###### Abstract  
In the 21 st century, remote sensing (RS) has become increasingly employed in many environmental studies. This paper constitutes an overview of works utilising RS methods in studies on peatlands and investigates publications from the period 2010-2021. Based on fifty-nine case studies from different climatic zones (from subarctic to subtropical), we can indicate an increase in the use of RS methods in peatland research during the last decade, which is likely a result of the greater availability of new remote sensing data sets (Sentinel 1 and 2; Landsat 8; SPOT 6 and 7) paired with the rapid development of open-source software (ESA SNAP; QGIS and SAGA GIS). In the studied works, satellite data analyses typically encompassed the following elements: land classification/identification of peatlands, changes in water conditions in peatlands, monitoring of peatland state, peatland vegetation mapping, Gross Primary Productivity (GPP), and the estimation of carbon resources in peatlands. The most frequently employed research methods, on the other hand, included: vegetation indices, soil moisture indices, water indices, supervised classification and machine learning. Remote sensing data combined with field research is deemed helpful for peatland monitoring and multi-proxy studies, and they may offer new perspectives on research at a regional level.  
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RS data can help create accurate peatland maps and identify regions with the highest risks, priorities and drivers of change. These works can also be used in climate models to assess the sensitivity and response to future climate change [2]. Therefore, peatland research and monitoring should be improved to provide better mapping and rapid assessment tools for supporting protection-oriented endeavours and multi-stakeholder engagement [15]. RS methods are increasingly indicated as useful in the analysis of individual elements of peatlands, e.g., biology and mapping of peatland vegetation [16; 17; 18; 19; 20; 21; 22], peatlands water conditions [23; 24; 25; 26], and greenhouse gas (GHG) emissions [27; 28; 29].  
In our work, we analyse publications illustrating the use of remote sensing methods in the study of peatlands. The analysis performed earlier by [PERSON] [14], whose study encompassed the period 2000-2014, indicated that, after 2010, there was a significant increase in the use of remote sensing methods regarding studies on wetlands. This paper constitutes an overview of studies that incorporated such methods in the analyses of peatlands in the years 2010-2021 (fifty-nine case studies from different climate zones in the World, Table S1). In the review, we aimed to investigate which RS methods were most prevalent in peatland studies and the external factors that may impact their application development. For the purposes of our study, we analysed the articles available in the Web of Science and Scopus databases for the period 2010-2021. All articles used were published in English and related to RS methods and peatland areas. The review focuses predominantly on peatlands and investigates the study aim, applied GIS methods, and the type of data and remote sensing platform used by the authors. As mentioned above, [PERSON] [14] studied the application of RS methods in wetlands research. However, we elected to focus on peatlands due to their importance for carbon storage in the environment.