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