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)
سال انتشار: 1399
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 305
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شناسه ملی سند علمی:
GISLS04_103
تاریخ نمایه سازی: 23 مرداد 1400
چکیده مقاله:
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%.
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نویسندگان
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