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Advances in Remote Sensing for Global Forest Monitoring

The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and...

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Gardado en:
Formato: Online
Idioma:inglés
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
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
n/a
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
Acceso en liña:ONIX_20220111_9783036512525_459
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