Iranian Journal of Remote Sensing and GIS

Iranian Journal of Remote Sensing and GIS

Iranian Journal of Remote Sensing and GIS

Journal Archive


2024 CiteScore: 0.3

 

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