Geo-Information Technology and Its Applications

• Autres auteurs: Wu, Weicheng (Éditeur intellectuel), Liu, Yalan (Éditeur intellectuel), Hu, Mingxing (Éditeur intellectuel)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Sujets: 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
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

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 domain...