Urban Land Use Classification and Functional Zone Mapping
Summary
Urban land use classification and functional zone mapping encompass the systematic delineation and characterisation of spatial units within cities according to their predominant uses and activities. This field integrates geospatial technologies, including satellite remote sensing, geographic information systems (GIS) and big data sources, to generate detailed land use maps and identify distinct functional zones such as residential, commercial, industrial or ecological areas. Through parcel-based analysis, landscape metrics and clustering algorithms, researchers can capture the heterogeneity of urban form and function at multiple scales. Advances in machine learning, data fusion and human sensing—such as mobile phone positioning—have further enhanced the accuracy and temporal resolution of classifications, enabling dynamic monitoring of urban evolution. These methods inform urban planning, resource allocation and sustainability assessments, and facilitate comparative studies across diverse global contexts.
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Urban Land Use Classification and Functional Zone Mapping publication trend
The graph below shows the total number of articles in urban land use classification and functional zone mapping across all publications each year (not limited to Nature Index journals).
Technical terms
Land use classification: The process of categorising spatial parcels according to their predominant human or environmental function.
Functional zone: A delineated urban area characterised by a dominant set of activities or services (for example, residential, commercial or industrial).
Point of interest (POI): A geolocated feature in a map database representing a specific establishment or facility used as an indicator of local land use.
Remote sensing imagery: Data captured by satellite or aerial sensors that measure electromagnetic radiation to infer land cover and land use characteristics.
Human sensing data: Information derived from human-generated signals—such as mobile phone positioning or social media usage—used to infer patterns of activity and movement.
References
- Mapping Urban Land Use by Using Landsat Images and Open Social Data. Remote Sensing (2016).
- Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone. Sustainability (2019).
- Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data. Remote Sensing (2018).
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