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