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Monitoring the tropical cyclone ‘Yass’ and ‘Amphan’ affected flood inundation using Sentinel‑1/2 data and Google Earth Engine

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The tropical cyclone is infuenced the natural environmental conditions, biodiversity, mangrove forest degradation; salinity increased, and flood inundation at the global landscape and frequently in the coastal regions. Flood inundation is increase due to global sea-level rise and shoreline shifting. In India, several tropical cyclones are infuenced by the natural environ- ment, like Fani, Bulbul, Amphan, and Yass. This study is to identify the flood inundation and land use land cover (LULC) affected area due to tropical cyclone Amphan and Yass. Cloud computing-based Google Earth Engine (GEE) platform was used for the development of flood inundation area calculation in affected Indian coast. Random forest algorithm was used for the LULC classifcation and Sentinel-1 Synthetic Aperture Rader (SAR) of pre and post-cyclone was used for mapping and monitoring the cyclonic effect. The tropical cyclone Amphan and Yass have infuenced the agricultural land and mangrove forest areas, like Sundarban and Bhitarkanika, and massive economic losses. Saltwater intrusion in the coastal area has been increased the salinity and frequently those types of cyclonic activities are triggering the coastal vulnerability. Total 11,405.21 sq. km of West Bengal and 10,437.58 sq. km Odisha coastal regions are inundated due to Yass and 22,735.29 sq. km areas are flooded due to Amphan cyclone. Mostly agricultural lands are affected because most of the areas are covered by agricultural land. This study results could be useful for the post-cyclone emergency response, coastal planners, and administrators for sustainable development of people life.
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Vol.:(0123456789)
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Modeling Earth Systems and Environment (2022) 8:4317–4332
https://doi.org/10.1007/s40808-022-01359-w
ORIGINAL ARTICLE
Monitoring thetropical cyclone ‘Yass’ andAmphan’ affected flood
inundation using Sentinel‑1/2 data andGoogle Earth Engine
BijayHalder1 · JatisankarBandyopadhyay1
Received: 9 October 2021 / Accepted: 31 January 2022 / Published online: 5 March 2022
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022
Abstract
The tropical cyclone is influenced the natural environmental conditions, biodiversity, mangrove forest degradation; salinity
increased, and flood inundation at the global landscape and frequently in the coastal regions. Flood inundation is increase
due to global sea-level rise and shoreline shifting. In India, several tropical cyclones are influenced by the natural environ-
ment, like Fani, Bulbul, Amphan, and Yass. This study is to identify the flood inundation and land use land cover (LULC)
affected area due to tropical cyclone Amphan and Yass. Cloud computing-based Google Earth Engine (GEE) platform was
used for the development of flood inundation area calculation in affected Indian coast. Random forest algorithm was used for
the LULC classification and Sentinel-1 Synthetic Aperture Rader (SAR) of pre and post-cyclone was used for mapping and
monitoring the cyclonic effect. The tropical cyclone Amphan and Yass have influenced the agricultural land and mangrove
forest areas, like Sundarban and Bhitarkanika, and massive economic losses. Saltwater intrusion in the coastal area has been
increased the salinity and frequently those types of cyclonic activities are triggering the coastal vulnerability. Total 11,405.21
sq. km of West Bengal and 10,437.58 sq. km Odisha coastal regions are inundated due to Yass and 22,735.29 sq. km areas are
flooded due to Amphan cyclone. Mostly agricultural lands are affected because most of the areas are covered by agricultural
land. This study results could be useful for the post-cyclone emergency response, coastal planners, and administrators for
sustainable development of people life.
Keywords Flood inundation· Tropical cyclone· Cloud computing· Land transformation· RGB clustering
Introduction
Cyclonic activities are increased in the tropical region in
some last decades. Due to climate change, sea-level rise and
temperature variation flood inundation is a common phe-
nomenon in the coastal regions (Sadat-Noori etal. 2021).
Saltwater intrusion, soil fertility decreased, reducing agri-
cultural productivities, life losses, and massive economic
disasters are notified during and after the cyclone. Many
coastal and near-coastal countries are affected by cyclonic
storms, flood inundation, deforestation, and soil salinity
increased (Guzman and Jiang 2021). Temperature variation
and massive development of water, tidal effect, and activi-
ties are increased in the near-shore areas. Also, the global
sea-level rise is prompting cyclone-related activities in the
coastal regions. A tropical cyclone is occurring due to cli-
mate change conditions and water pressure in the sea area.
The cyclonic storm, flood inundation, and massive vegeta-
tion losses are noticed in the tropical regions (Xu and Zhao
2021; Nadimpalli etal. 2021). Indirectly anthropogenic
activities are also triggering the cyclonic scenarios in the
coastal regions.
The cyclonic activities are increased the coastal geo-
morphological change, shoreline shifting, mangrove deg-
radation, ecological imbalance and saltwater intrusion.
Monitoring the disaster-related information and natural
environmental degradation is an important part of coastal
development and planning (Carreño Conde and De Mata
Muñoz 2019; Kwak 2017; Rahman and Thakur 2018). The
flooded area monitoring and identifying the natural haz-
ards related phenomenon are more time consuming and
difficult for identifying the flood inundated area. Satellite
imageries, ground truth data, and skilled persons are need
for this study (Rahman and Thakur 2018). The mangrove
area is more valuable land cover for human life but that
* Bijay Halder
halder06bijay@gmail.com
1 Department ofRemote Sensing andGIS, Vidyasagar
University, Midnapore, India
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