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)
Author = Alireza Shakiba
Number of Articles: 5
Effects of Climate Change on Vegetation Phenology of Urmia Lake Basin Using AVHRR Time Series Data
Articles in Press, Accepted Manuscript, Available Online from 17 April 2021
Abstract
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 MoreEmploying the Convolutional LSTM Network in Crop Classification using NDVI Time Series
Volume 14, Issue 1 , June 2022, , Pages 89-106
Abstract
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 MoreDesigning 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
Abstract
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 MoreRunoff Estimation Using Artificial Neural Network Method
Volume 6, Issue 4 , October 2014
Abstract
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 MoreCalculation of Local and Spatial Uncertainty of Precipitation Using Geostatistical SGS and CO-SGS Simulation Algorithms
Volume 6, Issue 3 , October 2014