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Monitoring Forest Carbon Sequestration with Remote Sensing

The forest, as the main body of the terrestrial ecosystem, has a huge carbon sink function and plays an important role in coping with global climate change. This reprint on “Monitoring forest carbon sequestration with remote sensing” mainly focuses on new remote sensing theories, methods, and techno...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2023
Soggetti:
forest height
synthetic aperture radar (SAR)
interferometry
random volume over ground (RVoG) model
three-stage inversion method
bamboo forest
BEPS model
gross primary productivity
net primary productivity
spatiotemporal evolution
climate change
backscatter coefficients
polarization decomposition
collinearity
ridge regression
RF
PCA
aboveground carbon density
LiDAR
stratified estimation
machine learning algorithm
Northeast China
canopy closure
the GOST model
fisheye camera photos
transects
LAI
forest height inversion
three-stage algorithm
coherence optimization
complex coherence amplitude inversion
SRTM
random forest
stochastic gradient boosting
random forest Kriging
wavelet analysis
carbon storage
land use/cover change
scenario simulation
PLUS model
InVEST model
remote sensing inversion
dynamic change
driving factors
Shaoguan City
above-ground biomass (AGB)
airborne LiDAR
airborne hyperspectral
wavelet transform
feature fusion
Landsat time-series
VCT model
classifying forest types
forest aboveground biomass
forest aboveground biomass (AGB)
scale effect
random forest (RF)
scale correction
phenology
dynamic threshold method
northeast China
TIMESAT
forest carbon stocks
simulation
LUCC
multi-source data
feature selection
aboveground biomass
habitat dataset
Landsat 8-OLI images
pine forest
model comparison
3D green volume
UAV-Lidar
urban forest
random forest model
remote sensing
MODIS
FY-3C VIRR
Yunnan Province
mangrove forests
Hainan Island
deep learning
influential mechanism
Bayesian hierarchical modelling
geostatistics
Eucalyptus grandis
Eucalyptus camaldulensis
Pinus patula
spatial random effects
spatially varying coefficient
rubber plantation
time series
shapelet
Landsat
Pinus densata
terrain niche index
dynamic model
canopy volume
diameter at breast height (DBH)
aboveground biomass (AGB)
stem volume (V)
near-infrared reflectance of vegetation
carbon budget
L-band PolInSAR
RVoG model
forest density
terrain slope
coherence
extinction coefficient
signal penetration
3-PG model
eucalyptus
forest age
forest structure
sensitivity
clumping index
estimation
impact analysis
field measurement
Sentinel-2 images
artificial neural network
random forests
quantile regression neural network
Pinus densata forests
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
Accesso online:ONIX_20230511_9783036572086_52
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