Monitoring long-term annual urban expansion (1986–2017) in the largest archipelago of China

Cao, Wenting; Zhou, Yuyu; Li, Rui; Li, Xuecao; Zhang, Huaguo

doi:10.1016/j.scitotenv.2021.146015

Cited by 26 publications

(22 citation statements)

References 49 publications

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“…An in-depth consideration is to explore the interactions between tidal flats and two other land cover classes [8,9,17]. In this study, a total of six types of pixel-wise land cover conversions could be found by overlapping and comparing the maps of two years (Figure 3), and we only considered four of them which are directly related to tidal flats, including tidal flats to permanent water, tidal flats to lands, permanent water to tidal flats, and lands to tidal flats.…”

Section: Pixel Level Analysismentioning

confidence: 99%

“…While tidal flats have tremendously contributed to the coastal environments and communities, they are under increasing pressure from intensive human activities. For example, tidal flats have become a land source for urban expansions [8,9], and the urban wastes have further deteriorated the environmental crisis of tidal flats [10]. As the counterforce from damaged environment, the natural hazards could risk the safety of coastal communities and consequently the densely populated communities are even more vulnerable [11].…”

Section: Introductionmentioning

confidence: 99%

“…Based on the monthly maps, that study explored the six types of interactions between lands, waterbodies, and tidal flats, and the identified spatiotemporal patterns were summarized and visualized. Again, in Zhoushan, China, a more recent study [9] inspected the urban expansions between 1986 and 2017 and mapped the newly urbanized areas with respect to the land source and the conversion year. The study found that 14 km 2 tidal flats were urbanized during the 31 years, which corresponds to 4% of the total newly urbanized area.…”

Section: Introductionmentioning

confidence: 99%

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The Spatiotemporal Characteristics and Dynamic Changes of Tidal Flats in Florida from 1984 to 2020

Liu

2021

Geographies

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Tidal flats are playing a critical role in the coastal environment, which mainly rely on satellite images to map the distribution on large spatiotemporal scales. Much effort has been made to monitor and analyze the spatiotemporal dynamics of tidal flats in order to provide worthwhile references for scientists and lawmakers. Instead of considering the dynamics of tidal flats only, this study implemented a series of comprehensive analyses on the tidal flats along the coast of Florida during the period 1984–2020. First, the analyses on the pixel level examined the spatiotemporal characteristics of tidal flat dynamics and the interactions with lands and permanent water. Second, the contiguous pixels of tidal flats were assembled as objects, and two geometric attributes were calculated and used to track the temporal patterns of tidal flat dynamics on this level. Finally, the Mann–Kendall test and Sen’s slope estimator were applied to identify and quantify the significant trends of tidal flat dynamics on the two levels. The results highlighted the differences in tidal flat distributions and dynamics between the Gulf Coast and Atlantic Coast, which further verified effective GIS representations and analyses that could be applied to other coastal studies.

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Section: Pixel Level Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Spatiotemporal Characteristics and Dynamic Changes of Tidal Flats in Florida from 1984 to 2020

Liu

2021

Geographies

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“…Also using Landsat data, Shatnawi et al [30] studied the spatiotemporal changes of land use/cover and the expansion of construction land in northern Jordan from 2010 to 2015. Applying the random forest classifier and time-series change detection methods to the Landsat data, Cao et al [31] monitored the urban expansion of China's largest archipelago (Zhoushan Archipelago) from 1986 to 2017.…”

Section: Introductionmentioning

confidence: 99%

Expansion and Evolution of a Typical Resource-Based Mining City in Transition Using the Google Earth Engine: A Case Study of Datong, China

et al. 2021

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China's resource-based cities have made tremendous contributions to national and local economic growth and urban development over the last seven decades. Recently, such cities have been in transition from resource-centered development towards human-oriented urbanization to meet the requirements of long-term sustainability for the natural environment and human society. A good understanding of urban expansion and evolution as a consequence of urbanization has important implications for future urban and regional planning. Using a series of remote sensing (RS) images and geographical information system (GIS)-based spatial analyses, this research explores how a typical resource-based mining city, Datong, has expanded and evolved over the last two decades (2000–2018), with a reflection on the role of urban planning and development policies in driving the spatial transformation of Datong. The RS images were provided and processed by the Google Earth Engine (GEE) platform. Spatial cluster analysis approaches were employed to examine the spatial patterns of urban expansion. The results indicate that the area of urban construction land increased by 132.6% during the study period, mainly along with the Chengqu District, the Mining Area, and in the southeast of the Nanjiao District, where most new towns are located. Reflection on the factors that influence urban expansion shows that terrain, urban planning policies, and social economy are driving Datong’s urban development.

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“…A large number of studies have analyzed the temporal and spatial evolution features and causes of urban expansion [16][17][18][19]. Socio-economic variables, accessibility, and geographic conditions are considered as important factors affecting urban expansion [20][21][22][23][24][25][26]. The relationship between HSR development and the spatial changes of urban land has attracted widespread attention.…”

Section: Introductionmentioning

confidence: 99%

The Heterogeneous Impact of High-Speed Railway on Urban Expansion in China

et al. 2021

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High-speed railway (HSR) promote the efficient flow of the population and materials between cities and have profoundly affected urban economic development in China. However, there is currently limited research about how HSR influences urban expansion, especially related to the variable impacts on different urban agglomerations, different size cities, and the conversion of non-urban land to urban land. In this study, from two levels of regional heterogeneity and type heterogeneity, a multi-stage difference-in-differences (multi-stage DID) model and land use remote sensing data are used to investigate these research areas. The main conclusions are as follows: (1) The first opening of HSR had a more significant role in promoting urban expansion than HSR frequency, but several years after opening, HSR no longer promotes urban expansion. (2) The opening of HSR only played a significant role in promoting urban expansion in Beijing–Tianjin–Hebei. HSR frequency had a significant role in promoting urban expansion in the Yangtze River Delta. (3) The opening of HSR had no significant impact on urban expansion for different size cities, and HSR frequency only had a significant negative impact on urban expansion of small cities. (4) The first opening of HSR led to urban expansion dominated by the occupation of cultivated land. Cities in Xinjiang and Inner Mongolia mainly converted barren land and vegetation cover to urban land after the first opening of HSR. In northeast China, the first opening of HSR made the conversion of vegetation cover and cultivated land to urban land roughly equivalent in size. The results of this study are helpful to understand the impact of the first opening of HSR and the scale of conversion of different types of non-urban land into urban land on urban expansion. In the era of HSR, these findings provide a valuable reference for regional planning and preventing the disorderly expansion of cities.

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Monitoring long-term annual urban expansion (1986–2017) in the largest archipelago of China

Cited by 26 publications

References 49 publications

The Spatiotemporal Characteristics and Dynamic Changes of Tidal Flats in Florida from 1984 to 2020

The Spatiotemporal Characteristics and Dynamic Changes of Tidal Flats in Florida from 1984 to 2020

Expansion and Evolution of a Typical Resource-Based Mining City in Transition Using the Google Earth Engine: A Case Study of Datong, China

The Heterogeneous Impact of High-Speed Railway on Urban Expansion in China

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