The GIS Remote Sensing in ArcGIS course provides learners with a robust foundation in the principles and practical applications of remote sensing using ArcGIS. The course begins by introducing the fundamentals of remote sensing, satellite imagery, and spectral bands—key components in extracting meaningful spatial data from earth observation technologies. Learners will understand how to interpret, classify, and analyse satellite images to support decision-making in a variety of sectors.

Early modules focus on essential image preparation techniques, including layer stacking and georeferencing satellite images to align them accurately with real-world coordinates. Students will then explore ArcGIS’s powerful raster tools for geoprocessing and spatial analysis. These tools are vital for transforming raw imagery into actionable insights, particularly in environmental management and land-use planning.

Advanced modules guide learners through raster analysis functions and the georeferencing of topographic sheets (toposheets), which is crucial for integrating traditional maps with satellite data. The course then introduces the concept of weighted overlay analysis for site suitability studies, delivered in a two-part module that explains how to assign spatial weights to various criteria for optimal location analysis.

Learners will also explore watershed delineation from Digital Elevation Models (DEMs), providing valuable skills for hydrological analysis, catchment mapping, and water resource planning. The course concludes with unsupervised classification techniques, enabling learners to extract land cover patterns and classify satellite data without prior training sets.

By the end of the course, students will possess practical GIS and remote sensing skills in ArcGIS, enabling them to undertake professional-level spatial analysis and mapping projects across multiple disciplines.