Sfoglia per Rivista REMOTE SENSING
New automated method to develop geometrically corrected time series of brightness temperatures from historical AVHRR LAC data
2016-01-01 Pareeth, S.; Delucchi, L.; Metz, M.; Rocchini, D.; Devasthale, A.; Raspaud, M.; Adrian, R.; Salmaso, N.; Neteler, M.G.
Optimizing field data collection for individual tree attribute predictions using active learning methods
2019-01-01 Malek, S.; Miglietta, F.; Gobakken, T.; Naesset, E.; Gianelle, D.; Dalponte, M.
Potential and limitations of grasslands α-diversity prediction using fine-scale hyperspectral imagery
2021-01-01 Imran, H.A.; Gianelle, D.; Scotton, M.; Rocchini, D.; Dalponte, M.; Macolino, S.; Sakowska, K.; Pornaro, C.; Vescovo, L.
Predicting selected forest stand characteristics with multispectral ALS data
2018-01-01 Dalponte, M.; Ene, L.T.; Gobakken, T.; Næsset, E.; Gianelle, D.
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 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.
Surface temperatures at the continental scale: tracking changes with remote sensing at unprecedented detail
2014-01-01 Metz, M.; Rocchini, D.; Neteler, M.G.
Tree species classification in a highly diverse subtropical forest integrating UAV-based photogrammetric point cloud and hyperspectral data
2019-01-01 Sothe, C.; Dalponte, M.; de Almeida, C.M.; Schimalski, M.B.; Lima, C.L.; Liesenberg, V.; Takahashi Miyoshi, G.; Garcia Tommaselli, A.M.
UAV-based hyperspectral imagery for detection of root, butt, and stem rot in Norway spruce
2022-01-01 Allen, B.; Dalponte, M.; Ørka, H.O.; Næsset, E.; Puliti, S.; Astrup, R.; Gobakken, T.
VIS-NIR, red-edge and NIR-shoulder based normalized vegetation indices response to covarying leaf and canopy structural traits in heterogeneous grasslands
2020-01-01 Imran, A.H.; Gianelle, D.; Rocchini, D.; Dalponte, M.; Martín, M.P.; Sakowska, K.; Wohlfahrt, G.; Vescovo, L.
A weighted SVM-based approach to tree species classification at individual tree crown level using LiDAR data
2019-01-01 Nguyen, H.M.; Demir, B.; Dalponte, M.
Wood decay detection in Norway spruce forests based on airborne hyperspectral and ALS data
2022-01-01 Dalponte, M.; Kallio, A.J.I.; Ørka, H.O.; Næsset, E.; Gobakken, T.
| Data di pubblicazione | Titolo | Autore(i) | Tipo | File |
|---|---|---|---|---|
| 1-gen-2016 | New automated method to develop geometrically corrected time series of brightness temperatures from historical AVHRR LAC data | Pareeth, S.; Delucchi, L.; Metz, M.; Rocchini, D.; Devasthale, A.; Raspaud, M.; Adrian, R.; Salmaso, N.; Neteler, M.G. | Articolo in rivista | |
| 1-gen-2019 | Optimizing field data collection for individual tree attribute predictions using active learning methods | Malek, S.; Miglietta, F.; Gobakken, T.; Naesset, E.; Gianelle, D.; Dalponte, M. | Articolo in rivista | |
| 1-gen-2021 | Potential and limitations of grasslands α-diversity prediction using fine-scale hyperspectral imagery | Imran, H.A.; Gianelle, D.; Scotton, M.; Rocchini, D.; Dalponte, M.; Macolino, S.; Sakowska, K.; Pornaro, C.; Vescovo, L. | 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-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-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-2014 | Surface temperatures at the continental scale: tracking changes with remote sensing at unprecedented detail | Metz, M.; Rocchini, D.; Neteler, M.G. | Articolo in rivista | |
| 1-gen-2019 | Tree species classification in a highly diverse subtropical forest integrating UAV-based photogrammetric point cloud and hyperspectral data | Sothe, C.; Dalponte, M.; de Almeida, C.M.; Schimalski, M.B.; Lima, C.L.; Liesenberg, V.; Takahashi Miyoshi, G.; Garcia Tommaselli, A.M. | Articolo in rivista | |
| 1-gen-2022 | UAV-based hyperspectral imagery for detection of root, butt, and stem rot in Norway spruce | Allen, B.; Dalponte, M.; Ørka, H.O.; Næsset, E.; Puliti, S.; Astrup, R.; Gobakken, T. | - | |
| 1-gen-2020 | VIS-NIR, red-edge and NIR-shoulder based normalized vegetation indices response to covarying leaf and canopy structural traits in heterogeneous grasslands | Imran, A.H.; Gianelle, D.; Rocchini, D.; Dalponte, M.; Martín, M.P.; Sakowska, K.; Wohlfahrt, G.; Vescovo, L. | Articolo in rivista | |
| 1-gen-2019 | A weighted SVM-based approach to tree species classification at individual tree crown level using LiDAR data | Nguyen, H.M.; Demir, B.; Dalponte, M. | Articolo in rivista | |
| 1-gen-2022 | Wood decay detection in Norway spruce forests based on airborne hyperspectral and ALS data | Dalponte, M.; Kallio, A.J.I.; Ørka, H.O.; Næsset, E.; Gobakken, T. | Articolo in rivista |
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