Remote sensing methods for flood prediction: A review

HS Munawar, AWA Hammad, ST Waller - Sensors, 2022 - mdpi.com
Floods are a major cause of loss of lives, destruction of infrastructure, and massive damage
to a country's economy. Floods, being natural disasters, cannot be prevented completely; …

The current state of early warning system in South Asia: a case study of Afghanistan

MA Morshed, H Mushwani, K Sahak… - International Journal of …, 2024 - Elsevier
This study focused on reviewing flood early warning systems in South Asian countries, using
qualitative methods including review of journal articles, case and comparative studies …

Multi-hazard susceptibility and exposure assessment of the Hindu Kush Himalaya

J Rusk, A Maharjan, P Tiwari, THK Chen… - Science of the total …, 2022 - Elsevier
Mountainous regions are highly hazardous, and these hazards often lead to loss of human
life. The Hindu Kush Himalaya (HKH), like many mountainous regions, is the site of multiple …

Rethinking transformers for semantic segmentation of remote sensing images

Y Liu, Y Zhang, Y Wang, S Mei - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Transformer has been widely applied in image processing tasks as a substitute for
convolutional neural networks (CNNs) for feature extraction due to its superiority in global …

[HTML][HTML] Flood susceptibility map** of Kathmandu metropolitan city using GIS-based multi-criteria decision analysis

D Chaulagain, PR Rimal, SN Ngando, BEK Nsafon… - Ecological …, 2023 - Elsevier
Floods are among the most severe hazards around the world triggered by climate change,
threatening environmental sustainability, economies, and ecological cycles and damaging …

Extracting the location of flooding events in urban systems and analyzing the semantic risk using social sensing data

Y Zhang, Z Chen, X Zheng, N Chen, Y Wang - Journal of Hydrology, 2021 - Elsevier
The aggregation of the same type of socio-economic activities in urban space generates
urban functional zones, each of which has one function as the main (eg, residential …

Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithms

S Janizadeh, D Kim, C Jun, SM Bateni… - Journal of …, 2024 - Elsevier
This study investigated the impact of climate change on flood susceptibility in six South
Asian countries Afghanistan, Bangladesh, Bhutan, Bharat (India), Nepal, and Pakistan …

[HTML][HTML] Evaluating spectral indices for water bodies extraction in western Tibetan Plateau

HW Khalid, RMZ Khalil, MA Qureshi - The Egyptian Journal of Remote …, 2021 - Elsevier
Waterbody extraction in the high-elevated region of the Tibetan Plateau from remote sensing
imagery is an efficient way to investigate and monitor water resources. The intrusion of …

Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches

S Duwal, D Liu, PM Pradhan - Geomatics, Natural Hazards and …, 2023 - Taylor & Francis
Abstract The Karnali River Basin (KRB) comprises the longest river in Nepal, located south
of the Himalayas. Despite its high susceptibility to floods, the basin lacks detailed studies …

Post-disaster building damage assessment based on improved U-Net

L Deng, Y Wang - Scientific reports, 2022 - nature.com
When a severe natural disaster occurs, the extraction of post-disaster building damage
information is one of the methods to quickly obtain disaster information. The increasingly …