علمی - پژوهشی
Comprehensive assessment of standard genetic optimization algorithm, modified genetic optimization algorithm and modified particle swarm optimization algorithm for optimization of terrain-dependent rational function models

Behrooz Moradi; mohammad javad valadan zoej; mojtaba jannati; somayeh yavari

Volume 11, Issue 1 , May 2019, Pages 1-18

https://doi.org/10.52547/gisj.11.1.1

Abstract
  In the absence of satellite ephemeris data and inner geometry of satellite’s sensor, utilization of Rational Function Models (RFMs) is one of the best approaches to georeferencing satellite images and extracting spatial information from them. However, since RFMs have high number of coefficients, ...  Read More

علمی - پژوهشی
A Decision Support System for Water Allocation in Water Scarce Basins

Sogol Moradian; Mohammad Taleai; Ghasem Javadi

Volume 11, Issue 1 , May 2019, Pages 19-32

https://doi.org/10.52547/gisj.11.1.19

Abstract
  Nowadays, water supply is one of the main causes of tension for scientists in arid countries. Therefore, the assessment of water resources can be considered as a main challenge for the authorities around the world. Successful dicision making in water resources management tries to resolve competing and ...  Read More

علمی - پژوهشی
Investigation of the saturation effect of vegetation indices in LAI estimation of crops

Maedeh Behifar; Mohsen Azadbakht; Farzaneh Hadadi; AliAkbar Matkan

Volume 11, Issue 1 , May 2019, Pages 33-48

https://doi.org/10.52547/gisj.11.1.33

Abstract
  Vegetation indices are used to estimate vegetation parameters from satellite images. Despite their capabilities, performance of some vegetation indices decreases in high vegetation densities, making them inappropriate for estimation of the desired parameters. Vegetation indices are saturated in alfalfa ...  Read More

علمی - پژوهشی
Target detection from high-resolution remote sensing images using deep learning methods

nima farhadi; Abas Kiani; Hamid Ebadi

Volume 11, Issue 1 , May 2019, Pages 48-64

https://doi.org/10.52547/gisj.11.1.48

Abstract
  Object detection is one of the fundamental issues in image interpretation process, especially from remote-sensing imagery. One of the most effective and efficient methods in this field is the use of deep learning algorithm for feature extraction and interpretation. An object is a collection of unique ...  Read More

علمی - پژوهشی
Objective Measurement of Environmental Factors Influencing the Citizens’ Physical Activity, by Employing Geographic Information System, Case Study: Sanandaj city

Nassim Hoorijani; Farzin charehjoo

Volume 11, Issue 1 , May 2019, Pages 65-92

https://doi.org/10.52547/gisj.11.1.65

Abstract
   Physical activity is one of the most important aspects of life that has many environmental, economic, social and health benefits. According to the importance of the public space of cities in the occurrence of these activities, the issue of developing built environments as a framework that can promote ...  Read More

علمی - پژوهشی
Monitoring the Urban heat islands with a Fractal Net Evolution (FNEA) Approach (Case Study: Tehran Metropolis)

Mahmood Ahmadi; Abasali Dadashiroudbari; Neda Esfandiari

Volume 11, Issue 1 , May 2019, Pages 93-112

https://doi.org/10.52547/gisj.11.1.93

Abstract
  Urban heat islands is the result of urban Climate and one of the important environmental challenges in the 21st century. The aim of this research is to evaluate the combined effects of biophysical components and Land surface temperature with a special Fractal Net Evolution (FNEA) in order to extract ...  Read More

علمی - پژوهشی
Evaluation of IRS-P6 Images for Orchards Area Estimating

Bijan Younesi; Naser Ahmadi Sani; Soran Sharafi

Volume 11, Issue 1 , May 2019, Pages 113-126

https://doi.org/10.52547/gisj.11.1.113

Abstract
  Agriculture is the basis for development and identification of crops and orchards is an important parameter in agricultural management helping planners through providing precise crop/orchard mapping. In order to overcome the limitations of fieldwork in crop and orchard mapping, satellite images seem ...  Read More