Satellite-Derived Land Surface Temperature Dynamics in the Context of Global Change-A Review

Satellite-derived Land Surface Temperature (LST) dynamics have been increasingly used to study various geophysical processes. This review provides an extensive overview of the applications of LST in the context of global change. By filtering a selection of relevant keywords, a total of 164 articles from 14 international journals published during the last two decades were analyzed based on study location, research topic, applied sensor, spatio-temporal resolution and scale and employed analysis methods. It was revealed that China and the USA were the most studied countries and those that had the most first author affiliations. The most prominent research topic was the Surface Urban Heat Island (SUHI), while the research topics related to climate change were underrepresented. MODIS was by far the most used sensor system, followed by Landsat. A relatively small number of studies analyzed LST dynamics on a global or continental scale. The extensive use of MODIS highly determined the study periods: A majority of the studies started around the year 2000 and thus had a study period shorter than 25 years. The following suggestions were made to increase the utilization of LST time series in climate research: The prolongation of the time series by, e.g., using AVHRR LST, the better representation of LST under clouds, the comparison of LST to traditional climate change measures, such as air temperature and reanalysis variables, and the extension of the validation to heterogenous sites.

Automated summary

Satellite-derived Land Surface Temperature (LST) dynamics have been widely used for studying various geophysical processes in the context of global change. This review analyzes 164 articles from 14 international journals published in the last two decades, focusing on study location, research topic, used sensor system, and analysis methods. The results show that China and the USA are the most studied countries, and the Surface Urban Heat Island (SUHI) is the most prominent research topic. MODIS is the most commonly used sensor, while few studies analyze LST dynamics on a global or continental scale. Suggestions are made to improve the utilization of LST time series in climate research.