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Geo-Information Technology and Its Applications
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- 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
- bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general
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Last time updated on 12/02/2023
This paper was published in Directory of Open Access Books (DOAB).
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