Urban Heat Island and Its Regional Impacts Using Remotely Sensed Thermal Data-A Review of Recent Developments and Methodology

被引：42

作者：

Shi, Hua ^{[1
]}

Xian, George ^{[2
]}

Auch, Roger ^{[2
]}

Gallo, Kevin ^{[3
]}

Zhou, Qiang ^{[1
]}

机构：

[1] US Geol Survey, ASRC Fed Data Solut AFDS, Earth Resources Observat & Sci EROS Ctr, Sioux Falls, SD 57198 USA

[2] US Geol Survey, Earth Resources Observat & Sci EROS Ctr, Sioux Falls, SD 57198 USA

[3] NOAA, Ctr Satellite Applicat & Res, NESDIS, College Pk, MD 20740 USA

来源：

LAND | 2021年 / 10卷 / 08期

关键词：

urban heat island; UHI regional impacts; non-urban areas; remote sensing; thermal band; UHI intensity; LAND-SURFACE TEMPERATURE; TIME-SERIES; EMISSIVITY RETRIEVAL; ENERGY BALANCE; ENVIRONMENTAL-QUALITY; STATISTICAL-ANALYSIS; LANDSCAPE STRUCTURE; ECOLOGICAL-SYSTEMS; AIR-TEMPERATURE; SATELLITE DATA;

D O I：

10.3390/land10080867

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Many novel research algorithms have been developed to analyze urban heat island (UHI) and UHI regional impacts (UHIRIP) with remotely sensed thermal data tables. We present a comprehensive review of some important aspects of UHI and UHIRIP studies that use remotely sensed thermal data, including concepts, datasets, methodologies, and applications. We focus on reviewing progress on multi-sensor image selection, preprocessing, computing, gap filling, image fusion, deep learning, and developing new metrics. This literature review shows that new satellite sensors and valuable methods have been developed for calculating land surface temperature (LST) and UHI intensity, and for assessing UHIRIP. Additionally, some of the limitations of using remotely sensed data to analyze the LST, UHI, and UHI intensity are discussed. Finally, we review a variety of applications in UHI and UHIRIP analyses. The assimilation of time-series remotely sensed data with the application of data fusion, gap filling models, and deep learning using the Google Cloud platform and Google Earth Engine platform also has the potential to improve the estimation accuracy of change patterns of UHI and UHIRIP over long time periods.

引用

页数：30