Large-Scale Flood Hazard Monitoring and Impact Assessment on Landscape: Representative Case Study in India

被引:7
作者
Halder, Bijay [1 ]
Barman, Subhadip [2 ]
Banik, Papiya [3 ]
Das, Puja [4 ]
Bandyopadhyay, Jatisankar [1 ]
Tangang, Fredolin [5 ]
Shahid, Shamsuddin [6 ]
Pande, Chaitanya B. [7 ,8 ,9 ]
Al-Ramadan, Baqer [10 ]
Yaseen, Zaher Mundher [11 ,12 ]
机构
[1] Vidyasagar Univ, Dept Remote Sensing & GIS, Midnapore 721102, India
[2] Vidyasagar Univ, Ctr Environm Studies, Midnapore 721102, India
[3] Univ Calcutta, Dept Geog, Kolkata 700019, India
[4] Cotton Univ, Dept Geog, Gauhati 781001, India
[5] Univ Kebangsaan Malaysia, Fac Sci & Technol, Dept Earth Sci & Environm, Bangi 43600, Selangor, Malaysia
[6] Univ Teknol Malaysia UTM, Fac Civil Engn, Dept Water & Environm Engn, Skudia 81310, Johor, Malaysia
[7] Indian Inst Trop Meteorol, Pune 411008, India
[8] Univ Tenaga Nas, Inst Energy Infrastruct, Kajang 43000, Selangor, Malaysia
[9] Al Ayen Univ, Sci Res Ctr, New Era & Dev Civil Engn Res Grp, Nasiriyah 64001, Iraq
[10] King Fahd Univ Petr & Minerals, Architecture & City Design, Dhahran 31261, Saudi Arabia
[11] King Fahd Univ Petr & Minerals, Civil & Environm Engn Dept, Dhahran 31261, Saudi Arabia
[12] King Fahd Univ Petr & Minerals, Interdisciplinary Res Ctr Membranes & Water Secur, Dhahran 31261, Saudi Arabia
关键词
Assam flood inundation; vegetation degradation; risk assessment; Google Earth Engine; Sentinel-1 SAR data; BRAHMAPUTRA RIVER; ASSAM; BASIN;
D O I
10.3390/su151411413
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Currently, natural hazards are a significant concern as they contribute to increased vulnerability, environmental degradation, and loss of life, among other consequences. Climate change and human activities are key factors that contribute to various natural hazards such as floods, landslides, droughts, and deforestation. Assam state in India experiences annual floods that significantly impact the local environment. In 2022, the flooding affected approximately 1.9 million people and 2930 villages, resulting in the loss of 54 lives. This study utilized the Google Earth Engine (GEE) cloud-computing platform to investigate the extent of flood inundation and deforestation, analyzing pre-flood and post-flood C band Sentinel-1 GRD datasets. Identifying pre- and post-flood areas was conducted using Landsat 8-9 OLI/TIRS datasets and the modified and normalized difference water index (MNDWI). The districts of Cachar, Kokrajhar, Jorhat, Kamrup, and Dhubri were the most affected by floods and deforestation. The 2022 Assam flood encompassed approximately 24,507.27 km(2) of vegetation loss and 33,902.49 km(2) of flood inundation out of a total area of 78,438 km(2). The most affected areas were the riverine regions, the capital city Dispur, Guwahati, southern parts of Assam, and certain eastern regions. Flood hazards exacerbate environmental degradation and deforestation, making satellite-based information crucial for hazard and disaster management solutions. The findings of this research can contribute to raising awareness, planning, and implementing future disaster management strategies to protect both the environment and human life.
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页数:17
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