Impervious Surface Expansion: A Key Indicator for Environment and Urban Agglomeration—A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area by Using Landsat Data

Joint Authors

Liu, Fan
Zhao, Yaolong
Muhammad, Rizwan
Liu, Xiaoding
Chen, Mingqiang

Source

Journal of Sensors

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-21, 21 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-07-09

Country of Publication

Egypt

No. of Pages

21

Main Subjects

Civil Engineering

Abstract EN

Impervious surface (IS) is a key indicator to measure the urbanization process and ecological environment.

Many studies have observed an urbanization process based on IS at the city scale.

Understanding the changes in the IS over a period at a regional level offers an alternative and effective approach to characterize and quantify the spatial process of urban agglomeration.

This study focuses on the urban agglomeration of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) by utilizing the sensor-based Landsat data during 1987-2017 and investigates the spatiotemporal distribution of IS expansion at both regional and city scales.

The modified linear spectral mixture analysis (MLSMA) method is used to extract the IS of the GBA.

Then, the IS mapping accuracies were assessed after comparison with high-resolution historical data.

The spatiotemporal and directional changes of IS surfaces for GBA are analyzed by using Gravity Center (GC) and Standard Deviational Ellipse (SDE).

Finally, Shannon’s Diversity Index (SHDI) is used to analyze the overall characteristics of landscape level, and the Patch Density (PD) and Landscape Shape Index (LSI) are used to describe the characteristics of different classes of the IS.

The results show that the IS of the whole region experienced rapid and massive expansion during the past 30 years and exhibited a distinct characteristic along the Pearl River Delta (PRD) and the coastline.

Furthermore, the IS area increased rapidly in the PRD, while it is relatively stable in Hong Kong and Macao.

We believe that the findings of this study can help policy makers to better understand and maintain the sustainable development of the GBA.

American Psychological Association (APA)

Liu, Fan& Zhao, Yaolong& Muhammad, Rizwan& Liu, Xiaoding& Chen, Mingqiang. 2020. Impervious Surface Expansion: A Key Indicator for Environment and Urban Agglomeration—A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area by Using Landsat Data. Journal of Sensors،Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1190422

Modern Language Association (MLA)

Liu, Fan…[et al.]. Impervious Surface Expansion: A Key Indicator for Environment and Urban Agglomeration—A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area by Using Landsat Data. Journal of Sensors No. 2020 (2020), pp.1-21.
https://search.emarefa.net/detail/BIM-1190422

American Medical Association (AMA)

Liu, Fan& Zhao, Yaolong& Muhammad, Rizwan& Liu, Xiaoding& Chen, Mingqiang. Impervious Surface Expansion: A Key Indicator for Environment and Urban Agglomeration—A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area by Using Landsat Data. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1190422

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1190422