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Geo-Information Technology and Its Applications
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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.
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Keywords
- biomass distribution
- bivariate logistic regression model
- building view
- convolutional neural network
- damage signature
- deep learning
- dense point clouds
- dichotomy
- Douglas-Peucker Algorithm
- ensemble learning
- field sample rasterization
- fire risk evaluation
- Fire station
- forest biomass
- GaoFen-1
- geographic detector
- Geographic information systems
- GIS-based
- GPS data
- gradient operator
- green view
- integrated multisource dataset
- land cover
- land dynamics
- landslide hazard risk
- Line Simplification
- Monotonic Chain
- multiple scales
- n/a
- nighttime lights
- OpenStreetMap (OSM)
- optimization algorithm
- parcel-pickup lockers
- partial correlation analysis
- poverty probability
- pre-hospital emergency
- random forest
- Reference, information & interdisciplinary subjects
- Regional studies
- Regression analysis
- Remote sensing
- Research & information: general
- revetment
- road network density
- seasonal clustering
- SHAP
- short-term forecast
- site-suitability analysis
- sky view
- spatial metric
- spatiotemporal characteristics
- spatiotemporal demand
- street view
- suitability classification
- sustainable planning
- the source region of the Yellow River
- tourism flow forecast
- trend prediction
- ultra-peripheral territories
- unmanned aerial vehicle (UAV)
- urban economy
- urban environmental elements
- urban forest
- vegetation
- water body extraction
- weight assignment
Links
DOI: 10.3390/books978-3-0365-5996-4Editions