TY  - GEN
AU  - Mozgeris,Gintautas
AU  - Balenović,Ivan
AU  - Mozgeris,Gintautas
AU  - Balenović,Ivan
TI  - Operationalization of Remote Sensing Solutions for Sustainable Forest Management
SN  - books978-3-0365-0983-9
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Research & information: general
KW  - bicssc
KW  - forest road inventory
KW  - total station
KW  - global navigation satellite system
KW  - point cloud
KW  - precision density
KW  - positional accuracy
KW  - efficiency
KW  - mangrove sustainability
KW  - deforestation depletion
KW  - anthropogenic
KW  - natural water balance
KW  - Southeast Asia
KW  - Phoracantha spp
KW  - unmanned aerial vehicle (UAV)
KW  - multispectral imagery
KW  - vegetation index
KW  - thresholding analysis
KW  - Large Scale Mean-Shift Segmentation (LSMS)
KW  - Random Forest (RF)
KW  - forest mask
KW  - validation
KW  - probability sampling
KW  - remote sensing
KW  - earth observations
KW  - forestry
KW  - accuracy assessment
KW  - forest classification
KW  - forested catchment
KW  - hydrological modeling
KW  - SWAT model
KW  - DEM
KW  - airborne laser scanning
KW  - deep learning
KW  - Landsat
KW  - national forest inventory
KW  - stand volume
KW  - bark beetle
KW  - Ips typographus L
KW  - pest
KW  - change detection
KW  - forest damage
KW  - spruce
KW  - Sentinel-2
KW  - damage mapping
KW  - multi-temporal regression
KW  - mangrove
KW  - replanting
KW  - restoration
KW  - analytic hierarchy process
KW  - UAV
KW  - DJI drone
KW  - machine learning
KW  - forest canopy
KW  - canopy gaps
KW  - canopy openings percentage
KW  - satellite indices
KW  - Elastic Net
KW  - beech-fir forests
KW  - pixel-based supervised classification
KW  - random forest
KW  - support vector machine
KW  - gray level cooccurrence matrix (GLCM)
KW  - principal component analysis (PCA)
KW  - WorldView-3
KW  - wildfires
KW  - MaxENT
KW  - risk modeling
KW  - GIS
KW  - multi-scale analysis
KW  - Yakutia
KW  - Artic
KW  - Siberia
KW  - phenology modelling
KW  - forest disturbance
KW  - forest monitoring
KW  - bark beetle infestation
KW  - forest management
KW  - time series analysis
KW  - satellite imagery
KW  - landsat time series
KW  - growing stock volume
KW  - forest inventory
KW  - harmonic regression
KW  - n/a
N1  - Open Access
N2  - The great potential of remote sensing technologies for operational use in sustainable forest management is addressed in this book, which is the reprint of papers published in the Remote Sensing Special Issue "Operationalization of Remote Sensing Solutions for Sustainable Forest Management". The studies come from three continents and cover multiple remote sensing systems (including terrestrial mobile laser scanning, unmanned aerial vehicles, airborne laser scanning, and satellite data acquisition) and a diversity of data processing algorithms, with a focus on machine learning approaches. The focus of the studies ranges from identification and characterization of individual trees to deriving national- or even continental-level forest attributes and maps. There are studies carefully describing exercises on the case study level, and there are also studies introducing new methodologies for transdisciplinary remote sensing applications. Even though most of the authors look forward to continuing their research, nearly all studies introduced are ready for operational use or have already been implemented in practical forestry
UR  - https://mdpi.com/books/pdfview/book/3789
UR  - https://directory.doabooks.org/handle/20.500.12854/76364
ER  -