30 m global impervious surface area dynamics and urban expansion pattern observed by Landsat satellites: From 1972 to 2019

2021 ◽  
Author(s):  
Xin Huang ◽  
Jiayi Li ◽  
Jie Yang ◽  
Zhen Zhang ◽  
Dongrui Li ◽  
...  
Keyword(s):  
Surface Area ◽  
Urban Expansion ◽  
Impervious Surface ◽  
Impervious Surface Area ◽  
Expansion Pattern

scholarly journals Study on Urban Expansion Using the Spatial and Temporal Dynamic Changes in the Impervious Surface in Nanjing

2019 ◽  
Vol 11 (3) ◽  
pp. 933 ◽  
Author(s):  
Yanping Qian ◽  
Zhen Wu
Keyword(s):  
Surface Area ◽  
Time Series Data ◽  
Urban Expansion ◽  
Impervious Surface ◽  
Development Planning ◽  
Series Data ◽  
Dynamic Changes ◽  
Impervious Surface Area ◽  
Key Factor ◽  
Comprehensive Classification

Impervious surface area is a key factor affecting urbanization and urban environmental quality. It is of great significance to analysis timely and accurately the dynamic changes of impervious surface for urban development planning. In this study, we use a comprehensive method to extract the time series data on the impervious surface area (ISA) from the multi-temporal Landsat remote sensing images with a high overall accuracy of 90%. The processes and mechanisms of urban expansion at different political administration and direction level in the Nanjing metropolitan area are investigated by using the comprehensive classification method consisting of minimum noise fraction, linear spectral mixture analysis, spectral index, and decision tree classifiers. The expansion of Nanjing is examined by using various ISA indexes and concentric regression analyses. Results indicate that the overall classification accuracy of ISA is higher than 90%. The ISA in Nanjing has dramatically increased in the past three decades from 427.36 km2 to 1780.21 km2 and with a high expansion rate of 0.48 from 2000 to 2005. The city sprawls from monocentric to urban core with multiple subcenters in a concentric structure, and the geometric gravity center of construction land moves southward annually. The stages of urbanization in different district levels and the dynamic changes in different direction levels are influenced by the topographic and economic factors.

scholarly journals Assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansion

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11854
Author(s):  
Xiaoliang Ma ◽  
Shuangyun Peng
Keyword(s):  
Spatial Distribution ◽  
Surface Area ◽  
Land Surface ◽  
Green Space ◽  
Urban Expansion ◽  
Remote Sensing Data ◽  
Impervious Surface ◽  
Water Bodies ◽  
Heat Island ◽  
Impervious Surface Area

As an important component of underlying urban surfaces, the distribution pattern and density of the impervious surface area (ISA) play an important role in the generation of surface urban heat island (SUHI) effects. However, the quantitative and localized exploration of the ISA’s influence on SUHIs in the process of urban expansion from the perspective of temporal and spatial changes is still not clear. Based on multisource remote sensing data, the SUHI effect of urban expansion is revealed by using geospatial analysis methods such as profile, difference and regression analysis. The results show the following: (1) urban expansion plays a significant role in aggravating SUHIs. Overall, the ISA and land surface temperature (LST) have obvious consistency in terms of spatial distribution patterns. However, local spatial differentiation is significant. The areas with the highest LST were not concentrated in the downtown area with the highest ISA but were scattered in the cultivated land and exposed surface areas under development in the northern part of the city. (2) In general, the ISA can explain the spatial distribution of LST well, there is an obvious positive correlation between them, and the quadratic polynomial function is the best fitting model between them. (3) The density and spatial allocation of ecological elements, such as green space and water bodies, play an important role in alleviating SUHIs. This study found that the urban center with the highest ISA coverage rate has no significant SUHI due to the reasonable allocation of green space and water bodies. The research results can provide a scientific basis for future urban planning and ecological environment construction.

scholarly journals Influence of Ecological Factors on Estimation of Impervious Surface Area Using Landsat 8 Imagery

2017 ◽  
Vol 9 (7) ◽  
pp. 751 ◽  
Author(s):  
Yuqiu Jia ◽  
Lina Tang ◽  
Lin Wang
Keyword(s):  
Surface Area ◽  
Ecological Factors ◽  
Impervious Surface ◽  
Landsat 8 ◽  
Impervious Surface Area

Impervious Surface Area: Effects

2020 ◽  
pp. 93-99
Author(s):  
Carl L. Zimmerman ◽  
Daniel L. Civco
Keyword(s):  
Surface Area ◽  
Impervious Surface ◽  
Impervious Surface Area ◽  
Area Effects
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