Iranian Journal of Remote Sensing and GIS

Aims & Scope

The Iranian Journal of Remote Sensing and GIS (Iran J Remote Sens GIS), established in 2009, is a double-blind peer-reviewed quarterly journal, owned, managed & published by Shahid Beheshti University.

Iranian Journal of Remote Sensing and GIS aims to expand and promote research, publish scientific research results, increase awareness, scientific development and specialized knowledge in the field of remote sensing and GIS and their applications.

The journal scope includes but are not restricted to, the following areas: From a specialized point of view: • Photogrammetry: o Short Range o Laser Scanning o Toll Extraction o Mathematical Models • Remote Sensing: o Radar o Microwave Disabled o Spectral & Hyperspectral Processing o Thermal • Geographical Information System (GIS): o Information Technology o Artificial Intelligence o Decision Making • Geodesy: o Satellite Geodesy (Geometry and Gravity) o Physical Geodesy and Geodynamics

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.120

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	3

Journal Rank

Year	Value
2024	27311

Journal Citation Indicator

Year	Value
2024	16

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences, Physics and Astronomy and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Polarimetric Feature Comparison of Full and Dual Polarimetric SAR

  Citation: 0

  Authors: Sara, Mehdi

• Study of Spatial and Temporal Characteristics of ETo and Temperature in Khorasan Razavi Province Using CRU TS Dataset and Their Future Projections Based on CMIP5 Climate Models

  Citation: 0

  Authors: Mansoureh, Zahra, Azadeh, Majid

• Investigation of Intensity- Duration- Area of Rainfall and its Impact on Floods Using Radar Images (Case Study of the Flood on May 2014)

  Citation: 0

  Authors: parviz, mohammad, mehdi, mohammad reza

• The combination of attraction model and genetic algorithm to predict stream networks

  Citation: 0

  Authors: M, M

• Study of Hourly Variability of Association between Land Use Parameters and CO-Pollutant Using LUR Model in Tehran

  Citation: 0

  Authors: Amirhossein, Abas

• Evaluation of Anzali Wetland Depth Changes Using Satellite Images and Meteorological Data over Thirty Years

  Citation: 0

  Authors: Saba, S

• The Impact of Urban Growth and Development Trend on Ecological Network Structure with Resilience and Landscape Approach (Case study of Hamedan)

  Citation: 0

  Authors: maryam, Romina, Y

• The Effects of Increasing Carbon Dioxide Concentration on Iran's Total Water Storage Using Remote Sensing

  Citation: 0

  Authors: Samaneh, Samereh, Mohammad Javad

• Extraction of vegetation from Landsat satellite images using rationalized Haar wavelet algorithm

  Citation: 0

  Authors: Kazem, omid

• Speckle reduction in SAR images based on an adaptive filtering in the frequency domain

  Citation: 0

  Authors: Hamid, Mohammad Javad

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