Drone Data Processing: Mapping, 3D & Multi-Sensor

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 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.

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

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.

Learn what QGIS is, explore its interface and capabilities, understand its role in drone mapping and geospatial analysis, and discover how it is used across industries such as surveying, agriculture, construction, LiDAR, and infrastructure.

Learn how to create a new QGIS project, configure project settings, understand the workspace and interface, save projects correctly, and prepare an organized environment for processing drone mapping data.

Learn the fundamentals of Coordinate Reference Systems (CRS), understand their importance in GIS, use Google Earth Pro to identify the correct coordinate system for drone datasets, and apply the appropriate CRS in QGIS for accurate spatial analysis.

Learn how to import orthomosaic and DEM files generated from Agisoft Metashape into QGIS, visualize raster datasets, verify their spatial alignment, and prepare them for further GIS analysis and mapping.

Learn how to reproject orthomosaic and DEM datasets into the required Coordinate Reference System (CRS), understand when reprojection is necessary, and ensure accurate spatial alignment for analysis, measurements, and map creation.

Learn how to interpret a drone orthomosaic by identifying different land features using visual interpretation techniques such as shape, size, pattern, colour, texture, and shadow. This lecture builds the foundation for digitization and GIS mapping.

Learn how to accurately measure real-world distances using a georeferenced orthomosaic. Measure buildings, roads, and other features while understanding practical applications in surveying, construction, and infrastructure planning.

Learn how to calculate the area of agricultural fields, buildings, water bodies, and land parcels using QGIS. This lecture demonstrates accurate area measurements for real-world GIS, surveying, and land management projects.

Learn how to capture and interpret geographic coordinates from a drone orthomosaic.

Learn how to create a point layer in QGIS using a GeoPackage and understand when to use point geometry. This lecture prepares you to digitize point features such as trees, cars, electric poles, water tanks, and other assets from a drone orthomosaic.

Learn how to create a line layer in QGIS and understand how linear features are represented in GIS. You'll prepare a layer for digitizing roads, pipelines, drainage networks, and other infrastructure from drone imagery.

Learn how to create a polygon layer in QGIS and understand how area-based features are represented. This lecture prepares you to digitize buildings, agricultural fields, water bodies, and land parcels from a drone orthomosaic.

Learn how to create and manage attribute fields in QGIS, edit feature information, and use the Field Calculator to automate calculations such as building area and building perimeter . This lecture introduces essential attribute management techniques used in professional GIS projects.

Learn how to use QGIS attribute management and the Field Calculator to calculate road lengths and building areas. This practical lecture demonstrates how to convert digitized features into useful quantitative GIS information.

Learn how to organize multiple GIS layers into a structured QGIS project. This lecture covers practical layer management, naming, grouping, and organizing raster and vector datasets for a professional GIS workflow.

Learn how to improve the visual presentation of GIS data using symbology and categorized maps. Customize colours, symbols, and feature styles to create clear and informative maps.

Learn how to create a professional map layout in QGIS and add a legend. You'll arrange your map and essential elements to prepare it for presentation and reporting.

Learn how to add essential cartographic elements to your QGIS map, including a north arrow, scale bar, and coordinate grid. These elements help make your map professional, readable, and geographically meaningful.

Learn how to add and format a professional map title, author name, and other essential map information using the QGIS Layout Manager.

Learn how to include coordinate reference system information in your final map and export the completed cartographic layout for professional use. Prepare your GIS map for sharing, reporting, and printing.