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Research on geological and surfacial processes and major disaster effects in the Yellow River Basin
Abstract The Yellow River Basin (YRB) is characterized by active geological and tectonic
processes, rapid geomorphological evolution, and distinct climatic diversity …
processes, rapid geomorphological evolution, and distinct climatic diversity …
Soil science challenges in a new era: a transdisciplinary overview of relevant topics
Transdisciplinary approaches that provide holistic views are essential to properly
understand soil processes and the importance of soil to society and will be crucial in the …
understand soil processes and the importance of soil to society and will be crucial in the …
[HTML][HTML] Landslide susceptibility map** using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
AM Youssef, HR Pourghasemi - Geoscience Frontiers, 2021 - Elsevier
The current study aimed at evaluating the capabilities of seven advanced machine learning
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …
techniques (MLTs), including, Support Vector Machine (SVM), Random Forest (RF) …
[HTML][HTML] Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions
In some studies on landslide susceptibility map** (LSM), landslide boundary and spatial
shape characteristics have been expressed in the form of points or circles in the landslide …
shape characteristics have been expressed in the form of points or circles in the landslide …
[HTML][HTML] Multi-hazard susceptibility map** based on Convolutional Neural Networks
Multi-hazard susceptibility prediction is an important component of disasters risk
management plan. An effective multi-hazard risk mitigation strategy includes assessing …
management plan. An effective multi-hazard risk mitigation strategy includes assessing …
COVID-19 and urban vulnerability in India
The global pandemic has an inherently urban character. The UN-Habitat's publication of a
Response Plan for mollification of the SARS-CoV-2 based externalities in the cities of the …
Response Plan for mollification of the SARS-CoV-2 based externalities in the cities of the …
Threats of climate and land use change on future flood susceptibility
Management of any unstable situation or conditions helps to return it to its natural state. In
recent times, disaster management is required for sustainable management. Researchers …
recent times, disaster management is required for sustainable management. Researchers …
Evaluation of multi-hazard map produced using MaxEnt machine learning technique
Natural hazards are diverse and uneven in time and space, therefore, understanding its
complexity is key to save human lives and conserve natural ecosystems. Reducing the …
complexity is key to save human lives and conserve natural ecosystems. Reducing the …
[HTML][HTML] Spatial modeling, risk map**, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between February 19 and June 14 …
HR Pourghasemi, S Pouyan, B Heidari… - International Journal of …, 2020 - Elsevier
Abstract Objectives Coronavirus disease 2019 (COVID-19) represents a major pandemic
threat that has spread to more than 212 countries with more than 432,902 recorded deaths …
threat that has spread to more than 212 countries with more than 432,902 recorded deaths …
Assessment of forest fire severity and land surface temperature using Google Earth Engine: A case study of Gujarat State, India
Forest fires are a recurring issue in many parts of the world, including India. These fires can
have various causes, including human activities (such as agricultural burning, campfires, or …
have various causes, including human activities (such as agricultural burning, campfires, or …