QGIS (Intermediate Level) Remote Sensing and Image Classification with QGIS Training Course

This live, instructor-facilitated online course is designed for advanced proficiency in managing large-scale spatial databases using PostGIS and QGIS. It is intended for professionals seeking to enhance their capability to handle complex geospatial data for government applications.

Instructional Methodology

• Facilitated lecture sessions with interactive discussions.
• Extensive practical exercises and applied training.
• Real-time implementation within a live laboratory environment.

Program Customization

• To request a tailored training program for this course, please contact the designated program administrator for coordination.

This instructor-led live training, conducted in US (either online or onsite), is intended for entry-level professionals in earth sciences and engineering who aim to employ Python for geospatial analysis for government purposes within both ArcGIS and QGIS environments.

Upon completion of this training, participants will be able to:

• Utilize Python syntax and control structures to execute geospatial tasks efficiently.
• Employ Pandas, NumPy, and Matplotlib for data analysis and visualization in GIS.
• Process and analyze vector data using Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows via Python scripting in ArcGIS and QGIS.
• Construct custom Python-based geoprocessing tools for ArcGIS and QGIS to optimize task execution.

A Geographic Information System (GIS) serves as a technical framework for capturing, storing, manipulating, analyzing, managing, and presenting spatial data. The term GIS is also frequently applied to GIScience, the academic field dedicated to the study of these systems within the broader discipline of geoinformatics.

QGIS operates as professional GIS software for government and public sector entities, enabling the analysis and modification of spatial data alongside the creation and export of cartographic products. It accommodates both raster and vector data structures; vector data is represented through point, line, or polygon features. The platform supports multiple raster image formats and includes georeferencing capabilities. This software facilitates the creation, editing, visualization, analysis, and publication of geospatial information across Windows, macOS, Linux, and BSD environments.

The initial module of this program provides a comprehensive introduction to the QGIS interface for operational use. The subsequent module presents PyQGIS, comprising the Python libraries that allow for the integration of GIS functionalities into custom Python code or applications. This capability supports the development of specialized Python plugins tailored to specific GIS requirements for government workflows.

This entry-level, instructor-led training in US offers a comprehensive introduction to GIS principles and QGIS functionality. The curriculum addresses spatial data standards, vector editing techniques, and cartographic styling. Participants will develop practical competencies through hands-on exercises, enabling them to produce professional-grade maps for government communication.