Comparative retrieval approaches for concentrated Suspended Particulate Matter (CSPM) detection in the Ganges using Sentinel-2 and Cloud Computing

被引:0
作者
Kumar, K. C. Arun [1 ]
Bandopadhyay, Subhajit [2 ]
Garai, Ujjwal [3 ]
Das, Mridul [4 ]
Das, Rahul Deb [5 ]
机构
[1] L&T Smart World, Hyderabad, India
[2] Univ Southampton, Dept Geog & Environm Sci, Southampton, Hants, England
[3] Cognizant Technol Solut, Hyderabad, India
[4] Serampore Coll, Dept Geog, Serampore, India
[5] IBM Germany, Frankfurt, Germany
来源
2023 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE FOR GEOANALYTICS AND REMOTE SENSING, MIGARS | 2023年
关键词
Suspended Particulate Matter; Sentinel-2; Cloud Computing; COVID-19; Ganges;
D O I
10.1109/MIGARS57353.2023.10064535
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In this paper, there are four distinct models utilized for the retrieval of C-SPM from the Sentinel 2A/2B satellite imageries by using cloud computing techniques. In this study, a comparative analysis of different C-SPM models was carried out at three different sites (Haridwar, Varanasi, and Hooghly). The study reveals that there are significant changes in C-SPM in the Ganges in three different periods such as pre, during, and post-COVID. Noteworthy, fewer anthropogenic activities have generated important transformations in aquatic environments during the COVID.
引用
收藏
页码:92 / 95
页数:4
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