Prioritizing sub-watersheds for soil erosion using geospatial techniques based on morphometric and hypsometric analysis: a case study of the Indian Wyra River basin

PR Shekar, A Mathew, HG Abdo, H Almohamad… - Applied Water …, 2023 - Springer
The hydrological availability and scarcity of water can be affected by geomorphological
processes occurring within a watershed. Hence, it is crucial to perform a quantitative …

[HTML][HTML] Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility mapping in Similipal Tiger Reserve, India

C Singha, KC Swain, A Moghimi, F Foroughnia… - Forest Ecology and …, 2024 - Elsevier
Accurately assessing forest fire susceptibility (FFS) in the Similipal Tiger Reserve (STR) is
essential for biodiversity conservation, climate change mitigation, and community safety …

Efficiency evaluation of low impact development practices on urban flood risk

SA Ayoublu, M Vafakhah, HR Pourghasemi - Journal of Environmental …, 2024 - Elsevier
Urban flood risk assessment delivers invaluable information regarding flood management
as well as preventing the associated risks in urban areas. The present study prepares a …

Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous …

HG Abdo, H Almohamad, AA Al Dughairi, SA Ali… - Geoscience Letters, 2022 - Springer
Landslide vulnerability prediction maps are among the most important tools for managing
natural hazards associated with slope stability in river basins that affect ecosystems …

Flood risk and shelter suitability mapping using geospatial technique for sustainable urban flood management: a case study in Palembang city, South Sumatera …

M Rendana, W Mohd Razi Idris… - Geology, Ecology …, 2023 - Taylor & Francis
The populous city of Palembang is one of the most flood-prone cities in the Indonesian
region. After some decades, the magnitude, duration, and frequency of floods have …

[HTML][HTML] Hybridizing genetic random forest and self-attention based CNN-LSTM algorithms for landslide susceptibility mapping in Darjiling and Kurseong, India

A Moghimi, C Singha, M Fathi, S Pirasteh… - Quaternary Science …, 2024 - Elsevier
Landslides are a prevalent natural hazard in West Bengal, India, particularly in Darjeeling
and Kurseong, resulting in substantial socio-economic and physical consequences. This …

Sub-basins prioritization based on morphometric analysis and geographic information systems: a case study of the Barada river basin, Damascus countryside …

HG Abdo, H Almohamad, AA Al Dughairi… - Proceedings of the …, 2023 - Springer
Sub-basins prioritization is considered an essential procedure in ecosystem management
and planning on watershed scales. Integrating morphometric parameters and remote …

Flood susceptibility mapping using Sentinel 1 and frequency ratio technique in Jinjiram River watershed, India

N Lahiri, JM Nongkynrih - Environmental Monitoring and Assessment, 2024 - Springer
Assam is one of the most flood-prone states in India, and the state frequently experiences
catastrophic floods that cause significant damage in terms of loss of life and property. Flood …

Integrating machine learning and geospatial data analysis for comprehensive flood hazard assessment

C Singha, VK Rana, QB Pham, DC Nguyen… - … Science and Pollution …, 2024 - Springer
Flooding is a major natural hazard worldwide, causing catastrophic damage to communities
and infrastructure. Due to climate change exacerbating extreme weather events robust flood …

Enhancing flood prediction in Southern West Bengal, India using ensemble machine learning models optimized with symbiotic organisms search algorithm

G Hinge, S Sirsant, A Kumar, R Gupta… - … Research and Risk …, 2024 - Springer
In regions with limited flow and catchment data needed for the configuration and calibration
of hydraulic and hydrological models, employing spatial flood modeling and mapping …