Morteza Mousavi Email & Phone Number

Tehran, Ir

Tehran Province, Iran

• Summary:As a UAV expert, I am responsible for capturing and processing aerial imagery using drones. In my role, I use this imagery to generate detailed Digital Terrain Models (DTM), Digital Elevation Models (DEM), and orthomosaics. These models are crucial for estimating volumes, such as in construction or mining projects, and for creating accurate 3D representations of landscapes or structures.I utilize various specialized software tools in my career:• Python: For custom data processing, automation, and analysis.• Pix4D: For photogrammetry and generating 3D models and maps from drone images.• Agisoft: For creating high-resolution 3D models and orthomosaics from aerial images.• ContextCapture: For large-scale 3D modeling and reality capture.

Tehran Province, Iran

• Summary:At the Iran Telecommunication Research Center (ITRC), I focus on using satellite imagery and deep learning to manage crops and estimate crop areas. my work involves monitoring agricultural fields, preprocessing satellite data, extracting relevant features, and developing models for tasks such as crop classification, yield prediction. This helps optimize agricultural practices and supports decision-making for farmers and policymakers.

Tehran, Tehran Province, Iran

• Summary:I have worked as a remote sensing technologies at Sedreh Company, contributing to the advancement of company projects through innovative solutions. Our team collaborated to leverage remote sensing, machine learning, and deep learning to ensure project success. During my time with Sedreh, I worked on the following key projects:• Key Projects:1 - High-Resolution Image Classification: This project focused on creating a model to examine land use changes using high-resolution data. We first developed a suitable model with this data and then applied the trained model to extract high-quality data.2 - High-Resolution Image Correction: Aimed at improving and reducing ortho-photo errors in Google Earth's high-resolution images, this project utilized deep learning methods. We employed a convolutional network with UNet architectures for the generator network in the GAN architecture to correct ortho-photo errors.3 - Separation of Agricultural Products (Wheat and Barley): This project addressed the challenge of separating and classifying wheat and barley, which are difficult to distinguish due to their similar characteristics. We focused on identifying the crops based on their growth trends and texture characteristics.My experience in these projects underscores my expertise in applying advanced remote sensing techniques and integrating cutting-edge machine learning and deep learning methodologies to drive successful outcomes.

Tehran, Iran

• Summary:Since I began my master's degree in remote sensing at the University of Tehran, I have been passionate about exploring how climate change impacts our environment. Motivated by this interest, I decided to focus my research on assessing the effects of climate change on wetlands. Under the guidance of Prof. Mehdi Akhondzadeh, I am combining remote sensing techniques with deep learning methods to achieve this goal.• Research Interests:Environment, Wetland, groundwater resources, Climate change, machine learning, Natural hazards, time series analysis, deep learning, Remote sensing.

Tehran, Iran

Master Of Science (M.Sc.), Remote Sensing Eng., Gpa: 3.87/4.0

• Thesis: "Monitoring Changes in Wetlands and Climatic Parameters Affecting Them Using Satellite Data" Guided by Prof. Mehdi Akhondzadeh..

Bachelor Of Engineering - Be, Surveying Engineering

Grade: 3.7/4.0 First Rank Student School of Surveying and Geospatial Engineering