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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Autor*in:	Bijay Halder [verfasserIn] Subhadip Barman [verfasserIn] Papiya Banik [verfasserIn] Puja Das [verfasserIn] Jatisankar Bandyopadhyay [verfasserIn] Fredolin Tangang [verfasserIn] Shamsuddin Shahid [verfasserIn] Chaitanya B. Pande [verfasserIn] Baqer Al-Ramadan [verfasserIn] Zaher Mundher Yaseen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Assam flood inundation vegetation degradation risk assessment Google Earth Engine Sentinel-1 SAR data

Übergeordnetes Werk:	In: Sustainability - MDPI AG, 2009, 15(2023), 14, p 11413
Übergeordnetes Werk:	volume:15 ; year:2023 ; number:14, p 11413

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/su151411413

Katalog-ID:	DOAJ093819641

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allfieldsSound	10.3390/su151411413 doi (DE-627)DOAJ093819641 (DE-599)DOAJaf4fafffbdaf4c9cb427aab248b17e1f DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Bijay Halder verfasserin aut Large-Scale Flood Hazard Monitoring and Impact Assessment on Landscape: Representative Case Study in India 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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<sup<2</sup< of vegetation loss and 33,902.49 km<sup<2</sup< of flood inundation out of a total area of 78,438 km<sup<2</sup<. 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. Assam flood inundation vegetation degradation risk assessment Google Earth Engine Sentinel-1 SAR data Environmental effects of industries and plants Renewable energy sources Environmental sciences Subhadip Barman verfasserin aut Papiya Banik verfasserin aut Puja Das verfasserin aut Jatisankar Bandyopadhyay verfasserin aut Fredolin Tangang verfasserin aut Shamsuddin Shahid verfasserin aut Chaitanya B. Pande verfasserin aut Baqer Al-Ramadan verfasserin aut Zaher Mundher Yaseen verfasserin aut In Sustainability MDPI AG, 2009 15(2023), 14, p 11413 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:15 year:2023 number:14, p 11413 https://doi.org/10.3390/su151411413 kostenfrei https://doaj.org/article/af4fafffbdaf4c9cb427aab248b17e1f kostenfrei https://www.mdpi.com/2071-1050/15/14/11413 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 15 2023 14, p 11413
language	English
source	In Sustainability 15(2023), 14, p 11413 volume:15 year:2023 number:14, p 11413
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title_sort	large-scale flood hazard monitoring and impact assessment on landscape: representative case study in india
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title_auth	Large-Scale Flood Hazard Monitoring and Impact Assessment on Landscape: Representative Case Study in India
abstract	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<sup<2</sup< of vegetation loss and 33,902.49 km<sup<2</sup< of flood inundation out of a total area of 78,438 km<sup<2</sup<. 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.
abstractGer	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<sup<2</sup< of vegetation loss and 33,902.49 km<sup<2</sup< of flood inundation out of a total area of 78,438 km<sup<2</sup<. 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.
abstract_unstemmed	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<sup<2</sup< of vegetation loss and 33,902.49 km<sup<2</sup< of flood inundation out of a total area of 78,438 km<sup<2</sup<. 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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Large-Scale Flood Hazard Monitoring and Impact Assessment on Landscape: Representative Case Study in India

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