile profiling
2015-01-01 Khomenko, I.; Cappellin, L.; Charles, M.C.; Marini, F.; Gasperi, F.; Biasioli, F.
Prediction of competition indices in a Norway spruce and silver fir-dominated forest using Lidar data
2019-01-01 Versace, S.; Gianelle, D.; Frizzera, L.; Tognetti, R.; Garfì, V.; Dalponte, M.
Prediction of forest aboveground biomass using multitemporal multispectral remote sensing data
2021-01-01 Parth, N.; Dalponte, M.; Bruzzone, L.
Prediction of minimum temperatures in an Alpine region by linear and non-linear post-processing of meteorological models
2007-01-01 Eccel, E.; Ghielmi, L.; Granitto, P.M.; Barbiero, R.; Grazzini, F.; Cesari, D.
Prediction of species-specific volume using different inventory approaches by fusing airborne laser scanning and hyperspectral data
2017-01-01 Kandare, K.; Dalponte, M.; Ørka, H..O.; Frizzera, L.; Næsset, E.
Prediction of stem diameter and biomass at individual tree crown level with advanced machine learning techniques
2019-01-01 Malek, S.; Miglietta, F.; Gobakken, T.; Naesset, E.; Gianelle, D.; Dalponte, M.
Predictive models of wine tartaric stability using Fourier transform infrared spectroscopy
2012-01-01 Malacarne, M.; Bergamo, L.; Bertoldi, D.; Nicolini, G.; Larcher, R.
Predictive models of wine tartaric stability using infrared spectroscopy
2013-01-01 Malacarne, M.; Bertoldi, D.; Nicolini, G.; Roman, T.; Larcher, R.
PredRet: prediction of retention time by direct mapping between multiple chromatographic systems
2015-01-01 Stanstrup, J.; Neumann, S.; Vrhovsek, U.
Preface: phytoplankton responses to human impacts at different scales
2012-01-01 Salmaso, N.; Naselli-Flores, L.; Cerasino, L.; Flaim, G.; Tolotti, M.; Padisák, J.
| Data di pubblicazione | Titolo | Autore(i) | Tipo | File |
|---|---|---|---|---|
| 1-gen-2023 | Predicting kill sites of an apex predator from GPS data in different multi‐prey systems | Oliveira, T.; Carricondo‐sanchez, D.; Mattisson, J.; Vogt, K.; Corradini, A.; Linnell, J.; Odden, J.; Heurich, M.; Rodríguez‐recio, M.; Krofel, M. | - | |
| 1-gen-2013 | Predicting odour attributes in apple from SPME/GC-MS data | Aprea, E.; Corollaro, M.L.; Betta, E.; Endrizzi, I.; Charles, M.C.; Dematte', M.L.; Gasperi, F. | Abstract in Atti di convegno | |
| 1-gen-2018 | Predicting of forest attributes with multispectral LiDAR data | Dalponte, M.; Ene, L.T.; Gobakken, T.; Næsset, E.; Gianelle, D. | Poster | |
| 1-gen-2018 | Predicting ozone fluxes, impacts and critical levels on European forests (PRO3FILE) | Schaub, M.; Haeni, M.; Büker, P.; Emberson, L.; Simpson, D.; Ferretti, M.; Gottardini, E.; Rohner, B.; Kirchner, T.; Prescher, A.K.; Gessler, A.; Rigling, A.; Li, M.; Cailleret, M. | Abstract in Atti di convegno | |
| 1-gen-2022 | Predicting rodent population dynamics as early warning for zoonotic disease transmission | Marini, G.; Rizzoli, A.; Tagliapietra, V. | Abstract in rivista | |
| 1-gen-2018 | Predicting selected forest stand characteristics with multispectral ALS data | Dalponte, M.; Ene, L.T.; Gobakken, T.; Næsset, E.; Gianelle, D. | Articolo in rivista | |
| 1-gen-2018 | Predicting stem diameters and aboveground biomass of individual trees using remote sensing data | Dalponte, M.; Frizzera, L.; Ørka, H.O.; Gobakken, T.; Næsset, E.; Gianelle, D. | Articolo in rivista | |
| 1-gen-2016 | Predicting the aboveground biomass of individual trees using remote sensing data and new allometric models: a case study in Norway | Dalponte, M.; Frizzera, L.; Ørka, H.O.; Jucker, T.; Gobakken, T.; Næsset, E.; Gianelle, D. | Abstract in Atti di convegno | |
| 1-gen-2018 | Predicting the effects of parasite co-infection across species boundaries | Lello, J.; Mcclure, S.J.; Tyrrell, K.; Viney, M.E. | Articolo in rivista | |
| 1-gen-2022 | Predicting tick-borne encephalitis risk using airborne pollen data in Western Central Europe | Marini, G.; Cristofori, A.; Cristofolini, F.; Dagostin, F.; Tagliapietra, V.; Rizzoli, A.; Gottardini, E. | - | |
| 1-gen-2015 | Prediction of anise flavour in apple from GC-MS and PTR-MS volatile profiling | Khomenko, I.; Cappellin, L.; Charles, M.C.; Marini, F.; Gasperi, F.; Biasioli, F. | Abstract in Atti di convegno | |
| 1-gen-2019 | Prediction of competition indices in a Norway spruce and silver fir-dominated forest using Lidar data | Versace, S.; Gianelle, D.; Frizzera, L.; Tognetti, R.; Garfì, V.; Dalponte, M. | Articolo in rivista | |
| 1-gen-2021 | Prediction of forest aboveground biomass using multitemporal multispectral remote sensing data | Parth, N.; Dalponte, M.; Bruzzone, L. | Articolo in rivista | |
| 1-gen-2007 | Prediction of minimum temperatures in an Alpine region by linear and non-linear post-processing of meteorological models | Eccel, E.; Ghielmi, L.; Granitto, P.M.; Barbiero, R.; Grazzini, F.; Cesari, D. | Articolo in rivista | |
| 1-gen-2017 | Prediction of species-specific volume using different inventory approaches by fusing airborne laser scanning and hyperspectral data | Kandare, K.; Dalponte, M.; Ørka, H..O.; Frizzera, L.; Næsset, E. | Articolo in rivista | |
| 1-gen-2019 | Prediction of stem diameter and biomass at individual tree crown level with advanced machine learning techniques | Malek, S.; Miglietta, F.; Gobakken, T.; Naesset, E.; Gianelle, D.; Dalponte, M. | Articolo in rivista | |
| 1-gen-2012 | Predictive models of wine tartaric stability using Fourier transform infrared spectroscopy | Malacarne, M.; Bergamo, L.; Bertoldi, D.; Nicolini, G.; Larcher, R. | Abstract in rivista | |
| 1-gen-2013 | Predictive models of wine tartaric stability using infrared spectroscopy | Malacarne, M.; Bertoldi, D.; Nicolini, G.; Roman, T.; Larcher, R. | Abstract in Atti di convegno | |
| 1-gen-2015 | PredRet: prediction of retention time by direct mapping between multiple chromatographic systems | Stanstrup, J.; Neumann, S.; Vrhovsek, U. | Articolo in rivista | |
| 1-gen-2012 | Preface: phytoplankton responses to human impacts at different scales | Salmaso, N.; Naselli-Flores, L.; Cerasino, L.; Flaim, G.; Tolotti, M.; Padisák, J. | Articolo in rivista |
Legenda icone
- file ad accesso aperto file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile