Volume 15 (2023)
Volume 14 (2022)
Volume 13 (2021)
Volume 12 (2020)
Volume 11 (2019)
Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 4 (2012)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)
Effects of Climate Change on Vegetation Phenology of Urmia Lake Basin Using AVHRR Time Series Data

farzaneh hadadi; Davod Ashourloo; Alireza Shakiba; Aliakbar Matkan

Articles in Press, Accepted Manuscript, Available Online from 17 April 2021


  Climate change is one of the most important challenges facing mankind. This phenomenon has already had significant impacts on agricultural products in most parts of the world, especially arid and semiarid regions. Also, average temperature has risen in many regions in recent decades. Nowadays, in various ...  Read More

Employing the Convolutional LSTM Network in Crop Classification using NDVI Time Series

Mohammad Reza Gili; Davoud Ashourloo; Hossein Aghighi; Ali Akbar Matkan; Alireza Shakiba

Volume 14, Issue 1 , June 2022, , Pages 89-106


  Changes in crop growth at relatively short intervals, asymmetry of cultivation of similar crops, the spectral similarity between different crops at certain times of the growing season, and lack of ground data make classifying crops in satellite imagery a challenging task. Changing the amount of canopy ...  Read More

Designing a Multi-objective Optimization Model of Land Use, based on Genetic Algorithms (Case study: Kerman- Rodbar Watershed)
Volume 7, Issue 1 , December 2015, , Pages 39-57

  With the increase in population and consequent increasing needs of society, land use planning is of particular importance. Land use planningdue to being involved with several conflicting aims, multi- objective evolutionary algorithm would be a useful tool to solve land use planning. But use of these ...  Read More

Runoff Estimation Using Artificial Neural Network Method
Volume 6, Issue 4 , October 2014

  Runoff is one of the major components of calculating water resource processes and is the main issue in hydrology. Many concept models are used to predict the amount of runoff, which in most cases depend on topographical and hydrological data. Conventional models are not appropriate for areas in which ...  Read More

Calculation of Local and Spatial Uncertainty of Precipitation Using Geostatistical SGS and CO-SGS Simulation Algorithms
Volume 6, Issue 3 , October 2014

  Among the usual interpolation methods, kriging and co-kriging are frequently used in the interpolation of precipitation data as one the best linear unbiased estimators, Despite these advantages, there models show smoothness representation and because they are based on regional averages of the data, they ...  Read More