Abstract

The rapid urbanization process has recently led to significant land use and land cover (LULC) changes, thereby affecting the climate and the environment. The purpose of this study is to analyze the LULC changes in Hefei City, Anhui Province, and their relationship with land surface temperature (LST). To achieve this goal, multitemporal Landsat data were used to monitor the LULC and LST between 2005 and 2015. The study also used correlation analysis to analyze the relationship between LST, LULC, and other spectral indices (NDVI, NDBI, and NDWI). The results show that the built-up land has expanded significantly, transforming from 488.26 km2 in 2005 to 575.64 km2 in 2015. It further shows that the mean LST in Hefei city has increased from 284.0 K in 2005 to 285.86 K in 2015. The results also indicate that there is a positive correlation between LST and NDVI and NDBI, while there is a negative correlation between LST and NDWI. This means that urban expansion and reduced water bodies will lead to an increase in LST.

Highlights

  • With the development of the economy, the urban population has grown rapidly, which has promoted rapid urbanization

  • It can be seen from the Land use and land cover (LULC) classification and change detection that the urbanization process of Hefei may be an important factor in the transition from the natural surface to the built-up land

  • The multi-temporal Landsat satellite data was used to analyze the spatiotemporal impact of LULC changes on land surface temperature (LST) in Hefei city from 2005 to 2015 in this study

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Summary

Introduction

With the development of the economy, the urban population has grown rapidly, which has promoted rapid urbanization. The most common satellite-derived indicators for estimating the temporal and spatial changes of LST are the normalized difference vegetation index (NDVI), the normalized difference built-up index (NDBI), and the normalized difference water index (NDWI) [7]. Previous studies have analyzed the different relationships between LULC, LST, NDVI, NDBI, and NDWI [7,8,9,10,11,12,13]. These results are mainly attributable to the growth and expansion of cities brought about by urbanization and socioeconomic development, which affect land use and regional climate change

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