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Woody biomass is most widely used for energy production. In the United States, roughly 2% of the energy consumed annually is generated from wood and wood-derived fuels. Woody biomass needs to be preprocessed and pretreated before it is used for energy production. Preprocessing and pretreatments improve the physical, chemical, and rheological properties, making them more suitable for feeding, handling, storage transportation, and conversion. Mechanical preprocessing technologies such as size reduction and densification, help improve particle size distribution and density. Thermal pretreatment can reduce grinding energy and torrefied ground biomass has improved sphericity, particle surface area, and particle size distribution. This book focuses on several specific topics, such as understanding how forest biomass for biofuels impacts greenhouse gas emissions; mechanical preprocessing, such as densification of forest residue biomass, to improve physical properties such as size, shape, and density; the impact of thermal pretreatment temperatures on woody biomass chemical composition, physical properties, and microstructure for thermochemical conversions such as pyrolysis and gasification; the grindability of torrefied pellets; use of wood for gasification and as a filter for tar removal; and understanding the pyrolysis kinetics of biomass using thermogravimetric analyzers.

grindability --- torrefied biomass --- pellet --- energy consumption --- co-firing --- biomass --- gasification --- tar --- syngas cleaning --- dry filter --- pyrolysis --- chemical composition --- micro-structure --- physical properties --- scanning electron microscopy --- wood --- thermal pretreatment --- torrefaction --- timber --- harvest residues --- ethanol --- GHG savings --- Michigan --- variety and rootstock selection --- almond tree --- agricultural practices --- halophytes --- Phoenix dactylifera --- Salicornia bigelovii --- thermogravimetric analysis --- torrefied biomass --- correlation --- ultimate analysis --- solid yield --- heating value --- OLS --- 2-inch top pine residue + switchgrass blends --- pelleting process variables --- pellet quality --- specific energy consumption --- response surface models --- hybrid genetic algorithm --- pelleting --- functional groups --- pellet strength --- combustion efficiency --- forest biomass --- Australia --- biomass energy potential --- emission --- bioenergy

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This book highlights the role of research in innovation and sustainability in the forest sector. The contributions included fall within the broad thematic areas of forest science and cover crucial topics such as biocontrol, forest fire risk, harvesting and logging practices, quantitative and qualitative assessments of forest products, urban forests, and wood treatments—topics that have also been addressed from an interdisciplinary perspective. The contributions also have practical applications, as they deal with the ecological and economic importance of forests and new technologies for the conservation, monitoring, and improvement of services and forest value.

physical activity --- mental health --- landscape metrics --- hierarchical multiple regression --- round wood transport --- wood supply chain --- transport work optimization --- sawlogs deliveries --- sawlogs sourcing --- small-diameter tree --- forest biomass --- multi-tree felling head --- time study --- harvesting cost --- tree plantations --- growth equations --- rotation length --- growth rates --- poplar productivity --- energy chain --- residual biomass --- isochronous rings --- travel time --- transport cost --- UAV --- VOC --- drone sensor --- semiconductor metal oxide gas sensors --- alpha pinene --- log properties --- stack volume --- solid wood content --- roundwood measurement --- wood modification --- mechanical properties --- physical properties --- anti shrinkage efficiency --- colour --- Cameroon --- biomass --- poplar --- SRC --- thermal energy --- life cycle assessment --- GWP --- wood energy supply chain --- Lomatia hirsuta --- Patagonia --- pioneer tree species --- stump shoots --- quality wood --- trunk analysis --- stability of stands --- Capreolus capreolus --- ungulate --- urban forests --- human disturbances --- daily activity --- moon phases --- disturbances --- wildfires --- natural and technogenic ecosystems --- permafrost --- thermal anomaly --- soil --- numerical simulation --- remote sensing --- Siberia --- mean lifetime --- natural forest --- survival analysis --- tree age distribution --- bark structure --- Pinus sylvestris --- forward selection --- bark types --- forest therapy --- urban environment --- sensory gardens --- wellbeing --- social inclusion --- recreational development --- universal design --- urban green areas --- therapeutic space --- deep learning --- tree species --- classification --- Scots pine --- tree-ring --- air pollution --- growth reduction --- climate change --- Poland --- climate change mitigation --- forest restoration --- forest biomass estimation --- standing and lying dead wood --- variogram model --- kriging regression --- Botryosphaeriaceae --- biocontrol --- pine bark extracts --- Trichoderma citrinoviride --- VOCs --- lytic enzymes --- fire ignition --- fire hazard --- QGIS --- InVEST --- NDVI --- S2 NDWI --- risk --- n/a

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Geo-information technology has been playing an ever more important role in environmental monitoring, land resource quantification and mapping, geo-disaster damage and risk assessment, urban planning and smart city development. This book focuses on the fundamental and applied research in these domains, aiming to promote exchanges and communications, share the research outcomes of scientists worldwide and to put these achievements better social use. This Special Issue collects fourteen high-quality research papers and is expected to provide a useful reference and technical support for graduate students, scientists, civil engineers and experts of governments to valorize scientific research.

Research & information: general --- street view --- remote sensing --- urban environmental elements --- ensemble learning --- green view --- sky view --- building view --- SHAP --- convolutional neural network --- water body extraction --- GaoFen-1 --- multiple scales --- deep learning --- Line Simplification --- Douglas-Peucker Algorithm --- Monotonic Chain --- Dichotomy --- vegetation --- partial correlation analysis --- trend prediction --- the source region of the Yellow River --- revetment --- damage signature --- dense point clouds --- unmanned aerial vehicle (UAV) --- gradient operator --- OpenStreetMap (OSM) --- road network density --- urban economy --- regression analysis --- spatial metric --- pre-hospital emergency --- spatiotemporal demand --- GPS data --- seasonal clustering --- short-term forecast --- tourism flow forecast --- optimization algorithm --- Random Forest --- landslide hazard risk --- integrated multisource dataset --- field sample rasterization --- weight assignment --- urban forest --- forest biomass --- biomass distribution --- geographic detector --- poverty probability --- random forest --- nighttime lights --- spatiotemporal characteristics --- geographic information systems --- land cover --- land dynamics --- regional studies --- sustainable planning --- ultra-peripheral territories --- fire station --- fire risk evaluation --- parcel-pickup lockers --- site-suitability analysis --- GIS-based --- bivariate logistic regression model --- suitability classification --- n/a