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