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Advances in Remote Sensing for Global Forest Monitoring
| Advances in Remote Sensing for Global Forest Monitoring |
| Autore | Tomppo Erkki |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (352 p.) |
| Soggetto topico |
Environmental economics
Research and information: general |
| Soggetto non controllato |
activity data
bootstrapping boreal forest Bowen ratio C-band canopy height model carbon flux classification compatible equation constrained neighbor interpolation CRFasRNN CUSUM data assessment data fusion deep learning deforestation degradation digital surface model digital terrain model drought dual-FCN8s EBLUP emissions factor error propagation error-in-variable modeling FCN8s field measured LAI forest area change forest cover forest disturbance mapping forest monitoring forest structure change forest type genetic algorithm Germany GF2 improved k-NN inconsistency IPCC good practice guidelines La Rioja land use land cover Landsat leave-one-out cross-validation LiDAR logistic regression machine-learning magnitude multinomial logistic regression multitemporal LiDAR and stand-level estimates n/a near real-time monitoring nonlinear seemingly unrelated regression NRT monitoring ordinary neighbor interpolation Picea crassifolia Kom point cloud density random forest random forests remotely sensed LAI removals factor savanna Sentinel 2 Sentinel-1 Sentinel-2 small area estimation South Africa state space models statistical estimator stereo imagery support vector machine synthetic aperture radar temperate forest temporal dynamics time series satellite data tropical forest tropical peat uncertainty uncertainty evaluation validation windstorm damage |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338103321 |
Tomppo Erkki
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments
| UAV or Drones for Remote Sensing Applications in GPS/GNSS Enabled and GPS/GNSS Denied Environments |
| Autore | Gonzalez Toro Felipe |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (388 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D registration
accuracy aerial systems applications, inspection robotics, bridge inspection with UAS autonomous localization backpack mobile mapping bioinspired map bundle block adjustment change detection coastal mapping coastal monitoring computer architecture consensus theory convolutional neural networks data collection decision making deep learning Deep Reinforcement-Learning Digital Elevation Models (DEMs) digital surface model direct georeferencing distributed state estimation DSM assessment emergency landing geomorphological evolution GNSS GPS-denied environment ground effect image alignment inspection Kalman filter Kilim River landing laser guidance machine vision map exploration moving camera multi-agent multi-robot multiple UAV navigation multirotor navigation navigation in GPS/GNSS-denied environments onboard GNSS RTK OODA optical flow orthomosaic particle filter photogrammetry POMDP real-time remote sensing search search and rescue semantics sensor faults snow depth snow field snow mapping snow-covered area Structure-from-Motion (SfM) target detection technical guidelines tidal phase topologic mapping UAS UAS traffic management UAV UAV imagery UAV photogrammetry UAV swarms underground cellars unmanned aerial system unmanned aerial vehicle unmanned aerial vehicles Unmanned Aerial Vehicles (UAVs) video navigation vision and action vision-based navigation visual detection visual tracking water level changes YOLO |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557343503321 |
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Gonzalez Toro Felipe
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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