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The Comparison of ARIMA and Neural Network methods for Modeling and Monitoring of Drought Using Remote Sensing Time Series Data (Case Study: City of Arak)

Mohammad Mahdi Khoshgoftar; Mehdi Akhoondzadeh Hanzaei; Iman Khosravi

Volume 28, Issue 109 , June 2019, , Pages 185-197

https://doi.org/10.22131/sepehr.2019.35646

Abstract
  Introduction Drought is a critical climate condition affecting many places on Earth. Drought severity is often measured using a combination of different variables including rainfall, temperature, humidity, wind, soil moisture, and steam flow. During the last decades, Iran has suffered from drought conditions ...  Read More