Volume 31 (2024)
Volume 30 (2023)
Volume 29 (2022)
Volume 28 (2021)
Volume 27 (2020)
Volume 9 (2019)
Volume 8 (2019)
Volume 26 (2019)
Volume 12 (2019)
Volume 10 (2019)
Volume 25 (2018)
Volume 24 (2017)
Volume 23 (2016)
Volume 22 (2015)
Volume 21 (2014)
Volume 20 (2013)
Volume 19 (2013)
Volume 18 (2011)
Volume 17 (2010)
Volume 16 (2009)
Volume 15 (2008)
Volume 14 (2007)
Volume 13 (2006)
Volume 7 (2000)
Volume 6 (1999)
Volume 11 ()
Comparison of two classification methods of maximum probability and artificial neural network of fuzzy Art map in making Range land cover maps (case study: Range land area of Doviraj area, Dehloran)

Hasan Fathi Zad; Rashid Fallah Shamsi; Ali Mahdavi; Saleh Arekhi

Volume 22, Issue 1 , June 2015, , Pages 59-72

Abstract
  Rangelands are one of the most important renewable resources and because of their extent and economic, social and distinctive environmental impacts are of very special importance. Unfortunately, in our country, like most developing countries, rangelands have been exposed to degradation for various reasons ...  Read More

Analyzing landscape degradation using landscape ecological metrics, remote sensing and GIS (Case study: Doiraj watershed, Ilam province)

Saleh Arekhi; Hasan Fathizad

Volume 21, Issue 3 , December 2014, , Pages 466-481

Abstract
  Rapid land-use/land cover changes have taken place in many arid and semi-arid regions of Iran such as west of Iran over the last decades due to demographic pressure, agricultural pressure, government polices and environmental factors such as drought. This study was aimed to investigate the trends of ...  Read More

Efficiency assessment of the of Support Vector Machines for land use classification using Landsat ETM+ data (Case study: Ilam Dam Catchment)

Saleh Arekhi; Mostafa Adibnejad

Volume 18, Issue 3 , September 2011, , Pages 420-440

Abstract
  Land use classification using remotely sensed images is one of the most common applications in remote sensing, and many algorithms have been developed and applied for this purpose in the literature. This study investigates the efficiency of Support Vector Machines algorithms in image classification. ...  Read More

Assessing different remote sensing techniques to detect land use changes (Case study in Dareshahr, Ilam province)

Saleh Arekhi; yaghoub Niyazi

Volume 17, Issue 1 , September 2010, , Pages 74-93

Abstract
  Presently, unplanned changes of land use have become a major problem. Most land use changes occur without a clear and logical planning with little attention to their environment impacts.Since that landuse change occurring over large areas, remote sensing technology is an essential and useful tool for ...  Read More