Dust is a phenomenon occurring in most parts of the world causing financial loss and adverse environmental effects and impacts. Many parameters are involved in dust phenomenon occurrence, some of which are natural and some of them are due to human processes and their influence on the environment. Monitoring the environmental changes can be worthwhile and efficient procrastination the occurrence of this phenomenon. In this research, we scrutinized the Persian and English database in a structured way using dust keywords, heavy metals, remote sensing, geographical information systems and statistical methods. Articles taking into consideration these three fields were retrieved, analyzed descriptively and reported. In accordance with this methodology, the study was conducted in a period from 1992 to 2016. Findings: Among the methods used, the method of interpolation, zoning of dust and their distribution with GIS is more applicable, and among satellite images, MODIS images are the most applicable ones. The results obtained from this study indicated that statistical methods, remote sensing and geographical information system are among effective tools in studying germane researches done on dust monitoring and detection.

灰尘是一种发生在世界大部分地区的现象，会造成经济损失和不利的环境影响和影响。粉尘现象的发生涉及许多参数，其中一些是自然的，一些是由于人类过程及其对环境的影响。监测环境变化可以有价值和高效地拖延这种现象的发生。在这项研究中，我们使用灰尘关键字、重金属、遥感、地理信息系统和统计方法，以结构化的方式仔细审查了波斯语和英语数据库。检索、分析和报告考虑到这三个领域的文章。根据这种方法，该研究是在 1992 年至 2016 年期间进行的。 结果：在所使用的方法中，GIS插值法、分区法及其分布的方法更适用，卫星影像中以MODIS影像最为适用。从这项研究中获得的结果表明，统计方法、遥感和地理信息系统是研究粉尘监测和检测相关研究的有效工具。