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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  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cumulative sum charts and charting for quality improvement / Douglas M. Hawkins, David H. Olwell
Cumulative sum charts and charting for quality improvement / Douglas M. Hawkins, David H. Olwell
Autore Hawkins, Douglas M.
Pubbl/distr/stampa New York : Springer, 1997
Descrizione fisica 247 p. ; 24 cm
Disciplina 658.562
Collana Statistics for engineering and physical science
Soggetto non controllato Controllo di qualità e affidabilità
Statistica aziendale
CUSUM
ISBN 0-387-98365-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990002901270403321
Hawkins, Douglas M.  
New York : Springer, 1997
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui