تاریخ انتشار -

• Evaluating the performance of change indices extracted from multi-temporal remote sensing images in detecting land use and land cover changes
• Spatial-temporal prediction of high-risk areas of Covid-19 disease using Geographically Weighted Regression and Multi Layer Perceptron neural network
• Studying subsidence in urban areas and its effect on transportation infrastructure using the method based on Persistent Scatterer.
• investigatin the accuracy of iPhone LiDAR in preparing point clouds of tree trunks (Case study: Middle Zagros - Oak forests of Lorestan province)
• Investigating three-dimensional convolutional and recurrent neural networks for crop classification using time-series optical images
• Monitoring of ground movement and estimation of earthquake fault parameters using Sentinel-1 data (Case study: Genaveh earthquake)
• True orthophoto mosaic generation: a simple and fast method
• 3D flight planning for UAV-based photogrammetry in urban areas with an emphasis on solving problems caused by extreme scale differences and occlusion points
• Local gravity field modeling using gravity difference observations along the line of sight of the GRACE-FO satellites and adjusted spherical cap harmonic basis functions
• Spatial distribution of soil elements and its effect on fertility using geographic information system