2022 Flood Impact in Pakistan: Remote Sensing Assessment of Agricultural and Urban Damage

Pakistan was hit by the world's deadliest flood in June 2022, causing agriculture and infrastructure damage across the country. Remote sensing technology offers a cost-effective and efficient method for flood impact assessment. This study is aimed to assess the impact of flooding on crops and built-up areas. Landsat 9 imagery, European Space Agency-Land Use/Land Cover (ESA-LULC) and Soil Moisture Active Passive (SMAP) data are used to identify and quantify the extent of flood-affected areas, crop damage, and built-up area destruction. The findings indicate that Sindh, a province in Pakistan, suffered the most. This impact destroyed most Kharif season crops, typically cultivated from March to November. Using the SMAP satellite data, it is assessed that the high amount of soil moisture after flood also caused a significant delay in the cultivation of Rabi crops. The findings of this study provide valuable information for decision-makers and stakeholders involved in flood risk management and disaster response.

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Publication Details

Journal
Proceedings of the AAAI Symposium Series
Published
2024-11-08
DOI
https://doi.org/10.1609/aaaiss.v4i1.31824
Primary Topic
Flood Risk Assessment and Management
Type
article
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article

2022 Flood Impact in Pakistan: Remote Sensing Assessment of Agricultural and Urban Damage

Murtaza Taj, H. N. Abubakar, Usman Nazir, Aziz Arshad et al.
Proceedings of the AAAI Symposium Series
Flood Risk Assessment and Management
article

2022 Flood Impact in Pakistan: Remote Sensing Assessment of Agricultural and Urban Damage

Murtaza Taj, H. N. Abubakar, Usman Nazir, Aziz Arshad, Aqs Younas, Zia Tahseen, Arbaz Khan
article en

Abstract

Pakistan was hit by the world's deadliest flood in June 2022, causing agriculture and infrastructure damage across the country. Remote sensing technology offers a cost-effective and efficient method for flood impact assessment. This study is aimed to assess the impact of flooding on crops and built-up areas. Landsat 9 imagery, European Space Agency-Land Use/Land Cover (ESA-LULC) and Soil Moisture Active Passive (SMAP) data are used to identify and quantify the extent of flood-affected areas, crop damage, and built-up area destruction. The findings indicate that Sindh, a province in Pakistan, suffered the most. This impact destroyed most Kharif season crops, typically cultivated from March to November. Using the SMAP satellite data, it is assessed that the high amount of soil moisture after flood also caused a significant delay in the cultivation of Rabi crops. The findings of this study provide valuable information for decision-makers and stakeholders involved in flood risk management and disaster response.

Proceedings of the AAAI Symposium SeriesVol. 4(1)
Beaconhouse National University (PK), Lahore University of Management Sciences (PK), Caterpillar (Germany) (DE)
Openalex Percentile: Top 82%
Flood Risk Assessment and Management
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2022 Flood Impact in Pakistan: Remote Sensing Assessment of Agricultural and Urban Damage — Murtaza Taj, H. N. Abubakar, et al. · Proceedings of the AAAI Symposium Series (2024) | TGRS Research Map | TGRS