scholarly journals Improving LSMA for impervious surface estimation in an urban area

2022 ◽  
Vol 55 (1) ◽  
pp. 37-51
Author(s):  
Jin Wang ◽  
Yaolong Zhao ◽  
Yingchun Fu ◽  
Lili Xia ◽  
Jinsong Chen
Keyword(s):  
Urban Area ◽  
Impervious Surface ◽  
Surface Estimation

Urban Area Impervious Surface Estimation by Subpixel Unmixing

2019 ◽  
Author(s):  
Bai Xue ◽  
Shuhan Chen ◽  
Chia-Chen Liang ◽  
Shengwei Zhong ◽  
Peter F. Hu ◽  
...  
Keyword(s):  
Urban Area ◽  
Impervious Surface ◽  
Surface Estimation

The Spatiotemporal Evolution of Urban Impervious Surface for Chengdu, China

2021 ◽  
Vol 87 (7) ◽  
pp. 491-502
Author(s):  
Mujie Li ◽  
Zezhong Zheng ◽  
Mingcang Zhu ◽  
Yue He ◽  
Jun Xia ◽  
...  
Keyword(s):  
Neural Networks ◽  
Growth Rate ◽  
Urban Area ◽  
Landsat Imagery ◽  
Impervious Surface ◽  
Kappa Coefficient ◽  
Spatiotemporal Evolution ◽  
Urban Impervious Surface ◽  
The Past ◽  
Secondary Industry

The spatiotemporal evolution of an impervious surface (IS) is significant for urban planning. In this paper, the IS was extracted and its spatiotemporal evolution for the Chengdu urban area was analyzed based on Landsat imagery. Our experimental results indicated that convolutional neural networks achieved the better performance with an overall accuracy of 98.32%, Kappa coefficient of 0.98, and Macro F1 of 98.28%, and the farmland was replaced by IS from 2001 to 2017, and the IS area (ISA) increased by 51.24 km2; that is, the growth rate was up to 13.8% in sixteen years. According to the landscape metrics, the IS expanded and agglomerated into large patches from small fragmented ones. In addition, the gross domestic product change of the secondary industry was similar to the change of ISA between 2001 and 2017. Thus, the spatiotemporal evolution of IS was associated with the economic development of the Chengdu urban area in the past sixteen years.

Synergistic Use of Optical and PolSAR Imagery for Urban Impervious Surface Estimation

2014 ◽  
Vol 80 (1) ◽  
pp. 91-102 ◽  
Author(s):  
Huadong Guo ◽  
Huaining Yang ◽  
Zhongchang Sun ◽  
Xinwu Li ◽  
Cuizhen Wang
Keyword(s):  
Impervious Surface ◽  
Urban Impervious Surface ◽  
Surface Estimation

scholarly journals Evaluating the Dynamic Changes of Urban Land and Its Fractional Covers in Africa from 2000–2020 Using Time Series of Remotely Sensed Images on the Big Data Platform

2021 ◽  
Vol 13 (21) ◽  
pp. 4288
Author(s):  
Zherui Yin ◽  
Wenhui Kuang ◽  
Yuhai Bao ◽  
Yinyin Dou ◽  
Wenfeng Chi ◽  
...  
Keyword(s):  
Time Series ◽  
Surface Area ◽  
Urban Area ◽  
Impervious Surface ◽  
Remotely Sensed ◽  
Urban Land ◽  
Living Environment ◽  
Impervious Surface Area ◽  
Continental Scale ◽  
Remotely Sensed Images

Dramatic urban land expansion and its internal sub-fraction change during 2000–2020 have taken place in Africa; however, the investigation of their spatial heterogeneity and dynamic change monitoring at the continental scale are rarely reported. Taking the whole of Africa as a study area, the synergic approach of normalized settlement density index and random forest was applied to assess urban land and its sub-land fractions (i.e., impervious surface area and vegetation space) in Africa, through time series of remotely sensed images on a cloud computing platform. The generated 30-m resolution urban land/sub-land products displayed good accuracy, with comprehensive accuracy of over 90%. During 2000–2020, the evaluated urban land throughout Africa increased from 1.93 × 104 km2 to 4.18 × 104 km2, with a total expansion rate of 116.49%, and the expanded urban area of the top six countries accounted for more than half of the total increments, meaning that the urban expansion was concentrated in several major countries. A turning green Africa was observed, with a continuously increasing ratio of vegetation space to built-up area and a faster increment of vegetation space than impervious surface area (i.e., 134.43% vs., 108.88%) within urban regions. A better living environment was also found in different urbanized regions, as the newly expanded urban area was characterized by lower impervious surface area fraction and higher vegetation fraction compared with the original urban area. Similarly, the humid/semi-humid regions also displayed a better living environment than arid/semi-arid regions. The relationship between socioeconomic development factors (i.e., gross domestic product and urban population) and impervious surface area was investigated and both passed the significance test (p < 0.05), with a higher fit value in the former than the latter. Overall, urban land and its fractional land cover change in Africa during 2000–2020 promoted the well-being of human settlements, indicating the positive effect on environments.

Seasonal Sensitivity Analysis of Impervious Surface Estimation with Satellite Imagery

2007 ◽  
Vol 73 (12) ◽  
pp. 1393-1401 ◽  
Author(s):  
Changshan Wu ◽  
Fei Yuan
Keyword(s):  
Sensitivity Analysis ◽  
Satellite Imagery ◽  
Impervious Surface ◽  
Surface Estimation

Assessment of Impervious Surface Estimation Techniques

2009 ◽  
Vol 14 (4) ◽  
pp. 377-387 ◽  
Author(s):  
Anna Chabaeva ◽  
Daniel L. Civco ◽  
James D. Hurd
Keyword(s):  
Impervious Surface ◽  
Estimation Techniques ◽  
Surface Estimation
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