Sfoglia per Autore Gobakken, T.
Characterizing forest species composition using multiple sensors and inventory approaches
2012-01-01 Ørka, H.O.; Dalponte, M.; Gobakken, T.; Næsset, E.; Ene, L.
Effects of tree crown delineation in individual tree species classification with hyperspectral and LiDAR data
2012-01-01 Dalponte, M.; Ørka, H.O.; Ene, L.T.; Gobakken, T.; Gianelle, D.; Næsset, E.
Tree species classification in boreal forests with hyperspectral data
2012-09-01 Dalponte, M.; Ørka, H.O.; Gobakken, T.; Gianelle, D.; Næsset, E.
Unsupervised selection of training plots and trees for tree species classification
2013-01-01 Dalponte, M.; Ene, L.T.; Ørka, H.O.; Gobakken, T.; Næsset, E.
Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images
2013-01-01 Persello, C.; Dalponte, M.; Gobakken, T.; Næsset, E.
Tree species classification in boreal forests with hyperspectral data
2013-01-01 Dalponte, M.; Ørka, H.O.; Gobakken, T.; Gianelle, D.; Næsset, E.
Characterizing forest species composition using multiple remote sensing data sources and inventory approaches
2013-01-01 Ørka, H.O.; Dalponte, M.; Gobakken, T.; Næsset, E.; Ene, L.T.
Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data
2014-01-01 Dalponte, M.; Ørka, H.O.; Ene, L.T.; Gobakken, T.; Næsset, E.
Cost-sensitive active learning with lookahead: optimizing field surveys for remote sensing data classification
2014-01-01 Persello, C.; Boularias, A.; Dalponte, M.; Gobakken, T.; Næsset, E.; Schölkopf, B.
Unsupervised selection of training samples for tree species classification using hyperspectral data
2014-01-01 Dalponte, M.; Ene, L.T.; Ørka, H.O.; Gobakken, T.; Næsset, E.
Semi-supervised SVM for individual tree crown species classification
2015-01-01 Dalponte, M.; Ene, L.T.; Marconcini, M.; Gobakken, T.; Næsset, E.
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.
Tree species classification with hyperspectral data and artificial training samples
2017-01-01 Dalponte, M.; Frizzera, L.; Ørka, H.O.; Gobakken, T.; Næsset, E.; Gianelle, D.
Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data
2017-01-01 Kandare, K.; Ørka, H.O.; Dalponte, M.; Næsset, E.; Gobakken, T.
Multispectral LiDAR data for the prediction of forest stand attributes
2018-01-01 Dalponte, M.; Ene, L.T.; Gobakken, T.; Næsset, E.; Gianelle, D.
Predicting of forest attributes with multispectral LiDAR data
2018-01-01 Dalponte, M.; Ene, L.T.; Gobakken, T.; Næsset, E.; Gianelle, D.
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.
Modelling site index in forest stands using airborne hyperspectral imagery and bi-temporal laser scanner data
2019-01-01 Bollandsås, O.M.; Ørka, H.O.; Dalponte, M.; Gobakken, T.; 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.
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-2012 | Effects of tree crown delineation in individual tree species classification with hyperspectral and LiDAR data | Dalponte, M.; Ørka, H.O.; Ene, L.T.; Gobakken, T.; Gianelle, D.; Næsset, E. | Contributo in Atti di convegno | |
1-set-2012 | Tree species classification in boreal forests with hyperspectral data | Dalponte, M.; Ørka, H.O.; Gobakken, T.; Gianelle, D.; Næsset, E. | Abstract in Atti di convegno | |
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-2013 | Tree species classification in boreal forests with hyperspectral data | Dalponte, M.; Ørka, H.O.; Gobakken, T.; Gianelle, D.; Næsset, E. | Articolo in rivista | |
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-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-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-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-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-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 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-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-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 |
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