Dalphinet, A.[Alice]
* 2018: Extreme Wave Height Events in NW Spain: A Combined Multi-Sensor and Model Approach
* 2021: New Observations From the SWIM Radar On-Board CFOSAT: Instrument Validation and Ocean Wave Measurement Assessment
Includes: Dalphinet, A.[Alice] Dalphinet, A.
Dalponte, M.
* 2008: Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas
* 2011: role of ground reference data collection in the prediction of stem volume with LiDAR data in mountain areas, The
* 2011: System for the Estimation of Single-Tree Stem Diameter and Volume Using Multireturn LIDAR Data, A
* 2013: Tree Species Classification in Boreal Forests With Hyperspectral Data
* 2014: Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification
* 2015: Semi-supervised SVM for individual tree crown species classification
* 2017: Prediction of Species-Specific Volume Using Different Inventory Approaches by Fusing Airborne Laser Scanning and Hyperspectral Data
* 2018: Predicting Selected Forest Stand Characteristics with Multispectral ALS Data
* 2019: Assessing Across-Scale Optical Diversity and Productivity Relationships in Grasslands of the Italian Alps
* 2019: Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data
* 2019: Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods
* 2019: Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data
* 2019: Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data
* 2019: Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data, A
* 2020: Global Airborne Laser Scanning Data Providers Database (GlobALS): A New Tool for Monitoring Ecosystems and Biodiversity
* 2020: VIS-NIR, Red-Edge and NIR-Shoulder Based Normalized Vegetation Indices Response to Co-Varying Leaf and Canopy Structural Traits in Heterogeneous Grasslands
* 2021: Potential and Limitations of Grasslands alpha-Diversity Prediction Using Fine-Scale Hyperspectral Imagery
* 2021: Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data
* 2022: Mapping a European Spruce Bark Beetle Outbreak Using Sentinel-2 Remote Sensing Data
* 2022: UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce
* 2022: Wood Decay Detection in Norway Spruce Forests Based on Airborne Hyperspectral and ALS Data
Includes: Dalponte, M. Dalponte, M.[Michele]
21 for Dalponte, M.