Training Course: Advanced Geospatial Analysis: GIS, LiDAR Data Processing, and Modeling

Introduction

The Advanced Geospatial Analysis course is designed to provide participants with a comprehensive understanding of the most modern and advanced techniques in Geographic Information Systems (GIS), LiDAR data processing, and modeling. This hands-on course will equip participants with the skills and knowledge required to effectively analyze and interpret geospatial data, extract valuable insights, and create sophisticated models for various applications.

Objectives

• To provide participants with a solid foundation in GIS, LiDAR data processing, and modeling concepts.
• To familiarize participants with the latest advancements and best practices in geospatial analysis.
• To enable participants to acquire practical skills in manipulating and analyzing geospatial data using GIS software.
• To equip participants with the ability to process and interpret LiDAR data for various applications.
• To enable participants to create and implement advanced geospatial models for solving real-world problems.

Course Outline

Day 1

 Introduction to GIS

• Overview of GIS fundamentals and applications
• Understanding spatial data models and coordinate systems
• Introduction to GIS software and tools
• Data acquisition and sources for GIS analysis

Day 2

 Advanced GIS Analysis Techniques

• Spatial data manipulation and geoprocessing
• Spatial analysis methods (buffering, overlay, proximity analysis)
• Raster analysis and modeling
• Visualization and cartography techniques

Day 3

 LiDAR Data Processing

• Introduction to LiDAR technology and data characteristics
• LiDAR data acquisition and preprocessing techniques
• Point cloud classification and filtering
• Digital elevation model (DEM) generation from LiDAR data

Day 4

 LiDAR Data Analysis and Applications

• LiDAR data visualization and exploration
• Terrain analysis and feature extraction
• LiDAR data fusion with other geospatial datasets
• LiDAR applications in urban planning, forestry, and environmental studies

Day 5

 Geospatial Modeling

• Introduction to geospatial modeling concepts
• Model design and parameterization
• Implementation of advanced geospatial models
• Model validation and accuracy assessment