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Air pollution is a worldwide environmental hazard that poses serious consequences not only for human health and the climate but also for agriculture, ecosystems, and cultural heritage, among other factors. According to the WHO, there are 8 million premature deaths every year as a result of exposure to ambient air pollution. In addition, more than 90% of the world’s population live in areas where the air quality is poor, exceeding the recommended limits. On the other hand, air pollution and the climate co-influence one another through complex physicochemical interactions in the atmosphere that alter the Earth’s energy balance and have implications for climate change and the air quality. It is important to measure specific atmospheric parameters and pollutant compound concentrations, monitor their variations, and analyze different scenarios with the aim of assessing the air pollution levels and developing early warning and forecast systems as a means of improving the air quality and safeguarding public health. Such measures can also form part of efforts to achieve a reduction in the number of air pollution casualties and mitigate climate change phenomena. This book contains contributions focusing on remote sensing techniques for evaluating air quality, including the use of in situ data, modeling approaches, and the synthesis of different instrumentations and techniques. The papers published in this book highlight the importance and relevance of air quality studies and the potential of remote sensing, particularly that conducted from Earth observation platforms, to shed light on this topic.

Research & information: general --- Meteorology & climatology --- tropospheric NO2 concentrations --- nitrogen dioxide --- OMI --- spatio-temporal trends --- DBEST --- PolyTrend --- time-series analysis --- breakpoint detection --- air pollution --- TROPOMI --- COVID --- nitrogen oxides --- satellite-based --- NO2 --- land use regression --- exposure assessment --- carbon monoxide --- COVID-19 --- China --- surface concentration --- IASI --- drone --- UAV --- gas sensors --- odour --- industrial emissions --- mapping --- environmental monitoring --- aerosol optical depth --- CAMS --- machine learning --- MODIS --- urban form --- PM2.5 --- landscape metrics --- geographically weighted regression --- Yunnan Plateau --- biomass burning --- cross-border transport --- WRF-Chem --- formaldehyde --- trend --- satellite --- monitor --- annual --- seasonal --- temperature --- meteorology --- AOD --- Europe --- open data --- n/a

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This book focuses attention on significant novel approaches developed to monitor land surface by exploiting satellite data in the infrared and visible ranges. Unlike in situ measurements, satellite data provide global coverage and higher temporal resolution, with very accurate retrievals of land parameters. This is fundamental in the study of climate change and global warming. The authors offer an overview of different methodologies to retrieve land surface parameters— evapotranspiration, emissivity contrast and water deficit indices, land subsidence, leaf area index, vegetation height, and crop coefficient—all of which play a significant role in the study of land cover, land use, monitoring of vegetation and soil water stress, as well as early warning and detection of forest fires and drought.

Research & information: general --- Environmental economics --- Sentinel-2 --- spectral bands --- LAI --- vegetation indices --- Sentinel-1 --- SAR --- RVI --- incidence angle --- crop coefficient --- leaf area index --- urban heat island --- UHI regional impacts --- non-urban areas --- remote sensing --- thermal band --- UHI intensity --- remote sensing/GIS --- spatial dynamics --- landscape metrics --- urban–rural gradient --- urbanization --- automatic monitoring --- time series --- change detection --- urban planning --- hyperspectral --- cacti --- drone --- climate change --- drought --- water deficit index --- infrared observations --- satellite --- surface temperature --- air temperature --- humidity --- dew point temperature --- land subsidence --- DInSAR --- differential interferograms stacking --- floods --- coastal plain of Tabasco --- crop residue --- fusion --- machine learning algorithm --- reflective and radar bands --- land-cover change --- REDD+ --- Google Earth Engine --- random forest --- landsat --- Togo --- emissivity --- evapotranspiration --- heterogeneity --- Rao’s Q index --- spectral variation hypothesis --- thermal infrared

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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