Import Raster & Compute NDWI in ArcPy Spatial Analysis | ArcGIS Pro Part 9
Welcome to Part 9 of our ArcGIS Pro + Python (ArcPy) Research-grade workflow tutorial series! In this video, you’ll learn how to import raster datasets, clip them to your study area, and compute the Normalized Difference Water Index (NDWI) using ArcGIS Pro and ArcPy for advanced spatial analysis. This is a must-know workflow for anyone working in remote sensing, water resource management, and environmental monitoring.
What You’ll Learn in This Tutorial
How to load raster bands using ArcPy, clipping raster data using Extract by Mask, understanding NDWI formula, (Green – NIR) / (Green + NIR), step-by-step NDWI calculation using Python, exporting NDWI output as GeoTIFF (.tif), automating geospatial analysis workflows
Why NDWI is Important
The Normalized Difference Water Index (NDWI) is widely used to detect and map water bodies, monitor flooded areas, analyze surface water changes, support hydrological and environmental studies. It plays a key role in GIS, remote sensing, and climate research.
Who Should Watch
GIS & Remote Sensing students, Geospatial analysts, Hydrology & environmental researchers, Python developers in GIS, & Anyone interested in spatial data automation. This video is part of a complete ArcGIS Pro + ArcPy training series, where you’ll learn, Raster & vector data processing, Spatial analysis techniques, Python automation with ArcPy & Remote sensing workflows
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