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Western balsam bark beetle --- Fir --- Biological control --- Diseases and pests

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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.

Research & information: general --- forest road inventory --- total station --- global navigation satellite system --- point cloud --- precision density --- positional accuracy --- efficiency --- mangrove sustainability --- deforestation depletion --- anthropogenic --- natural water balance --- Southeast Asia --- Phoracantha spp. --- unmanned aerial vehicle (UAV) --- multispectral imagery --- vegetation index --- thresholding analysis --- Large Scale Mean-Shift Segmentation (LSMS) --- Random Forest (RF) --- forest mask --- validation --- probability sampling --- remote sensing --- earth observations --- forestry --- accuracy assessment --- forest classification --- forested catchment --- hydrological modeling --- SWAT model --- DEM --- airborne laser scanning --- deep learning --- Landsat --- national forest inventory --- stand volume --- bark beetle --- Ips typographus L. --- pest --- change detection --- forest damage --- spruce --- Sentinel-2 --- damage mapping --- multi-temporal regression --- mangrove --- replanting --- restoration --- analytic hierarchy process --- UAV --- DJI drone --- machine learning --- forest canopy --- canopy gaps --- canopy openings percentage --- satellite indices --- Elastic Net --- beech–fir forests --- pixel-based supervised classification --- random forest --- support vector machine --- gray level cooccurrence matrix (GLCM) --- principal component analysis (PCA) --- WorldView-3 --- wildfires --- MaxENT --- risk modeling --- GIS --- multi-scale analysis --- Yakutia --- Artic --- Siberia --- phenology modelling --- forest disturbance --- forest monitoring --- bark beetle infestation --- forest management --- time series analysis --- satellite imagery --- landsat time series --- growing stock volume --- forest inventory --- harmonic regression --- n/a --- beech-fir forests

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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.

Research & information: general --- forest road inventory --- total station --- global navigation satellite system --- point cloud --- precision density --- positional accuracy --- efficiency --- mangrove sustainability --- deforestation depletion --- anthropogenic --- natural water balance --- Southeast Asia --- Phoracantha spp. --- unmanned aerial vehicle (UAV) --- multispectral imagery --- vegetation index --- thresholding analysis --- Large Scale Mean-Shift Segmentation (LSMS) --- Random Forest (RF) --- forest mask --- validation --- probability sampling --- remote sensing --- earth observations --- forestry --- accuracy assessment --- forest classification --- forested catchment --- hydrological modeling --- SWAT model --- DEM --- airborne laser scanning --- deep learning --- Landsat --- national forest inventory --- stand volume --- bark beetle --- Ips typographus L. --- pest --- change detection --- forest damage --- spruce --- Sentinel-2 --- damage mapping --- multi-temporal regression --- mangrove --- replanting --- restoration --- analytic hierarchy process --- UAV --- DJI drone --- machine learning --- forest canopy --- canopy gaps --- canopy openings percentage --- satellite indices --- Elastic Net --- beech-fir forests --- pixel-based supervised classification --- random forest --- support vector machine --- gray level cooccurrence matrix (GLCM) --- principal component analysis (PCA) --- WorldView-3 --- wildfires --- MaxENT --- risk modeling --- GIS --- multi-scale analysis --- Yakutia --- Artic --- Siberia --- phenology modelling --- forest disturbance --- forest monitoring --- bark beetle infestation --- forest management --- time series analysis --- satellite imagery --- landsat time series --- growing stock volume --- forest inventory --- harmonic regression

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Forests are the richest and most complex ecosystems in the world. Due to the abundance of species and their intricate relationships, huge problems are faced when investigating and analyzing them, despite the fact that increasingly sophisticated research tools are currently available. This is also true in the case of the largest group of animals in the world, i.e., insects inhabiting the forest environment. We are currently living in times of dramatic environmental changes triggered by human activity. The effects of climate change are evident and lead to changes in forests. Growing numbers of insect species are being threatened, and it is our responsibility to protect them. This Special Issue of our journal aims to provide a platform for scientific discussions on an array of research problems, such as geographic or historic diversity of forest insects, their variability, habitat preferences, as well as their monitoring or use as bioindicators of environmental changes. We are convinced that this Special Issue will not only be a source of inspiration for further research but will also contribute to reaching a reasonable compromise between the necessary protection of forests and the need for economic benefits. It is our belief that entomological studies will be of considerable value in these efforts.

Research & information: general --- Biology, life sciences --- Forestry & related industries --- pine --- Pinus --- invasion track --- new distribution --- alien --- trap --- Anisandrus dispar --- Cyclorhipidion bodoanum --- deadwood --- invasive species --- Xyleborus saxesenii --- Xyleborinus attenuatus --- Xylosandrus germanus --- Scolytinae --- Quercus --- associational susceptibility --- forest protection --- phenological synchrony --- Operophtera brumata --- Agriopis leucophaearia --- bud burst --- herbivory --- xylophagous beetles --- distribution --- Bursaphelenchus xylophilus --- biodiversity --- Pinus sylvestris --- Coleoptera --- Ips typographus --- Thanasimus spp. --- bark beetles --- Norway spruce --- mass trapping --- attractants --- release rate --- trap type --- integrated pest management --- Collembola --- Arachnida --- Insecta --- ecology of arthropods --- zoogeography --- ambrosia beetle --- bark beetle --- MaxEnt --- insect pest --- alien species --- niche modelling --- biological invasions --- Lymantria dispar asiatica --- Asian spongy moth (ASM) --- female flight ability --- flight mill --- female age --- female flight duration --- female flight distance --- anthropogenic disturbances --- environmental monitoring --- forest reserve --- long-term research --- natural succession --- oak-hornbeam forests --- stability of mite communities --- Uropodina --- n/a