Volume 32 (2023)
Volume 31 (2022)
Volume 30 (2021)
Volume 29 (2020)
Volume 28 (2019)
Volume 27 (2018)
Volume 26 (2017)
Volume 25 (2016)
Volume 24 (2015)
Volume 23 (2014)
Volume 22 (2013)
Volume 21 (2012)
Volume 20 (2011)
Volume 19 (2010)
Volume 18 (2009)
Volume 17 (2008)
Volume 16 (2007)
Volume 15 (2006)
Volume 14 (2005)
Volume 13 (2004)
Volume 12 (2003)
Volume 11 (2002)
Volume 10 (2001)
Volume 9 (2000)
Volume 8 (1999)
Volume 7 (1998)
Volume 6 (1997)
Volume 5 (1996)
Volume 4 (1995)
Volume 3 (1994)
Volume 2 (1992-1993)
Volume 1 (1990-1992)
Investigating urban expansion and its impact on urban temperature using multi-temporal analysis of optical remote sensing images, Case study: Shahr-ekord City

Ramin Mokhtari Dehkordi; Reza Shahhoseini

Volume 28, Issue 112 , March 2020, , Pages 55-73

https://doi.org/10.22131/sepehr.2020.38607

Abstract
  Extended Abstract Introduction Nowadays, studying urban expansion is very importantin developing countries. Rapid growth of cities has devastating environmental impacts,and irreparable economic and social consequences. Moreover, studying urban expansion is of great importance for managers and planners ...  Read More

Dust storm detection in the Southwest of Iran using NDDI and BTD indexes and neural network

Marziyeh Deiravi pour; Hossein mohammadasgari; saeid Farhadi; Iman Najafi

Volume 28, Issue 111 , December 2019, , Pages 217-234

https://doi.org/10.22131/sepehr.2019.37521

Abstract
  Extended Abstract Introduction One of the important features of desert areas (arid and semi-arid) is dust phenomena that occurs in most days of the year. Dust phenomena occur especially in tropical areas. In some parts of the world, including Africa, Australia and the Middle East, the annual sediment ...  Read More

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

Enhancing the accuracy of positioning process in Wi-Fi network based on pattern recognition in indoor area

Mohsen Ahmadkhani; Mohammad Reza Malek

Volume 26, Issue 101 , June 2017, , Pages 109-117

https://doi.org/10.22131/sepehr.2017.25730

Abstract
  Extended Abstract Despite of widespread usage of Global Positioning System (GPS), this system is considered inefficient for indoor areas. Although the most prominent positioning system is Global Positioning System, this system uses some electromagnetic waves which are unable to pass thick obstacles ...  Read More