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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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ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications
| ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications |
| Autore | Tadono Takeo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology History of engineering and technology Environmental science, engineering and technology |
| Soggetto non controllato |
Sentinel-1
ALOS/PALSAR-2 land subsidence accuracy assessment Alexandria City Egypt local climate zone random forest feature importance land surface temperature grid cells Sentinel-2 PALSAR-2 ASTER soil moisture ALOS-2 GA-BP water cloud model L-band SAR backscattering soil moisture content LAI HH and HV polarization flood NoBADI Florida Hurricane Irma synthetic aperture radar polarimetric radar co-polarized phase difference radar scattering vegetation radar applications agriculture leaf area index leave-one-out cross-validation oil palm radar vegetation index vegetation descriptors ecosystem carbon cycle L-band SAR vegetation index random forest regression plantation permafrost InSAR Qinghai-Tibet Plateau ALOS thermal melting collapse Sentinel-1A SBAS-InSAR heavy forest area potential landslide identification SAR-based landslide detection Growing Split-Based Approach (GSBA) Hokkaido landslide Putanpunas landslide SAR polarimetry model-free 3-component decomposition for full polarimetric data (MF3CF) radar polarimetry calibration Faraday rotation |
| ISBN | 3-0365-6105-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639994803321 |
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Tadono Takeo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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