Iranian Journal of Remote Sensing and GIS

Iranian Journal of Remote Sensing and GIS

Iranian Journal of Remote Sensing and GIS

Journal Archive


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Iranian Journal of Remote Sensing and GIS is a double-blind peer-reviewed quarterly journal, owned & managed by Iran Remote Sensing and GIS Association & published by Shahid Beheshti University since 2009 and is indexed in Scopus now. The journal publishes original articles, reviews, and letters relevant to all fields Remote Sensing and GIS including but not limited to the remote sensing, geographic information system (GIS), photogrammetry, geodesy and their applications in agriculture, forestry, geology, water resources, meteorology and climate, natural resources, urban management & satellite oceanography .

Journal Title

 Iranian Journal of Remote Sensing and GIS

P-ISSN

 2008-5966

E-ISSN

 2588-6185

Frequency

 Quarterly

Editor-in-Chief

 Ali Akbar Matkan, Ph.D.

Language 

 Persian with English abstracts

Plagiarism Checker

 iThenticate, Samimnoor (Persian)

Peer Review Policy

 Double-blind

Article Processing Charges

 See here

Average Review Time

 2 Months

Acceptance Rate

 24%

Owner

 Iran Remote Sensing and GIS Association

Publisher

 Shahid Beheshti University, Iran.
Most Visited Articles
A Review of Recent Researches on Integration of Building Information Modeling (BIM) and GIS
Investigating the Relationship between Drought and Water Quality Reduction Using Remote Sensing and Neural Network Methods
The Evaluation of GPM Precipitation Remote Sensing Data with Observed Data (Case Study: Mid-West of Iran)
Positioning lands prone for cultivating ficus fars province using fuzzy logic and the GIS approach
Developing an Agent-Based Model for Intelligent Control of Traffic Lights and Dynamic Routing
Estimation of Soil Surface Moisture Using ALOSPALSAR-2 Data
Investigating and Modeling the Effect of the Composition and Arrangement of the Landscapes of Yazd City on the Land Surface Temperature Using Machine Learning and Landsat-8 and Sentinel-2 Data
Current Issue: Volume 18, Issue 1 - Serial Number 69, 2026, Pages 1-212 

Change Detection in Residential Areas Construction by Using Photogrammetry Products

10.48308/gisj.2025.236867.1231

Muhammad Amin Bakhshi, Mehrdad Eslami, Ali Sarkargar Ardakani, Ramin Saadi Esfangareh

Keywords Cloud

  • remote sensing
  • GIS
  • MODIS
  • Machine Learning
  • Classification
  • Support vector machine
  • Random forest
  • Land use
  • ASTER
  • Drought
  • Sentinel-2
  • NDVI
  • Deep Learning
  • Google Earth Engine
  • Iran
  • Vegetation index
  • Sentinel-1
  • Artificial Neural Network
  • Land Surface Temperature
  • LST
  • OLI
  • time series
  • LANDSAT 8
  • Leaf Area Index
  • Change detection
  • Flood
  • climate change
  • Tehran
  • Agriculture
  • Genetic algorithm
  • Geographic Information System (GIS)
  • Evapotranspiration
  • Dust storms
  • snow cover
  • Anzali Wetland
  • Hyperspectral images
  • Maximum likelihood
  • MODIS Sensor
  • Air pollution
  • Neural Network
  • hyperspectral
  • Landsat
  • Fuzzy logic
  • Shannon Entropy
  • Water quality
  • spatial equity
  • Zoning
  • Artificial Intelligence
  • Landuse
  • Urmia Lake
  • Satellite Imagery
  • Feature selection
  • Wheat
  • Land use/cover
  • SVM
  • Geographic Information System
  • Satellite images
  • Crop mapping
  • Land cover
  • building detection
  • Agent-Based
  • Alteration
  • Sensitivity Analysis
  • Fuzzy Inference System
  • TOPSIS
  • Radar
  • Spatial modeling
  • Object-oriented Classification
  • Knowledge based system
  • AIRS
  • Trend
  • Sedimentation
  • Site Selection
  • Urban heat islands
  • Satellite Precipitation Products
  • Heat island
  • Clustering
  • Satellite image
  • Dust storm
  • Digital elevation model
  • ANP
  • Spatial resolution
  • high-pass filter
  • Karun Watershed
  • Hyperspectral Imagery
  • vulnerability
  • Geographic information systems
  • Interpolation error
  • Multi-temporal Sentinel-2 Images
  • Landsat- 8
  • Landscape metrics
  • Geometric Correction
  • Alfalfa
  • GPM
  • RMSE
  • Mashhad
  • Earthquake
  • Spatial analysis
  • Kurdistan province
  • spectroscopy
  • TRMM
  • prediction
  • markov chain
  • Spatial features
  • Fourier transform
  • Porphyry Copper
  • Entropy
  • ETM+
  • Mean absolute error
  • Zonation
  • Tehran metropolis
  • Principal Component Analysis
  • Soil erosion
  • spectral angle mapper indecs
  • Validation
  • Albedo
  • Climatic factors
  • Fire
  • SAM
  • TIN
  • Kajaki Dam
  • Sentinel- 2
  • UAV
  • kappa coefficient
  • Stepwise regression
  • Crop Coefficient
  • Feature extraction
  • Network Capacity
  • movement prediction
  • Gini coefficient
  • Yield Estimation
  • Kriging
  • Land cover change
  • IMERG
  • game theory
  • Precipitation
  • spectral and spatial data
  • Road Network
  • Accessibility
  • Tilt Angle
  • NDVI time-series
  • Standardized precipitation index
  • Linear Regression
  • Red edge Index
  • Runoff
  • thermal remote sensing
  • Orbital Parameters Model
  • organic matter
  • spatio-temporal analyses
  • XGBoost
  • Multiple regression
  • Modeling
  • internet of things
  • Keywords: Remote Sensing
  • Coherence
  • Dust
  • Conservation
  • Machine Learning Algorithms
  • Image Fusion
  • Precipitation Estimation
  • Texture
  • Iron ore
  • Soil salinity
  • monitoring
  • Overall accuracy
  • Road extraction
  • Water bodies
  • Multi-criteria Decision Making
  • Random Forests
  • Neural Networks
  • Erosion
  • Radiative transfer model
  • Sistan Plain
  • Support Vector Machine (SVM)
  • Soft Classification
  • Accuracy Assessment
  • Digital elevation model (DEM)
  • Urban Design
  • Magnetometric
  • Rainfall
  • Land use change
  • Mashhad metropolis
  • Correlation
  • Spectral Indices
  • CHIRPS
  • Artificial Neural Networks
  • Ensemble Model
  • MCDM
  • Markov Random Field
  • Interferometric synthetic aperture radar (InSAR)
  • Land use changes
  • downscaling
  • AOD
  • SEBAL
  • Threshold
  • Weighting
  • Urban
  • Ant Colony Optimization
  • SEBAL model
  • Image registration