In this lecture, you will learn how to download, install, and set up Agisoft Metashape on your system. This ensures you are ready to start photogrammetry processing.

In this lecture, you will understand the Metashape interface, workspace, and chunk system, along with a brief overview of the photogrammetry workflow.

In this lecture, you will learn how to import drone images into Metashape and understand the basics of camera calibration for accurate processing.

In this lecture, you will learn how to import reference data and apply GNSS offset to improve the accuracy of your photogrammetry project.

In this lecture, you will perform image alignment and learn how to place Ground Control Points to enhance the accuracy of your project.

In this lecture, you will learn how to generate DEM and orthomosaic from processed data and understand their role in mapping and analysis.

In this lecture, you will learn how to use the confidence filter tool to clean and improve the quality of the dense point cloud.

In this lecture, you will learn how to classify point clouds and generate a DTM by extracting ground points for accurate terrain modeling.

In this lecture, you will learn how to perform measurements such as distance, area, and elevation using DEM data.

In this lecture, you will explore different DEM editing tools to refine and improve elevation models for better results.

Learn how to import aerial images and perform initial alignment to create a reliable project foundation without using GCPs.

Generate a dense point cloud, remove noise using filtering techniques, and optimize camera alignment to improve overall model accuracy.

Create DEM, DTM, and orthomosaic outputs from processed data and export them for mapping, analysis, and real-world applications.

In this lecture, you will understand the fundamentals of thermal data, including how thermal imagery differs from RGB images and how it represents temperature variations. You will also learn about radiometric and non-radiometric data, key concepts, and real-world applications of thermal data in drone-based projects.

Learn how to process radiometric thermal imagery and generate orthomosaic outputs with actual temperature values in Agisoft Metashape. Understand how to analyze thermal data, interpret temperature variations, and detect hotspots for accurate real-world applications

Learn how to process non-radiometric (grayscale) thermal imagery and generate orthomosaic outputs in Agisoft Metashape. Understand how to visualize heat patterns and identify hotspots using contrast and color palettes for effective analysis.

Transform raw photogrammetry data into a detailed and realistic 3D model by building meshes and applying high-quality textures in Agisoft Metashape. Learn how to bring your data to life, creating visually rich models ready for analysis, presentation, and real-world applications.

Learn the complete step-by-step process of converting raw multispectral drone images into useful outputs, including alignment, point cloud, DEM, and orthomosaic generation in Agisoft Metashape.

Understand how to calculate NDVI using the Raster Calculator and analyze crop health by interpreting vegetation index values and color maps.

In this lecture, you will learn the fundamentals of LiDAR data, including how it works, different types of LiDAR systems, and commonly used file formats like LAS and LAZ.

In this lecture, you will learn how to identify the correct coordinate system of your area of interest using Google Earth Pro for accurate LiDAR data processing.

In this lecture, you will learn what trajectory and point cloud data are, and how they work together for accurate LiDAR data processing.

Learn how to remove noise from trajectory and enhance LiDAR point cloud using smoothing techniques for better accuracy.