Investigation and modeling of physical development of urban areas and its effects on light pollution using night light data

Year 2023, Volume: 8 Issue: 1, 98 - 110, 15.02.2023

Samaneh Bagheri Sadra Karimzadeh Bakhtiar Feizizadeh

https://doi.org/10.26833/ijeg.976495

Cited By: 5

Abstract

The expansion of urbanization and unbalanced urban growth has attracted the attention of many urban planners and decision makers to the issues and consequences of urban population growth. In general, monitoring how urban areas are developed on a large scale is very important in order to plan urban development. However, in most cases, the lack of basic information in this area, especially in developing countries is one of the main obstacles to achieve this. With the development of human civilization and urbanization, the demand for artificial light has increased and this growth will continue. Found. Due to its lack of direct impact on daily life, light pollution has remained largely unknown and has rarely been studied. In this regard, the role of remote sensing techniques and data in identifying changes in the physical development of cities and changes in the amount of light is clearer than other methods. Using VIIRS satellite imagery, other satellite, digital and GIS data can measure and measure the physical growth of cities as well as the spatial and temporal distribution and extent of this type of pollution, and can even manage the risk of this pollution and Reach zoning. High-risk and dangerous areas. In this study, NPP images, travel time layer of Landsat 7 and 8 images have been used, which have been analyzed with the help of remote sensing and GIS techniques. The time frame considered in this study is 2012 to 2020.

Keywords

VIIRS, Light Pollution, Physical Development, GIS

References

• Karimzadeh, S., Miyajima, M., Hassanzadeh, R., Amiraslanzadeh, R., & Kamel, B. (2014). A GIS-based seismic hazard, building vulnerability and human loss assessment for the earthquake scenario in Tabriz. Soil Dynamics and Earthquake Engineering, 66, 263-280.
• Karimzadeh, S., & Matsuoka, M. (2020). Remote Sensing X-Band SAR Data for land subsidence and pavement monitoring. Sensors, 20(17), 4751.
• Karimzadeh, S., & Matsuoka, M. (2021). Development of nationwide road quality map: Remote sensing meets field sensing. Sensors, 21(6), 2251.
• Jaeger, J. A., Bertiller, R., Schwick, C., Cavens, D., & Kienast, F. (2010). Urban permeation of landscapes and sprawl per capita: New measures of urban sprawl. Ecological Indicators, 10(2), 427-441.
• Kasanko, M., Barredo, J. I., Lavalle, C., McCormick, N., Demicheli, L., Sagris, V., & Brezger, A. (2006). Are European cities becoming dispersed?: A comparative analysis of 15 European urban areas. Landscape and urban planning, 77(1-2), 111-130.
• Poelmans, L., & Van Rompaey, A. (2009). Detecting and modelling spatial patterns of urban sprawl in highly fragmented areas: A case study in the Flanders–Brussels region. Landscape and urban planning, 93(1), 10-19.
• Elvidge, C. D., Baugh, K., Zhizhin, M., Hsu, F. C., & Ghosh, T. (2017). VIIRS night-time lights. International Journal of Remote Sensing, 38(21), 5860-5879.
• Luqman, M., Rayner, P. J., & Gurney, K. R. (2019). Combining measurements of built-up area, nighttime light, and travel time distance for detecting changes in urban boundaries: introducing the BUNTUS algorithm. Remote Sensing, 11(24), 2969.
• Fardad, M., Yosefi, M. (2011). Evaluation of light pollution, investigation and zoning of its environmental effects using remote sensing and GIS techniques, The 5th National Conference & Exhibition on Environmental Engineering