Abstract

We quantified the spatio-temporal patterns of land cover/land use (LCLU) change to document and evaluate the daytime surface urban heat island (SUHI) for five hot subtropical desert cities (Beer Sheva, Israel; Hotan, China; Jodhpur, India; Kharga, Egypt; and Las Vegas, NV, USA). Sequential Landsat images were acquired and classified into the USGS 24-category Land Use Categories using object-based image analysis with an overall accuracy of 80% to 95.5%. We estimated the land surface temperature (LST) of all available Landsat data from June to August for years 1990, 2000, and 2010 and computed the urban-rural difference in the average LST and Normalized Difference Vegetation Index (NDVI) for each city. Leveraging non-parametric statistical analysis, we also investigated the impacts of city size and population on the urban-rural difference in the summer daytime LST and NDVI. Urban expansion is observed for all five cities, but the urbanization pattern varies widely from city to city. A negative SUHI effect or an oasis effect exists for all the cities across all three years, and the amplitude of the oasis effect tends to increase as the urban-rural NDVI difference increases. A strong oasis effect is observed for Hotan and Kharga with evidently larger NDVI difference than the other cities. Larger cities tend to have a weaker cooling effect while a negative association is identified between NDVI difference and population. Understanding the daytime oasis effect of desert cities is vital for sustainable urban planning and the design of adaptive management, providing valuable guidelines to foster smart desert cities in an era of climate variability, uncertainty, and change.

Highlights

  • Urbanization is one of the most evident aspects of human modification of natural landscapes and climate

  • This study investigates the spatiotemporal patterns of the surface urban heat island (SUHI) across hot desert cities in five countries and examines the impacts of urban growth on the SUHI

  • We quantified spatio-temporal patterns of LCLU to provide a fundamental understanding of the trajectories of urbanization and their social, physical, and ecological implications

Read more

Summary

Introduction

Urbanization is one of the most evident aspects of human modification of natural landscapes and climate. The urban heat island (UHI) phenomenon, where urban areas experience higher temperature than their rural surroundings, is the best example of anthropogenic climate modifications caused by urbanization [1]. Increased impervious surface fractions in cities, including buildings and infrastructure, are the main causes of the UHI effect, which impacts energy use, water consumption, air quality, and human health [2]. In contrast to air temperature data recorded at weather stations, land surface temperature (LST). Data from remote sensing imagery permits calculation of a surface urban heat island (SUHI) and is a better characterization of a city’s land cover impacts on temperature on a per-pixel basis across scales [15]. The SUHI intensity tends to vary widely from season to season and from region to region

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call