Analyzing the spatio-temporal directions of air pollutants for the initial wave of Covid-19 epidemic over Bangladesh: Application of satellite imageries and Google Earth Engine

Haque, Md. Nazmul; Sharif, Md. Shahriar; Rudra, Rhyme Rubayet; Mahi, Mahdi Mansur; Uddin, Md. Jahir; Ellah, Radwan G. Abd

doi:10.1016/j.rsase.2022.100862

Cited by 2 publications

(3 citation statements)

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“…Bangladesh is one of the most over populated countries in the world facing a lot of problems like climate change [ 10 , [45] , [46] , [47] , [48] , [49] ], deforestation [ 50 , 51 ], unplanned urbanization [ 50 , 52 ], pollution [ 34 , 38 , [53] , [54] , [55] ], manmade and natural disasters [ 15 , 56 ]. Bangladesh's coastline region has a more diversified and dynamic physical landscape than is often recognized.…”

Section: Introductionmentioning

confidence: 99%

Cyclone vulnerability assessment in the coastal districts of Bangladesh

Sarkar,

Rudra,

Santo

2024

Heliyon

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Section: Introductionmentioning

confidence: 99%

Cyclone vulnerability assessment in the coastal districts of Bangladesh

Sarkar,

Rudra,

Santo

2024

Heliyon

View full text Add to dashboard Cite

“…With improvements in the variety and resolution of remote sensing data, various semiautomated and automated methods have been developed, such as Google Earth Engine [26]. GEE is an online computing platform that processes satellite images, spatial data, and geographical data at the petabyte scale [27]. This web-based system provides access to satellite data processing software and algorithms [28].…”

Section: Introductionmentioning

confidence: 99%

“…A primary focus of Sentinel-5 is the study of air quality and composition-climate interactions with the main data products being O 3 , NO 2 , SO 2 , HCHO, CHOCHO, and aerosols. Furthermore, Sentinel-5 will provide daily global coverage for climate, air quality, and ozone/surface applications of CO, CH 4 , and stratospheric O 3 [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40]. Previous studies also mapped and monitored some specific air pollutants, such as O 3 .…”

Section: Introductionmentioning

confidence: 99%

Monitoring Trends of CO, NO2, SO2, and O3 Pollutants Using Time-Series Sentinel-5 Images Based on Google Earth Engine

et al. 2023

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Air pollution (AP) is a significant risk factor for public health, and its impact is becoming increasingly concerning in developing countries where it is causing a growing number of health issues. It is therefore essential to map and monitor AP sources in order to facilitate local action against them. This study aims at assessing the suitability of Sentinel-5 AP products based on Google Earth Engine (GEE) to monitor air pollutants, including CO, NO2, SO2, and O3 in Arak city, Iran from 2018 to 2019. Our process involved feeding satellite images to a cloud-free GEE platform that identified pollutant-affected areas monthly, seasonally, and annually. By coding in the JavaScript language in the GEE, four pollution parameters of Sentinel-5 satellite images were obtained. Following that, images with clouds were filtered by defining cloud filters, and average maps were extracted by defining average filters for both years. The employed model, which solely used Sentinel-5 AP products, was tested and assessed using ground data collected from the Environmental Organization of Central Province. Our findings revealed that annual CO, NO2, SO2, and O3 were estimated with RMSE of 0.13, 2.58, 4.62, and 2.36, respectively, for the year 2018. The annual CO, NO2, SO2, and O3 for the year 2019 were also calculated with RMSE of 0.17, 2.41, 4.31, and 4.6, respectively. The results demonstrated that seasonal AP was estimated with RMSE of 0.09, 5.39, 0.70, and 7.81 for CO, NO2, SO2, and O3, respectively, for the year 2018. Seasonal AP was also estimated with RMSE of 0.12, 4.99, 1.33, and 1.27 for CO, NO2, SO2, and O3, respectively, for the year 2019. The results of this study revealed that Sentinel-5 data combined with automated-based approaches, such as GEE, can perform better than traditional approaches (e.g., pollution measuring stations) for AP mapping and monitoring since they are capable of providing spatially distributed data that is sufficiently accurate.

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Analyzing the spatio-temporal directions of air pollutants for the initial wave of Covid-19 epidemic over Bangladesh: Application of satellite imageries and Google Earth Engine

Cited by 2 publications

References 46 publications

Cyclone vulnerability assessment in the coastal districts of Bangladesh

Cyclone vulnerability assessment in the coastal districts of Bangladesh

Monitoring Trends of CO, NO2, SO2, and O3 Pollutants Using Time-Series Sentinel-5 Images Based on Google Earth Engine

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