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This book focuses on fundamental and applied research on geo-information technology, notably optical and radar remote sensing and algorithm improvements, and their applications in environmental monitoring. This Special Issue presents ten high-quality research papers covering up-to-date research in land cover change and desertification analyses, geo-disaster risk and damage evaluation, mining area restoration assessments, the improvement and development of algorithms, and coastal environmental monitoring and object targeting. The purpose of this Special Issue is to promote exchanges, communications and share the research outcomes of scientists worldwide and to bridge the gap between scientific research and its applications for advancing and improving society.
Research & information: general --- earthquake --- damaged groups of buildings --- classification --- remote sensing images --- Convolution Neural Network (CNN) --- block vector data --- shoreline change --- landsat --- planet scope --- coastline --- morphological changes --- building extraction --- improved anchor-free instance segmentation --- high-resolution remote sensing images --- deep learning --- land use/land cover (LULC) --- GF-6 WFV --- object-oriented --- change detection --- double constraints --- REE mines --- mining and restoration assessment indicators (MRAIs) --- damage --- time trajectory --- effectiveness of management --- aeolian process --- desertification --- multi-sensor fusion --- interferometric SAR --- time-series analysis --- mussel farming --- high-resolution image --- transitional water management --- environmental pollution --- open source software --- synthetic aperture radar (SAR) --- target --- sea surface --- multiple scattering --- geo-hazard mapping --- Gaofen-1 satellite --- land cover --- environmental factors --- susceptibility --- post-classification differencing --- generalized difference vegetation index (GDVI) --- multiple linear regression --- logistic regression --- 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
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