Mapping Urban Functional Zones by Integrating Very High Spatial Resolution Remote Sensing Imagery and Points of Interest:  A Case Study of Xiamen, China

Jinchao Song; Tao Lin; Xinhu Li; Alexander V. Prishchepov

doi:10.3390/rs10111737

Mapping Urban Functional Zones by Integrating Very High Spatial Resolution Remote Sensing Imagery and Points of Interest: A Case Study of Xiamen, China

Jinchao Song, Tao Lin, Xinhu Li, Alexander V. Prishchepov

32 Citations (Scopus)

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Original language	English
Article number	1737
Journal	Remote Sensing
Volume	10
Issue number	11
Number of pages	15
ISSN	2072-4292
DOIs	https://doi.org/10.3390/rs10111737
Publication status	Published - 1 Nov 2018

Keywords

GF-2 remote sensing imagery
POIs
functional zone
land-use classification

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/rs10111737Licence: CC BY

Mapping Urban Functional Zones by Integrating Very High Spatial Resolution Remote Sensing Imagery and Points of InterestFinal published version, 3.27 MBLicence: CC BY

Cite this

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title = "Mapping Urban Functional Zones by Integrating Very High Spatial Resolution Remote Sensing Imagery and Points of Interest: A Case Study of Xiamen, China",

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author = "Jinchao Song and Tao Lin and Xinhu Li and Prishchepov, {Alexander V.}",

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T2 - A Case Study of Xiamen, China

AU - Song, Jinchao

AU - Lin, Tao

AU - Li, Xinhu

AU - Prishchepov, Alexander V.

PY - 2018/11/1

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KW - GF-2 remote sensing imagery

KW - POIs

KW - functional zone

KW - land-use classification

U2 - 10.3390/rs10111737

DO - 10.3390/rs10111737

M3 - Journal article

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Mapping Urban Functional Zones by Integrating Very High Spatial Resolution Remote Sensing Imagery and Points of Interest: A Case Study of Xiamen, China

Keywords

UN SDGs

Access to Document

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