Geo-Information Technology and Its Applications

doi:10.3390/books978-3-0365-5996-4

dc.contributor.editor	Wu, Weicheng
dc.contributor.editor	Liu, Yalan
dc.contributor.editor	Hu, Mingxing
dc.date.accessioned	2023-01-05T12:32:28Z
dc.date.available	2023-01-05T12:32:28Z
dc.date.issued	2022
dc.identifier	ONIX_20230105_9783036559957_11
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/95782
dc.description.abstract	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.
dc.language	English
dc.subject.classification	thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general	en_US
dc.subject.other	street view
dc.subject.other	remote sensing
dc.subject.other	urban environmental elements
dc.subject.other	ensemble learning
dc.subject.other	green view
dc.subject.other	sky view
dc.subject.other	building view
dc.subject.other	SHAP
dc.subject.other	convolutional neural network
dc.subject.other	water body extraction
dc.subject.other	GaoFen-1
dc.subject.other	multiple scales
dc.subject.other	deep learning
dc.subject.other	Line Simplification
dc.subject.other	Douglas-Peucker Algorithm
dc.subject.other	Monotonic Chain
dc.subject.other	Dichotomy
dc.subject.other	vegetation
dc.subject.other	partial correlation analysis
dc.subject.other	trend prediction
dc.subject.other	the source region of the Yellow River
dc.subject.other	revetment
dc.subject.other	damage signature
dc.subject.other	dense point clouds
dc.subject.other	unmanned aerial vehicle (UAV)
dc.subject.other	gradient operator
dc.subject.other	OpenStreetMap (OSM)
dc.subject.other	road network density
dc.subject.other	urban economy
dc.subject.other	regression analysis
dc.subject.other	spatial metric
dc.subject.other	pre-hospital emergency
dc.subject.other	spatiotemporal demand
dc.subject.other	GPS data
dc.subject.other	seasonal clustering
dc.subject.other	short-term forecast
dc.subject.other	tourism flow forecast
dc.subject.other	optimization algorithm
dc.subject.other	Random Forest
dc.subject.other	landslide hazard risk
dc.subject.other	integrated multisource dataset
dc.subject.other	field sample rasterization
dc.subject.other	weight assignment
dc.subject.other	urban forest
dc.subject.other	forest biomass
dc.subject.other	biomass distribution
dc.subject.other	geographic detector
dc.subject.other	poverty probability
dc.subject.other	random forest
dc.subject.other	nighttime lights
dc.subject.other	spatiotemporal characteristics
dc.subject.other	geographic information systems
dc.subject.other	land cover
dc.subject.other	land dynamics
dc.subject.other	regional studies
dc.subject.other	sustainable planning
dc.subject.other	ultra-peripheral territories
dc.subject.other	fire station
dc.subject.other	fire risk evaluation
dc.subject.other	parcel-pickup lockers
dc.subject.other	site-suitability analysis
dc.subject.other	GIS-based
dc.subject.other	bivariate logistic regression model
dc.subject.other	suitability classification
dc.subject.other	n/a
dc.title	Geo-Information Technology and Its Applications
dc.type	book
oapen.identifier.doi	10.3390/books978-3-0365-5996-4
oapen.relation.isPublishedBy	46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn	9783036559957
oapen.relation.isbn	9783036559964
oapen.pages	314
oapen.place.publication	Basel

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