Flash flood susceptibility assessment and zonation by integrating analytic hierarchy process and frequency ratio model with diverse spatial data

A Tariq, J Yan, B Ghaffar, S Qin, BG Mousa, A Sharifi… - Water, 2022 - mdpi.com
Flash floods are the most dangerous kinds of floods because they combine the destructive
power of a flood with incredible speed. They occur when heavy rainfall exceeds the ability of …

Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms

M Majeed, L Lu, MM Anwar, A Tariq, S Qin… - Frontiers in …, 2023 - frontiersin.org
The landscape of Pakistan is vulnerable to flood and periodically affected by floods of
different magnitudes. The aim of this study was aimed to assess the flash flood susceptibility …

An effective geospatial-based flash flood susceptibility assessment with hydrogeomorphic responses on groundwater recharge

A Tariq, LH Beni, S Ali, S Adnan… - Groundwater for …, 2023 - Elsevier
Floods are one of the most common natural disasters, resulting in the extensive destruction
of infrastructure, property, and human life. The destructive potential of a flood depends on …

Unravelling the complexities of wetland agriculture, climate change, and coping mechanisms: an integrative review using economics and satellite approaches

MM Islam - Environment, Development and Sustainability, 2024 - Springer
The flash flood-affected wetland region of Bangladesh contributes around 20–25% of the
annual Boro rice production, which is vital for local, regional, and national food security …

Land subsidence analysis using synthetic aperture radar data

R Bokhari, H Shu, A Tariq, N Al-Ansari, R Guluzade… - Heliyon, 2023 - cell.com
Land subsidence is considered a threat to developing cities and is triggered by several
natural (geological and seismic) and human (mining, groundwater withdrawal, oil and gas …

Assessment of land use land cover changes for predicting vulnerable agricultural lands in river basins of Bangladesh using remote sensing and a fuzzy expert system

KF Alam, T Ahamed - Remote Sensing, 2022 - mdpi.com
The aim of this study was to assess the LULC changes over 26 years from 1995 to 2021 to
find the most changed land use conditions within the 25 km territory of the main river …

Climate-adaptive potential crops selection in vulnerable agricultural lands adjacent to the Jamuna River basin of Bangladesh using remote sensing and a fuzzy expert …

KF Alam, T Ahamed - Remote Sensing, 2023 - mdpi.com
Agricultural crop production was affected worldwide due to the variability of weather causing
floods or droughts. In climate change impacts, flood becomes the most devastating in deltaic …

[HTML][HTML] Auditing Flood Vulnerability Geo-Intelligence Workflow for Biases

BK Masinde, CM Gevaert, MH Nagenborg… - … International Journal of …, 2024 - mdpi.com
Geodata, geographical information science (GISc), and GeoAI (geo-intelligence workflows)
play an increasingly important role in predictive disaster risk reduction and management …

Mapping small inland wetlands in the South-Kivu province by integrating optical and SAR data with statistical models for accurate distribution assessment

CB Géant, MN Gustave, S Schmitz - Scientific Reports, 2023 - nature.com
There are several techniques for mapping wetlands. In this study, we examined four
statistical models to assess the potential distribution of wetlands in the South-Kivu province …

Overcoming barriers to adapt rice farming to recurring flash floods in haor wetlands of Bangladesh

SD Baishakhy, MA Islam, M Kamruzzaman - Heliyon, 2023 - cell.com
Climate change resultant hazards have become a major threat to farming, food production
systems and agricultural sustainability globally. Like many other countries, Bangladesh is …