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The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

A remote sensing?GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China

Weng, Q.·2001·International Journal of Remote Sensing

Abstract

The Zhujiang Delta of South China has experienced a rapid urban expansion over the past two decades due to accelerated economic growth. This paper reports an investigation into the application of the integration of remote sensing and geographic information systems (GIS) for detecting urban growth and assessing its impact on surface temperature in the region. Remote sensing techniques were used to carry out land use/cover change detection by using multitemporal Landsat Thematic Mapper data. Urban growth patterns were analysed by using a GIS-based modelling approach. The integration of remote sensing and GIS was further applied to examine the impact of urban growth on surface temperatures. The results revealed a notable and uneven urban growth in the study area. This urban development had raised surface radiant temperature by 13.01 K in the urbanized area. The integration of remote sensing and GIS was found to be effective in monitoring and analysing urban growth patterns, and in evaluating urbanization impact on surface temperature.

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Metadata

Authors
Weng, Q.
Venue
International Journal of Remote Sensing
Published
2001-01
Volume
22
Issue
10
Pages
1999-2014
ISSN
  • 0143-1161 (ISSN-L)
  • 1366-5901
OpenAlex
W2091523418
Cited by
709
References
19
FWCI
13.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A remote sensing?GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. https://app.cochat.ai/papers/10.1080/713860788
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Weng, Q. (2001). A remote sensing?GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. International Journal of Remote Sensing. https://doi.org/10.1080/713860788

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.