Remote Sensing Technology Applications in Forestry and REDD+

Advances in close-range and remote sensing technologies are driving innovations in forest resource assessments and monitoring on varying scales. Data acquired with airborne and spaceborne platforms provide high(er) spatial resolution, more frequent coverage, and more spectral information. Recent dev...

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Detalhes bibliográficos
Main Authors: Vastaranta, Mikko, Calders, Kim, Jonckheere, Inge, Nightingale, Joanne
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2020
Assuntos:
TD1-1066
T1-995
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
spectral
Cameroon
quantitative structural model
digital hemispherical photograph (DHP)
environment effects
human activity
reference level
terrestrial laser scanning
topographic effects
Guyana
predictive mapping
aboveground biomass estimation
geographic information system
Pinus massoniana
3D tree modelling
ensemble model
destructive sampling
model comparison
topography
remote sensing
forest growing stock volume (GSV)
local tree allometry
tree mapping
gray level co-occurrence matrix (GLCM)
deforestation
REDD+
sentinel imagery
geographically weighted regression
aboveground biomass
random forest
random forest (RF)
silviculture
agriculture
crown density
hazard mapping
model evaluation
old-growth forest
full polarimetric SAR
subtropical forest
forest canopy
forest classification
low-accuracy estimation
texture
LiDAR
Landsat
phenology
airborne laser scanning
tall trees
machine learning
forest baseline
overstory trees
support vector machine
above-ground biomass
multispectral satellite imagery
crown delineation
specific leaf area
forest inventory
canopy cover (CC)
voxelization
forestry
leaf area
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/58179
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