Detection of fine dust and its impact on urban environments through Sentinel ۵ products in Google Earth Engine system (study area: Sistan and Baluchestan province)

Publish Year: 1399
نوع سند: مقاله کنفرانسی
زبان: English
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GISLS04_103

تاریخ نمایه سازی: 23 مرداد 1400

Abstract:

Sistan and Baluchestan region is one of the regions that annually witnesses heavy dust storms in its territory. Based on this necessity, the ultimate goal of the present study is the temporal analysis of dust in Sistan and Baluchestan province for the period ۲۰۱۸ to ۲۰۲۰ using products Sentinel-۵P NRTI AER AI: Near Real-Time UV Aerosol Index in the Google Earth Engine system. First, in the Google Earth engine system, the process of identifying the amount of dust on urban areas was shown using five statistical parameters (Mean, Median, Min, Max, Sum). Meanwhile, the statistical parameter (sum) showed that theamount of dust is more prevalent in the northeastern, southwestern and southern parts of cities, which showed a figure of ۷۴۱%.

Authors

Vahid Isazade

Master student of Remote Sensing and Geographic Information System (GIS), University of Tehran, Tehran, Iran

Zahra Alibeigy

Master student of housing and urban regeneration, University of Tehran, Tehran, Iran

Esmail Isazade

Master student of housing and urban regeneration, University of Kharzmi, Tehran, Iran