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It is increasingly being recognized that land use and land cover changes driven by anthropogenic pressures are impacting terrestrial and aquatic ecosystems and their services, human society, and human livelihoods and well-being. This Special Issue contains 12 original papers covering various issues related to land use and land use changes in various parts of the world (see references), with the purpose of providing a forum to exchange ideas and progress in related areas. Research topics include land use targets, dynamic modelling and mapping using satellite images, pressures from energy production, deforestation, impacts on ecosystem services, aboveground biomass evaluation, and investigations on libraries of legends and classification systems.

Environmental monitoring --- savannah --- multifunctionality --- protected areas --- conservation --- airborne laser scanning --- aboveground woody biomass --- CORINE land cover --- mapping of changes --- GIS tools --- land cover flows --- Low Tatras National Park --- land use and land cover --- ecosystem service value --- Google Earth Engine (GEE) --- forest fragmentation --- transboundary landscape --- Himalaya --- land-cover change --- MSPA --- cluster analysis --- land use management --- synthesis of land use/land cover definitions --- meta-analysis studies in land use/land cover --- challenges and knowledge gaps in land use/land cover assessments --- literature review --- land use change --- modeling --- scenario --- deforestation --- DINAMICA EGO --- PFBC landscapes --- Democratic Republic of the Congo --- tree diversity --- ecosystem resilience --- native tree --- urban environment --- urbanization --- land cover --- land use --- change mapping --- land use pressures --- energy production --- forestry --- caatinga domain --- digital classification --- remote sensing --- land consumption --- land re-naturalization --- developed land recycling --- urban land use efficiency --- interoperability --- standards --- geospatial --- semantic ontology --- harmonization --- classification --- urban growth --- land cover change --- driving forces --- n/a

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Global warming and population growth have resulted in an increase in the intensity of natural and anthropogenic stressors. Investigating the complex nature of environmental problems requires the integration of different environmental processes across major components of the environment, including water, climate, ecology, air, and land. Cumulative effects assessment (CEA) not only includes analyzing and modeling environmental changes, but also supports planning alternatives that promote environmental monitoring and management.Disjointed and narrowly focused environmental management approaches have proved dissatisfactory. The adoption of integrated modelling approaches has sparked interests in the development of frameworks which may be used to investigate the processes of individual environmental component and the ways they interact with each other. Integrated modelling systems and frameworks are often the only way to take into account the important environmental processes and interactions, relevant spatial and temporal scales, and feedback mechanisms of complex systems for CEA.This book examines the ways in which interactions and relationships between environmental components are understood, paying special attention to climate, land, water quantity and quality, and both anthropogenic and natural stressors. It reviews modelling approaches for each component and reviews existing integrated modelling systems for CEA. Finally, it proposes an integrated modelling framework and provides perspectives on future research avenues for cumulative effects assessment.

Environmental impact analysis. --- Cumulative effects assessment (Environmental assessment) --- Hydrology. --- Aquatic sciences --- Earth sciences --- Hydrography --- Water --- Environmental impact analysis --- Assessment of cumulative environmental effects --- Cumulative environmental effects assessment --- Environmental auditing --- Environmental monitoring --- Environmental protection --- Analysis of environmental impact --- Environmental assessment --- Environmental impact assessment --- Environmental impact evaluation --- Impact analysis, Environmental --- Athabasca Region. --- Athabasca River. --- Environmental problems. --- acidification. --- air quality. --- anthropogenetic stressors. --- applied modeling system. --- applied modelling. --- atmospheric deposition. --- climate change. --- cumulative effects assessment. --- environmental analysis. --- environmental impact assessment. --- environmental model. --- environmental modelling framework. --- environmental modelling. --- environmental planning. --- ground water interaction. --- groundwater. --- hydrodynamics. --- hydrology. --- integrated model. --- integrated modelling. --- land use/land cover. --- load allocation. --- natural stressors. --- surface water interaction. --- surface water. --- water allocation. --- water quality. --- watershed.

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This reprint is related to land-use change and non-urban and urban relationships at all spatiotemporal scales and also focuses on land-use planning and regulatory strategies for a sustainable future. Spatiotemporal dynamics, socioeconomic implication, water supply problems and deforestation land degradation (e.g., increase of imperviousness surfaces) produced by urban expansion and their resource requirements are of particular interest. The Guest Editors expect that this reprint will contribute to sustainable development in non-urban and urban areas.

Research & information: general --- Geography --- land use/land cover change --- water recharge --- flooding --- meteorological forecast --- hydrological response --- IWRM --- best management practices --- watershed management --- experimental watershed study design --- municipal watershed --- adaptive management --- functional urban land --- urban space --- urban land use/cover change --- urbanization --- Changchun --- urban hydrology --- impervious surfaces --- land use scenarios --- urban surface growth --- hydrological model --- flood flows --- construction land development intensity --- construction land use benefit --- coupling and coordination relationship --- spatiotemporal evolution --- Lanzhou-Xining urban agglomeration --- land cover --- land use change --- downscaling approach --- Switzerland --- geographic information system --- aerial photo interpretation --- topographic map --- inverse distance weighting --- expert system --- village --- strategy --- development priorities --- land use --- land take --- urban agriculture --- land use planning --- zoning --- GI products --- integrated water resources management --- territory management --- future scenarios --- prospective analysis --- decision support system --- urban growth boundaries (UGBs) --- LULC change simulation --- multi-source big data --- SD model --- PLUS model --- county area --- Xinxing County

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As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

artificial neural network --- n/a --- model switching --- sensitivity analysis --- neural networks --- logit boost --- Qaidam Basin --- land subsidence --- land use/land cover (LULC) --- naïve Bayes --- multilayer perceptron --- convolutional neural networks --- single-class data descriptors --- logistic regression --- feature selection --- mapping --- particulate matter 10 (PM10) --- Bayes net --- gray-level co-occurrence matrix --- multi-scale --- Logistic Model Trees --- classification --- Panax notoginseng --- large scene --- coarse particle --- grayscale aerial image --- Gaofen-2 --- environmental variables --- variable selection --- spatial predictive models --- weights of evidence --- landslide prediction --- random forest --- boosted regression tree --- convolutional network --- Vietnam --- model validation --- colorization --- data mining techniques --- spatial predictions --- SCAI --- unmanned aerial vehicle --- high-resolution --- texture --- spatial sparse recovery --- landslide susceptibility map --- machine learning --- reproducible research --- constrained spatial smoothing --- support vector machine --- random forest regression --- model assessment --- information gain --- ALS point cloud --- bagging ensemble --- one-class classifiers --- leaf area index (LAI) --- landslide susceptibility --- landsat image --- ionospheric delay constraints --- spatial spline regression --- remote sensing image segmentation --- panchromatic --- Sentinel-2 --- remote sensing --- optical remote sensing --- materia medica resource --- GIS --- precise weighting --- change detection --- TRMM --- traffic CO --- crop --- training sample size --- convergence time --- object detection --- gully erosion --- deep learning --- classification-based learning --- transfer learning --- landslide --- traffic CO prediction --- hybrid model --- winter wheat spatial distribution --- logistic --- alternating direction method of multipliers --- hybrid structure convolutional neural networks --- geoherb --- predictive accuracy --- real-time precise point positioning --- spectral bands --- naïve Bayes