Ali Ahmadalipour

发表

Remote Sensing of Water Use Efficiency and Terrestrial Drought Recovery across the Contiguous United States

Behzad Ahmadi, Hamid Moradkhani, Ali Ahmadalipour, 2019, Remote. Sens..

From Flash Flood Vulnerability and Risk Assessment to Property Damage Prediction: the Value of Machine Learning

Peyman Abbaszadeh, Hamid Moradkhani, Ali Ahmadalipour, 2020 .

An efficient feature based EEG signal analysis for automatic classification of normal sleep and sleep deprivation

Mahdad Esmaeili, Ali Fakhari, Ali Ahmadalipour, 2019 .

Evaluating and improving the forecast skill of NMME dataset over the CONUS; introducing an effective post-processing approach

Hamid Moradkhani, Ali Ahmadalipour, Sepideh Khajehei, 2016 .

A data-driven analysis of flash flood hazard, fatalities, and damages over the CONUS during 1996–2017

Hamid Moradkhani, Ali Ahmadalipour, H. Moradkhani, 2019, Journal of Hydrology.

Leveraging machine learning for predicting flash flood damage in the Southeast US

Peyman Abbaszadeh, Hamid Moradkhani, Ali Ahmadalipour, 2020, Environmental Research Letters.

Mapping surface temperature in a hyper-saline lake and investigating the effect of temperature distribution on the lake evaporation

Ali Ahmadalipour, M. Tajrishy, A. Ahmadalipour, 2013 .

Monitoring Urmia Lake Area Variations Using MODIS Satellite Data

Ahmad Abrishamchi, Ali Ahmadalipour, M. Shafiee Jood, 2012 .

Future drought risk in Africa: Integrating vulnerability, climate change, and population growth.

Andrea Castelletti, Hamid Moradkhani, Ali Ahmadalipour, 2019, The Science of the total environment.

Multi-dimensional assessment of drought vulnerability in Africa: 1960-2100.

Hamid Moradkhani, Ali Ahmadalipour, H. Moradkhani, 2018, The Science of the total environment.

Remote Sensing of Drought: Vegetation, Soil Moisture, and Data Assimilation

Hongxiang Yan, Hamid Moradkhani, Ali Ahmadalipour, 2017 .