Celebrating the 100th Anniversary of Sun Yat-Sen University in Urban Planning and Land

A special issue of Land (ISSN 2073-445X).

Deadline for manuscript submissions: 31 December 2024 | Viewed by 3345

Special Issue Editors


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Guest Editor
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Interests: urban climate; climate change; remote sensing and GIS applications
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Guest Editor
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Interests: rural geography; rural everyday life; rural resilience

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Guest Editor
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Interests: hyperspectral remote sensing; geoscience and remote sensing; artificial intelligence/deep learning

Special Issue Information

Dear Colleagues,

Sun Yat-sen University (SYSU) was founded in 1924, so the year 2024 marks the 100th anniversary of its founding. Under the direct supervision of the Ministry of Education of the People’s Republic of China, and strongly supported by both the Ministry and Guangdong Province, Sun Yat-sen University has developed into a modern comprehensive university that enjoys a reputation as a top-tier university nationally and a renowned university internationally. Built on a solid multidisciplinary foundation of humanities, social sciences, natural sciences, medical sciences, and engineering, Sun Yat-sen University is propelled forward by the continuous pursuit of academic innovation. The University is equipped with a globally aware outlook, and has dedicated itself to being an institution that is comprehensive, research-oriented, and open. With five campuses in the three cities of Guangzhou, Zhuhai and Shenzhen, and ten affiliated hospitals, the University is striving to become a world-class university and global center of learning.

Sun Yat-sen University was one of the first universities to establish a geography department in the Science discipline in China. Since its establishment, the research and teaching in the School of Geography and Urban Planning comprises field trips, laboratory analysis, computing modeling and international collaboration. Currently, the School of Geography and Planning offers four majors at the undergraduate level: urban planning (engineering); human geography and urban planning; geographical information science; and physical geography and resource environment. In addition, it offers two first-level academic master’s programs in geography and in regional planning (engineering), one engineering master’s program in the engineering of surveying and mapping, as well as one first-level PhD program in geography. In 2019, human geography and urban planning obtained its first batch of National First-Class Undergraduate Major Construction Points.

To celebrate the 100th anniversary of SYSU, Land is publishing this Special Issue, entitled “Celebrating the 100th Anniversary of Sun Yat-sen University in Urban Planning and Land” . We welcome all scholars within the broad scope of land science to join us in contributing to this Special Issue. Potential topics include, but are not limited to, the following:

Urban planning;
Urban development/urban history;
Land/land use/land cover change;
Landscapes, landscape design and landscape planning;
Territorial planning, conservation and management;
Urban–rural interactions/urban–rural coordinated development;
Geospatial information analysis and modeling in land science;
Land–climate interactions including energy fluxes, carbon neutrality, and health;
Land—observation and monitoring;
Remote sensing/hyperspectral remote sensing;
Landscape ecology and biodiversity.

Dr. Tingting Chen
Dr. Weilin Liao
Dr. Xinhui Wu
Prof. Dr. Zhi He
Guest Editors

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Keywords

  • urban planning
  • land
  • urban–rural interactions
  • landscapes
  • climate change
  • GIS application

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Published Papers (3 papers)

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Research

22 pages, 15779 KiB  
Article
Spatial–Temporal Pattern Evolution and Differentiation Mechanism of Urban Dual Innovation: A Case Study of China’s Three Major Urban Agglomerations
by Qingyi Chen, Yuting Liu and Zuolin Yao
Land 2024, 13(9), 1399; https://doi.org/10.3390/land13091399 - 30 Aug 2024
Viewed by 1477
Abstract
Breakthrough innovation and incremental innovation have different impacts on economic development. For regional development, it is important to find a balance in dual innovation, which entails effective coordination of allocating innovation resources and managing risks. However, little attention has been given to the [...] Read more.
Breakthrough innovation and incremental innovation have different impacts on economic development. For regional development, it is important to find a balance in dual innovation, which entails effective coordination of allocating innovation resources and managing risks. However, little attention has been given to the spatial relationship and differentiation mechanisms between breakthrough innovation and incremental innovation. Therefore, our research takes China’s three major urban agglomerations as examples, aiming to explore the spatial–temporal pattern evolution, influencing factors, spatial relationship, and spatial organizational patterns of breakthrough innovation and incremental innovation from 2000 to 2021. The research found that the spatial distribution of urban dual innovation is affected by the law of distance decay, and the spatial distribution of incremental innovation is more polycentric than that of breakthrough innovation. In terms of the differentiation mechanism, breakthrough innovation is more affected by the innovation atmosphere, while incremental innovation is more likely to be affected by the economic foundation and built environment. Our research effectively supplements the shortcomings in the spatial relationship research of breakthrough innovation and incremental innovation and provides references for formulating innovation policies. Full article
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17 pages, 9822 KiB  
Article
Vegetation Dynamics and Driving Mechanisms Considering Time-Lag and Accumulation Effects: A Case Study of Hubao–Egyu Urban Agglomeration
by Xi Liu, Guoming Du, Xiaodie Zhang, Xing Li, Shining Lv and Yinghao He
Land 2024, 13(9), 1337; https://doi.org/10.3390/land13091337 - 23 Aug 2024
Viewed by 520
Abstract
The Hubao–Egyu Urban Agglomeration (HBEY) was a crucial ecological barrier in northern China. To accurately assess the impact of climate change on vegetation growth, it is essential to consider the effects of time lag and accumulation. In this study, we used a newly [...] Read more.
The Hubao–Egyu Urban Agglomeration (HBEY) was a crucial ecological barrier in northern China. To accurately assess the impact of climate change on vegetation growth, it is essential to consider the effects of time lag and accumulation. In this study, we used a newly proposed kernel Normalized Difference Vegetation Index (kNDVI) as the metric for vegetation condition, and employed partial correlation analysis to ascertain the lag and accumulation period of vegetation response to climate by considering different scenarios (No/Lag/Acc/LagAcc) and various combinations. Moreover, we further modified the traditional residual analysis model. The results are as follows: (1) From 2000 to 2022, the HBEY experienced extensive and persistent greening, with a kNDVI slope of 0.0163/decade. Precipitation was identified as the dominant climatic factor influencing vegetation dynamics. (2) In HBEY, the lag effect of temperature was most distinct, particularly affecting the vegetation in cropland and grassland. The accumulation effect of precipitation was pronounced in grassland. (3) Incorporating lag and accumulation effects into models increases the explanatory power of climate impacts on vegetation dynamics by 6.95% compared to traditional residual models. Our findings hold essential implications for regional ecological regulation and climate change response research. Full article
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19 pages, 12382 KiB  
Article
Mapping the Functional Structure of Urban Agglomerations at the Block Level: A New Spatial Classification That Goes beyond Land Use
by Bin Ai, Zhenlin Lai and Shifa Ma
Land 2024, 13(8), 1148; https://doi.org/10.3390/land13081148 - 26 Jul 2024
Viewed by 445
Abstract
The functional structure of territorial space is an important factor for analyzing the interaction between humans and nature. However, the classification of remote sensing images struggles to distinguish between multiple functions provided by the same land use type. Therefore, we propose a framework [...] Read more.
The functional structure of territorial space is an important factor for analyzing the interaction between humans and nature. However, the classification of remote sensing images struggles to distinguish between multiple functions provided by the same land use type. Therefore, we propose a framework to combine multi-source data for the recognition of dominant functions at the block level. Taking the Guangdong–Hong Kong–Macau Greater Bay Area (GBA) as a case study, its block-level ‘production–living–ecology’ functions were interpreted. The whole GBA was first divided into different blocks and its total, average, and proportional functional intensities were then calculated. Each block was labeled as a functional type considering the attributes of human activity and social information. The results show that the combination of land use/cover data, point of interest identification, and open street maps can efficiently separate the multiple and mixed functions of the same land use types. There is a great difference in the dominant functions of the cities in the GBA, and the spatial heterogeneity of their mixed functions is closely related to the development of their land resources and socio-economy. This provides a new perspective for recognizing the spatial structure of territorial space and can give important data for regulating and optimizing landscape patterns during sustainable development. Full article
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