Perceiving Fifth Facade Colors in China’s Coastal Cities from a Remote Sensing Perspective: A New Understanding of Urban Image
Urban color represents the visual skin of a city, embodying regional culture, historical memory, and the contemporary spirit. However, while the existing studies focus on pedestrian-level facade colors, the “fifth facade” from a bird’s-eye view has been largely overlooked. Moreover, color distortions in traditional remote sensing imagery hinder precise analysis. This study targeted 56 Chinese coastal cities, decoding the spatiotemporal patterns of their fifth facade color (FFC). Through developing an innovative natural color optimization algorithm, the oversaturation and color bias of Sentinel-2 imageries were addressed. Several color indicators, including dominant colors, hue–saturation–value, color richness, and color harmony, were developed to analyze the spatial variations of FFC. Results revealed that FFC in Chinese coastal cities is dominated by gray, black, and brown, reflecting the commonality of cement jungles. Among them, northern warm grays exude solidity, as in Weifang, while southern cool grays convey modern elegance, as in Shenzhen. Blue PVC rooftops (e.g., Tianjin) and red-brick villages (e.g., Quanzhou) serve as symbols of industrial function and cultural heritage. Economically advanced cities (e.g., Shanghai) lead in color richness, linking vitality to visual diversity, while high-harmony cities (e.g., Lianyungang) foster livability through coordinated colors. The study also warns of color pollution risks. Cities like Qingdao exposed planning imbalances through color clashes. This research pioneers a systematic and large-scale decoding of urban fifth facade color from a remote sensing perspective, quantitatively revealing the dilemma of “identical cities” in modernization development. The findings inject color rationality into urban planning and create readable and warm city images.
Authors
- Ji Yang (ORCID: https://orcid.org/0000-0003-4092-2264)
- Richen Ye (ORCID: https://orcid.org/0000-0001-9639-1066)
- Sijing Shu
- Qiquan Yang (ORCID: https://orcid.org/0000-0003-1152-5999)
- Wenlong Jing (ORCID: https://orcid.org/0000-0001-8021-3943)
- Zhiwei Hou (ORCID: https://orcid.org/0000-0003-2170-3250)
- Yue Liu (ORCID: https://orcid.org/0000-0002-6663-5426)
- Jia Sun (ORCID: https://orcid.org/0000-0003-3483-5324)
- Xiaoling Yin
- Hongda Hu (ORCID: https://orcid.org/0000-0003-1498-9588)
Institutions
- Tongji University (CN)
- Guangdong Academy of Sciences (CN)
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN)
- Guangzhou Urban Planning Survey & Design Institute (CN)
- Guangzhou Institute of Geography (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-06-17
- DOI
- https://doi.org/10.3390/rs17122075
- Citations
- 1
- Primary Topic
- Remote Sensing and Land Use
- Type
- article
- Field-Weighted Citation Impact
- 1.30
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- National Key Research and Development Program of China
- Science and Technology Planning Project of Guangdong Province
- Basic and Applied Basic Research Foundation of Guangdong Province