Fonte et al., 2019 - Google Patents
Using OpenStreetMap (OSM) to enhance the classification of local climate zones in the framework of WUDAPTFonte et al., 2019
View PDF- Document ID
- 5852033238252846891
- Author
- Fonte C
- Lopes P
- See L
- Bechtel B
- Publication year
- Publication venue
- Urban Climate
External Links
Snippet
Abstract The World Urban Database and Access Portal Tools (WUDAPT) project has adopted the Local Climate Zone (LCZ) scheme as a basic and consistent description of form and function of cities at neighbourhood scale. LCZs are classified using crowdsourced …
- 230000002708 enhancing 0 title abstract description 7
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30241—Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Fonte et al. | Using OpenStreetMap (OSM) to enhance the classification of local climate zones in the framework of WUDAPT | |
Bechtel et al. | Generating WUDAPT Level 0 data–Current status of production and evaluation | |
Masson et al. | City-descriptive input data for urban climate models: Model requirements, data sources and challenges | |
Cilek et al. | Analyses of land surface temperature (LST) variability among local climate zones (LCZs) comparing Landsat-8 and ENVI-met model data | |
Zheng et al. | GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong | |
Ching et al. | Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling | |
Cai et al. | Investigating the relationship between local climate zone and land surface temperature using an improved WUDAPT methodology–A case study of Yangtze River Delta, China | |
Acosta et al. | How to bring UHI to the urban planning table? A data-driven modeling approach | |
Zhao et al. | Application of airborne remote sensing data on mapping local climate zones: Cases of three metropolitan areas of Texas, US | |
Lake et al. | Using GIS and large-scale digital data to implement hedonic pricing studies | |
Gill et al. | Characterising the urban environment of UK cities and towns: A template for landscape planning | |
Ballestores Jr et al. | An integrated parcel-based land use change model using cellular automata and decision tree | |
Yeboah et al. | Assessing the land use and land cover changes due to urban growth in Accra, Ghana | |
Bechtel et al. | Towards consistent mapping of urban structure-global human settlement layer and local climate zones | |
Lopes et al. | Using OpenStreetMap data to assist in the creation of LCZ maps | |
Khoshnoodmotlagh et al. | Urban morphology detection and it's linking with land surface temperature: A case study for Tehran Metropolis, Iran | |
Cai et al. | Investigating the relationship between Local Climate Zone and land surface temperature | |
Anurogo et al. | A Spatial Approach to Identify Slum Areas in East Wara Sub-Districts, South Sulawesi | |
Chen et al. | The urban morphology classification under local climate zone scheme based on the improved method-A case study of Changsha, China | |
Thien et al. | Land use/land cover changes in the period of 2015–2020 in AngYai Village, Sikhottabong District, Vientiane Capital, Lao PDR | |
Du et al. | How Does the 2D/3D Urban Morphology Affect the Urban Heat Island across Urban Functional Zones? A Case Study of Beijing, China | |
Samsonov et al. | Towards computation of urban local climate zones (LCZ) from openstreetmap data | |
Rosli et al. | Sustainable urban forestry potential based quantitative and qualitative measurement using geospatial technique | |
Raza et al. | SPATIOTEMPORAL MONITORING OF URBAN SPRAWL AND ITS IMPACT ASSESSMENT IN DISTRICT SHEIKHUPURA THROUGH REMOTE SENSING AND GIS USING SATELLITE IMAGES FROM 1976-2014. | |
Rahdari et al. | Monitoring sand drift potential and sand dune mobility over the last three decades (Khartouran Erg, Sabzevar, NE Iran). Sustainability, 2021, 13, 9050 |