Soheila Pouyan
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View article: Correction to: Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination
Correction to: Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination Open
View article: Prediction of Plant Diversity Using Multi-Seasonal Remotely Sensed and Geodiversity Data in a Mountainous Area
Prediction of Plant Diversity Using Multi-Seasonal Remotely Sensed and Geodiversity Data in a Mountainous Area Open
Plant diversity measurement and monitoring are required for reversing biodiversity loss and ensuring sustainable management. Traditional methods have been using in situ measurements to build multivariate models connecting environmental fac…
View article: Environmental multi-hazard assessment and its importance role in land use planning and hazard management
Environmental multi-hazard assessment and its importance role in land use planning and hazard management Open
Protection against natural hazards is vital in land-use planning, especially in high-risk areas. Multi-hazard susceptibility maps can be used by land-use manager to guide urban development, so as to minimize the risk of natural disasters. …
View article: Spatio-temporal monitoring of droughts in Iran using remote-sensing indices
Spatio-temporal monitoring of droughts in Iran using remote-sensing indices Open
This study monitored spatially drought in Iran country using distance measurement indicators. Five drought indicators measured from 2016 to 2020 were used: temperature condition index (TCI), vegetation condition index (VCI), vegetation hea…
View article: Multi-hazards modeling using machine learning algorithms in Southwestern Saudi Arabia
Multi-hazards modeling using machine learning algorithms in Southwestern Saudi Arabia Open
The current study aimed at producing a multi-hazard risk map for Hasher-Fayfa Basin. The Basin is part of Jazan region in the southwestern Saudi Arabia and is distinguished by mountainous terrain. Recently, this area has experienced many e…
View article: COVID-19: An analysis on official reports in Iran and the world along with some comparisons to other hazards
COVID-19: An analysis on official reports in Iran and the world along with some comparisons to other hazards Open
View article: A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran
A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran Open
We used three state-of-the-art machine learning techniques (boosted regression tree, random forest, and support vector machine) to produce a multi-hazard (MHR) map illustrating areas susceptible to flooding, gully erosion, forest fires, an…
View article: Assessing the susceptibility of schools to flood events in Iran
Assessing the susceptibility of schools to flood events in Iran Open
View article: Assessment of the outbreak risk, mapping and infection behavior of COVID-19: Application of the autoregressive integrated-moving average (ARIMA) and polynomial models
Assessment of the outbreak risk, mapping and infection behavior of COVID-19: Application of the autoregressive integrated-moving average (ARIMA) and polynomial models Open
Infectious disease outbreaks pose a significant threat to human health worldwide. The outbreak of pandemic coronavirus disease 2019 (COVID-19) has caused a global health emergency. Thus, identification of regions with high risk for COVID-1…
View article: A machine learning framework for multi-hazards modeling and mapping in a mountainous area
A machine learning framework for multi-hazards modeling and mapping in a mountainous area Open
View article: Spatial modeling, risk mapping, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between February 19 and June 14, 2020)
Spatial modeling, risk mapping, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between February 19 and June 14, 2020) Open
View article: Assessment of the outbreak risk, mapping and infestation behavior of COVID-19: Application of the autoregressive and moving average (ARMA) and polynomial models
Assessment of the outbreak risk, mapping and infestation behavior of COVID-19: Application of the autoregressive and moving average (ARMA) and polynomial models Open
Infectious disease outbreaks pose a significant threat to human health worldwide. The outbreak of pandemic coronavirus disease 2019 (COVID-2019) has caused a global health emergency. Identification of regions with high risk for COVID-19 ou…