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

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

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, drough...

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Main Authors:	Halder B., Barman S., Banik P., Das P., Bandyopadhyay J., Tangang F., Shahid S., Pande C.B., Al-Ramadan B., Yaseen Z.M.
Other Authors:	57217238320
Format:	Article
Published:	Multidisciplinary Digital Publishing Institute (MDPI) 2024
Subjects:	Assam flood inundation Google Earth Engine risk assessment Sentinel-1 SAR data vegetation degradation India capital city disaster management environmental degradation flood flooding natural disaster satellite data
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spelling	my.uniten.dspace-341412024-10-14T11:18:08Z Large-Scale Flood Hazard Monitoring and Impact Assessment on Landscape: Representative Case Study in India Halder B. Barman S. Banik P. Das P. Bandyopadhyay J. Tangang F. Shahid S. Pande C.B. Al-Ramadan B. Yaseen Z.M. 57217238320 24398614200 57217236653 57699668900 57195753796 6602356372 57195934440 57193547008 57190256236 56436206700 Assam flood inundation Google Earth Engine risk assessment Sentinel-1 SAR data vegetation degradation India capital city disaster management environmental degradation flood flooding natural disaster risk assessment satellite data 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 km2 of vegetation loss and 33,902.49 km2 of flood inundation out of a total area of 78,438 km2. 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. � 2023 by the authors. Final 2024-10-14T03:18:07Z 2024-10-14T03:18:07Z 2023 Article 10.3390/su151411413 2-s2.0-85166255138 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166255138&doi=10.3390%2fsu151411413&partnerID=40&md5=3b3f2b6cd9b3ec2249d4bda018a25436 https://irepository.uniten.edu.my/handle/123456789/34141 15 14 11413 All Open Access Gold Open Access Multidisciplinary Digital Publishing Institute (MDPI) Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Assam flood inundation Google Earth Engine risk assessment Sentinel-1 SAR data vegetation degradation India capital city disaster management environmental degradation flood flooding natural disaster risk assessment satellite data
spellingShingle	Assam flood inundation Google Earth Engine risk assessment Sentinel-1 SAR data vegetation degradation India capital city disaster management environmental degradation flood flooding natural disaster risk assessment satellite data Halder B. Barman S. Banik P. Das P. Bandyopadhyay J. Tangang F. Shahid S. Pande C.B. Al-Ramadan B. Yaseen Z.M. Large-Scale Flood Hazard Monitoring and Impact Assessment on Landscape: Representative Case Study in India
description	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 km2 of vegetation loss and 33,902.49 km2 of flood inundation out of a total area of 78,438 km2. 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. � 2023 by the authors.
author2	57217238320
author_facet	57217238320 Halder B. Barman S. Banik P. Das P. Bandyopadhyay J. Tangang F. Shahid S. Pande C.B. Al-Ramadan B. Yaseen Z.M.
format	Article
author	Halder B. Barman S. Banik P. Das P. Bandyopadhyay J. Tangang F. Shahid S. Pande C.B. Al-Ramadan B. Yaseen Z.M.
author_sort	Halder B.
title	Large-Scale Flood Hazard Monitoring and Impact Assessment on Landscape: Representative Case Study in India
title_short	Large-Scale Flood Hazard Monitoring and Impact Assessment on Landscape: Representative Case Study in India
title_full	Large-Scale Flood Hazard Monitoring and Impact Assessment on Landscape: Representative Case Study in India
title_fullStr	Large-Scale Flood Hazard Monitoring and Impact Assessment on Landscape: Representative Case Study in India
title_full_unstemmed	Large-Scale Flood Hazard Monitoring and Impact Assessment on Landscape: Representative Case Study in India
title_sort	large-scale flood hazard monitoring and impact assessment on landscape: representative case study in india
publisher	Multidisciplinary Digital Publishing Institute (MDPI)
publishDate	2024
_version_	1814061167660761088
score	13.222552

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

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