Sfoglia per Autore Næsset, E.

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Mostrati risultati da 1 a 18 di 18
Data di pubblicazione Titolo Autore(i) Tipo File
1-gen-2012 Characterizing forest species composition using multiple sensors and inventory approaches Ørka, H.O.; Dalponte, M.; Gobakken, T.; Næsset, E.; Ene, L. Abstract in Atti di convegno
1-gen-2013 Characterizing forest species composition using multiple remote sensing data sources and inventory approaches Ørka, H.O.; Dalponte, M.; Gobakken, T.; Næsset, E.; Ene, L.T. Articolo in rivista
1-gen-2013 Unsupervised selection of training plots and trees for tree species classification Dalponte, M.; Ene, L.T.; Ørka, H.O.; Gobakken, T.; Næsset, E. Contributo in Atti di convegno
1-gen-2013 Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images Persello, C.; Dalponte, M.; Gobakken, T.; Næsset, E. Contributo in Atti di convegno
1-gen-2014 Cost-sensitive active learning with lookahead: optimizing field surveys for remote sensing data classification Persello, C.; Boularias, A.; Dalponte, M.; Gobakken, T.; Næsset, E.; Schölkopf, B. Articolo in rivista
1-gen-2014 Unsupervised selection of training samples for tree species classification using hyperspectral data Dalponte, M.; Ene, L.T.; Ørka, H.O.; Gobakken, T.; Næsset, E. Articolo in rivista
1-gen-2014 Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data Dalponte, M.; Ørka, H.O.; Ene, L.T.; Gobakken, T.; Næsset, E. Articolo in rivista
1-gen-2015 Semi-supervised SVM for individual tree crown species classification Dalponte, M.; Ene, L.T.; Marconcini, M.; Gobakken, T.; Næsset, E. 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-2017 Tree species classification with hyperspectral data and artificial training samples Dalponte, M.; Frizzera, L.; Ørka, H.O.; Gobakken, T.; Næsset, E.; Gianelle, D. Abstract in Atti di convegno
1-gen-2017 Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data Kandare, K.; Ørka, H.O.; Dalponte, M.; Næsset, E.; Gobakken, T. 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-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-2018 Predicting of forest attributes with multispectral LiDAR data Dalponte, M.; Ene, L.T.; Gobakken, T.; Næsset, E.; Gianelle, D. Poster
1-gen-2018 Multispectral LiDAR data for the prediction of forest stand attributes Dalponte, M.; Ene, L.T.; Gobakken, T.; Næsset, E.; Gianelle, D. Abstract in Atti di convegno
1-gen-2019 Modelling site index in forest stands using airborne hyperspectral imagery and bi-temporal laser scanner data Bollandsås, O.M.; Ørka, H.O.; Dalponte, M.; Gobakken, T.; Næsset, E. Articolo in rivista
1-gen-2022 Detection of wood decay in Norway spruce trees using airborne hyperspectral data Dalponte, M.; Kallio, A.J.; Ørka, H.O.; Næsset, E.; Gobakken, T. -
Mostrati risultati da 1 a 18 di 18
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