Iranian Journal of Remote Sensing and GIS

Iranian Journal of Remote Sensing and GIS

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.

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
  • Google Earth Engine
  • Sentinel-2
  • ASTER
  • NDVI
  • Drought
  • Iran
  • Deep Learning
  • Vegetation index
  • Sentinel-1
  • Artificial Neural Network
  • Land Surface Temperature
  • OLI
  • time series
  • Change detection
  • LANDSAT 8
  • Landsat
  • LST
  • Leaf Area Index
  • Fuzzy logic
  • Tehran
  • Geographic Information System (GIS)
  • Genetic algorithm
  • Flood
  • Evapotranspiration
  • climate change
  • Agriculture
  • snow cover
  • Hyperspectral images
  • MODIS Sensor
  • Maximum likelihood
  • Air pollution
  • Dust storms
  • Anzali Wetland
  • hyperspectral
  • Neural Network
  • Shannon Entropy
  • Crop mapping
  • spatial equity
  • Alteration
  • Satellite images
  • Landuse
  • Object-oriented Classification
  • Urmia Lake
  • Artificial Intelligence
  • Feature selection
  • Wheat
  • Land use/cover
  • Fuzzy Inference System
  • Water quality
  • SVM
  • Land cover
  • building detection
  • Geographic Information System
  • Sensitivity Analysis
  • Satellite Imagery
  • Spatial modeling
  • TOPSIS
  • Radar
  • Agent-Based
  • Zoning
  • 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
  • Urban
  • Geometric Correction
  • Spatial features
  • Mashhad
  • RMSE
  • Spatial analysis
  • Markov Random Field
  • Landsat- 8
  • Landscape metrics
  • Multi-temporal Sentinel-2 Images
  • spectroscopy
  • Interpolation error
  • Interferometric synthetic aperture radar (InSAR)
  • spectral angle mapper indecs
  • Fourier transform
  • ETM+
  • Karun Watershed
  • Mean absolute error
  • Artificial Neural Networks
  • Tehran metropolis
  • Crop Coefficient
  • Mashhad metropolis
  • Satellite image
  • Validation
  • Albedo
  • SAM
  • Climatic factors
  • Kajaki Dam
  • Sentinel- 2
  • Stepwise regression
  • TIN
  • AIRS
  • 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
  • Machine Learning Algorithms
  • Modeling
  • thermal remote sensing
  • Runoff
  • Multiple regression
  • Coherence
  • Linear Regression
  • Texture
  • Image Fusion
  • spectral and spatial data
  • Road Network
  • Overall accuracy
  • Accessibility
  • Soil salinity
  • monitoring
  • Iron ore
  • Trend analysis
  • Yield Estimation
  • Multi-criteria Decision Making
  • Random Forests
  • Erosion
  • Sistan Plain
  • Support Vector Machine (SVM)
  • Feature extraction
  • Soft Classification
  • Accuracy Assessment
  • UAV
  • Urban Design
  • Digital elevation model (DEM)
  • Magnetometric
  • Rainfall
  • Land use change
  • Land use changes
  • Ensemble Model
  • Soil erosion
  • Entropy
  • CHIRPS
  • MCDM
  • Ant Colony Optimization
  • markov chain
  • downscaling
  • Spectral Indices
  • AOD
  • Alfalfa
  • SEBAL
  • Earthquake
  • Threshold
  • Weighting
  • Correlation
  • SEBAL model