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 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
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Afforestation and Reforestation : : Drivers, Dynamics, and Impacts / / Lu Hao, Ge Sun, Zhiqiang Zhang, Jingfeng Xiao, Gang Dong
| Afforestation and Reforestation : : Drivers, Dynamics, and Impacts / / Lu Hao, Ge Sun, Zhiqiang Zhang, Jingfeng Xiao, Gang Dong |
| Autore | Hao Lu |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (194 p.) |
| Soggetto topico | Biology, life sciences |
| Soggetto non controllato |
simulation modeling
shear strength stand structure vegetation restoration surface runoff soil and water conservation function soil enzymes riverbank evapotranspiration human activity afforestation Artemisia ordosica forest cover precipitation variation soil bioengineering base flow Poyang Lake Basin in situ calibration quantification chlorophyll fluorescence photoprotection remote sensing root distribution ecosystem model CASA afforestation ecosystem phenophase vegetation cover change soil characteristics Robinia pseudoacacia L. and Pinus tabulaeformis Carr. mixed plantations composted pine bark water-energy balance sediment load soil respiration energy partitioning soil microbial biomass transpiration net primary productivity spatio-temporal scales seedling quality peat moss fresh pine sawdust understory plants ring-porous trees different climatic conditions dye tests structural equation model Loess Plateau evapotranspiration (ET) Pinus engelmannii Carr empirical statistics heat dissipation probes MODIS slope change ratio of cumulative quantities (SCRCQ) soil water balance LAI climate fluctuation BTOPMC model living brush mattress vegetation greening streamflow |
| ISBN |
9783039214488
3039214489 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367752403321 |
|
Hao Lu
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remotely Sensed Albedo
| Remotely Sensed Albedo |
| Autore | Liang Shunlin |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (250 p.) |
| Soggetto topico |
Environmental economics
Research & information: general |
| Soggetto non controllato |
albedo
Arctic AVHRR bare soil albedo bi-hemispherical reflectance BRDF BRDF/Albedo CGLS climate climate change consumer-grade camera contiguous United States directional correction directional hemispherical reflectance DMSP empirical modeling EnKF forest cover forest management forest structure GC-NET high spatio-temporal resolution HLS land surface albedo land use Landsat Landsat albedo landscape linear endmember LTDR MISR MODIS MODIS albedo n/a NDSI Snow Cover OzFlux PROMICE radiometric calibration remote sensing sea ice semivariogram Sentinel 2 snow soil line soil moisture spatial representativeness spectral unmixing surface albedo SURFRAD time series tower albedometer Unmanned Aerial Vehicle (UAV) Unmanned Aerial Vehicles upscaling urbanization validation vegetation indices vegetation variation VIIRS VJB |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557135603321 |
|
Liang Shunlin
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||