Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass

Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass

This Special Issue (SI), entitled "Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass", resulted from 13 peer-reviewed papers dedicated to Forestry and Biomass mapping, characterization and accounting. The papers' authors presented improvements in Remot...

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Bibliographic Details
Other Authors: Aranha, José (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Research & information: general
Geography
AGB estimation and mapping
mangroves
UAV LiDAR
WorldView-2
terrestrial laser scanning
above-ground biomass
nondestructive method
DBH
bark roughness
Landsat dataset
forest AGC estimation
random forest
spatiotemporal evolution
aboveground biomass
variable selection
forest type
machine learning
subtropical forests
Landsat 8 OLI
seasonal images
stepwise regression
map quality
subtropical forest
urban vegetation
biomass estimation
Sentinel-2A
Xuzhou
forest biomass estimation
forest inventory data
multisource remote sensing
biomass density
ecosystem services
trade-off
synergy
multiple ES interactions
valley basin
norway spruce
LiDAR
allometric equation
individual tree detection
tree height
diameter at breast height
GEOMON
ALOS-2 L band SAR
Sentinel-1 C band SAR
Sentinel-2 MSI
ALOS DSM
stand volume
support vector machine for regression
ordinary kriging
forest succession
leaf area index
plant area index
machine learning algorithms
forest growing stock volume
SPOT6 imagery
Pinus massoniana plantations
sentinel 2
landsat
remote sensing
GIS
shrubs biomass
bioenergy
vegetation indices
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